918 results on '"Maurovich-Horvat, Pál"'
Search Results
2. Automated segment-level coronary artery calcium scoring on non-contrast CT: a multi-task deep-learning approach
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Föllmer, Bernhard, Tsogias, Sotirios, Biavati, Federico, Schulze, Kenrick, Bosserdt, Maria, Hövermann, Lars Gerrit, Stober, Sebastian, Samek, Wojciech, Kofoed, Klaus F., Maurovich-Horvat, Pál, Donnelly, Patrick, Benedek, Theodora, Williams, Michelle C., and Dewey, Marc
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- 2024
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3. The reliability of virtual non-contrast reconstructions of photon-counting detector CT scans in assessing abdominal organs
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Dudás, Ibolyka, Schultz, Leona, Benke, Márton, Szücs, Ákos, Kaposi, Pál Novák, Szijártó, Attila, Maurovich-Horvat, Pál, and Budai, Bettina Katalin
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- 2024
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4. Accuracy of ultra-high resolution and virtual non-calcium reconstruction algorithm for stenosis evaluation with photon-counting CT: results from a dynamic phantom study
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Zsarnoczay, Emese, Fink, Nicola, Schoepf, U. Joseph, Pinos, Daniel, O’Doherty, Jim, Allmendinger, Thomas, Hagenauer, Junia, Griffith III, Joseph P., Vecsey-Nagy, Milán, Maurovich-Horvat, Pál, Emrich, Tilman, and Varga-Szemes, Akos
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- 2024
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5. Clinical Quantitative Coronary Artery Stenosis and Coronary Atherosclerosis Imaging: A Consensus Statement from the Quantitative Cardiovascular Imaging Study Group
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Vázquez Mézquita, Aldo J., Biavati, Federico, Falk, Volkmar, Alkadhi, Hatem, Hajhosseiny, Reza, Maurovich-Horvat, Pál, Manka, Robert, Kozerke, Sebastian, Stuber, Matthias, Derlin, Thorsten, Channon, Keith M., Išgum, Ivana, Coenen, Adriaan, Foellmer, Bernhard, Dey, Damini, Volleberg, Rick H. J. A., Meinel, Felix G., Dweck, Marc R., Piek, Jan J., van de Hoef, Tim, Landmesser, Ulf, Guagliumi, Giulio, Giannopoulos, Andreas A., Botnar, René M., Khamis, Ramzi, Williams, Michelle C., Newby, David E., Dewey, Marc, Sack, Ingolf, editor, and Schaeffter, Tobias, editor
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- 2024
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6. Roadmap on the Use of Artificial Intelligence for Imaging of Vulnerable Atherosclerotic Plaque in Coronary Arteries
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Föllmer, Bernhard, Williams, Michelle C., Dey, Damini, Arbab-Zadeh, Armin, Maurovich-Horvat, Pál, Volleberg, Rick H. J. A., Rueckert, Daniel, Schnabel, Julia A., Newby, David E., Dweck, Marc R., Guagliumi, Giulio, Falk, Volkmar, Vázquez Mézquita, Aldo J., Biavati, Federico, Išgum, Ivana, Dewey, Marc, Sack, Ingolf, editor, and Schaeffter, Tobias, editor
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- 2024
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7. Intraindividual Comparison of Ultrahigh-Spatial-Resolution Photon-Counting Detector CT and Energy-Integrating Detector CT for Coronary Stenosis Measurement
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Vecsey-Nagy, Milán, Tremamunno, Giuseppe, Schoepf, U. Joseph, Gnasso, Chiara, Zsarnóczay, Emese, Fink, Nicola, Kravchenko, Dmitrij, Halfmann, Moritz C., Laux, Gerald S., O’Doherty, Jim, Szilveszter, Bálint, Maurovich-Horvat, Pál, Kabakus, Ismail Mikdat, Suranyi, Pal Spruill, Varga-Szemes, Akos, and Emrich, Tilman
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- 2024
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8. Impact of virtual monoenergetic levels on coronary plaque volume components using photon-counting computed tomography
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Vattay, Borbála, Szilveszter, Bálint, Boussoussou, Melinda, Vecsey-Nagy, Milán, Lin, Andrew, Konkoly, Gábor, Kubovje, Anikó, Schwarz, Florian, Merkely, Béla, Maurovich-Horvat, Pál, Williams, Michelle C., Dey, Damini, and Kolossváry, Márton
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- 2023
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9. Standards for quantitative assessments by coronary computed tomography angiography (CCTA): An expert consensus document of the society of cardiovascular computed tomography (SCCT)
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Nieman, Koen, García-García, Hector M., Hideo-Kajita, Alexandre, Collet, Carlos, Dey, Damini, Pugliese, Francesca, Weissman, Gaby, Tijssen, Jan G.P., Leipsic, Jonathon, Opolski, Maksymilian P., Ferencik, Maros, Lu, Michael T., Williams, Michelle C., Bruining, Nico, Blanco, Pablo Javier, Maurovich-Horvat, Pal, and Achenbach, Stephan
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- 2024
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10. Artificial Intelligence–Enabled Quantitative Coronary Plaque and Hemodynamic Analysis for Predicting Acute Coronary Syndrome
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Koo, Bon-Kwon, Yang, Seokhun, Jung, Jae Wook, Zhang, Jinlong, Lee, Keehwan, Hwang, Doyeon, Lee, Kyu-Sun, Doh, Joon-Hyung, Nam, Chang-Wook, Kim, Tae Hyun, Shin, Eun-Seok, Chun, Eun Ju, Choi, Su-Yeon, Kim, Hyun Kuk, Hong, Young Joon, Park, Hun-Jun, Kim, Song-Yi, Husic, Mirza, Lambrechtsen, Jess, Jensen, Jesper M., Nørgaard, Bjarne L., Andreini, Daniele, Maurovich-Horvat, Pal, Merkely, Bela, Penicka, Martin, de Bruyne, Bernard, Ihdayhid, Abdul, Ko, Brian, Tzimas, Georgios, Leipsic, Jonathon, Sanz, Javier, Rabbat, Mark G., Katchi, Farhan, Shah, Moneal, Tanaka, Nobuhiro, Nakazato, Ryo, Asano, Taku, Terashima, Mitsuyasu, Takashima, Hiroaki, Amano, Tetsuya, Sobue, Yoshihiro, Matsuo, Hitoshi, Otake, Hiromasa, Kubo, Takashi, Takahata, Masahiro, Akasaka, Takashi, Kido, Teruhito, Mochizuki, Teruhito, Yokoi, Hiroyoshi, Okonogi, Taichi, Kawasaki, Tomohiro, Nakao, Koichi, Sakamoto, Tomohiro, Yonetsu, Taishi, Kakuta, Tsunekazu, Yamauchi, Yohei, Bax, Jeroen J., Shaw, Leslee J., Stone, Peter H., and Narula, Jagat
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- 2024
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11. Clinical quantitative coronary artery stenosis and coronary atherosclerosis imaging: a Consensus Statement from the Quantitative Cardiovascular Imaging Study Group
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Mézquita, Aldo J. Vázquez, Biavati, Federico, Falk, Volkmar, Alkadhi, Hatem, Hajhosseiny, Reza, Maurovich-Horvat, Pál, Manka, Robert, Kozerke, Sebastian, Stuber, Matthias, Derlin, Thorsten, Channon, Keith M., Išgum, Ivana, Coenen, Adriaan, Foellmer, Bernhard, Dey, Damini, Volleberg, Rick H. J. A., Meinel, Felix G., Dweck, Marc R., Piek, Jan J., van de Hoef, Tim, Landmesser, Ulf, Guagliumi, Giulio, Giannopoulos, Andreas A., Botnar, René M., Khamis, Ramzi, Williams, Michelle C., Newby, David E., and Dewey, Marc
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- 2023
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12. Coronary CT angiography-based FFR with ultrahigh-resolution photon-counting detector CT: Intra-individual comparison to energy-integrating detector CT
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Vecsey-Nagy, Milan, Tremamunno, Giuseppe, Schoepf, U. Joseph, Gnasso, Chiara, Zsarnóczay, Emese, Fink, Nicola, Kravchenko, Dmitrij, Taha Hagar, Muhammad, Halfmann, Moritz C., Jokkel, Zsófia, O’Doherty, Jim, Szilveszter, Bálint, Maurovich-Horvat, Pál, Spruill Suranyi, Pal, Varga-Szemes, Akos, and Emrich, Tilman
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- 2024
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13. The interplay of genetic and environmental factors on the morphology of the limbic cortex and hippocampal subfields: Insights from an MRI twin study
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Vessal, Arsalan, Alijanpourotaghsara, Amirreza, Strelnikov, David, Persely, Aliz, Piroska, Marton, Alijanpour, Amirmasoud, Jokkel, Zsofia, Szalontai, Laszlo, Forgo, Bianka, Kozak, Lajos Rudolf, Bekesy-Szabo, Adam, Maurovich-Horvat, Pal, Tarnoki, David Laszlo, and Tarnoki, Adam Domonkos
