973 results on '"Francis, Susan"'
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2. Cognitive and psychiatric symptom trajectories 2–3 years after hospital admission for COVID-19: a longitudinal, prospective cohort study in the UK
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Lone, Nazir, Baillie, Kenneth, Pairo-Castineira, Erola, Avramidis, Nikos, Wain, Louise, Guillen-Guio, Beatriz, Leavy, Olivia, Jones, S, Armstrong, Lisa, Hairsine, Brigid, Henson, Helen, Kurasz, Claire, Shaw, Alison, Shenton, Liz, Dobson, Hannah, Dell, Amanda, Fairbairn, Sara, Hawkings, Nancy, Haworth, Jill, Hoare, Michaela, Lewis, Victoria, Lucey, Alice, Mallison, Georgia, Nassa, Heeah, Pennington, Chris, Price, Andrea, Price, Claire, Storrie, Andrew, Willis, Gemma, Young, Susan, Poinasamy, Krisnah, Walker, Samantha, Jarrold, Ian, Rawlik, Konrad, Sanderson, Amy, Chong-James, K, David, C, James, W Y, Pfeffer, Paul, Zongo, O, Martineau, Adrian, Manisty, C, Armour, Cherie, Brown, Vanessa, Busby, John, Connolly, Bronwen, Craig, Thelma, Drain, Stephen, Heaney, Liam, King, Bernie, Magee, Nick, Major, E, McAulay, Danny, McGarvey, Lorcan, McGinness, Jade, Peto, Tunde, Stone, Roisin, Bolger, Annette, Davies, Ffyon, Haggar, Ahmed, Lewis, Joanne, Lloyd, Arwel, Manley, R, McIvor, Emma, Menzies, Daniel, Roberts, K, Saxon, W, Southern, David, Subbe, Christian, Whitehead, Victoria, Bularga, Anda, Mills, Nicholas, Dawson, Joy, El-Taweel, Hosni, Robinson, Leanne, Brear, Lucy, Regan, Karen, Saralaya, Dinesh, Storton, Kim, Amoils, Shannon, Bermperi, Areti, Cruz, Isabel, Dempsey, K, Elmer, Anne, Fuld, Jonathon, Jones, H, Jose, Sherly, Marciniak, Stefan, Parkes, M, Ribeiro, Carla, Taylor, Jessica, Toshner, Mark, Watson, L, Worsley, J, Broad, Lauren, Evans, Teriann, Haynes, Matthew, Jones, L, Knibbs, Lucy, McQueen, Alison, Oliver, Catherine, Paradowski, Kerry, Sabit, Ramsey, Williams, Jenny, Jones, Ian, Milligan, Lea, Harris, Edward, Sampson, Claire, Davies, Ellie, Evenden, Cerys, Hancock, Alyson, Hancock, Kia, Lynch, Ceri, Rees, Meryl, Roche, Lisa, Stroud, Natalie, Thomas-Woods, T, Heller, Simon, Chalder, Trudie, Shah, Kamini, Robertson, Elizabeth, Young, Bob, Babores, Marta, Holland, Maureen, Keenan, Natalie, Shashaa, Sharlene, Wassall, Helen, Austin, Liam, Beranova, Eva, Cosier, Tracey, Deery, Joanne, Hazelton, Tracy, Price, Carly, Ramos, Hazel, Solly, Reanne, Turney, Sharon, Weston, Heather, Coughlan, Eamon, Ralser, Markus, Pearce, Lorraine, Pugmire, S, Stoker, Wendy, Wilson, Ann, McCormick, W, Fraile, Eva, Ugoji, Jacinta, Aguilar Jimenez, Laura, Arbane, Gill, Betts, Sarah, Bisnauthsing, Karen, Dewar, A, Hart, Nicholas, Kaltsakas, G, Kerslake, Helen, Magtoto, Murphy, Marino, Philip, Martinez, L M, Ostermann, Marlies, Rossdale, Jennifer, Solano, Teresa, Alvarez Corral, Maria, Arias, Ava Maria, Bevan, Emily, Griffin, Denise, Martin, Jane, Owen, J, Payne, Sheila, Prabhu, A, Reed, Annabel, Storrar, Will, Williams, Nick, Wrey Brown, Caroline, Burdett, Tracy, Featherstone, James, Lawson, Cathy, Layton, Alison, Mills, Clare, Stephenson, Lorraine, Ellis, Yvette, Atkin, Paul, Brindle, K, Crooks, Michael, Drury, Katie, Easom, Nicholas, Flockton, Rachel, Holdsworth, L, Richards, A, Sykes, D L, Thackray-Nocera, Susannah, Wright, C, Coetzee, S, Davies, Kim, Hughes, Rachel 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Liew, Felicity, Frankel, Anew, Lightstone, Liz, McAdoo, Steve, Wilkins, Martin, Willicombe, Michelle, Touyz, R, Guerdette, Anne-Marie, Hewitt, Melanie, Reddy, R, Warwick, Katie, White, Sonia, McMahon, Aisling, Adeyemi, Oluwaseun, Adrego, Rita, Assefa-Kebede, Hosanna, Breeze, Jonathon, Byrne, S, Dulawan, Pearl, Hoare, Amy, Jolley, Caroline, Knighton, Abigail, Patale, Sheetal, Peralta, Ida, Powell, Natassia, Ramos, Albert, Shevket, K, Speranza, Fabio, Te, Amelie, Malim, M, Bramham, Kate, Brown, M, Ismail, Khalida, Nicholson, Tim, Pariante, Carmen, Sharpe, Claire, Wessely, Simon, Whitney, J, Shah, Ajay, Chiribiri, A, O'Brien, C, Hayday, A, Ashworth, Andrew, Beirne, Paul, Clarke, Jude, Coupland, C, Dalton, Matthhew, Favager, Clair, Glossop, Jodie, Greenwood, John, Hall, Lucy, Hardy, Tim, Humphries, Amy, Murira, Jennifer, Peckham, Dan, Plein, S, Rangeley, Jade, Saalmink, Gwen, Tan, Ai Lyn, Wade, Elaine, Whittam, Beverley, Window, Nicola, Woods, Janet, Coakley, G, Turtle, Lance, Allerton, 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Connell, David, Deas, C, Elliott, Anne, George, J, Mohammed, S, Rowland, J, Solstice, AR, Sutherland, Debbie, Tee, Caroline, Bunker, Jenny, Gill, Rhyan, Nathu, Rashmita, Holmes, Katie, Adamali, H, Arnold, David, Barratt, Shaney, Dipper, A, Dunn, Sarah, Maskell, Nick, Morley, Anna, Morrison, Leigh, Stadon, Louise, Waterson, Samuel, Welch, H, Jayaraman, Bhagy, Light, Tessa, Vogiatzis, Ioannis, Almeida, Paula, Bolton, Charlotte, Hosseini, Akram, Matthews, Laura, Needham, Robert, Shaw, Karen, Thomas, Andrew, Bonnington, J, Chrystal, Melanie, Dupont, Catherine, Greenhaff, Paul, Gupta, Ayushman, Jang, W, Linford, S, Nikolaidis, Athanasios, Prosper, Sabrina, Burns, A, Kanellakis, N, Ferreira, V, Nikolaidou, C, Xie, C, Ainsworth, Mark, Alamoudi, Asma, Bloss, Angela, Carter, Penny, Cassar, M, Chen, Jin, Conneh, Florence, Dong, T, Evans, Ranuromanana, Fraser, Emily, Geddes, John, Gleeson, F, Harrison, Paul, Havinden-Williams, May, Ho, Ling Pei, Jezzard, P, Koychev, Ivan, Kurupati, Prathiba, 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Roger, Tinker, N, Turner, Kim, Turton, Helena, Wade, Phillip, Walker, S, Watson, James, Wilson, Imogen, Zawia, Amira, Allsop, Lynne, Bennett, Kaytie, Buckley, Phil, Flynn, Margaret, Gill, Mandy, Goodwin, Camelia, Greatorex, M, Gregory, Heidi, Heeley, Cheryl, Holloway, Leah, Holmes, Megan, Hutchinson, John, Kirk, Jill, Lovegrove, Wayne, Sewell, Terri Ann, Shelton, Sarah, Sissons, D, Slack, Katie, Smith, Susan, Sowter, D, Turner, Sarah, Whitworth, V, Wynter, Inez, Tomlinson, Johanne, Warburton, Louise, Painter, Sharon, Palmer, Sue, Redwood, Dawn, Tilley, Jo, Vickers, Carinna, Wainwright, Tania, Breen, G, Hotopf, M, Aul, Raminder, Forton, D, Ali, Mariam, Dunleavy, A, Mencias, Mark, Msimanga, N, Samakomva, T, Siddique, Sulman, Tavoukjian, Vera, Teixeira, J, Ahmed, Rubina, Francis, Richard, Connor, Lynda, Cook, Amanda, Davies, Gwyneth, Rees, Tabitha, Thaivalappil, Favas, Thomas, Caradog, McNarry, M, Williams, N, Lewis, Keir, Coulding, Martina, Jones, Heather, Kilroy, Susan, McCormick, Jacqueline, McIntosh, Jerome, Turner, Victoria, Vere, Joanne, Butt, Al-Tahoor, Savill, Heather, Kon, Samantha, Landers, G, Lota, Harpreet, Portukhay, Sofiya, Nasseri, Mariam, Daniels, Alison, Hormis, Anil, Ingham, Julie, Zeidan, Lisa, Chablani, Manish, Osborne, Lynn, Aslani, Shahab, Banerjee, Amita, Batterham, R, Baxter, Gabrielle, Bell, Robert, David, Anthony, Denneny, Emma, Hughes, Alun, Lilaonitkul, W, Mehta, P, Pakzad, Ashkan, Rangelov, Bojidar, Williams, B, Willoughby, James, Xu, Moucheng, Ahwireng, Nyarko, Bang, Dongchun, Basire, Donna, Brown, Jeremy, Chambers, Rachel, Checkley, A, Evans, R, Heightman, M, Hillman, T, Jacob, Joseph, Jastrub, Roman, Lipman, M, Logan, S, Lomas, D, Merida Morillas, Marta, Plant, Hannah, Porter, Joanna, Roy, K, Wall, E, Treibel, T, Ahmad Haider, N, Atkin, Catherine, Baggott, Rhiannon, Bates, Michelle, Botkai, A, Casey, Anna, Cooper, B, Dasgin, Joanne, Dawson, Camilla, Draxlbauer, Katharine, Gautam, N, Hazeldine, J, Hiwot, T, Holden, Sophie, Isaacs, Karen, Jackson, T, Kamwa, Vicky, Lewis, D, Lord, Janet, Madathil, S, McGee, C, Mcgee, K, Neal, Aoife, Newton-Cox, Alex, Nyaboko, Joseph, Parekh, Dhruv, Peterkin, Z, Qureshi, H, Ratcliffe, Liz, Sapey, Elizabeth, Short, J, Soulsby, Tracy, Stockley, J, Suleiman, Zehra, Thompson, Tamika, Ventura, Maximina, Walder, Sinead, Welch, Carly, Wilson, Daisy, Yasmin, S, Yip, Kay Por, Chaudhuri, N, Childs, Caroline, Djukanovic, R, Fletcher, S, Harvey, Matt, Jones, Mark, Marouzet, Elizabeth, Marshall, B, Samuel, Reena, Sass, T, Wallis, Tim, Wheeler, Helen, Steeds, R, Beckett, Paul, Dickens, Caroline, Nanda, Uttam, Aljaroof, M, Armstrong, Natalie, Arnold, H, Aung, Hnin, Bakali, Majda, Bakau, M, Baldry, E, Baldwin, Molly, Bourne, Charlotte, Bourne, Michelle, Brightling, Chris, Brunskill, Nigel, Cairns, P, Carr, Liesel, Charalambou, Amanda, Christie, C, Davies, Melanie, Daynes, Enya, Diver, Sarah, Dowling, Rachael, Edwards, Sarah, Edwardson, C, Elneima, Omer, Evans, H, Evans, Rachael, Finch, J, Glover, Sarah, Goodman, Nicola, Gooptu, Bibek, Greening, Neil, Hadley, Kate, Haldar, Pranab, Hargadon, Beverley, Harris, Victoria, Houchen-Wolloff, Linzy, Ibrahim, W, Ingram, L, Khunti, Kamlesh, Lea, A, Lee, D, McAuley, Hamish, McCann, Gerry, McCourt, P, Mcnally, Teresa, Mills, George, Monteiro, Will, Pareek, Manish, Parker, S, Prickett, Anne, Qureshi, I N, Rowland, A, Russell, Richard, Sereno, Marco, Shikotra, Aarti, Siddiqui, Salman, Singapuri, Ananga, Singh, Sally, Skeemer, J, Soares, M, Stringer, E, Thornton, T, Tobin, Martin, Ward, T J C, Woodhead, F, Yates, Tom, Yousuf, A J, Broome, Mattew, McArdle, Paul, Thickett, David, Upthegrove, Rachel, Wilkinson, Dan, Moss, Paul, Wraith, David, Evans, Jonathon, Bullmore, Ed, Heeney, Jonathon, Langenberg, Claudia, Schwaeble, William, Summers, Charlotte, Weir McCall, J, Adeloye, Davies, Newby, D