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- 2024
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14. Ultra-high resolution coronary CT angiography on photon-counting detector CT: bi-centre study on the impact of quantum iterative reconstruction on image quality and accuracy of stenosis measurements
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Vecsey-Nagy, Milan, Varga-Szemes, Akos, Schoepf, U. Joseph, Tremamunno, Giuseppe, Fink, Nicola, Zsarnoczay, Emese, Szilveszter, Bálint, Graafen, Dirk, Halfmann, Moritz C, Vattay, Borbála, Boussoussou, Melinda, O’Doherty, Jim, Suranyi, Pal Spruill, Maurovich-Horvat, Pál, and Emrich, Tilman
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- 2024
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15. Inflammatory risk and cardiovascular events in patients without obstructive coronary artery disease: the ORFAN multicentre, longitudinal cohort study
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Thomas, Sheena, Denton, Jon, Farral, Robyn, Taylor, Carolyn, Qin, Wendy, Kasongo, Mary, Anthony, Susan, Banning, Adrian, Xie, Cheng, Kharbanda, Rajesh K, Pritchard, Amy, Halborg, Thomas, Syed, Nigar, Fry, Sam, Mathers, Chris, Rose, Anne, Hudson, George, Bajaj, Amrita, Das, Intrajeet, Deshpande, Aparna, Rao, Praveen, Lawday, Dan, Mirsadraee, Saeed, Hudson, Benjamin, Berry, Colin, Marwan, Mohamed, Maurovich-Horvat, Pál, He, Guo-Wei, Lin, Wen-Hua, Fan, Li-Juan, Takahashi, Naohiko, Kondo, Hidekazu, Dai, Neng, Ge, Junbo, Koo, Bon-Kwon, Guglielmo, Marco, Pontone, Gianluca, Huck, Daniel, Benedek, Theodora, Rajani, Ronak, Vilic, Dijana, Aljazzaf, Haleema, Mun, Mak S, Benedetti, Giulia, Preston, Rebecca L, Raisi-Estabragh, Zahra, Connolly, Derek L, Sharma, Vinoda, Grenfell, Rebecca, Bradlow, William, Schmitt, Matthias, Serfaty, Fabiano, Gottlieb, Ilan, Neves, Mario FT, Newby, David E, Dweck, Marc R, Hatem, Stéphane, Redheuil, Alban, Benetos, Georgios, Beer, Meinrad, Granillo, Gastón AR, Selvanayagam, Joseph, Lopez-Jimenez, Francisco, De Bosscher, Ruben, Tavildari, Alain, Figtree, Gemma, Danad, Ibrahim, Shantouf, Ronney, Kietselaer, Bas, Tousoulis, Dimitris, Dangas, George, Mehta, Nehal N, Kontanidis, Christos, Kunadian, Vijay, Fairbairn, Timothy A, Chan, Kenneth, Wahome, Elizabeth, Tsiachristas, Apostolos, Antonopoulos, Alexios S, Patel, Parijat, Lyasheva, Maria, Kingham, Lucy, West, Henry, Oikonomou, Evangelos K, Volpe, Lucrezia, Mavrogiannis, Michail C, Nicol, Edward, Mittal, Tarun K, Kotronias, Rafail A, Adlam, David, Modi, Bhavik, Rodrigues, Jonathan, Screaton, Nicholas, Kardos, Attila, Greenwood, John P, Sabharwal, Nikant, De Maria, Giovanni Luigi, Munir, Shahzad, McAlindon, Elisa, Sohan, Yogesh, Tomlins, Pete, Siddique, Muhammad, Kelion, Andrew, Shirodaria, Cheerag, Pugliese, Francesca, Petersen, Steffen E, Blankstein, Ron, Desai, Milind, Gersh, Bernard J, Achenbach, Stephan, Libby, Peter, Neubauer, Stefan, Channon, Keith M, Deanfield, John, and Antoniades, Charalambos
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- 2024
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16. Association of Left Atrial Appendage Morphology and Function With Stroke and Transient Ischemic Attack in Atrial Fibrillation Patients
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Simon, Judit, Smit, Jeff M., El Mahdiui, Mohammed, Száraz, Lili, van Rosendael, Alexander R., Zsarnóczay, Emese, Nagy, Anikó Ilona, Gellér, Lászlo, van der Geest, Rob J., Bax, Jeroen J., Maurovich-Horvat, Pál, and Merkely, Béla
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- 2024
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17. Qualitative and quantitative image quality of coronary CT angiography using photon-counting computed tomography: Standard and Ultra-high resolution protocols
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Vattay, Borbála, Boussoussou, Melinda, Vecsey-Nagy, Milán, Kolossváry, Márton, Juhász, Dénes, Kerkovits, Nóra, Balogh, Hanna, Nagy, Norbert, Vértes, Miklós, Kiss, Máté, Kubovje, Anikó, Merkely, Béla, Maurovich Horvat, Pál, and Szilveszter, Bálint
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- 2024
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18. Worldwide Disparities in Recovery of Cardiac Testing 1 Year Into COVID-19.
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Einstein, Andrew, Hirschfeld, Cole, Williams, Michelle, Vitola, Joao, Better, Nathan, Villines, Todd, Cerci, Rodrigo, Shaw, Leslee, Choi, Andrew, Dorbala, Sharmila, Karthikeyan, Ganesan, Lu, Bin, Sinitsyn, Valentin, Ansheles, Alexey, Kudo, Takashi, Bucciarelli-Ducci, Chiara, Nørgaard, Bjarne, Maurovich-Horvat, Pál, Campisi, Roxana, Milan, Elisa, Louw, Lizette, Allam, Adel, Bhatia, Mona, Sewanan, Lorenzo, Malkovskiy, Eli, Cohen, Yosef, Randazzo, Michael, Narula, Jagat, Morozova, Olga, Pascual, Thomas, Pynda, Yaroslav, Dondi, Maurizio, and Paez, Diana
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COVID-19 ,cardiac testing ,cardiovascular disease ,coronavirus ,global health ,COVID-19 ,Delivery of Health Care ,Health Personnel ,Humans ,Pandemics ,Surveys and Questionnaires - Abstract
BACKGROUND: The extent to which health care systems have adapted to the COVID-19 pandemic to provide necessary cardiac diagnostic services is unknown. OBJECTIVES: The aim of this study was to determine the impact of the pandemic on cardiac testing practices, volumes and types of diagnostic services, and perceived psychological stress to health care providers worldwide. METHODS: The International Atomic Energy Agency conducted a worldwide survey assessing alterations from baseline in cardiovascular diagnostic care at the pandemics onset and 1 year later. Multivariable regression was used to determine factors associated with procedure volume recovery. RESULTS: Surveys were submitted from 669 centers in 107 countries. Worldwide reduction in cardiac procedure volumes of 64% from March 2019 to April 2020 recovered by April 2021 in high- and upper middle-income countries (recovery rates of 108% and 99%) but remained depressed in lower middle- and low-income countries (46% and 30% recovery). Although stress testing was used 12% less frequently in 2021 than in 2019, coronary computed tomographic angiography was used 14% more, a trend also seen for other advanced cardiac imaging modalities (positron emission tomography and magnetic resonance; 22%-25% increases). Pandemic-related psychological stress was estimated to have affected nearly 40% of staff, impacting patient care at 78% of sites. In multivariable regression, only lower-income status and physicians psychological stress were significant in predicting recovery of cardiac testing. CONCLUSIONS: Cardiac diagnostic testing has yet to recover to prepandemic levels in lower-income countries. Worldwide, the decrease in standard stress testing is offset by greater use of advanced cardiac imaging modalities. Pandemic-related psychological stress among providers is widespread and associated with poor recovery of cardiac testing.
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- 2022
19. Intra-individual comparison of coronary CT angiography-based FFR between energy-integrating and photon-counting detector CT systems
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Zsarnoczay, Emese, Pinos, Daniel, Schoepf, U. Joseph, Fink, Nicola, O'Doherty, Jim, Gnasso, Chiara, Griffith, Joseph, III, Vecsey-Nagy, Milán, Suranyi, Pal, Maurovich-Horvat, Pál, Emrich, Tilman, and Varga-Szemes, Akos
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- 2024
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20. Rapid quantification of COVID-19 pneumonia burden from computed tomography with convolutional LSTM networks
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Grodecki, Kajetan, Killekar, Aditya, Lin, Andrew, Cadet, Sebastien, McElhinney, Priscilla, Razipour, Aryabod, Chan, Cato, Pressman, Barry D., Julien, Peter, Simon, Judit, Maurovich-Horvat, Pal, Gaibazzi, Nicola, Thakur, Udit, Mancini, Elisabetta, Agalbato, Cecilia, Munechika, Jiro, Matsumoto, Hidenari, Menè, Roberto, Parati, Gianfranco, Cernigliaro, Franco, Nerlekar, Nitesh, Torlasco, Camilla, Pontone, Gianluca, Dey, Damini, and Slomka, Piotr J.
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Electrical Engineering and Systems Science - Image and Video Processing ,Computer Science - Computer Vision and Pattern Recognition ,Computer Science - Machine Learning - Abstract
Quantitative lung measures derived from computed tomography (CT) have been demonstrated to improve prognostication in coronavirus disease (COVID-19) patients, but are not part of the clinical routine since required manual segmentation of lung lesions is prohibitively time-consuming. We propose a new fully automated deep learning framework for rapid quantification and differentiation between lung lesions in COVID-19 pneumonia from both contrast and non-contrast CT images using convolutional Long Short-Term Memory (ConvLSTM) networks. Utilizing the expert annotations, model training was performed 5 times with separate hold-out sets using 5-fold cross-validation to segment ground-glass opacity and high opacity (including consolidation and pleural effusion). The performance of the method was evaluated on CT data sets from 197 patients with positive reverse transcription polymerase chain reaction test result for SARS-CoV-2. Strong agreement between expert manual and automatic segmentation was obtained for lung lesions with a Dice score coefficient of 0.876 $\pm$ 0.005; excellent correlations of 0.978 and 0.981 for ground-glass opacity and high opacity volumes. In the external validation set of 67 patients, there was dice score coefficient of 0.767 $\pm$ 0.009 as well as excellent correlations of 0.989 and 0.996 for ground-glass opacity and high opacity volumes. Computations for a CT scan comprising 120 slices were performed under 2 seconds on a personal computer equipped with NVIDIA Titan RTX graphics processing unit. Therefore, our deep learning-based method allows rapid fully-automated quantitative measurement of pneumonia burden from CT and may generate results with an accuracy similar to the expert readers., Comment: Fixed some typing mistakes in v2. No other results changed
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- 2021
21. Impact of COVID-19 on Cardiovascular Testing in the United States Versus the Rest of the World
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Hirschfeld, Cole B, Shaw, Leslee J, Williams, Michelle C, Lahey, Ryan, Villines, Todd C, Dorbala, Sharmila, Choi, Andrew D, Shah, Nishant R, Bluemke, David A, Berman, Daniel S, Blankstein, Ron, Ferencik, Maros, Narula, Jagat, Winchester, David, Malkovskiy, Eli, Goebel, Benjamin, Randazzo, Michael J, Lopez-Mattei, Juan, Parwani, Purvi, Vitola, Joao V, Cerci, Rodrigo J, Better, Nathan, Raggi, Paolo, Lu, Bin, Sergienko, Vladimir, Sinitsyn, Valentin, Kudo, Takashi, Nørgaard, Bjarne Linde, Maurovich-Horvat, Pál, Cohen, Yosef A, Pascual, Thomas NB, Pynda, Yaroslav, Dondi, Maurizio, Paez, Diana, Einstein, Andrew J, Cerci, Rodrigo, Hinterleitner, Gerd, Lu, Yao, Morozova, Olga, Xu, Zhuoran, Cohen, Yosef, Randazzo, Michael, Choi, Andrew, Nasery, Mohammad Nawaz, Goda, Artan, Shirka, Ervina, Benlabgaa, Rabie, Bouyoucef, Salah, Medjahedi, Abdelkader, Nailli, Qais, Agolti, Mariela, Aguero, Roberto Nicolas, del Carmen Alak, Maria, Alberguina, Lucia Graciela, Arroñada, Guillermo, Astesiano, Andrea, Astesiano, Alfredo, Norton, Carolina Bas, Benteo, Pablo, Blanco, Juan, Bonelli, Juan Manuel, Bustos, Jose Javier, Cabrejas, Raul, Cachero, Jorge, Campisi, Roxana, Canderoli, Alejandro, Carames, Silvia, Carrascosa, Patrícia, Castro, Ricardo, Cendoya, Oscar, Cognigni, Luciano Martin, Collaud, Carlos, Cortes, Claudia, Courtis, Javier, Cragnolino, Daniel, Daicz, Mariana, De La Vega, Alejandro, De Maria, Silvia Teresa, Del Riego, Horacio, Dettori, Fernando, Deviggiano, Alejandro, and Dragonetti, Laura
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Heart Disease ,Clinical Research ,Health Services ,Prevention ,Aging ,Cardiovascular ,Good Health and Well Being ,COVID-19 ,COVID-19 Testing ,Humans ,Pandemics ,Predictive Value of Tests ,SARS-CoV-2 ,United States ,cardiovascular disease ,cardiovascular imaging ,coronavirus ,diagnostic cardiovascular procedure ,INCAPS-COVID Investigators Group ,Cardiorespiratory Medicine and Haematology ,Clinical Sciences ,Cardiovascular System & Hematology - Abstract
ObjectivesThis study sought to quantify and compare the decline in volumes of cardiovascular procedures between the United States and non-U.S. institutions during the early phase of the coronavirus disease-2019 (COVID-19) pandemic.BackgroundThe COVID-19 pandemic has disrupted the care of many non-COVID-19 illnesses. Reductions in diagnostic cardiovascular testing around the world have led to concerns over the implications of reduced testing for cardiovascular disease (CVD) morbidity and mortality.MethodsData were submitted to the INCAPS-COVID (International Atomic Energy Agency Non-Invasive Cardiology Protocols Study of COVID-19), a multinational registry comprising 909 institutions in 108 countries (including 155 facilities in 40 U.S. states), assessing the impact of the COVID-19 pandemic on volumes of diagnostic cardiovascular procedures. Data were obtained for April 2020 and compared with volumes of baseline procedures from March 2019. We compared laboratory characteristics, practices, and procedure volumes between U.S. and non-U.S. facilities and between U.S. geographic regions and identified factors associated with volume reduction in the United States.ResultsReductions in the volumes of procedures in the United States were similar to those in non-U.S. facilities (68% vs. 63%, respectively; p = 0.237), although U.S. facilities reported greater reductions in invasive coronary angiography (69% vs. 53%, respectively; p
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- 2021
22. Photon-counting detector CT reduces the rate of referrals to invasive coronary angiography as compared to CT with whole heart coverage energy-integrating detector
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Simon, Judit, Hrenkó, Áron, Kerkovits, Nóra Melinda, Nagy, Kristóf, Vértes, Miklós, Balogh, Hanna, Nagy, Norbert, Munkácsi, Tamás, Emrich, Tilman, Varga-Szemes, Akos, Boussoussou, Melinda, Vattay, Borbála, Vecsey-Nagy, Milán, Kolossváry, Márton, Szilveszter, Bálint, Merkely, Béla, and Maurovich-Horvat, Pál
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- 2024
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23. International Impact of COVID-19 on the Diagnosis of Heart Disease
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Einstein, Andrew J, Shaw, Leslee J, Hirschfeld, Cole, Williams, Michelle C, Villines, Todd C, Better, Nathan, Vitola, Joao V, Cerci, Rodrigo, Dorbala, Sharmila, Raggi, Paolo, Choi, Andrew D, Lu, Bin, Sinitsyn, Valentin, Sergienko, Vladimir, Kudo, Takashi, Nørgaard, Bjarne Linde, Maurovich-Horvat, Pál, Campisi, Roxana, Milan, Elisa, Louw, Lizette, Allam, Adel H, Bhatia, Mona, Malkovskiy, Eli, Goebel, Benjamin, Cohen, Yosef, Randazzo, Michael, Narula, Jagat, Pascual, Thomas NB, Pynda, Yaroslav, Dondi, Maurizio, Paez, Diana, Hinterleitner, Gerd, Lu, Yao, Morozova, Olga, Xu, Zhuoran, Lopez-Mattei, Juan, Parwani, Purvi, Nasery, Mohammad Nawaz, Goda, Artan, Shirka, Ervina, Benlabgaa, Rabie, Bouyoucef, Salah, Medjahedi, Abdelkader, Nailli, Qais, Agolti, Mariela, Aguero, Roberto Nicolas, del Carmen Alak, Maria, Alberguina, Lucia Graciela, Arroñada, Guillermo, Astesiano, Andrea, Astesiano, Alfredo, Norton, Carolina Bas, Benteo, Pablo, Blanco, Juan, Bonelli, Juan Manuel, Bustos, Jose Javier, Cabrejas, Raul, Cachero, Jorge, Canderoli, Alejandro, Carames, Silvia, Carrascosa, Patrícia, Castro, Ricardo, Cendoya, Oscar, Cognigni, Luciano Martin, Collaud, Carlos, Cortes, Claudia, Courtis, Javier, Cragnolino, Daniel, Daicz, Mariana, De La Vega, Alejandro, De Maria, Silvia Teresa, Del Riego, Horacio, Dettori, Fernando, Deviggiano, Alejandro, Dragonetti, Laura, Embon, Mario, Enriquez, Ruben Emilio, Ensinas, Jorge, Faccio, Fernando, Facello, Adolfo, Garofalo, Diego, Geronazzo, Ricardo, Gonza, Natalia, Gutierrez, Lucas, Guzzo, Miguel Angel, Hasbani, Victor, Huerin, Melina, Jäger, Victor, Lewkowicz, Julio Manuel, De Munaín, Maria Nieves A López, Lotti, Jose Maria, Marquez, Alejandra, Masoli, Osvaldo, Mastrovito, Edgardo, Mayoraz, Matias, Melado, Graciela Eva, Mele, Anibal, Merani, Maria Fernanda, Meretta, Alejandro Horacio, and Molteni, Susana
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Heart Disease ,Biomedical Imaging ,Clinical Research ,Cardiovascular ,Heart Disease - Coronary Heart Disease ,Good Health and Well Being ,COVID-19 ,Diagnostic Techniques ,Cardiovascular ,Global Health ,Health Care Surveys ,Heart Diseases ,Humans ,International Agencies ,the ,INCAPS COVID Investigators Group ,cardiac testing ,cardiovascular disease ,coronavirus ,global health ,Cardiorespiratory Medicine and Haematology ,Public Health and Health Services ,Cardiovascular System & Hematology - Abstract
BackgroundThe coronavirus disease 2019 (COVID-19) pandemic has adversely affected diagnosis and treatment of noncommunicable diseases. Its effects on delivery of diagnostic care for cardiovascular disease, which remains the leading cause of death worldwide, have not been quantified.ObjectivesThe study sought to assess COVID-19's impact on global cardiovascular diagnostic procedural volumes and safety practices.MethodsThe International Atomic Energy Agency conducted a worldwide survey assessing alterations in cardiovascular procedure volumes and safety practices resulting from COVID-19. Noninvasive and invasive cardiac testing volumes were obtained from participating sites for March and April 2020 and compared with those from March 2019. Availability of personal protective equipment and pandemic-related testing practice changes were ascertained.ResultsSurveys were submitted from 909 inpatient and outpatient centers performing cardiac diagnostic procedures, in 108 countries. Procedure volumes decreased 42% from March 2019 to March 2020, and 64% from March 2019 to April 2020. Transthoracic echocardiography decreased by 59%, transesophageal echocardiography 76%, and stress tests 78%, which varied between stress modalities. Coronary angiography (invasive or computed tomography) decreased 55% (p
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- 2021
24. Incidental findings on routine preoperative noncontrast chest computed tomography and chest radiography prior to cardiac surgery in the multicenter randomized controlled CRICKET study
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Knol, Wiebe G., den Harder, Annemarie M., de Heer, Linda M., Benke, Kálmán, Maurovich-Horvat, Pál, Leiner, Tim, Merkely, Béla, Krestin, Gabriel P., Bogers, Ad J.J.C., and Budde, Ricardo P.J.