E, Pius, Riinu, Rudan, Igor, Shankar-Hari, Manu, Sudlow, Catherine, Thorpe, Mat, Walmsley, Sarah, Zheng, Bang, Allan, Louise, Ballard, Clive, McGovern, Andrew, Dennis, J, Cavanagh, Jonathon, MacDonald, S, O'Donnell, Kate, Petrie, John, Sattar, Naveed, Spears, Mark, Guthrie, Elspeth, Henderson, Max, Allen, Richard, Bingham, Michelle, Brugha, Terry, Finney, Selina, Free, Rob, Jones, Don, Lawson, Claire, Lucy, Gardiner, Moss, Alistair, Mukaetova-Ladinska, Elizabeta, Novotny, Petr, Overton, Charlotte, Pearl, John, Plekhanova, Tatiana, Richardson, M, Samani, Nilesh, Sargant, Jack, Sharma, M, Steiner, Mike, Taylor, Chris, Terry, Sarah, Tong, C, Turner, E, Wormleighton, J, Zhao, Bang, Ntotsis, Kimon, Saunders, Ruth, Lozano-Rojas, Daniel, Goemans, Anne, Cuthbertson, D, Kemp, G, McArdle, Anne, Michael, Benedict, Reynolds, Will, Spencer, Lisa, Vinson, Ben, Ashworth, M, Abel, Kathryn, Chinoy, H, Deakin, Bill, Harvie, M, Miller, C A, Stanel, Stefan, Barran, Perdita, Trivedi, Drupad, McAllister-Williams, Hamish, Paddick, Stella-Maria, Rostron, Anthony, Taylor, John Paul, Baguley, David, Coleman, Chris, Cox, E, Fabbri, Laura, Francis, Susan, Hall, Ian, Hufton, E, Johnson, Simon, Khan, Fasih, Kitterick, Paaig, Morriss, Richard, Selby, Nick, Wright, Louise, Antoniades, Charalambos, Bates, A, Beggs, M, Bhui, Kamaldeep, Breeze, Katie, Channon, K M, Clark, David, Fu, X, Husain, Masud, Li, X, Lukaschuk, E, McCracken, Celeste, McGlynn, K, Menke, R, Motohashi, K, Nichols, T E, Ogbole, Godwin, Piechnik, S, Propescu, I, Propescu, J, Samat, A A, Sanders, Z B, Sigfrid, Louise, Webster, M, Kingham, Lucy, Klenerman, Paul, Lamlum, Hanan, Taquet, Maxime, Carson, G, Finnigan, L, Saunders, Laura, Wild, James, Calder, P C, Huneke, Nathan, Simons, Gemma, Baldwin, David, Bain, Steve, Daines, Luke, Bright, E, Crisp, P, Dharmagunawardena, Ruvini, Stern, M, Bailey, Elisabeth, Reddington, Anne, Wight, Andrew, Ashish, A, Cooper, Josh, Robinson, Emma, Broadley, Andrew, Barman, Laura, Brookes, Claire, Elliott, K, Griffiths, L, Guy, Zoe, Howard, Kate, Ionita, Diana, Redfearn, Heidi, Sarginson, Carol, Turnbull, Alison, Skorniewska, Zuzanna, De Deyn, Thomas, Hampshire, Adam, Trender, William R, Hellyer, Peter J, Chalmers, James D, Ho, Ling-Pei, Leavy, Olivia C, Richardson, Matthew, McAuley, Hamish J C, Singapuri, Amisha, Saunders, Ruth M, Harris, Victoria C, Greening, Neil J, Mansoori, Parisa, Harrison, Ewen M, Docherty, Annemarie B, Lone, Nazir I, Quint, Jennifer, Brightling, Christopher E, Wain, Louise V, Evans, Rachael A, Geddes, John R, and Harrison, Paul J
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- 2024
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3. Two-Dimensional Population Receptive Field Mapping of Human Primary Somatosensory Cortex
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Asghar, Michael, Sanchez-Panchuelo, Rosa, Schluppeck, Denis, and Francis, Susan
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- 2023
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4. Comparing magnetic resonance liver fat fraction measurements with histology in fibrosis: the difference between proton density fat fraction and tissue mass fat fraction
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Bawden, Stephen James, Hoad, Caroline, Kaye, Philip, Stephenson, Mary, Dolman, Grace, James, Martin W., Wilkes, Emilie, Austin, Andrew, Guha, Indra Neil, Francis, Susan, Gowland, Penny, and Aithal, Guruprasad P.
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- 2023
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5. Diagnostic utility of electrocardiogram for screening of cardiac injury on cardiac magnetic resonance in post-hospitalised COVID-19 patients: a prospective multicenter study
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Samat, Azlan Helmy Abd, Cassar, Mark P., Akhtar, Abid M., McCracken, Celeste, Ashkir, Zakariye M., Mills, Rebecca, Moss, Alastair J., Finnigan, Lucy E.M., Lewandowski, Adam J., Mahmod, Masliza, Ogbole, Godwin I., Tunnicliffe, Elizabeth M., Lukaschuk, Elena, Piechnik, Stefan K., Ferreira, Vanessa M., Nikolaidou, Chrysovalantou, Rahman, Najib M., Ho, Ling-Pei, Harris, Victoria C., Singapuri, Amisha, Manisty, Charlotte, O'Regan, Declan P., Weir-McCall, Jonathan R., Steeds, Richard P., LLM, Krisnah Poinasamy, Cuthbertson, Dan J., Kemp, Graham J., Horsley, Alexander, Miller, Christopher A., O'Brien, Caitlin, Chiribiri, Amedeo, Francis, Susan T., Chalmers, James D., Plein, Sven, Poener, Ana-Maria, Wild, James M., Treibel, Thomas A., Marks, Michael, Toshner, Mark, Wain, Louise V., Evans, Rachael A., Brightling, Christopher E., Neubauer, Stefan, McCann, Gerry P., and Raman, Betty
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- 2024
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6. Quantitative MRI of the Kidneys: Rationale and Challenges
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Francis, Susan, Serai, Suraj D., editor, and Darge, Kassa, editor
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- 2023
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7. Potential of Electronic Ticketing Machine Data in Public Transport Planning
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Francis, Susan, Sunitha, V., Mathew, Samson, di Prisco, Marco, Series Editor, Chen, Sheng-Hong, Series Editor, Vayas, Ioannis, Series Editor, Kumar Shukla, Sanjay, Series Editor, Sharma, Anuj, Series Editor, Kumar, Nagesh, Series Editor, Wang, Chien Ming, Series Editor, Devi, Lelitha, editor, Das, Animesh, editor, Sahu, Prasanta Kumar, editor, and Basu, Debasis, editor
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- 2023
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8. The relationship between Central Nervous System morphometry changes and key symptoms in Crohn’s disease
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Thapaliya, Gita, Eldeghaidy, Sally, Asghar, Michael, McGing, Jordan, Radford, Shellie, Francis, Susan, and Moran, Gordon William
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- 2023
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9. FU-net: Multi-class Image Segmentation Using Feedback Weighted U-net
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Jafari, Mina, Li, Ruizhe, Xing, Yue, Auer, Dorothee, Francis, Susan, Garibaldi, Jonathan, and Chen, Xin
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Electrical Engineering and Systems Science - Image and Video Processing ,Computer Science - Computer Vision and Pattern Recognition - Abstract
In this paper, we present a generic deep convolutional neural network (DCNN) for multi-class image segmentation. It is based on a well-established supervised end-to-end DCNN model, known as U-net. U-net is firstly modified by adding widely used batch normalization and residual block (named as BRU-net) to improve the efficiency of model training. Based on BRU-net, we further introduce a dynamically weighted cross-entropy loss function. The weighting scheme is calculated based on the pixel-wise prediction accuracy during the training process. Assigning higher weights to pixels with lower segmentation accuracies enables the network to learn more from poorly predicted image regions. Our method is named as feedback weighted U-net (FU-net). We have evaluated our method based on T1- weighted brain MRI for the segmentation of midbrain and substantia nigra, where the number of pixels in each class is extremely unbalanced to each other. Based on the dice coefficient measurement, our proposed FU-net has outperformed BRU-net and U-net with statistical significance, especially when only a small number of training examples are available. The code is publicly available in GitHub (GitHub link: https://github.com/MinaJf/FU-net)., Comment: Accepted for publication at International Conference on Image and Graphics (ICIG 2019)
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- 2020
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10. DRU-net: An Efficient Deep Convolutional Neural Network for Medical Image Segmentation
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Jafari, Mina, Auer, Dorothee, Francis, Susan, Garibaldi, Jonathan, and Chen, Xin
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Electrical Engineering and Systems Science - Image and Video Processing ,Computer Science - Computer Vision and Pattern Recognition - Abstract
Residual network (ResNet) and densely connected network (DenseNet) have significantly improved the training efficiency and performance of deep convolutional neural networks (DCNNs) mainly for object classification tasks. In this paper, we propose an efficient network architecture by considering advantages of both networks. The proposed method is integrated into an encoder-decoder DCNN model for medical image segmentation. Our method adds additional skip connections compared to ResNet but uses significantly fewer model parameters than DenseNet. We evaluate the proposed method on a public dataset (ISIC 2018 grand-challenge) for skin lesion segmentation and a local brain MRI dataset. In comparison with ResNet-based, DenseNet-based and attention network (AttnNet) based methods within the same encoder-decoder network structure, our method achieves significantly higher segmentation accuracy with fewer number of model parameters than DenseNet and AttnNet. The code is available on GitHub (GitHub link: https://github.com/MinaJf/DRU-net)., Comment: Accepted for publication at IEEE International Symposium on Biomedical Imaging (ISBI) 2020, 5 pages, 3 figures