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- 2023
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25. Microstructural alterations measured by diffusion tensor imaging following transcatheter aortic valve replacement and their association with cerebral ischemic injury and cognitive function — a prospective study
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Varga, Andrea, Gyebnár, Gyula, Suhai, Ferenc Imre, Nagy, Anikó Ilona, Kozák, Lajos Rudolf, Póka, Csenge Ágnes, Turáni, Mirjam Franciska, Borzsák, Sarolta, Apor, Astrid, Bartykowszki, Andrea, Szilveszter, Bálint, Kolossváry, Márton, Maurovich-Horvat, Pál, and Merkely, Béla
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- 2022
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26. Learning a sparse database for patch-based medical image segmentation
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Freiman, Moti, Nickisch, Hannes, Schmitt, Holger, Maurovich-Horvat, Pal, Donnelly, Patrick, Vembar, Mani, and Goshen, Liran
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Electrical Engineering and Systems Science - Image and Video Processing ,Computer Science - Computer Vision and Pattern Recognition ,Computer Science - Machine Learning ,Physics - Medical Physics - Abstract
We introduce a functional for the learning of an optimal database for patch-based image segmentation with application to coronary lumen segmentation from coronary computed tomography angiography (CCTA) data. The proposed functional consists of fidelity, sparseness and robustness to small-variations terms and their associated weights. Existing work address database optimization by prototype selection aiming to optimize the database by either adding or removing prototypes according to a set of predefined rules. In contrast, we formulate the database optimization task as an energy minimization problem that can be solved using standard numerical tools. We apply the proposed database optimization functional to the task of optimizing a database for patch-base coronary lumen segmentation. Our experiments using the publicly available MICCAI 2012 coronary lumen segmentation challenge data show that optimizing the database using the proposed approach reduced database size by 96% while maintaining the same level of lumen segmentation accuracy. Moreover, we show that the optimized database yields an improved specificity of CCTA based fractional flow reserve (0.73 vs 0.7 for all lesions and 0.68 vs 0.65 for obstructive lesions) using a training set of 132 (76 obstructive) coronary lesions with invasively measured FFR as the reference.
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- 2019
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27. Improving CCTA based lesions' hemodynamic significance assessment by accounting for partial volume modeling in automatic coronary lumen segmentation
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Freiman, Moti, Nickisch, Hannes, Prevrhal, Sven, Schmitt, Holger, Vembar, Mani, Maurovich-Horvat, Pál, Donnelly, Patrick, and Goshen, Liran
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Electrical Engineering and Systems Science - Image and Video Processing ,Computer Science - Computer Vision and Pattern Recognition ,Physics - Medical Physics - Abstract
Purpose: The goal of this study was to assess the potential added benefit of accounting for partial volume effects (PVE) in an automatic coronary lumen segmentation algorithm from coronary computed tomography angiography (CCTA). Materials and methods: We assessed the potential added value of PVE integration as a part of the automatic coronary lumen segmentation algorithm by means of segmentation accuracy using the MICCAI 2012 challenge framework and by means of flow simulation overall accuracy, sensitivity, specificity, negative and positive predictive values and the receiver operated characteristic (ROC) area under the curve. We also evaluated the potential benefit of accounting for PVE in automatic segmentation for flow-simulation for lesions that were diagnosed as obstructive based on CCTA, which could have indicated a need for an invasive exam and revascularization. Results: Our segmentation algorithm improves the maximal surface distance error by ~39% compared to previously published method on the 18 datasets 50 from the MICCAI 2012 challenge with comparable Dice and mean surface distance. Results with and without accounting for PVE were comparable. In contrast, integrating PVE analysis into an automatic coronary lumen segmentation algorithm improved the flow simulation specificity from 0.6 to 0.68 with the same sensitivity of 0.83. Also, accounting for PVE improved the area under the ROC curve for detecting hemodynamically significant CAD from 0.76 to 0.8 compared to automatic segmentation without PVE analysis with invasive FFR threshold of 0.8 as the reference standard. The improvement in the AUC was statistically significant (N=76, Delong's test, p=0.012). Conclusion: Accounting for the partial volume effects in automatic coronary lumen segmentation algorithms has the potential to improve the accuracy of CCTA-based hemodynamic assessment of coronary artery lesions.
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- 2019
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28. Coronary CT-based FFR in patients with acute myocardial infarction might predict follow-up invasive FFR: The XPECT-MI study
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Boussoussou, Melinda, Édes, István F., Nowotta, Fanni, Vattay, Borbála, Vecsey-Nagy, Milán, Drobni, Zsófia, Simon, Judit, Kolossváry, Márton, Németh, Balázs, Jermendy, Ádám L., Becker, Dávid, Leipsic, Jonathon, Rogers, Campbell, Collinsworth, Amy, Maurovich-Horvat, Pál, Merkely, Béla, and Szilveszter, Bálint
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- 2023
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29. Ultra-high resolution photon-counting coronary CT angiography improves coronary stenosis quantification over a wide range of heart rates – A dynamic phantom study
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Zsarnoczay, Emese, Fink, Nicola, Schoepf, U. Joseph, O'Doherty, Jim, Allmendinger, Thomas, Hagenauer, Junia, Wolf, Elias V., Griffith, Joseph P., III, Maurovich-Horvat, Pál, Varga-Szemes, Akos, and Emrich, Tilman
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- 2023
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30. List of contributors
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Abdesselam, Ines, primary, Agarwal, Monica, additional, Ajie, Mandala, additional, Bakermans, Adrianus J., additional, Bauwens, Matthias, additional, Boesch, Chris, additional, Brady, Emer M., additional, Brady, Michael, additional, Brethauer, Stacy A., additional, Bulte, Daniel, additional, Christ, Emanuel, additional, Dekkers, Ilona A., additional, de Mutsert, Renée, additional, de Roos, Albert, additional, Després, Jean-Pierre, additional, English, Wayne J., additional, Fischli, Stefan, additional, Flynn, Charles R., additional, Gaborit, Bénédicte, additional, Gulsin, Gaurav S., additional, Henson, Joseph, additional, Higuchi, Ryota, additional, (Onno) Holleboom, A.G., additional, Jansen, Philip, additional, Jermendy, György, additional, Jiang, Janey, additional, Joles, Jaap A., additional, Just, Ivica, additional, Keller, J.J., additional, Klepochová, Radka, additional, Krebs, Michael, additional, Kreis, Roland, additional, Krššák, Martin, additional, Lamb, Hildo J., additional, Levelt, Eylem, additional, Lin, Ling, additional, Loher, Hannah, additional, MacCannell, Amanda, additional, Maurovich-Horvat, Pál, additional, Menzel, Christopher P., additional, Murakami, Daisuke, additional, Nadolsky, Karl, additional, Nguyen, Isabel T.N., additional, Numans, Mattijs E., additional, O'Neill, Sean M., additional, Paulus, Andreas, additional, Pijl, Hanno, additional, Rayner, Jennifer J., additional, Robson, Matthew, additional, Ruissen, M.M., additional, Saito, Yuichi, additional, Sala, Michiel, additional, Scherer, Thomas, additional, Schoonakker, Marjolein P., additional, Seidell, Jacob C., additional, Senn, Janina, additional, Severin, Sonia, additional, Stienstra, Rinke, additional, Straw, Sam, additional, Triay Bagur, Alexandre, additional, Tronieri, Jena Shaw, additional, Tushuizen, Maarten E., additional, Valet, Philippe, additional, van den Burg, Elske L., additional, van Peet, Petra G., additional, van Son, Koen C., additional, Verhaar, Marianne C., additional, and Wolf, Peter, additional
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- 2023
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31. Epicardial and pericoronary fat
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Maurovich-Horvat, Pál, primary and Jermendy, György, additional
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- 2023
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32. Radiomics in Cardiac CT
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Kolossváry, Márton, Maurovich-Horvat, Pál, Schoepf, U. Joseph, Series Editor, De Cecco, Carlo N., editor, van Assen, Marly, editor, and Leiner, Tim, editor
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- 2022
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33. Implications of computed tomography reconstruction algorithms on coronary atheroma quantification: Comparison with intravascular ultrasound
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Ramasamy, Anantharaman, Hamid A Khan, Ameer, Cooper, Jackie, Simon, Judit, Maurovich-Horvat, Pal, Bajaj, Retesh, Kitslaar, Pieter, Amersey, Rajiv, Jain, Ajay, Deaner, Andrew, Reiber, Johan HC., Moon, James C., Dijkstra, Jouke, Serruys, Patrick W., Mathur, Anthony, Baumbach, Andreas, Torii, Ryo, Pugliese, Francesca, and Bourantas, Christos V.
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- 2023
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34. The effect of patient and imaging characteristics on coronary CT angiography assessed pericoronary adipose tissue attenuation and gradient
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Boussoussou, Melinda, Vattay, Borbála, Szilveszter, Bálint, Simon, Judit, Lin, Andrew, Vecsey-Nagy, Milán, Konkoly, Gábor, Merkely, Béla, Maurovich-Horvat, Pál, Dey, Damini, and Kolossváry, Márton
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- 2023
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35. The effect of left atrial wall thickness and pulmonary vein sizes on the acute procedural success of atrial fibrillation ablation
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Boussoussou, Melinda, Szilveszter, Bálint, Vattay, Borbála, Kolossváry, Márton, Vecsey-Nagy, Milán, Salló, Zoltán, Orbán, Gábor, Péter, Perge, Katalin, Piros, Vivien, Nagy Klaudia, István, Osztheimer, Maurovich-Horvat, Pál, Merkely, Béla, Gellér, László, and Szegedi, Nándor
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- 2022
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36. Latent Coronary Plaque Morphology From Computed Tomography Angiography, Molecular Disease Activity on Positron Emission Tomography, and Clinical Outcomes
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Kwiecinski, Jacek, Kolossváry, Márton, Tzolos, Evangelos, Meah, Mohammed N., Adamson, Philip D., Joshi, Nikhil V., Williams, Michelle C., van Beek, Edwin J.R., Berman, Daniel S., Maurovich-Horvat, Pál, Newby, David E., Dweck, Marc R., Dey, Damini, and Slomka, Piotr J.
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- 2023
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37. Coronary CT angiography interpretation and reporting
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Szilveszter, Bálint, additional, Celeng, Csilla, additional, Takx, Richard, additional, and Maurovich-Horvat, Pál, additional
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- 2022
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38. Constructing custom-made radiotranscriptomic signatures of vascular inflammation from routine CT angiograms: a prospective outcomes validation study in COVID-19
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Ahern, David J, Ai, Zhichao, Ainsworth, Mark, Allan, Chris, Allcock, Alice, Angus, Brian, Ansari, M Azim, Arancibia-Cárcamo, Carolina, Aschenbrenner, Dominik, Attar, Moustafa, Baillie, J Kenneth, Barnes, Eleanor, Bashford-Rogers, Rachael, Bashyal, Archana, Beer, Sally, Berridge, Georgina, Beveridge, Amy, Bibi, Sagida, Bicanic, Tihana, Blackwell, Luke, Bowness, Paul, Brent, Andrew, Brown, Andrew, Broxholme, John, Buck, David, Burnham, Katie, Byrne, Helen, Camara, Susana, Ferreira, Ivan Candido, Charles, Philip, Chen, Wentao, Chen, Yi-Ling, Chong, Amanda, Clutterbuck, Elizabeth, Coles, Mark, Conlon, Christopher, Cornall, Richard, Cribbs, Adam, Curion, Fabiola, Davenport, Emma, Davidson, Neil, Davis, Simon, Dendrou, Calliope, Dequaire, Julie, Dib, Lea, Docker, James, Dold, Christina, Dong, Tao, Downes, Damien, Drakesmith, Hal, Dunachie, Susanna, Duncan, David, Eijsbouts, Chris, Esnouf, Robert, Espinosa, Alexis, Etherington, Rachel, Fairfax, Benjamin, Fairhead, Rory, Fang, Hai, Fassih, Shayan, Felle, Sally, Fernandez Mendoza, Maria, Ferreira, Ricardo, Fischer, Roman, Foord, Thomas, Forrow, Aden, Frater, John, Fries, Anastasia, Gallardo Sanchez, Veronica, Garner, Lucy, Geeves, Clementine, Georgiou, Dominique, Godfrey, Leila, Golubchik, Tanya, Gomez Vazquez, Maria, Green, Angie, Harper, Hong, Harrington, Heather, Heilig, Raphael, Hester, Svenja, Hill, Jennifer, Hinds, Charles, Hird, Clare, Ho, Ling-Pei, Hoekzema, Renee, Hollis, Benjamin, Hughes, Jim, Hutton, Paula, Jackson-Wood, Matthew, Jainarayanan, Ashwin, James-Bott, Anna, Jansen, Kathrin, Jeffery, Katie, Jones, Elizabeth, Jostins, Luke, Kerr, Georgina, Kim, David, Klenerman, Paul, Knight, Julian, Kumar, Vinod, Kumar Sharma, Piyush, Kurupati, Prathiba, Kwok, Andrew, Lee, Angela, Linder, Aline, Lockett, Teresa, Lonie, Lorne, Lopopolo, Maria, Lukoseviciute, Martyna, Luo, Jian, Marinou, Spyridoula, Marsden, Brian, Martinez, Jose, Matthews, Philippa, Mazurczyk, Michalina, McGowan, Simon, McKechnie, Stuart, Mead, Adam, Mentzer, Alexander, Mi, Yuxin, Monaco, Claudia, Montadon, Ruddy, Napolitani, Giorgio, Nassiri, Isar, Novak, Alex, O'Brien, Darragh, O'Connor, Daniel, O'Donnell, Denise, Ogg, Graham, Overend, Lauren, Park, Inhye, Pavord, Ian, Peng, Yanchun, Penkava, Frank, Pereira Pinho, Mariana, Perez, Elena, Pollard, Andrew, Powrie, Fiona, Psaila, Bethan, Quan, T Phuong, Repapi, Emmanouela, Revale, Santiago, Silva-Reyes, Laura, Richard, Jean-Baptiste, Rich-Griffin, Charlotte, Ritter, Thomas, Rollier, Christine, Rowland, Matthew, Ruehle, Fabian, Salio, Mariolina, Sansom, Stephen Nicholas, Sanches Peres, Raphael, Santos Delgado, Alberto, Sauka-Spengler, Tatjana, Schwessinger, Ron, Scozzafava, Giuseppe, Screaton, Gavin, Seigal, Anna, Semple, Malcolm, Sergeant, Martin, Simoglou Karali, Christina, Sims, David, Skelly, Donal, Slawinski, Hubert, Sobrinodiaz, Alberto, Sousos, Nikolaos, Stafford, Lizzie, Stockdale, Lisa, Strickland, Marie, Sumray, Otto, Sun, Bo, Taylor, Chelsea, Taylor, Stephen, Taylor, Adan, Thongjuea, Supat, Thraves, Hannah, Todd, John, Tomic, Adriana, Tong, Orion, Trebes, Amy, Trzupek, Dominik, Tucci, Felicia Anna, Turtle, Lance, Udalova, Irina, Uhlig, Holm, van Grinsven, Erinke, Vendrell, Iolanda, Verheul, Marije, Voda, Alexandru, Wang, Guanlin, Wang, Lihui, Wang, Dapeng, Watkinson, Peter, Watson, Robert, Weinberger, Michael, Whalley, Justin, Witty, Lorna, Wray, Katherine, Xue, Luzheng, Yuen Yeung, Hing, Yin, Zixi, Young, Rebecca, Youngs, Jonathan, Zhang, Ping, Zurke, Yasemin-Xiomara, Banning, Adrian, Antonopoulos, Alexios, Bajaj, Amrita, Kelion, Andrew, Deshpande, Aparna, Kardos, Attila, Hudson, Benjamin, Koo, Bon-Kwon, Shirodaria, Cheerag, Xie, Cheng, Kotanidis, Christos, Mahon, Ciara, Berry, Colin, Adlam, David, Newby, David, Connolly, Derek, Scaletta, Diane, Alexander, Donna, Nicol, Ed, McAlindon, Elisa, Oikonomou, Evangelos, Pugliese, Francesca, Pontone, Gianluca, Benedetti, Giulia, He, Guo-Wei, West, Henry, Kondo, Hidekazu, Benedek, Imre, Das, Intrajeet, Deanfield, John, Graby, John, Greenwood, John, Rodrigues, Jonathan, Ge, Junbo, Channon, Keith, Fabritz, Larissa, Fan, Li-Juan, Kingham, Lucy, Guglielmo, Marco, Lyasheva, Maria, Schmitt, Matthias, Beer, Meinrad, Anderson, Michelle, Desai, Milind, Marwan, Mohamed, Takahashi, Naohiko, Mehta, Nehal, Dai, Neng, Screaton, Nicholas, Sabharwal, Nikant, Maurovich-Horvat, Pál, Rao, Praveen, Kotronias, Rafail, Kharbanda, Rajesh, Preston, Rebecca, Wood, Richard, Blankstein, Ron, Rajani, Ronak, Mirsadraee, Saeed, Munir, Shahzad, Thomas, Sheena, Neubauer, Stefan, Klömpken, Steffen, Petersen, Steffen, Achenbach, Stephan, Anthony, Susan, Mak, Sze, Mittal, Tarun, Benedek, Theodora, Sharma, Vinoda, Lin, Wen-Hua, Kotanidis, Christos P, Rodrigues, Jonathan C L, O’Connor, Daniel, Siddique, Muhammad, Lockstone, Helen, Oikonomou, Evangelos K, Badi, Ileana, Lumley, Sheila F, Constantinides, Bede, Sanderson, Nicholas, Rodger, Gillian, Chau, Kevin K, Lodge, Archie, Tsakok, Maria, Gleeson, Fergus, Indrajeet, Das, Hudson, Benjamin J, Srivastava, Vivek, Farid, Shakil, Krasopoulos, George, Sayeed, Rana, Newby, David E, Channon, Keith M, and Antoniades, Charalambos
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- 2022
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39. Cyclothymic affective temperament is independently associated with left ventricular hypertrophy in chronic hypertensive patients
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Vecsey-Nagy, Milán, Szilveszter, Bálint, Kolossváry, Márton, Boussoussou, Melinda, Vattay, Borbála, Gonda, Xenia, Rihmer, Zoltán, Merkely, Béla, Maurovich-Horvat, Pál, and Nemcsik, János
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- 2022
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40. Debates in cardiac CT: Coronary CT angiography is the best test in asymptomatic patients
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Meah, Mohammed N., Maurovich-Horvat, Pál, Williams, Michelle C., and Newby, David E.