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- 2020
11. A Spatially Constrained Deep Convolutional Neural Network for Nerve Fiber Segmentation in Corneal Confocal Microscopic Images using Inaccurate Annotations
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Zhang, Ning, Francis, Susan, Malik, Rayaz, and Chen, Xin
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Computer Science - Computer Vision and Pattern Recognition - Abstract
Semantic image segmentation is one of the most important tasks in medical image analysis. Most state-of-the-art deep learning methods require a large number of accurately annotated examples for model training. However, accurate annotation is difficult to obtain especially in medical applications. In this paper, we propose a spatially constrained deep convolutional neural network (DCNN) to achieve smooth and robust image segmentation using inaccurately annotated labels for training. In our proposed method, image segmentation is formulated as a graph optimization problem that is solved by a DCNN model learning process. The cost function to be optimized consists of a unary term that is calculated by cross entropy measurement and a pairwise term that is based on enforcing a local label consistency. The proposed method has been evaluated based on corneal confocal microscopic (CCM) images for nerve fiber segmentation, where accurate annotations are extremely difficult to be obtained. Based on both the quantitative result of a synthetic dataset and qualitative assessment of a real dataset, the proposed method has achieved superior performance in producing high quality segmentation results even with inaccurate labels for training., Comment: 4 pages, accepted for publication at IEEE International Symposium on Biomedical Imaging (ISBI) 2020
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- 2020
12. Multiorgan MRI findings after hospitalisation with COVID-19 in the UK (C-MORE): a prospective, multicentre, observational cohort study
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Raman, Betty, McCracken, Celeste, Cassar, Mark P, Moss, Alastair J, Finnigan, Lucy, Samat, Azlan Helmy A, Ogbole, Godwin, Tunnicliffe, Elizabeth M, Alfaro-Almagro, Fidel, Menke, Ricarda, Xie, Cheng, Gleeson, Fergus, Lukaschuk, Elena, Lamlum, Hanan, McGlynn, Kevin, Popescu, Iulia A, Sanders, Zeena-Britt, Saunders, Laura C, Piechnik, Stefan K, Ferreira, Vanessa M, Nikolaidou, Chrysovalantou, Rahman, Najib M, Ho, Ling-Pei, Harris, Victoria C, Shikotra, Aarti, Singapuri, Amisha, Pfeffer, Paul, Manisty, Charlotte, Kon, Onn M, Beggs, Mark, O'Regan, Declan P, Fuld, Jonathan, Weir-McCall, Jonathan R, Parekh, Dhruv, Steeds, Rick, Poinasamy, Krisnah, Cuthbertson, Dan J, Kemp, Graham J, Semple, Malcolm G, Horsley, Alexander, Miller, Christopher A, O'Brien, Caitlin, Shah, Ajay M, Chiribiri, Amedeo, Leavy, Olivia C, Richardson, Matthew, Elneima, Omer, McAuley, Hamish J C, Sereno, Marco, Saunders, Ruth M, Houchen-Wolloff, Linzy, Greening, Neil J, Bolton, Charlotte E, Brown, Jeremy S, Choudhury, Gourab, Diar Bakerly, Nawar, Easom, Nicholas, Echevarria, Carlos, Marks, Michael, Hurst, John R, Jones, Mark G, Wootton, Daniel G, Chalder, Trudie, Davies, Melanie J, De Soyza, Anthony, Geddes, John R, Greenhalf, William, Howard, Luke S, Jacob, Joseph, Man, William D-C, Openshaw, Peter J M, Porter, Joanna C, Rowland, Matthew J, Scott, Janet T, Singh, Sally J, Thomas, David C, Toshner, Mark, Lewis, Keir E, Heaney, Liam G, Harrison, Ewen M, Kerr, Steven, Docherty, Annemarie B, Lone, Nazir I, Quint, Jennifer, Sheikh, Aziz, Zheng, Bang, Jenkins, R Gisli, Cox, Eleanor, Francis, Susan, Halling-Brown, Mark, Chalmers, James D, Greenwood, John P, Plein, Sven, Hughes, Paul J C, Thompson, A A Roger, Rowland-Jones, Sarah L, Wild, James M, Kelly, Matthew, Treibel, Thomas A, Bandula, Steven, Aul, Raminder, Miller, Karla, Jezzard, Peter, Smith, Stephen, Nichols, Thomas E, McCann, Gerry P, Evans, Rachael A, Wain, Louise V, Brightling, Christopher E, Neubauer, Stefan, Baillie, J K, Shaw, Alison, Hairsine, Brigid, Kurasz, Claire, Henson, Helen, Armstrong, Lisa, Shenton, Liz, Dobson, H, Dell, Amanda, Lucey, Alice, Price, Andrea, Storrie, Andrew, Pennington, Chris, Price, Claire, Mallison, Georgia, Willis, Gemma, Nassa, Heeah, Haworth, Jill, Hoare, Michaela, Hawkings, Nancy, Fairbairn, Sara, Young, Susan, Walker, S, Jarrold, I, Sanderson, Amy, David, C, Chong-James, K, Zongo, O, James, W Y, Martineau, A, King, Bernie, Armour, C, McAulay, D, Major, E, McGinness, Jade, McGarvey, L, Magee, N, Stone, Roisin, Drain, S, Craig, T, Bolger, A, Haggar, Ahmed, Lloyd, Arwel, Subbe, Christian, Menzies, Daniel, Southern, David, McIvor, Emma, Roberts, K, Manley, R, Whitehead, Victoria, Saxon, W, Bularga, A, Mills, N L, El-Taweel, Hosni, Dawson, Joy, Robinson, Leanne, Saralaya, Dinesh, Regan, Karen, Storton, Kim, Brear, Lucy, Amoils, S, Bermperi, Areti, Elmer, Anne, Ribeiro, Carla, Cruz, Isabel, Taylor, Jessica, Worsley, J, Dempsey, K, Watson, L, Jose, Sherly, Marciniak, S, Parkes, M, McQueen, Alison, Oliver, Catherine, Williams, Jenny, Paradowski, Kerry, Broad, Lauren, Knibbs, Lucy, Haynes, Matthew, Sabit, Ramsey, Milligan, L, Sampson, Claire, Hancock, Alyson, Evenden, Cerys, Lynch, Ceri, Hancock, Kia, Roche, Lisa, Rees, Meryl, Stroud, Natalie, Thomas-Woods, T, Heller, S, Robertson, E, Young, B, Wassall, Helen, Babores, M, Holland, Maureen, Keenan, Natalie, Shashaa, Sharlene, Price, Carly, Beranova, Eva, Ramos, Hazel, Weston, Heather, Deery, Joanne, Austin, Liam, Solly, Reanne, Turney, Sharon, Cosier, Tracey, Hazelton, Tracy, Ralser, M, Wilson, Ann, Pearce, Lorraine, Pugmire, S, Stoker, Wendy, McCormick, W, Dewar, A, Arbane, Gill, Kaltsakas, G, Kerslake, Helen, Rossdale, J, Bisnauthsing, Karen, Aguilar Jimenez, Laura A, Martinez, L M, Ostermann, Marlies, Magtoto, Murphy M, Hart, Nicholas, Marino, Philip, Betts, Sarah, Solano, Teresa S, Arias, Ava Maria, Prabhu, A, Reed, Annabel, Wrey Brown, Caroline, Griffin, Denise, Bevan, Emily, Martin, Jane, Owen, J, Alvarez Corral, Maria, Williams, Nick, Payne, Sheila, Storrar, Will, Layton, Alison, Lawson, Cathy, Mills, Clare, Featherstone, James, Stephenson, Lorraine, Burdett, Tracy, Ellis, Y, Richards, A, Wright, C, Sykes, D L, Brindle, K, Drury, Katie, Holdsworth, L, Crooks, M G, Atkin, Paul, Flockton, Rachel, Thackray-Nocera, Susannah, Mohamed, Abdelrahman, Taylor, Abigail, Perkins, Emma, Ross, Gavin, McGuinness, Heather, Tench, Helen, Phipps, Janet, Loosley, Ronda, Wolf-Roberts, Rebecca, Coetzee, S, Omar, Zohra, Ross, Alexandra, Card, Bethany, Carr, Caitlin, King, Clara, Wood, Chloe, Copeland, D, Calvelo, Ellen, Chilvers, Edwin R, Russell, Emily, Gordon, Hussain, Nunag, Jose Lloyd, Schronce, J, March, Katherine, Samuel, Katherine, Burden, L, Evison, Lynsey, McLeavey, Laura, Orriss-Dib, Lorna, Tarusan, Lawrence, Mariveles, Myril, Roy, Maura, Mohamed, Noura, Simpson, Neil, Yasmin, Najira, Cullinan, P, Daly, Patrick, Haq, Sulaimaan, Moriera, Silvia, Fayzan, Tamanah, Munawar, Unber, Nwanguma, Uchechi, Lingford-Hughes, A, Altmann, Danny, Johnston, D, Mitchell, J, Valabhji, J, Price, L, Molyneaux, P L, Thwaites, Ryan S, Walsh, S, Frankel, A, Lightstone, L, Wilkins, M, Willicombe, M, McAdoo, S, Touyz, R, Guerdette, Anne-Marie, Warwick, Katie, Hewitt, Melanie, Reddy, R, White, Sonia, McMahon, A, Hoare, Amy, Knighton, Abigail, Ramos, Albert, Te, Amelie, Jolley, Caroline J, Speranza, Fabio, Assefa-Kebede, Hosanna, Peralta, Ida, Breeze, Jonathon, Shevket, K, Powell, Natassia, Adeyemi, Oluwaseun, Dulawan, Pearl, Adrego, Rita, Byrne, S, Patale, Sheetal, Hayday, A, Malim, M, Pariante, C, Sharpe, C, Whitney, J, Bramham, K, Ismail, K, Wessely, S, Nicholson, T, Ashworth, Andrew, Humphries, Amy, Tan, Ai Lyn, Whittam, Beverley, Coupland, C, Favager, Clair, Peckham, D, Wade, Elaine, Saalmink, Gwen, Clarke, Jude, Glossop, Jodie, Murira, Jennifer, Rangeley, Jade, Woods, Janet, Hall, Lucy, Dalton, Matthhew, Window, Nicola, Beirne, Paul, Hardy, Tim, Coakley, G, Turtle, Lance, Berridge, Anthony, Cross, Andy, Key, Angela L, Rowe, Anna, Allt, Ann Marie, Mears, Chloe, Malein, Flora, Madzamba, Gladys, Hardwick, H E, Earley, Joanne, Hawkes, Jenny, Pratt, James, Wyles, J, Tripp, K A, Hainey, Kera, Allerton, Lisa, Lavelle-Langham, L, Melling, Lucy, Wajero, Lilian O, Poll, L, Noonan, Matthew J, French, N, Lewis-Burke, N, Williams-Howard, S A, Cooper, Shirley, Kaprowska, Sabina, Dobson, S L, Marsh, Sophie, Highett, Victoria, Shaw, V, Beadsworth, M, Defres, S, Watson, Ekaterina, Tiongson, Gerlynn F, Papineni, Padmasayee, Gurram, Sambasivarao, Diwanji, Shalin N, Quaid, Sheena, Briggs, A, Hastie, Claire, Rogers, Natalie, Stensel, D, Bishop, L, McIvor, K, Rivera-Ortega, P, Al-Sheklly, B, Avram, Cristina, Faluyi, David, Blaikely, J, Piper Hanley, K, Radhakrishnan, K, Buch, M, Hanley, N A, Odell, Natasha, Osbourne, Rebecca, Stockdale, Sue, Felton, T, Gorsuch, T, Hussell, T, Kausar, Zunaira, Kabir, T, McAllister-Williams, H, Paddick, S, Burn, D, Ayoub, A, Greenhalgh, Alan, Sayer, A, Young, A, Price, D, Burns, G, MacGowan, G, Fisher, Helen, Tedd, H, Simpson, J, Jiwa, Kasim, Witham, M, Hogarth, Philip, West, Sophie, Wright, S, McMahon, Michael J, Neill, Paula, Dougherty, Andrew, Morrow, A, Anderson, David, Grieve, D, Bayes, Hannah, Fallon, K, Mangion, K, Gilmour, L, Basu, N, Sykes, R, Berry, C, McInnes, I B, Donaldson, A, Sage, E