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- 2022
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41. Effect of routine preoperative screening for aortic calcifications using noncontrast computed tomography on stroke rate in cardiac surgery: the randomized controlled CRICKET study
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Knol, Wiebe G., Simon, Judit, Den Harder, Annemarie M., Bekker, Margreet W. A., Suyker, Willem J. L., de Heer, Linda M., de Jong, Pim A., Leiner, Tim, Merkely, Béla, Pólos, Miklós, Krestin, Gabriel P., Boersma, Eric, Koudstaal, Peter J., Maurovich-Horvat, Pál, Bogers, Ad J. J. C., and Budde, Ricardo P. J.
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- 2022
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42. Radiomics-Based Precision Phenotyping Identifies Unstable Coronary Plaques From Computed Tomography Angiography
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Lin, Andrew, Kolossváry, Márton, Cadet, Sebastien, McElhinney, Priscilla, Goeller, Markus, Han, Donghee, Yuvaraj, Jeremy, Nerlekar, Nitesh, Slomka, Piotr J., Marwan, Mohamed, Nicholls, Stephen J., Achenbach, Stephan, Maurovich-Horvat, Pál, Wong, Dennis T.L., and Dey, Damini
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- 2022
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43. Inflammatory risk and cardiovascular events in patients without obstructive coronary artery disease: the ORFAN multicentre, longitudinal cohort study
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Chan, Kenneth, primary, Wahome, Elizabeth, additional, Tsiachristas, Apostolos, additional, Antonopoulos, Alexios S, additional, Patel, Parijat, additional, Lyasheva, Maria, additional, Kingham, Lucy, additional, West, Henry, additional, Oikonomou, Evangelos K, additional, Volpe, Lucrezia, additional, Mavrogiannis, Michail C, additional, Nicol, Edward, additional, Mittal, Tarun K, additional, Halborg, Thomas, additional, Kotronias, Rafail A, additional, Adlam, David, additional, Modi, Bhavik, additional, Rodrigues, Jonathan, additional, Screaton, Nicholas, additional, Kardos, Attila, additional, Greenwood, John P, additional, Sabharwal, Nikant, additional, De Maria, Giovanni Luigi, additional, Munir, Shahzad, additional, McAlindon, Elisa, additional, Sohan, Yogesh, additional, Tomlins, Pete, additional, Siddique, Muhammad, additional, Kelion, Andrew, additional, Shirodaria, Cheerag, additional, Pugliese, Francesca, additional, Petersen, Steffen E, additional, Blankstein, Ron, additional, Desai, Milind, additional, Gersh, Bernard J, additional, Achenbach, Stephan, additional, Libby, Peter, additional, Neubauer, Stefan, additional, Channon, Keith M, additional, Deanfield, John, additional, Antoniades, Charalambos, additional, Thomas, Sheena, additional, Denton, Jon, additional, Farral, Robyn, additional, Taylor, Carolyn, additional, Qin, Wendy, additional, Kasongo, Mary, additional, Anthony, Susan, additional, Banning, Adrian, additional, Xie, Cheng, additional, Kharbanda, Rajesh K, additional, Pritchard, Amy, additional, Syed, Nigar, additional, Fry, Sam, additional, Mathers, Chris, additional, Rose, Anne, additional, Hudson, George, additional, Bajaj, Amrita, additional, Das, Intrajeet, additional, Deshpande, Aparna, additional, Rao, Praveen, additional, Lawday, Dan, additional, Mirsadraee, Saeed, additional, Hudson, Benjamin, additional, Berry, Colin, additional, Marwan, Mohamed, additional, Maurovich-Horvat, Pál, additional, He, Guo-Wei, additional, Lin, Wen-Hua, additional, Fan, Li-Juan, additional, Takahashi, Naohiko, additional, Kondo, Hidekazu, additional, Dai, Neng, additional, Ge, Junbo, additional, Koo, Bon-Kwon, additional, Guglielmo, Marco, additional, Pontone, Gianluca, additional, Huck, Daniel, additional, Benedek, Theodora, additional, Rajani, Ronak, additional, Vilic, Dijana, additional, Aljazzaf, Haleema, additional, Mun, Mak S, additional, Benedetti, Giulia, additional, Preston, Rebecca L, additional, Raisi-Estabragh, Zahra, additional, Connolly, Derek L, additional, Sharma, Vinoda, additional, Grenfell, Rebecca, additional, Bradlow, William, additional, Schmitt, Matthias, additional, Serfaty, Fabiano, additional, Gottlieb, Ilan, additional, Neves, Mario FT, additional, Newby, David E, additional, Dweck, Marc R, additional, Hatem, Stéphane, additional, Redheuil, Alban, additional, Benetos, Georgios, additional, Beer, Meinrad, additional, Granillo, Gastón AR, additional, Selvanayagam, Joseph, additional, Lopez-Jimenez, Francisco, additional, De Bosscher, Ruben, additional, Tavildari, Alain, additional, Figtree, Gemma, additional, Danad, Ibrahim, additional, Shantouf, Ronney, additional, Kietselaer, Bas, additional, Tousoulis, Dimitris, additional, Dangas, George, additional, Mehta, Nehal N, additional, Kontanidis, Christos, additional, Kunadian, Vijay, additional, and Fairbairn, Timothy A, additional
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- 2024
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44. Diet and Lifestyle Intervention-Induced Pattern of Weight Loss Related to Reduction in Low-Attenuation Coronary Plaque Burden
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Henzel, Jan, primary, Kruk, Mariusz, additional, Kępka, Cezary, additional, Makarewicz-Wujec, Magdalena, additional, Wardziak, Łukasz, additional, Trochimiuk, Piotr, additional, Krysztofiak, Hubert, additional, Dąbrowski, Rafał, additional, Dzielińska, Zofia, additional, Maurovich-Horvat, Pál, additional, and Demkow, Marcin, additional
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- 2024
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45. Artificial intelligence in cardiovascular CT: Current status and future implications
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Lin, Andrew, Kolossváry, Márton, Motwani, Manish, Išgum, Ivana, Maurovich-Horvat, Pál, Slomka, Piotr J., and Dey, Damini
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- 2021
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46. Impact of COVID-19 Pandemic on Cardiovascular Testing in Asia: The IAEA INCAPS-COVID Study