K, Barrett, Fiona, Welsh, B, Bell, Murdina, Quigley, Jackie, Leitch, Karen, Macliver, L, Patel, Manish, Hamil, R, Deans, Andrew, Furniss, J, Clohisey, S, Elliott, Anne, Solstice, A R, Deas, C, Tee, Caroline, Connell, David, Sutherland, Debbie, George, J, Mohammed, S, Bunker, Jenny, Holmes, Katie, Dipper, A, Morley, Anna, Arnold, David, Adamali, H, Welch, H, Morrison, Leigh, Stadon, Louise, Maskell, Nick, Barratt, Shaney, Dunn, Sarah, Waterson, Samuel, Jayaraman, Bhagy, Light, Tessa, Selby, N, Hosseini, A, Shaw, Karen, Almeida, Paula, Needham, Robert, Thomas, Andrew K, Matthews, Laura, Gupta, Ayushman, Nikolaidis, Athanasios, Dupont, Catherine, Bonnington, J, Chrystal, Melanie, Greenhaff, P L, Linford, S, Prosper, Sabrina, Jang, W, Alamoudi, Asma, Bloss, Angela, Megson, Clare, Nicoll, Debby, Fraser, Emily, Pacpaco, Edmund, Conneh, Florence, Ogg, G, McShane, H, Koychev, Ivan, Chen, Jin, Pimm, John, Ainsworth, Mark, Pavlides, M, Sharpe, M, Havinden-Williams, May, Petousi, Nayia, Talbot, Nick, Carter, Penny, Kurupati, Prathiba, Dong, T, Peng, Yanchun, Burns, A, Kanellakis, N, Korszun, A, Connolly, B, Busby, J, Peto, T, Patel, B, Nolan, C M, Cristiano, Daniele, Walsh, J A, Liyanage, Kamal, Gummadi, Mahitha, Dormand, N, Polgar, Oliver, George, P, Barker, R E, Patel, Suhani, Gibbons, M, Matila, Darwin, Jarvis, Hannah, Lim, Lai, Olaosebikan, Olaoluwa, Ahmad, Shanaz, Brill, Simon, Mandal, S, Laing, C, Michael, Alice, Reddy, A, Johnson, C, Baxendale, H, Parfrey, H, Mackie, J, Newman, J, Pack, Jamie, Parmar, J, Paques, K, Garner, Lucie, Harvey, Alice, Summersgill, C, Holgate, D, Hardy, E, Oxton, J, Pendlebury, Jessica, McMorrow, L, Mairs, N, Majeed, N, Dark, P, Ugwuoke, R, Knight, Sean, Whittaker, S, Strong-Sheldrake, Sophia, Matimba-Mupaya, Wadzanai, Chowienczyk, P, Pattenadk, Dibya, Hurditch, E, Chan, Flora, Carborn, H, Foot, H, Bagshaw, J, Hockridge, J, Sidebottom, J, Lee, Ju Hee, Birchall, K, Turner, Kim, Haslam, L, Holt, L, Milner, L, Begum, M, Marshall, M, Steele, N, Tinker, N, Ravencroft, Phillip, Butcher, Robyn, Misra, S, Coburn, Zach, Fairman, Alexandra, Ford, Amber, Holbourn, Ailsa, Howell, Alice, Lawrie, Allan, Lye, Alison, Mbuyisa, Angeline, Zawia, Amira, Holroyd-Hind, B, Thamu, B, Clark, Cameron, Jarman, Claire, Norman, C, Roddis, C, Foote, David, Lee, Elvina, Ilyas, F, Stephens, G, Newell, Helen, Turton, Helena, Macharia, Irene, Wilson, Imogen, Cole, Joby, McNeill, J, Meiring, J, Rodger, J, Watson, James, Chapman, Kerry, Harrington, Kate, Chetham, Luke, Hesselden, L, Nwafor, Lorenza, Dixon, Myles, Plowright, Megan, Wade, Phillip, Gregory, Rebecca, Lenagh, Rebecca, Stimpson, R, Megson, Sharon, Newman, Tom, Cheng, Yutung, Goodwin, Camelia, Heeley, Cheryl, Sissons, D, Sowter, D, Gregory, Heidi, Wynter, Inez, Hutchinson, John, Kirk, Jill, Bennett, Kaytie, Slack, Katie, Allsop, Lynne, Holloway, Leah, Flynn, Margaret, Gill, Mandy, Greatorex, M, Holmes, Megan, Buckley, Phil, Shelton, Sarah, Turner, Sarah, Sewell, Terri Ann, Whitworth, V, Lovegrove, Wayne, Tomlinson, Johanne, Warburton, Louise, Painter, Sharon, Vickers, Carinna, Redwood, Dawn, Tilley, Jo, Palmer, Sue, Wainwright, Tania, Breen, G, Hotopf, M, Dunleavy, A, Teixeira, J, Ali, Mariam, Mencias, Mark, Msimanga, N, Siddique, Sulman, Samakomva, T, Tavoukjian, Vera, Forton, D, Ahmed, R, Cook, Amanda, Thaivalappil, Favas, Connor, Lynda, Rees, Tabitha, McNarry, M, Williams, N, McCormick, Jacqueline, McIntosh, Jerome, Vere, Joanne, Coulding, Martina, Kilroy, Susan, Turner, Victoria, Butt, Al-Tahoor, Savill, Heather, Fraile, Eva, Ugoji, Jacinta, Landers, G, Lota, Harpreet, Portukhay, Sofiya, Nasseri, Mariam, Daniels, Alison, Hormis, Anil, Ingham, Julie, Zeidan, Lisa, Osborne, Lynn, Chablani, Manish, Banerjee, A, David, A, Pakzad, A, Rangelov, B, Williams, B, Denneny, E, Willoughby, J, Xu, M, Mehta, P, Batterham, R, Bell, R, Aslani, S, Lilaonitkul, W, Checkley, A, Bang, Dongchun, Basire, Donna, Lomas, D, Wall, E, Plant, Hannah, Roy, K, Heightman, M, Lipman, M, Merida Morillas, Marta, Ahwireng, Nyarko, Chambers, R C, Jastrub, Roman, Logan, S, Hillman, T, Botkai, A, Casey, A, Neal, A, Newton-Cox, A, Cooper, B, Atkin, C, McGee, C, Welch, C, Wilson, D, Sapey, E, Qureshi, H, Hazeldine, J, Lord, J M, Nyaboko, J, Short, J, Stockley, J, Dasgin, J, Draxlbauer, K, Isaacs, K, Mcgee, K, Yip, K P, Ratcliffe, L, Bates, M, Ventura, M, Ahmad Haider, N, Gautam, N, Baggott, R, Holden, S, Madathil, S, Walder, S, Yasmin, S, Hiwot, T, Jackson, T, Soulsby, T, Kamwa, V, Peterkin, Z, Suleiman, Z, Chaudhuri, N, Wheeler, H, Djukanovic, R, Samuel, R, Sass, T, Wallis, T, Marshall, B, Childs, C, Marouzet, E, Harvey, M, Fletcher, S, Dickens, C, Beckett, P, Nanda, U, Daynes, E, Charalambou, A, Yousuf, A J, Lea, A, Prickett, A, Gooptu, Bibek, Hargadon, Beverley, Bourne, Charlotte, Christie, C, Edwardson, C, Lee, D, Baldry, E, Stringer, E, Woodhead, F, Mills, G, Arnold, H, Aung, H, Qureshi, I N, Finch, J, Skeemer, J, Hadley, K, Khunti, Kamlesh, Carr, Liesel, Ingram, L, Aljaroof, M, Bakali, M, Bakau, M, Baldwin, M, Bourne, Michelle, Pareek, Manish, Soares, M, Tobin, Martin, Armstrong, Natalie, Brunskill, Nigel, Goodman, N, Cairns, P, Haldar, Pranab, McCourt, P, Dowling, R, Russell, Richard, Diver, Sarah, Edwards, Sarah, Glover, Sarah, Parker, S, Siddiqui, Salman, Ward, T J C, Mcnally, T, Thornton, T, Yates, Tom, Ibrahim, W, Monteiro, Will, Thickett, D, Wilkinson, D, Broome, M, McArdle, P, Upthegrove, R, Wraith, D, Langenberg, C, Summers, C, Bullmore, E, Heeney, J L, Schwaeble, W, Sudlow, C L, Adeloye, D, Newby, D E, Rudan, I, Shankar-Hari, M, Thorpe, M, Pius, R, Walmsley, S, McGovern, A, Ballard, C, Allan, L, Dennis, J, Cavanagh, J, Petrie, J, O'Donnell, K, Spears, M, Sattar, N, MacDonald, S, Guthrie, E, Henderson, M, Guillen Guio, Beatriz, Zhao, Bang, Lawson, C, Overton, Charlotte, Taylor, Chris, Tong, C, Mukaetova-Ladinska, Elizabeta, Turner, E, Pearl, John E, Sargant, J, Wormleighton, J, Bingham, Michelle, Sharma, M, Steiner, Mike, Samani, Nilesh, Novotny, Petr, Free, Rob, Allen, R J, Finney, Selina, Terry, Sarah, Brugha, Terry, Plekhanova, Tatiana, McArdle, A, Vinson, B, Spencer, L G, Reynolds, W, Ashworth, M, Deakin, B, Chinoy, H, Abel, K, Harvie, M, Stanel, S, Rostron, A, Coleman, C, Baguley, D, Hufton, E, Khan, F, Hall, I, Stewart, I, Fabbri, L, Wright, L, Kitterick, P, Morriss, R, Johnson, S, Bates, A, Antoniades, C, Clark, D, Bhui, K, Channon, K M, Motohashi, K, Sigfrid, L, Husain, M, Webster, M, Fu, X, Li, X, Kingham, L, Klenerman, P, Miiler, K, Carson, G, Simons, G, Huneke, N, Calder, P C, Baldwin, D, Bain, S, Lasserson, D, Daines, L, Bright, E, Stern, M, Crisp, P, Dharmagunawardena, R, Reddington, A, Wight, A, Bailey, L, Ashish, A, Robinson, E, Cooper, J, Broadley, A, Turnbull, A, Brookes, C, Sarginson, C, Ionita, D, Redfearn, H, Elliott, K, Barman, L, Griffiths, L, Guy, Z, Gill, Rhyan, Nathu, Rashmita, Harris, Edward, Moss, P, Finnigan, J, Saunders, Kathryn, Saunders, Peter, Kon, S, Kon, Samantha S, O'Brien, Linda, Shah, K, Shah, P, Richardson, Emma, Brown, V, Brown, M, Brown, Jo, Brown, J, Brown, Ammani, Brown, Angela, Choudhury, N, Jones, S, Jones, H, Jones, L, Jones, I, Jones, G, Jones, Heather, Jones, Don, Davies, Ffyon, Davies, Ellie, Davies, Kim, Davies, Gareth, Davies, Gwyneth A, Howard, K, Porter, Julie, Rowland, J, Rowland, A, Scott, Kathryn, Singh, Suver, Singh, Claire, Thomas, S, Thomas, Caradog, Lewis, Victoria, Lewis, J, Lewis, D, Harrison, P, Francis, C, Francis, R, Hughes, Rachel Ann, Hughes, Joan, Hughes, A D, Thompson, T, Kelly, S, Smith, D, Smith, Nikki, Smith, Andrew, Smith, Jacqui, Smith, Laurie, Smith, Susan, Evans, Teriann, Evans, Ranuromanana I, Evans, D, Evans, R, Evans, H, and Evans, J
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- 2023
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13. Liver Investigation: Testing Marker Utility in Steatohepatitis (LITMUS): Assessment & validation of imaging modality performance across the NAFLD spectrum in a prospectively recruited cohort study (the LITMUS imaging study): Study protocol
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Pavlides, Michael, Mózes, Ferenc E., Akhtar, Salma, Wonders, Kristy, Cobbold, Jeremy, Tunnicliffe, Elizabeth M., Allison, Michael, Godfrey, Edmund M., Aithal, Guruprasad P., Francis, Susan, Romero-Gomez, Manuel, Castell, Javier, Fernandez-Lizaranzu, Isabel, Aller, Rocio, González, Rebeca Sigüenza, Agustin, Salvador, Pericàs, Juan M., Boursier, Jerome, Aube, Christophe, Ratziu, Vlad, Wagner, Mathilde, Petta, Salvatore, Antonucci, Michela, Bugianesi, Elisabetta, Faletti, Riccardo, Miele, Luca, Geier, Andreas, Schattenberg, Jörn M., Tilman, Emrich, Ekstedt, Mattias, Lundberg, Peter, Berzigotti, Annalisa, Huber, Adrian T., Papatheodoridis, George, Yki-Järvinen, Hannele, Porthan, Kimmo, Schneider, Moritz Jörg, Hockings, Paul, Shumbayawonda, Elizabeth, Banerjee, Rajarshi, Pepin, Kay, Kalutkiewicz, Mike, Ehman, Richard L., Trylesinksi, Aldo, Coxson, Harvey O., Martic, Miljen, Yunis, Carla, Tuthill, Theresa, Bossuyt, Patrick M., Anstee, Quentin M., Neubauer, Stefan, and Harrison, Stephen
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- 2023
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14. Magnetic Resonance Imaging to Evaluate Kidney Structure, Function, and Pathology: Moving Toward Clinical Application
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Francis, Susan T., Selby, Nicholas M., and Taal, Maarten W.
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- 2023
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15. Performance of non-invasive tests and histology for the prediction of clinical outcomes in patients with non-alcoholic fatty liver disease: an individual participant data meta-analysis
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Anstee, Quentin M, Daly, Ann K, Govaere, Olivier, Cockell, Simon, Tiniakos, Dina, Bedossa, Pierre, Burt, Alastair, Oakley, Fiona, Cordell, Heather J, Day, Christopher P, Wonders, Kristy, Missier, Paolo, McTeer, Matthew, Vale, Luke, Oluboyede, Yemi, Breckons, Matt, Bossuyt, Patrick M, Zafarmand, Hadi, Vali, Yasaman, Lee, Jenny, Nieuwdorp, Max, Holleboom, Adriaan G, Verheij, Joanne, Ratziu, Vlad, Clément, Karine, Patino-Navarrete, Rafael, Pais, Raluca, Paradis, Valerie, Schuppan, Detlef, Schattenberg, Jörn M, Surabattula, Rambabu, Myneni, Sudha, Straub, Beate K, Vidal-Puig, Toni, Vacca, Michele, Rodrigues-Cuenca, Sergio, Allison, Mike, Kamzolas, Ioannis, Petsalaki, Evangelia, Campbell, Mark, Lelliott, Chris J, Davies, Susan, Orešič, Matej, Hyötyläinen, Tuulia, McGlinchey, Aiden, Mato, Jose M, Millet, Óscar, Dufour, Jean-François, Berzigotti, Annalisa, Masoodi, Mojgan, Pavlides, Michael, Harrison, Stephen, Neubauer, Stefan, Cobbold, Jeremy, Mozes, Ferenc, Akhtar, Salma, Olodo-Atitebi, Seliat, Banerjee, Rajarshi, Kelly, Matt, Shumbayawonda, Elizabeth, Dennis, Andrea, Andersson, Anneli, Wigley, Ioan, Romero-Gómez, Manuel, Gómez-González, Emilio, Ampuero, Javier, Castell, Javier, Gallego-Durán, Rocío, Fernández, Isabel, Montero-Vallejo, Rocío, Karsdal, Morten, Rasmussen, Daniel Guldager Kring, Leeming, Diana Julie, Sinisi, Antonia, Musa, Kishwar, Sandt, Estelle, Tonini, Manuela, Bugianesi, Elisabetta, Rosso, Chiara, Armandi, Angelo, Marra, Fabio, Gastaldelli, Amalia, Svegliati, Gianluca, Boursier, Jérôme, Francque, Sven, Vonghia, Luisa, Driessen, Ann, Ekstedt, Mattias, Kechagias, Stergios, Yki-Järvinen, Hannele, Porthan, Kimmo, Arola, Johanna, van Mil, Saskia, Papatheodoridis, George, Cortez-Pinto, Helena, Rodrigues, Cecilia M P, Valenti, Luca, Pelusi, Serena, Petta, Salvatore, Pennisi, Grazia, Miele, Luca, Geier, Andreas, Trautwein, Christian, Reißing, Johanna, Aithal, Guruprasad P, Francis, Susan, Palaniyappan, Naaventhan, Bradley, Christopher, Hockings, Paul, Schneider, Moritz, Newsome, Philip, Hübscher, Stefan, Wenn, David, Rosenquist, Christian, Trylesinski, Aldo, Mayo, Rebeca, Alonso, Cristina, Duffin, Kevin, Perfield, James W, Chen, Yu, Yunis, Carla, Tuthill, Theresa, Harrington, Magdalena Alicia, Miller, Melissa, Chen, Yan, McLeod, Euan James, Ross, Trenton, Bernardo, Barbara, Schölch, Corinna, Ertle, Judith, Younes, Ramy, Oldenburger, Anouk, Coxson, Harvey, Ostroff, Rachel, Alexander, Leigh, Biegel, Hannah, Kjær, Mette Skalshøi, Harder, Lea Mørch, Davidsen, Peter, Ellegaard, Jens, Balp, Maria-Magdalena, Brass, Clifford, Jennings, Lori, Martic, Miljen, Löffler, Jürgen, Applegate, Douglas, Shankar, Sudha, Torstenson, Richard, Lindén, Daniel, Fournier-Poizat, Céline, Llorca, Anne, Kalutkiewicz, Michael, Pepin, Kay, Ehman, Richard, Horan, Gerald, Ho, Gideon, Tai, Dean, Chng, Elaine, Patterson, Scott D, Billin, Andrew, Doward, Lynda, Twiss, James, Thakker, Paresh, Derdak, Zoltan, Landgren, Henrik, Lackner, Carolin, Gouw, Annette, Hytiroglou, Prodromos, Mózes, Ferenc E, Lee, Jenny A, Alzoubi, Osama, Staufer, Katharina, Trauner, Michael, Paternostro, Rafael, Stauber, Rudolf E, van Dijk, Anne-Marieke, Mak, Anne Linde, de Saint Loup, Marc, Shima, Toshihide, Gaia, Silvia, Shalimar, Lupșor-Platon, Monica, Wong, Vincent Wai-Sun, Li, Guanlin, Wong, Grace Lai-Hung, Karlas, Thomas, Wiegand, Johannes, Sebastiani, Giada, Tsochatzis, Emmanuel, Liguori, Antonio, Yoneda, Masato, Nakajima, Atsushi, Hagström, Hannes, Akbari, Camilla, Hirooka, Masashi, Chan, Wah-Kheong, Mahadeva, Sanjiv, Rajaram, Ruveena, Zheng, Ming-Hua, George, Jacob, Eslam, Mohammed, Viganò, Mauro, Ridolfo, Sofia, Aithal, Guruprasad Padur, Lee, Dae Ho, Nasr, Patrik, Cassinotto, Christophe, de Lédinghen, Victor, Mendoza, Yuly P, Noureddin, Mazen, Truong, Emily, and Harrison, Stephen A
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- 2023
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16. Abstract 14282: Electrocardiography Rules out Myocardial Abnormalities on Cardiac Magnetic Resonance Imaging in Post-Hospitalized COVID-19 Patients: A Multicenter Observational Study
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Abd Samat, Azlan Helmy, Mahmod, Masliza, Lewandowski, Adam J, Cassar, Mark Philip, Akhtar, Mohammed, Moss, Alastair, Manisty, Charlotte, Treibel, Thomas, Ashkir, Zakariye, McCracken, Celeste, Lukaschuk, Elena, Piechnik, Stefan, Ferreira, Vanessa, Xie, Cheng, Cuthbertson, Dan, Kemp, Graham, Nikolaidou, Chrysovalantou, Miller, Christopher, Chiribiri, Amedeo, OʼRegan, Declan, Francis, Susan, Steeds, Richard P, Weir-McCall, Jonathan, Wild, Jim M, Plein, Sven, McCann, Gerry, Evans, Rachael, brightling, chris, Neubauer, Stefan, and Raman, Betty
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- 2023
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17. Magnetic Resonance Quantification of Muscle Phosphocreatine Resynthesis Kinetics During Exercise Recovery: An In Vivo Measure of Mitochondrial Function in Humans
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McGing, Jordan J., primary, Francis, Susan T., additional, Serres, Sébastien, additional, Moran, Gordon W., additional, and Greenhaff, Paul L., additional
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- 2023
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18. Consensus-based technical recommendations for clinical translation of renal BOLD MRI.
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Bane, Octavia, Mendichovszky, Iosif, Milani, Bastien, Dekkers, Ilona, Deux, Jean-Francois, Eckerbom, Per, Grenier, Nicolas, Hall, Michael, Inoue, Tsutomu, Laustsen, Christoffer, Lerman, Lilach, Morrell, Glen, Pedersen, Michael, Pruijm, Menno, Sadowski, Elizabeth, Seeliger, Erdmann, Sharma, Kanishka, Thoeny, Harriet, Vermathen, Peter, Serafin, Zbigniew, Zhang, Jeff, Francis, Susan, Sourbron, Steven, Pohlmann, Andreas, Fain, Sean, Prasad, Pottumarthi, Wang, Zhen, and Liu, Chunlei
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BOLD MRI ,Biomarkers ,Consensus ,Imaging ,Kidney ,Standardization ,Animals ,Biomarkers ,Consensus ,Delphi Technique ,Humans ,Kidney ,Magnetic Resonance Imaging ,Reproducibility of Results ,Signal-To-Noise Ratio ,Surveys and Questionnaires ,Translational Research ,Biomedical - Abstract
Harmonization of acquisition and analysis protocols is an important step in the validation of BOLD MRI as a renal biomarker. This harmonization initiative provides technical recommendations based on a consensus report with the aim to move towards standardized protocols that facilitate clinical translation and comparison of data across sites. We used a recently published systematic review paper, which included a detailed summary of renal BOLD MRI technical parameters and areas of investigation in its supplementary material, as the starting point in developing the survey questionnaires for seeking consensus. Survey data were collected via the Delphi consensus process from 24 researchers on renal BOLD MRI exam preparation, data acquisition, data analysis, and interpretation. Consensus was defined as ≥ 75% unanimity in response. Among 31 survey questions, 14 achieved consensus resolution, 12 showed clear respondent preference (65-74% agreement), and 5 showed equal (50/50%) split in opinion among respondents. Recommendations for subject preparation, data acquisition, processing and reporting are given based on the survey results and review of the literature. These technical recommendations are aimed towards increased inter-site harmonization, a first step towards standardization of renal BOLD MRI protocols across sites. We expect this to be an iterative process updated dynamically based on progress in the field.
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- 2020
19. Consensus-based technical recommendations for clinical translation of renal diffusion-weighted MRI
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Ljimani, Alexandra, Caroli, Anna, Laustsen, Christoffer, Francis, Susan, Mendichovszky, Iosif Alexandru, Bane, Octavia, Nery, Fabio, Sharma, Kanishka, Pohlmann, Andreas, Dekkers, Ilona A, Vallee, Jean-Paul, Derlin, Katja, Notohamiprodjo, Mike, Lim, Ruth P, Palmucci, Stefano, Serai, Suraj D, Periquito, Joao, Wang, Zhen Jane, Froeling, Martijn, Thoeny, Harriet C, Prasad, Pottumarthi, Schneider, Moritz, Niendorf, Thoralf, Pullens, Pim, Sourbron, Steven, and Sigmund, Eric E
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Biomedical and Clinical Sciences ,Clinical Sciences ,Kidney Disease ,Biomedical Imaging ,Bioengineering ,Clinical Research ,Algorithms ,Biomarkers ,Consensus ,Delphi Technique ,Diffusion Magnetic Resonance Imaging ,Humans ,Image Interpretation ,Computer-Assisted ,Kidney ,Models ,Statistical ,Motion ,Reproducibility of Results ,Surveys and Questionnaires ,Translational Research ,Biomedical ,Biomarker ,DWI ,ADC ,IVIM ,DTI ,Nuclear Medicine & Medical Imaging - Abstract
ObjectivesStandardization is an important milestone in the validation of DWI-based parameters as imaging biomarkers for renal disease. Here, we propose technical recommendations on three variants of renal DWI, monoexponential DWI, IVIM and DTI, as well as associated MRI biomarkers (ADC, D, D*, f, FA and MD) to aid ongoing international efforts on methodological harmonization.Materials and methodsReported DWI biomarkers from 194 prior renal DWI studies were extracted and Pearson correlations between diffusion biomarkers and protocol parameters were computed. Based on the literature review, surveys were designed for the consensus building. Survey data were collected via Delphi consensus process on renal DWI preparation, acquisition, analysis, and reporting. Consensus was defined as ≥ 75% agreement.ResultsCorrelations were observed between reported diffusion biomarkers and protocol parameters. Out of 87 survey questions, 57 achieved consensus resolution, while many of the remaining questions were resolved by preference (65-74% agreement). Summary of the literature and survey data as well as recommendations for the preparation, acquisition, processing and reporting of renal DWI were provided.DiscussionThe consensus-based technical recommendations for renal DWI aim to facilitate inter-site harmonization and increase clinical impact of the technique on a larger scale by setting a framework for acquisition protocols for future renal DWI studies. We anticipate an iterative process with continuous updating of the recommendations according to progress in the field.