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Einstein, Andrew J., Paez, Diana, Dondi, Maurizio, Better, Nathan, Cerci, Rodrigo, Dorbala, Sharmila, Pascual, Thomas N.B., Raggi, Paolo, Shaw, Leslee J., Villines, Todd C., Vitola, Joao V., Williams, Michelle C., Pynda, Yaroslav, Hinterleitner, Gerd, Lu, Yao, Morozova, Olga, Xu, Zhuoran, Hirschfeld, Cole B., Cohen, Yosef, Goebel, Benjamin, Malkovskiy, Eli, Randazzo, Michael, Choi, Andrew, Lopez-Mattei, Juan, Parwani, Purvi, Nasery, Mohammad Nawaz, Goda, Artan, Shirka, Ervina, Benlabgaa, Rabie, Bouyoucef, Salah, Medjahedi, Abdelkader, Nailli, Qais, Agolti, Mariela, Aguero, Roberto Nicolas, Alak, Maria del Carmen, Alberguina, Lucia Graciela, Arroñada, Guillermo, Astesiano, Andrea, Astesiano, Alfredo, Norton, Carolina Bas, Benteo, Pablo, Blanco, Juan, Bonelli, Juan Manuel, Bustos, Jose Javier, Cabrejas, Raul, Cachero, Jorge, Campisi, Roxana, Canderoli, Alejandro, Carames, Silvia, Carrascosa, Patrícia, Castro, Ricardo, Cendoya, Oscar, Cognigni, Luciano Martin, Collaud, Carlos, Cortes, Claudia, Courtis, Javier, Cragnolino, Daniel, Daicz, Mariana, De La Vega, Alejandro, De Maria, Silvia Teresa, Del Riego, Horacio, Dettori, Fernando, Deviggiano, Alejandro, Dragonetti, Laura, Embon, Mario, Enriquez, Ruben Emilio, Ensinas, Jorge, Faccio, Fernando, Facello, Adolfo, Garofalo, Diego, Geronazzo, Ricardo, Gonza, Natalia, Gutierrez, Lucas, Guzzo, Miguel Angel, Hasbani, Victor, Huerin, Melina, Jäger, Victor, Lewkowicz, Julio Manuel, López De Munaín, Maria Nieves A., Lotti, Jose Maria, Marquez, Alejandra, Masoli, Osvaldo, Masoli, Osvaldo Horacio, Mastrovito, Edgardo, Mayoraz, Matias, Melado, Graciela Eva, Mele, Anibal, Merani, Maria Fernanda, Meretta, Alejandro Horacio, Molteni, Susana, Montecinos, Marcos, Noguera, Eduardo, Novoa, Carlos, Sueldo, Claudio Pereyra, Ascani, Sebastian Perez, Pollono, Pablo, Pujol, Maria Paula, Radzinschi, Alejandro, Raimondi, Gustavo, Redruello, Marcela, Rodríguez, Marina, Rodríguez, Matías, Romero, Romina Lorena, Acuña, Arturo Romero, Rovaletti, Federico, San Miguel, Lucas, Solari, Lucrecia, Strada, Bruno, Traverso, Sonia, Traverzo, Sonia Simona, Espeche, Maria del Huerto Velazquez, Weihmuller, Juan Sebastian, Wolcan, Juan, Zeffiro, Susana, Sakanyan, Mari, Beuzeville, Scott, Boktor, Raef, Butler, Patrick, Calcott, Jennifer, Carr, Loretta, Chan, Virgil, Chao, Charles, Chong, Woon, Dobson, Mark, Downie, D'Arne, Dwivedi, Girish, Elison, Barry, Engela, Jean, Francis, Roslyn, Gaikwad, Anand, Basavaraj, Ashok Gangasandra, Goodwin, Bruce, Greenough, Robert, Hamilton-Craig, Christian, Hsieh, Victar, Joshi, Subodh, Lederer, Karin, Lee, Kenneth, Lee, Joseph, Magnussen, John, Mai, Nghi, Mander, Gordon, Murton, Fiona, Nandurkar, Dee, Neill, Johanne, O'Rourke, Edward, O'Sullivan, Patricia, Pandos, George, Pathmaraj, Kunthi, Pitman, Alexander, Poulter, Rohan, Premaratne, Manuja, Prior, David, Ridley, Lloyd, Rutherford, Natalie, Salehi, Hamid, Saunders, Connor, Scarlett, Luke, Seneviratne, Sujith, Shetty, Deepa, Shrestha, Ganesh, Shulman, Jonathan, Solanki, Vijay, Stanton, Tony, Stuart, Murch, Stubbs, Michael, Swainson, Ian, Taubman, Kim, Taylor, Andrew, Thomas, Paul, Unger, Steven, Upton, Anthony, Vamadevan, Shankar, Van Gaal, William, Verjans, Johan, Voutnis, Demetrius, Wayne, Victor, Wilson, Peter, Wong, David, Wong, Kirby, Younger, John, Feuchtner, Gudrun, Mirzaei, Siroos, Weiss, Konrad, Maroz-Vadalazhskaya, Natallia, Gheysens, Olivier, Homans, Filip, Moreno-Reyes, Rodrigo, Pasquet, Agnès, Roelants, Veronique, Van De Heyning, Caroline M., Ríos, Raúl Araujo, Soldat-Stankovic, Valentina, Stankovic, Sinisa, Albernaz Siqueira, Maria Helena, Almeida, Augusto, Alves Togni, Paulo Henrique, Andrade, Jose Henrique, Andrade, Luciana, Anselmi, Carlos, Araújo, Roberta, Azevedo, Guilherme, Bezerra, Sabbrina, Biancardi, Rodrigo, Grossman, Gabriel Blacher, Brandão, Simone, Pianta, Diego Bromfman, Carreira, Lara, Castro, Bruno, Chang, Tien, Cunali, Fernando, Jr., Cury, Roberto, Dantas, Roberto, de Amorim Fernandes, Fernando, De Lorenzo, Andrea, De Macedo Filho, Robson, Erthal, Fernanda, Fernandes, Fabio, Fernandes, Juliano, De Souza, Thiago Ferreira, Alves, Wilson Furlan, Ghini, Bruno, Goncalves, Luiz, Gottlieb, Ilan, Hadlich, Marcelo, Kameoka, Vinícius, Lima, Ronaldo, Lima, Adna, Lopes, Rafael Willain, Machado e Silva, Ricardo, Magalhães, Tiago, Silva, Fábio Martins, Mastrocola, Luiz Eduardo, Medeiros, Fábio, Meneghetti, José Claudio, Naue, Vania, Naves, Danilo, Nolasco, Roberto, Nomura, Cesar, Oliveira, Joao Bruno, Paixao, Eduardo, De Carvalho, Filipe Penna, Pinto, Ibraim, Possetti, Priscila, Quinta, Mayra, Nogueira Ramos, Rodrigo Rizzo, Rocha, Ricardo, Rodrigues, Alfredo, Rodrigues, Carlos, Romantini, Leila, Sanches, Adelina, Santana, Sara, Sara da Silva, Leonardo, Schvartzman, Paulo, Matushita, Cristina Sebastião, Senra, Tiago, Shiozaki, Afonso, Menezes de Siqueira, Maria Eduarda, Siqueira, Cristiano, Smanio, Paola, Soares, Carlos Eduardo, Junior, José Soares, Bittencourt, Marcio Sommer, Spiro, Bernardo, Mesquita, Cláudio Tinoco, Torreao, Jorge, Torres, Rafael, Uellendahl, Marly, Monte, Guilherme Urpia, Veríssimo, Otávia, Cabeda, Estevan Vieira, Pedras, Felipe Villela, Waltrick, Roberto, Zapparoli, Marcello, Naseer, Hamid, Garcheva-Tsacheva, Marina, Kostadinova, Irena, Theng, Youdaline, Abikhzer, Gad, Barette, Rene, Chow, Benjamin, Dabreo, Dominique, Friedrich, Matthias, Garg, Ria, Hafez, Mohammed Nassoh, Johnson, Chris, Kiess, Marla, Leipsic, Jonathon, Leung, Eugene, Miller, Robert, Oikonomou, Anastasia, Probst, Stephan, Roifman, Idan, Small, Gary, Tandon, Vikas, Trivedi, Adwait, White, James, Zukotynski, Katherine, Canessa, Jose, Muñoz, Gabriel Castro, Concha, Carmen, Hidalgo, Pablo, Lovera, Cesar, Massardo, Teresa, Vargas, Luis Salazar, Abad, Pedro, Arturo, Harold, Ayala, Sandra, Benitez, Luis, Cadena, Alberto, Caicedo, Carlos, Moncayo, Antonio Calderón, Gomez, Sharon, Gutierrez Villamil, Claudia T., Jaimes, Claudia, Londoño, Juan, Londoño Blair, Juan Luis, Pabon, Luz, Pineda, Mauricio, Rojas, Juan Carlos, Ruiz, Diego, Escobar, Manuel Valencia, Vasquez, Andres, Vergel, Damiana, Zuluaga, Alejandro, Gamboa, Isabel Berrocal, Castro, Gabriel, González, Ulises, Baric, Ana, Batinic, Tonci, Franceschi, Maja, Paar, Maja Hrabak, Jukic, Mladen, Medakovic, Petar, Persic, Viktor, Prpic, Marina, Punda, Ante, Batista, Juan Felipe, Gómez Lauchy, Juan Manuel, Gutierrez, Yamile Marcos, Menéndez, Rayner, Peix, Amalia, Rochela, Luis, Panagidis, Christoforos, Petrou, Ioannis, Engelmann, Vaclav, Kaminek, Milan, Kincl, Vladimír, Lang, Otto, Simanek, Milan, Abdulla, Jawdat, Bøttcher, Morten, Christensen, Mette, Gormsen, Lars Christian, Hasbak, Philip, Hess, Søren, Holdgaard, Paw, Johansen, Allan, Kyhl, Kasper, Norgaard, Bjarne Linde, Øvrehus, Kristian Altern, Rønnow Sand, Niels Peter, Steffensen, Rolf, Thomassen, Anders, Zerahn, Bo, Perez, Alfredo, Escorza Velez, Giovanni Alejandro, Velez, Mayra Sanchez, Abdel Aziz, Islam Shawky, Abougabal, Mahasen, Ahmed, Taghreed, Allam, Adel, Asfour, Ahmed, Hassan, Mona, Hassan, Alia, Ibrahim, Ahmed, Kaffas, Sameh, Kandeel, Ahmed, Ali, Mohamed Mandour, Mansy, Ahmad, Maurice, Hany, Nabil, Sherif, Shaaban, Mahmoud, Flores, Ana Camila, Poksi, Anne, Knuuti, Juhani, Kokkonen, Velipekka, Larikka, Martti, Uusitalo, Valtteri, Bailly, Matthieu, Burg, Samuel, Deux, Jean-François, Habouzit, Vincent, Hyafil, Fabien, Lairez, Olivier, Proffit, Franck, Regaieg, Hamza, Sarda-Mantel, Laure, Tacher, Vania, Schneider, Roman P., Ayetey, Harold, Angelidis, George, Archontaki, Aikaterini, Chatziioannou, Sofia, Datseris, Ioannis, Fragkaki, Christina, Georgoulias, Panagiotis, Koukouraki, Sophia, Koutelou, Maria, Kyrozi, Eleni, Repasos, Evangelos, Stavrou, Petros, Valsamaki, Pipitsa, Gonzalez, Carla, Gutierrez, Goleat, Maldonado, Alejandro, Buga, Klara, Garai, Ildiko, Maurovich-Horvat, Pál, Schmidt, Erzsébet, Szilveszter, Balint, Várady, Edit, Banthia, Nilesh, Bhagat, Jinendra