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- 2020
20. Correction to: Consensus-based technical recommendations for clinical translation of renal diffusion-weighted MRI
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Ljimani, Alexandra, Caroli, Anna, Laustsen, Christoffer, Francis, Susan, Mendichovszky, Iosif Alexandru, Bane, Octavia, Nery, Fabio, Sharma, Kanishka, Pohlmann, Andreas, Dekkers, Ilona A, Vallee, Jean-Paul, Derlin, Katja, Notohamiprodjo, Mike, Lim, Ruth P, Palmucci, Stefano, Serai, Suraj D, Periquito, Joao, Wang, Zhen Jane, Froeling, Martijn, Thoeny, Harriet C, Prasad, Pottumarthi, Schneider, Moritz, Niendorf, Thoralf, Pullens, Pim, Sourbron, Steven, and Sigmund, Eric E
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Biomedical and Clinical Sciences ,Clinical Sciences ,Nuclear Medicine & Medical Imaging - Abstract
The article Consensus-based technical recommendations for clinical translation of renal diffusion-weighted MRI.
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- 2020
21. Thigh and Calf Muscles Segmentation Using Ensemble of Patch-Based Deep Convolutional Neural Network on Whole-Body Water-Fat MRI
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Gong, Zhendi, Nicholas, Rosemary, Francis, Susan T., Chen, Xin, Goos, Gerhard, Founding Editor, Hartmanis, Juris, Founding Editor, Bertino, Elisa, Editorial Board Member, Gao, Wen, Editorial Board Member, Steffen, Bernhard, Editorial Board Member, Yung, Moti, Editorial Board Member, Yang, Guang, editor, Aviles-Rivero, Angelica, editor, Roberts, Michael, editor, and Schönlieb, Carola-Bibiane, editor
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- 2022
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22. Fast and High‐Resolution T2 Mapping Based on Echo Merging Plus k‐t Undersampling with Reduced Refocusing Flip Angles (TEMPURA) as Methods for Human Renal MRI
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Li, Hao, primary, Priest, Andrew N., additional, Horvat‐Menih, Ines, additional, Huang, Yuan, additional, Li, Shaohang, additional, Stewart, Grant D., additional, Mendichovszky, Iosif A., additional, Francis, Susan T., additional, and Gallagher, Ferdia A., additional
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- 2024
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23. #3063 MRI assessment of skin and muscle sodium (23Na) and fluid volume in haemodialysis patients
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Prestwich, Ben, primary, Noble, Rebecca, additional, White, Kelly, additional, Taal, Maarten, additional, Selby, Nicholas, additional, and Francis, Susan, additional
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- 2024
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24. #2974 Serial multiparametric magnetic resonance imaging in a prospective cohort of patients with acute kidney injury
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Noble, Rebecca, primary, Cox, Eleanor F, additional, Taal, Maarten W, additional, Selby, Nicholas, additional, and Francis, Susan, additional
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- 2024
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25. Variability of noninvasive MRI and biological markers in compensated cirrhosis: insights for assessing disease progression
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Bradley, Christopher R., Cox, Eleanor F., Palaniyappan, Naaventhan, Aithal, Guruprasad P., Francis, Susan T., and Guha, Indra Neil
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- 2022
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26. Decreased renal perfusion during acute kidney injury in critical COVID-19 assessed by magnetic resonance imaging: a prospective case control study
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Luther, Tomas, Eckerbom, Per, Cox, Eleanor, Lipcsey, Miklos, Bülow, Sara, Hultström, Michael, Torrente, Francisco Martinez, Weis, Jan, Palm, Fredrik, Francis, Susan, Frithiof, Robert, and Liss, Per
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- 2022
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27. Fast and High‐Resolution T2 Mapping Based on Echo Merging Plus k‐t Undersampling with Reduced Refocusing Flip Angles (TEMPURA) as Methods for Human Renal MRI.
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Li, Hao, Priest, Andrew N., Horvat‐Menih, Ines, Huang, Yuan, Li, Shaohang, Stewart, Grant D., Mendichovszky, Iosif A., Francis, Susan T., and Gallagher, Ferdia A.
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MAGNETIC resonance imaging ,COMPRESSED sensing ,GRAPH algorithms ,SPATIAL resolution ,ANGLES - Abstract
Purpose: To develop a highly accelerated multi‐echo spin‐echo method, TEMPURA, for reducing the acquisition time and/or increasing spatial resolution for kidney T2 mapping. Methods: TEMPURA merges several adjacent echoes into one k‐space by either combining independent echoes or sharing one echo between k‐spaces. The combined k‐space is reconstructed based on compressed sensing theory. Reduced flip angles are used for the refocusing pulses, and the extended phase graph algorithm is used to correct the effects of indirect echoes. Two sequences were developed: a fast breath‐hold sequence; and a high‐resolution sequence. The performance was evaluated prospectively on a phantom, 16 healthy subjects, and two patients with different types of renal tumors. Results: The fast TEMPURA method reduced the acquisition time from 3–5 min to one breath‐hold (18 s). Phantom measurements showed that fast TEMPURA had a mean absolute percentage error (MAPE) of 8.2%, which was comparable to a standardized respiratory‐triggered sequence (7.4%), but much lower than a sequence accelerated by purely k‐t undersampling (21.8%). High‐resolution TEMPURA reduced the in‐plane voxel size from 3 × 3 to 1 × 1 mm2, resulting in improved visualization of the detailed anatomical structure. In vivo T2 measurements demonstrated good agreement (fast: MAPE = 1.3%–2.5%; high‐resolution: MAPE = 2.8%–3.3%) and high correlation coefficients (fast: R = 0.85–0.98; high‐resolution: 0.82–0.96) with the standardized method, outperforming k‐t undersampling alone (MAPE = 3.3–4.5%, R = 0.57–0.59). Conclusion: TEMPURA provides fast and high‐resolution renal T2 measurements. It has the potential to improve clinical throughput and delineate intratumoral heterogeneity and tissue habitats at unprecedented spatial resolution. [ABSTRACT FROM AUTHOR]
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- 2024
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28. DYNamic Assessment of Multi‐Organ level dysfunction in patients recovering from COVID‐19: DYNAMO COVID‐19.
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Gupta, Ayushman, Nicholas, Rosemary, McGing, Jordan J., Nixon, Aline V., Mallinson, Joanne E., McKeever, Tricia M., Bradley, Christopher R., Piasecki, Mathew, Cox, Eleanor F., Bonnington, James, Lord, Janet M., Brightling, Christopher E., Evans, Rachael A., Hall, Ian P., Francis, Susan T., Greenhaff, Paul L., and Bolton, Charlotte E.
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NUCLEAR magnetic resonance spectroscopy ,MAGNETIC resonance imaging ,MOTOR unit ,LEG muscles ,INSULIN resistance - Abstract
We evaluated the impacts of COVID‐19 on multi‐organ and metabolic function in patients following severe hospitalised infection compared to controls. Patients (n = 21) without previous diabetes, cardiovascular or cerebrovascular disease were recruited 5–7 months post‐discharge alongside controls (n = 10) with similar age, sex and body mass. Perceived fatigue was estimated (Fatigue Severity Scale) and the following were conducted: oral glucose tolerance (OGTT) alongside whole‐body fuel oxidation, validated magnetic resonance imaging and spectroscopy during resting and supine controlled exercise, dual‐energy X‐ray absorptiometry, short physical performance battery (SPPB), intra‐muscular electromyography, quadriceps strength and fatigability, and daily step‐count. There was a greater insulin response (incremental area under the curve, median (inter‐quartile range)) during the OGTT in patients [18,289 (12,497–27,448) mIU/min/L] versus controls [8655 (7948–11,040) mIU/min/L], P < 0.001. Blood glucose response and fasting and post‐prandial fuel oxidation rates were not different. This greater insulin resistance was not explained by differences in systemic inflammation or whole‐body/regional adiposity, but step‐count (P = 0.07) and SPPB scores (P = 0.004) were lower in patients. Liver volume was 28% greater in patients than controls, and fat fraction adjusted liver T1, a measure of inflammation, was raised in patients. Patients displayed greater perceived fatigue scores, though leg muscle volume, strength, force‐loss, motor unit properties and post‐exercise muscle phosphocreatine resynthesis were comparable. Further, cardiac and cerebral architecture and function (at rest and on exercise) were not different. In this cross‐sectional study, individuals without known previous morbidity who survived severe COVID‐19 exhibited greater insulin resistance, pointing to a need for physical function intervention in recovery. What is the central question of the study?What are the post‐COVID‐19 symptoms and associated metabolic and physiological sequelae in patients who contracted acute severe infection compared to healthy control volunteers?What is the main finding and its importance?Patients 5–7 months after hospital discharge for acute severe COVID‐19 compared to healthy control volunteers had (i) an increased insulin response to an oral glucose challenge, without demonstrating different whole‐body fuel oxidation rates, and (ii) greater perception of fatigue and worse functional mobility, though no abnormalities in muscle, heart or brain structure and function were identified. This provides novel targets for rehabilitation strategies in individuals recovering after severe COVID‐19. [ABSTRACT FROM AUTHOR]
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- 2024
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29. Somatomotor cortical mapping in Tourette syndrome using neuro-navigated transcranial magnetic stimulation
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Smith, Caitlin M., primary, Sigurdsson, Hilmar P., additional, Dyke, Katherine, additional, Sanchez Panchuelo, Rosa, additional, Francis, Susan T., additional, Jackson, Georgina M., additional, and Jackson, Stephen R., additional
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- 2022
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30. Thigh and Calf Muscles Segmentation Using Ensemble of Patch-Based Deep Convolutional Neural Network on Whole-Body Water-Fat MRI
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Gong, Zhendi, primary, Nicholas, Rosemary, additional, Francis, Susan T., additional, and Chen, Xin, additional
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- 2022
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31. Improvements in Between‐Vendor MRI Harmonization of Renal T2 Mapping using Stimulated Echo Compensation
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Li, Hao, primary, Daniel, Alexander J., additional, Buchanan, Charlotte E., additional, Nery, Fábio, additional, Morris, David M., additional, Li, Shaohang, additional, Huang, Yuan, additional, Sousa, João A., additional, Sourbron, Steven, additional, Mendichovszky, Iosif A., additional, Thomas, David L., additional, Priest, Andrew N., additional, and Francis, Susan T., additional
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- 2024
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32. Assessment of Acute Kidney Injury using MRI
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Selby, Nicholas M., primary and Francis, Susan T., additional
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- 2024
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33. Quantitative T1 mapping using multi-slice multi-shot inversion recovery EPI
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Sanchez Panchuelo, Rosa M., Mougin, Olivier, Turner, Robert, and Francis, Susan T.
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- 2021
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34. Muscle and tendon adaptations to moderate load eccentric vs. concentric resistance exercise in young and older males
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Quinlan, Jonathan Iain, Franchi, Martino Vladimiro, Gharahdaghi, Nima, Badiali, Francesca, Francis, Susan, Hale, Andrew, Phillips, Bethan Eileen, Szewczyk, Nathaniel, Greenhaff, Paul Leonard, Smith, Kenneth, Maganaris, Constantinos, Atherton, Phillip James, and Narici, Marco Vincenzo
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- 2021
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35. Cognitive and psychiatric symptom trajectories 2–3 years after hospital admission for COVID-19: a longitudinal, prospective cohort study in the UK
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Taquet, Maxime, Skorniewska, Zuzanna, De Deyn, Thomas, Hampshire, Adam, Trender, William R, Hellyer, Peter J, Chalmers, James D, Ho, Ling-Pei, Horsley, Alex, Marks, Michael, Poinasamy, Krisnah, Raman, Betty, Leavy, Olivia C, Richardson, Matthew, Elneima, Omer, McAuley, Hamish J C, Shikotra, Aarti, Singapuri, Amisha, Sereno, Marco, Saunders, Ruth M, Harris, Victoria C, Rogers, Natalie, Houchen-Wolloff, Linzy, Greening, Neil J, Mansoori, Parisa, Harrison, Ewen M, Docherty, Annemarie B, Lone, Nazir I, Quint, Jennifer, Brightling, Christopher E, Wain, Louise V, Evans, Rachael A, Geddes, John R, Harrison, Paul J, Lone, Nazir, Baillie, Kenneth, Pairo-Castineira, Erola, Avramidis, Nikos, Wain, Louise, Guillen-Guio, Beatriz, Leavy, Olivia, Jones, S, Armstrong, Lisa, Hairsine, Brigid, Henson, Helen, Kurasz, Claire, Shaw, Alison, Shenton, Liz, Dobson, Hannah, Dell, Amanda, Fairbairn, Sara, Hawkings, Nancy, Haworth, Jill, Hoare, Michaela, Lewis, Victoria, Lucey, Alice, Mallison, Georgia, Nassa, Heeah, Pennington, Chris, Price, Andrea, Price, Claire, Storrie, Andrew, Willis, Gemma, Young, Susan, Poinasamy, Krisnah, Walker, Samantha, Jarrold, Ian, Rawlik, Konrad, Sanderson, Amy, Chong-James, K, David, C, James, W Y, Pfeffer, Paul, Zongo, O, Martineau, Adrian, Manisty, C, Armour, Cherie, Brown, Vanessa, Busby, John, Connolly, Bronwen, Craig, Thelma, Drain, Stephen, Heaney, Liam, King, Bernie, Magee, Nick, Major, E, McAulay, Danny, McGarvey, Lorcan, McGinness, Jade, Peto, Tunde, Stone, Roisin, Bolger, Annette, Davies, Ffyon, Haggar, Ahmed, Lewis, Joanne, Lloyd, Arwel, Manley, R, McIvor, Emma, Menzies, Daniel, Roberts, K, Saxon, W, Southern, David, Subbe, Christian, Whitehead, Victoria, Bularga, Anda, Mills, Nicholas, Dawson, Joy, El-Taweel, Hosni, Robinson, Leanne, Brear, Lucy, Regan, Karen, Saralaya, Dinesh, Storton, Kim, Amoils, Shannon, Bermperi, Areti, Cruz, Isabel, Dempsey, K, Elmer, Anne, Fuld, Jonathon, Jones, H, Jose, Sherly, Marciniak, Stefan, Parkes, M, Ribeiro, Carla, Taylor, Jessica, Toshner, Mark, Watson, L, Worsley, J, Broad, Lauren, Evans, Teriann, Haynes, Matthew, Jones, L, Knibbs, Lucy, McQueen, Alison, Oliver, Catherine, Paradowski, Kerry, Sabit, Ramsey, Williams, Jenny, Jones, Ian, Milligan, Lea, Harris, Edward, Sampson, Claire, Davies, Ellie, Evenden, Cerys, Hancock, Alyson, Hancock, Kia, Lynch, Ceri, Rees, Meryl, Roche, Lisa, Stroud, Natalie, Thomas-Woods, T, Heller, Simon, Chalder, Trudie, Shah, Kamini, Robertson, Elizabeth, Young, Bob, Babores, Marta, Holland, Maureen, Keenan, Natalie, Shashaa, Sharlene, Wassall, Helen, Austin, Liam, Beranova, Eva, Cosier, Tracey, Deery, Joanne, Hazelton, Tracy, Price, Carly, Ramos, Hazel, Solly, Reanne, Turney, Sharon, Weston, Heather, Coughlan, Eamon, Ralser, Markus, Pearce, Lorraine, Pugmire, S, Stoker, Wendy, Wilson, Ann, McCormick, W, Fraile, Eva, Ugoji, Jacinta, Aguilar Jimenez, Laura, Arbane, Gill, Betts, Sarah, Bisnauthsing, Karen, Dewar, A, Hart, Nicholas, Kaltsakas, G, Kerslake, Helen, Magtoto, Murphy, Marino, Philip, Martinez, L M, Ostermann, Marlies, Rossdale, Jennifer, Solano, Teresa, Alvarez Corral, Maria, Arias, Ava Maria, Bevan, Emily, Griffin, Denise, Martin, Jane, Owen, J, Payne, Sheila, Prabhu, A, Reed, Annabel, Storrar, Will, Williams, Nick, Wrey Brown, Caroline, Burdett, Tracy, Featherstone, James, Lawson, Cathy, Layton, Alison, Mills, Clare, Stephenson, Lorraine, Ellis, Yvette, Atkin, Paul, Brindle, K, Crooks, Michael, Drury, Katie, Easom, Nicholas, Flockton, Rachel, Holdsworth, L, Richards, A, Sykes, D L, Thackray-Nocera, Susannah, Wright, C, Coetzee, S, Davies, Kim, Hughes, Rachel Ann, Loosley, Ronda, McGuinness, Heather, Mohamed, Abdelrahman, O'Brien, Linda, Omar, Zohra, Perkins, Emma, Phipps, Janet, Ross, Gavin, Taylor, Abigail, Tench, Helen, Wolf-Roberts, Rebecca, Burden, L, Calvelo, Ellen, Card, Bethany, Carr, Caitlin, Chilvers, Edwin, Copeland, Donna, Cullinan, P, Daly, Patrick, Evison, Lynsey, Fayzan, Tamanah, Gordon, Hussain, Haq, Sulaimaan, Jenkins, Gisli, King, Clara, Kon, Onn Min, March, Katherine, Mariveles, Myril, McLeavey, Laura, Mohamed, Noura, Moriera, Silvia, Munawar, Unber, Nunag, Jose Lloyd, Nwanguma, Uchechi, Orriss-Dib, Lorna, Ross, Alexandra, Roy, Maura, Russell, Emily, Samuel, Katherine, Schronce, J, Simpson, Neil, Tarusan, Lawrence, Thomas, David, Wood, Chloe, Yasmin, Najira, Altmann, Danny, Howard, Luke, Johnston, Desmond, Lingford-Hughes, Anne, Man, William, Mitchell, Jane, Molyneaux, Philip, Nicolaou, Christos, O'Regan, D P, Price, L, Quint, Jenni, Smith, David, Thwaites, Ryan, Valabhji, Jonathon, Walsh, Simon, Efstathiou, Claudia, Liew, Felicity, Frankel, Anew, Lightstone, Liz, McAdoo, Steve, Wilkins, Martin, Willicombe, Michelle, Touyz, R, Guerdette, Anne-Marie, Hewitt, Melanie, Reddy, R, Warwick, Katie, White, Sonia, McMahon, Aisling, Adeyemi, Oluwaseun, Adrego, Rita, Assefa-Kebede, Hosanna, Breeze, Jonathon, Byrne, S, Dulawan, Pearl, Hoare, Amy, Jolley, Caroline, Knighton, Abigail, Patale, Sheetal, Peralta, Ida, Powell, Natassia, Ramos, Albert, Shevket, K, Speranza, Fabio, Te, Amelie, Malim, M, Bramham, Kate, Brown, M, Ismail, Khalida, Nicholson, Tim, Pariante, Carmen, Sharpe, Claire, Wessely, Simon, Whitney, J, Shah, Ajay, Chiribiri, A, O'Brien, C, Hayday, A, Ashworth, Andrew, Beirne, Paul, Clarke, Jude, Coupland, C, Dalton, Matthhew, Favager, Clair, Glossop, Jodie, Greenwood, John, Hall, Lucy, Hardy, Tim, Humphries, Amy, Murira, Jennifer, Peckham, Dan, Plein, S, Rangeley, Jade, Saalmink, Gwen, Tan, Ai Lyn, Wade, Elaine, Whittam, Beverley, Window, Nicola, Woods, Janet, Coakley, G, Turtle, Lance, Allerton, Lisa, Allt, Ann Marie, Beadsworth, M, Berridge, Anthony, Brown, Jo, Cooper, Shirley, Cross, Andy, Defres, Sylviane, Dobson, S L, Earley, Joanne, French, N, Greenhalf, William, Hainey, Kera, Hardwick, Hayley, Hawkes, Jenny, Highett, Victoria, Kaprowska, Sabina, Key, Angela, Lavelle-Langham, Lara, Lewis-Burke, N, Madzamba, Gladys, Malein, Flora, Marsh, Sophie, Mears, Chloe, Melling, Lucy, Noonan, Matthew, Poll, L, Pratt, James, Richardson, Emma, Rowe, Anna, Semple, Calum, Shaw, Victoria, Tripp, K A, Wajero, Lilian, Williams-Howard, S A, Wootton, Dan, Wyles, J, Diwanji, Shalin, Gurram, Sambasivarao, Papineni, Padmasayee, Quaid, Sheena, Tiongson, Gerlynn, Watson, Ekaterina, Briggs, Andrew, Marks, Michael, Hastie, Claire, Rogers, Natalie, Smith, Nikki, Stensel, David, Bishop, Lettie, McIvor, Katherine, Rivera-Ortega, Pilar, Al-Sheklly, Bashar, Avram, Cristina, Blaikely, John, Buch, M, Choudhury, N, Faluyi, David, Felton, T, Gorsuch, T, Hanley, Neil, Horsley, Alex, Hussell, Tracy, Kausar, Zunaira, Odell, Natasha, Osbourne, Rebecca, Piper Hanley, Karen, Radhakrishnan, K, Stockdale, Sue, Kabir, Thomas, Scott, Janet, Stewart, Iain, Openshaw, Peter, Burn, David, Ayoub, A, Brown, J, Burns, G, Davies, Gareth, De Soyza, Anthony, Echevarria, Carlos, Fisher, Helen, Francis, C, Greenhalgh, Alan, Hogarth, Philip, Hughes, Joan, Jiwa, Kasim, Jones, G, MacGowan, G, Price, D, Sayer, Avan, Simpson, John, Tedd, H, Thomas, S, West, Sophie, Witham, M, Wright, S, Young, A, McMahon, Michael, Neill, Paula, Anderson, David, Basu, Neil, Bayes, Hannah, Brown, Ammani, Dougherty, Andrew, Fallon, K, Gilmour, L, Grieve, D, Mangion, K, Morrow, A, Sykes, R, Berry, Colin, McInnes, I B, Scott, Kathryn, Barrett, Fiona, Donaldson, A, Sage, Beth, Bell, Murdina, Brown, Angela, Brown, M, Hamil, R, Leitch, Karen, Macliver, L, Patel, Manish, Quigley, Jackie, Smith, Andrew, Welsh, B, Choudhury, Gaunab, Clohisey, S, Deans, Andrew, Docherty, Annemarie, Furniss, J, Harrison, Ewen, Kelly, S, Sheikh, Aziz, Chalmers, James, Connell, David, Deas, C, Elliott, Anne, George, J, Mohammed, S, Rowland, J, Solstice, AR, Sutherland, Debbie, Tee, Caroline, Bunker, Jenny, Gill, Rhyan, Nathu, Rashmita, Holmes, Katie, Adamali, H, Arnold, David, Barratt, Shaney, Dipper, A, Dunn, Sarah, Maskell, Nick, Morley, Anna, Morrison, Leigh, Stadon, Louise, Waterson, Samuel, Welch, H, Jayaraman, Bhagy, Light, Tessa, Vogiatzis, Ioannis, Almeida, Paula, Bolton, Charlotte, Hosseini, Akram, Matthews, Laura, Needham, Robert, Shaw, Karen, Thomas, Andrew, Bonnington, J, Chrystal, Melanie, Dupont, Catherine, Greenhaff, Paul, Gupta, Ayushman, Jang, W, Linford, S, Nikolaidis, Athanasios, Prosper, Sabrina, Burns, A, Kanellakis, N, Ferreira, V, Nikolaidou, C, Xie, C, Ainsworth, Mark, Alamoudi, Asma, Bloss, Angela, Carter, Penny, Cassar, M, Chen, Jin, Conneh, Florence, Dong, T, Evans, Ranuromanana, Fraser, Emily, Geddes, John, Gleeson, F, Harrison, Paul, Havinden-Williams, May, Ho, Ling Pei, Jezzard, P, Koychev, Ivan, Kurupati, Prathiba, McShane, H, Megson, Clare, Neubauer, Stefan, Nicoll, Debby, Ogg, G, Pacpaco, Edmund, Pavlides, M, Peng, Yanchun, Petousi, Nayia, Pimm, John, Rahman, Najib, Raman, Betty, Rowland, M J, Saunders, Kathryn, Sharpe, Michael, Talbot, Nick, Tunnicliffe, E M, Korszun, Ania, Kerr, Steven, Barker, R E, Cristiano, Daniele, Dormand, N, George, P, Gummadi, Mahitha, Kon, S, Liyanage, Kamal, Nolan, C M, Patel, B, Patel, Suhani, Polgar, Oliver, Price, L, Shah, P, Singh, Suver, Walsh, J A, Gibbons, Michael, Ahmad, Shanaz, Brill, Simon, Hurst, John, Jarvis, Hannah, Lim, Lai, Mandal, S, Matila, Darwin, Olaosebikan, Olaoluwa, Singh, Claire, Laing, C, Baxendale, Helen, Garner, Lucie, Johnson, C, Mackie, J, Michael, Alice, Newman, J, Pack, Jamie, Paques, K, Parfrey, H, Parmar, J, Reddy, A, Halling-Brown, Mark, Dark, P, Diar-Bakerly, Nawar, Evans, D, Hardy, E, Harvey, Alice, Holgate, D, Knight, Sean, Mairs, N, Majeed, N, McMorrow, L, Oxton, J, Pendlebury, Jessica, Summersgill, C, Ugwuoke, R, Whittaker, S, Matimba-Mupaya, Wadzanai, Strong-Sheldrake, Sophia, Chowienczyk, Phillip, Bagshaw, J, Begum, M, Birchall, K, Butcher, Robyn, Carborn, H, Chan, Flora, Chapman, Kerry, Cheng, Yutung, Chetham, Luke, Clark, Cameron, Coburn, Zach, Cole, Joby, Dixon, Myles, Fairman, Alexandra, Finnigan, J, Foot, H, Foote, David, Ford, Amber, Gregory, Rebecca, Harrington, Kate, Haslam, L, Hesselden, L, 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Ian, Hufton, E, Johnson, Simon, Khan, Fasih, Kitterick, Paaig, Morriss, Richard, Selby, Nick, Wright, Louise, Antoniades, Charalambos, Bates, A, Beggs, M, Bhui, Kamaldeep, Breeze, Katie, Channon, K M, Clark, David, Fu, X, Husain, Masud, Li, X, Lukaschuk, E, McCracken, Celeste, McGlynn, K, Menke, R, Motohashi, K, Nichols, T E, Ogbole, Godwin, Piechnik, S, Propescu, I, Propescu, J, Samat, A A, Sanders, Z B, Sigfrid, Louise, Webster, M, Kingham, Lucy, Klenerman, Paul, Lamlum, Hanan, Taquet, Maxime, Carson, G, Finnigan, L, Saunders, Laura, Wild, James, Calder, P C, Huneke, Nathan, Simons, Gemma, Baldwin, David, Bain, Steve, Daines, Luke, Bright, E, Crisp, P, Dharmagunawardena, Ruvini, Stern, M, Bailey, Elisabeth, Reddington, Anne, Wight, Andrew, Ashish, A, Cooper, Josh, Robinson, Emma, Broadley, Andrew, Barman, Laura, Brookes, Claire, Elliott, K, Griffiths, L, Guy, Zoe, Howard, Kate, Ionita, Diana, Redfearn, Heidi, Sarginson, Carol, and Turnbull, Alison
- Abstract
COVID-19 is known to be associated with increased risks of cognitive and psychiatric outcomes after the acute phase of disease. We aimed to assess whether these symptoms can emerge or persist more than 1 year after hospitalisation for COVID-19, to identify which early aspects of COVID-19 illness predict longer-term symptoms, and to establish how these symptoms relate to occupational functioning.
- Published
- 2024
- Full Text
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36. Mixed Effect Modelling of Single Trial Variability in Ultra-High Field fMRI
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Brignell, Christopher J., Browne, William J., Dryden, Ian L., and Francis, Susan T.
- Subjects
Statistics - Applications - Abstract
Neuronal brain activity in response to repeated stimuli can be perceived using functional magnetic resonance imaging (fMRI). In this paper, we develop a statistical model for fMRI data that estimates both the associated haemodynamic response function and the within and between trial variability through maximum likelihood estimation. We discuss our results in the context of other model-driven approaches, extending models already popular in the literature, while removing the need for some of their assumptions. We consider an application to the motor cortex activity caused by a subject pressing a button and observe that the response changes significantly with task and through time.
- Published
- 2015
37. Multi-centre, multi-vendor reproducibility of 7T QSM and R2* in the human brain: Results from the UK7T study
- Author
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Rua, Catarina, Clarke, William T., Driver, Ian D., Mougin, Olivier, Morgan, Andrew T., Clare, Stuart, Francis, Susan, Muir, Keith W., Wise, Richard G., Carpenter, T. Adrian, Williams, Guy B., Rowe, James B., Bowtell, Richard, and Rodgers, Christopher T.
- Published
- 2020
- Full Text
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38. A nociresponsive specific area of human somatosensory cortex within BA3a: BA3c?
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Panchuelo, Rosa M. Sanchez, Eldeghaidy, Sally, Marshall, Andrew, McGlone, Francis, Francis, Susan T., and Favorov, Oleg
- Published
- 2020
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39. Dialysis-Induced Cardiovascular and Multiorgan Morbidity
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Canaud, Bernard, Kooman, Jeroen P., Selby, Nicholas M., Taal, Maarten W., Francis, Susan, Maierhofer, Andreas, Kopperschmidt, Pascal, Collins, Allan, and Kotanko, Peter
- Published
- 2020
- Full Text
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40. FU-Net: Multi-class Image Segmentation Using Feedback Weighted U-Net
- Author
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Jafari, Mina, Li, Ruizhe, Xing, Yue, Auer, Dorothee, Francis, Susan, Garibaldi, Jonathan, Chen, Xin, Goos, Gerhard, Founding Editor, Hartmanis, Juris, Founding Editor, Bertino, Elisa, Editorial Board Member, Gao, Wen, Editorial Board Member, Steffen, Bernhard, Editorial Board Member, Woeginger, Gerhard, Editorial Board Member, Yung, Moti, Editorial Board Member, Zhao, Yao, editor, Barnes, Nick, editor, Chen, Baoquan, editor, Westermann, Rüdiger, editor, Kong, Xiangwei, editor, and Lin, Chunyu, editor
- Published
- 2019
- Full Text
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41. A probabilistic atlas of finger dominance in the primary somatosensory cortex
- Author
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O’Neill, George C., Sengupta, Ayan, Asghar, Michael, Barratt, Eleanor L., Besle, Julien, Schluppeck, Denis, Francis, Susan T., and Sanchez Panchuelo, Rosa M.
- Published
- 2020
- Full Text
- View/download PDF
42. Multi-site harmonization of 7 tesla MRI neuroimaging protocols
- Author
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Clarke, William T., Mougin, Olivier, Driver, Ian D., Rua, Catarina, Morgan, Andrew T., Asghar, Michael, Clare, Stuart, Francis, Susan, Wise, Richard G., Rodgers, Christopher T., Carpenter, Adrian, Muir, Keith, and Bowtell, Richard
- Published
- 2020
- Full Text
- View/download PDF
43. Post-stimulus beta responses are modulated by task duration
- Author
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Pakenham, Daisie O., Quinn, Andrew J., Fry, Adam, Francis, Susan T., Woolrich, Mark W., Brookes, Matthew J., and Mullinger, Karen J.
- Published
- 2020
- Full Text
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44. The association between subcortical and cortical fMRI and lifetime noise exposure in listeners with normal hearing thresholds
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Dewey, Rebecca S., Francis, Susan T., Guest, Hannah, Prendergast, Garreth, Millman, Rebecca E., Plack, Christopher J., and Hall, Deborah A.
- Published
- 2020
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45. An examination of resting-state functional connectivity in patients with active Crohn’s disease
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Thapaliya, Gita, primary, Eldeghaidy, Sally, additional, Radford, Shellie J., additional, Francis, Susan T., additional, and Moran, Gordon William, additional
- Published
- 2023
- Full Text
- View/download PDF
46. Multiparametric Renal Magnetic Resonance Imaging for Prediction and Annual Monitoring of the Progression of Chronic Kidney Disease over Two Years
- Author
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Buchanan, Charlotte E., primary, Mahmoud, Huda, additional, Cox, Eleanor F., additional, Prestwich, Benjamin L., additional, Noble, Rebecca A., additional, Selby, Nicholas M., additional, Taal, Maarten W., additional, and Francis, Susan T., additional
- Published
- 2023
- Full Text
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47. Effective connectivity within a triple network brain system discriminates schizophrenia spectrum disorders from psychotic bipolar disorder at the single-subject level
- Author
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Palaniyappan, Lena, Deshpande, Gopikrishna, Lanka, Pradyumna, Rangaprakash, D., Iwabuchi, Sarina, Francis, Susan, and Liddle, Peter F.
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- 2019
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48. The relationship between negative BOLD responses and ERS and ERD of alpha/beta oscillations in visual and motor cortex
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Wilson, Ross, Mullinger, Karen J., Francis, Susan T., and Mayhew, Stephen D.
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- 2019
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49. Consensus-based technical recommendations for clinical translation of renal T1 and T2 mapping MRI
- Author
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Dekkers, Ilona A., de Boer, Anneloes, Sharma, Kaniska, Cox, Eleanor F., Lamb, Hildo J., Buckley, David L., Bane, Octavia, Morris, David M., Prasad, Pottumarthi V., Semple, Scott I. K., Gillis, Keith A., Hockings, Paul, Buchanan, Charlotte, Wolf, Marcos, Laustsen, Christoffer, Leiner, Tim, Haddock, Bryan, Hoogduin, Johannes M., Pullens, Pim, Sourbron, Steven, and Francis, Susan
- Published
- 2020
- Full Text
- View/download PDF
50. Consensus-based technical recommendations for clinical translation of renal ASL MRI
- Author
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Nery, Fabio, Buchanan, Charlotte E., Harteveld, Anita A., Odudu, Aghogho, Bane, Octavia, Cox, Eleanor F., Derlin, Katja, Gach, H. Michael, Golay, Xavier, Gutberlet, Marcel, Laustsen, Christoffer, Ljimani, Alexandra, Madhuranthakam, Ananth J., Pedrosa, Ivan, Prasad, Pottumarthi V., Robson, Philip M., Sharma, Kanishka, Sourbron, Steven, Taso, Manuel, Thomas, David L., Wang, Danny J. J., Zhang, Jeff L., Alsop, David C., Fain, Sean B., Francis, Susan T., and Fernández-Seara, María A.
- Published
- 2020
- Full Text
- View/download PDF
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