Kumar, Bhargava, Rishi, Bhat, Vivek, Bhatia, Mona, Choudhury, Partha, Chowdekar, Vijay Sai, Irodi, Aparna, Jain, Shashank, Joseph, Elizabeth, Kumar, Sukriti, Girijanandan Mahapatra, Prof Dr, Mitra, Deepanjan, Mittal, Bhagwant Rai, Ozair, Ahmad, Patel, Chetan, Patel, Tapan, Patel, Ravi, Patel, Shivani, Saxena, Sudhir, Sengupta, Shantanu, Singh, Santosh, Singh, Bhanupriya, Sood, Ashwani, Verma, Atul, Affandi, Erwin, Alam, Padma Savenadia, Edison, Edison, Gunawan, Gani, Hapkido, Habusari, Hidayat, Basuki, Huda, Aulia, Mukti, Anggoro Praja, Prawiro, Djoko, Soeriadi, Erwin Affandi, Syawaluddin, Hilman, Albadr, Amjed, Assadi, Majid, Emami, Farshad, Houshmand, Golnaz, Maleki, Majid, Rostami, Maryam Tajik, Zakavi, Seyed Rasoul, Zaid, Eed Abu, Agranovich, Svetlana, Arnson, Yoav, Bar-Shalom, Rachel, Frenkel, Alex, Knafo, Galit, Lugassi, Rachel, Maor Moalem, Israel Shlomo, Mor, Maya, Muskal, Noam, Ranser, Sara, Shalev, Aryeh, Albano, Domenico, Alongi, Pierpaolo, Arnone, Gaspare, Bagatin, Elisa, Baldari, Sergio, Bauckneht, Matteo, Bertelli, Paolo, Bianco, Francesco, Bonfiglioli, Rachele, Boni, Roberto, Bruno, Andrea, Bruno, Isabella, Busnardo, Elena, Califaretti, Elena, Camoni, Luca, Carnevale, Aldo, Casoni, Roberta, Cavallo, Armando Ugo, Cavenaghi, Giorgio, Chierichetti, Franca, Chiocchi, Marcello, Cittanti, Corrado, Colletta, Mauro, Conti, Umberto, Cossu, Alberto, Cuocolo, Alberto, Cuzzocrea, Marco, De Rimini, Maria Luisa, De Vincentis, Giuseppe, Del Giudice, Eleonora, Del Torto, Alberico, Della Tommasina, Veronica, Durmo, Rexhep, Erba, Paola Anna, Evangelista, Laura, Faletti, Riccardo, Faragasso, Evelina, Farsad, Mohsen, Ferro, Paola, Florimonte, Luigia, Frantellizzi, Viviana, Fringuelli, Fabio Massimo, Gatti, Marco, Gaudiano, Angela, Gimelli, Alessia, Giubbini, Raffaele, Giuffrida, Francesca, Ialuna, Salvatore, Laudicella, Riccardo, Leccisotti, Lucia, Leva, Lucia, Liga, Riccardo, Liguori, Carlo, Longo, Giampiero, Maffione, Margherita, Mancini, Maria Elisabetta, Marcassa, Claudio, Milan, Elisa, Nardi, Barbara, Pacella, Sara, Pepe, Giovanna, Pontone, Gianluca, Pulizzi, Sabina, Quartuccio, Natale, Rampin, Lucia, Ricci, Fabrizio, Rossini, Pierluigi, Rubini, Giuseppe, Russo, Vincenzo, Sacchetti, Gian Mauro, Sambuceti, Gianmario, Scarano, Massimo, Sciagrà, Roberto, Sperandio, Massimiliano, Stefanelli, Antonella, Ventroni, Guido, Zoboli, Stefania, Baugh, Dainia, Chambers, Duane, Madu, Ernest, Nunura, Felix, Asano, Hiroshi, Chimura, Chimura Misato, Fujimoto, Shinichiro, Fujisue, Koichiro, Fukunaga, Tomohisa, Fukushima, Yoshimitsu, Fukuyama, Kae, Hashimoto, Jun, Ichikawa, Yasutaka, Iguchi, Nobuo, Imai, Masamichi, Inaki, Anri, Ishimura, Hayato, Isobe, Satoshi, Kadokami, Toshiaki, Kato, Takao, Kudo, Takashi, Kumita, Shinichiro, Maruno, Hirotaka, Mataki, Hiroyuki, Miyagawa, Masao, Morimoto, Ryota, Moroi, Masao, Nagamachi, Shigeki, Nakajima, Kenichi, Nakata, Tomoaki, Nakazato, Ryo, Nanasato, Mamoru, Naya, Masanao, Norikane, Takashi, Ohta, Yasutoshi, Okayama, Satoshi, Okizaki, Atsutaka, Otomi, Yoichi, Otsuka, Hideki, Saito, Masaki, Sakata, Sakata Yasushi, Sarai, Masayoshi, Sato, Daisuke, Shiraishi, Shinya, Suwa, Yoshinobu, Takanami, Kentaro, Takehana, Kazuya, Taki, Junichi, Tamaki, Nagara, Taniguchi, Yasuyo, Teragawa, Hiroki, Tomizawa, Nobuo, Tsujita, Kenichi, Umeji, Kyoko, Wakabayashi, Yasushi, Yamada, Shinichiro, Yamazaki, Shinya, Yoneyama, Tatsuya, Rawashdeh, Mohammad, Batyrkhanov, Daultai, Dautov, Tairkhan, Makhdomi, Khalid, Ombati, Kevin, Alkandari, Faridah, Garashi, Masoud, Coie, Tchoyoson Lim, Rajvong, Sonexay, Kalinin, Artem, Kalnina, Marika, Haidar, Mohamad, Komiagiene, Renata, Kviecinskiene, Giedre, Mataciunas, Mindaugas, Vajauskas, Donatas, Picard, Christian, Karim, Noor Khairiah A., Reichmuth, Luise, Samuel, Anthony, Allarakha, Mohammad Aaftaab, Naojee, Ambedhkar Shantaram, Alexanderson-Rosas, Erick, Barragan, Erika, González-Montecinos, Alejandro Becerril, Cabada, Manuel, Rodriguez, Daniel Calderon, Carvajal-Juarez, Isabel, Cortés, Violeta, Cortés, Filiberto, De La Peña, Erasmo, Gama-Moreno, Manlio, González, Luis, Ramírez, Nelsy Gonzalez, Jiménez-Santos, Moisés, Matos, Luis, Monroy, Edgar, Morelos, Martha, Ornelas, Mario, Ortga Ramirez, Jose Alberto, Preciado-Anaya, Andrés, Preciado-Gutiérrez, Óscar Ulises, Barragan, Adriana Puente, Rosales Uvera, Sandra Graciela, Sandoval, Sigelinda, Tomas, Miguel Santaularia, Sierra-Galan, Lilia M., Siu, Silvia, Vallejo, Enrique, Valles, Mario, Faraggi, Marc, Sereegotov, Erdenechimeg, Ilic, Srdja, Ben-Rais, Nozha, Alaoui, Nadia Ismaili, Taleb, Sara, Pa Myo, Khin Pa, Thu, Phyo Si, Ghimire, Ram Kumar, Rajbanshi, Bijoy, Barneveld, Peter, Glaudemans, Andor, Habets, Jesse, Koopmans, Klaas Pieter, Manders, Jeroen, Pool, Stefan, Scholte, Arthur, Scholtens, Asbjørn, Slart, Riemer, Thimister, Paul, Van Asperen, Erik-Jan, Veltman, Niels, Verschure, Derk, Wagenaar, Nils, Edmond, John, Ellis, Chris, Johnson, Kerryanne, Keenan, Ross, Kueh, Shaw Hua (Anthony), Occleshaw, Christopher, Sasse, Alexander, To, Andrew, Van Pelt, Niels, Young, Calum, Cuadra, Teresa, Roque Vanegas, Hector Bladimir, Soli, Idrissa Adamou, Issoufou, Djibrillou Moussa, Ayodele, Tolulope, Madu, Chibuzo, Onimode, Yetunde, Efros-Monsen, Elen, Forsdahl, Signe Helene, Hildre Dimmen, Jenni-Mari, Jørgensen, Arve, Krohn, Isabel, Løvhaugen, Pål, Bråten, Anders Tjellaug, Al Dhuhli, Humoud, Al Kindi, Faiza, Al-Bulushi, Naeema, Jawa, Zabah, Tag, Naima, Afzal, Muhammad Shehzad, Fatima, Shazia, Younis, Muhammad Numair, Riaz, Musab, Saadullah, Mohammad, Herrera, Yariela, Lenturut-Katal, Dora, Vázquez, Manuel Castillo, Ortellado, José, Akhter, Afroza, Cao, Dianbo, Cheung, Stephen, Dai, Xu, Gong, Lianggeng, Han, Dan, Hou, Yang, Li, Caiying, Li, Tao, Li, Dong, Li, Sijin, Liu, Jinkang, Liu, Hui, Lu, Bin, Ng, Ming Yen, Sun, Kai, Tang, Gongshun, Wang, Jian, Wang, Ximing, Wang, Zhao-Qian, Wang, Yining, Wang, Yifan, Wu, Jiang, Wu, Zhifang, Xia, Liming, Xiao, Jiangxi, Xu, Lei, Yang, Youyou, Yin, Wu, Yu, Jianqun, Yuan, Li, Zhang, Tong, Zhang, Longjiang, Zhang, Yong-Gao, Zhang, Xiaoli, Zhu, Li, Alfaro, Ana, Abrihan, Paz, Barroso, Asela, Cruz, Eric, Gomez, Marie Rhiamar, Magboo, Vincent Peter, Medina, John Michael, Obaldo, Jerry, Pastrana, Davidson, Pawhay, Christian Michael, Quinon, Alvin, Tang, Jeanelle Margareth, Tecson, Bettina, Uson, Kristine Joy, Uy, Mila, Kostkiewicz, Magdalena, Kunikowska, Jolanta, Bettencourt, Nuno, Cantinho, Guilhermina, Ferreira, Antonio, Syed, Ghulam, Arnous, Samer, Atyani, Said, Byrne, Angela, Gleeson, Tadhg, Kerins, David, Meehan, Conor, Murphy, David, Murphy, Mark, Murray, John, O'Brien, Julie, Bang, Ji-In, Bom, Henry, Cho, Sang-Geon, Hong, Chae Moon, Jang, Su Jin, Jeong, Yong Hyu, Kang, Won Jun, Kim, Ji-Young, Lee, Jaetae, Namgung, Chang Kyeong, So, Young, Won, Kyoung Sook, Majstorov, Venjamin, Vavlukis, Marija, Salobir, Barbara Gužic, Štalc, Monika, Benedek, Theodora, Benedek, Imre, Mititelu, Raluca, Stan, Claudiu Adrian, Ansheles, Alexey, Dariy, Olga, Drozdova, Olga, Gagarina, Nina, Gulyaev, Vsevolod Milyevich, Itskovich, Irina, Karalkin, Anatoly, Kokov, Alexander, Migunova, Ekaterina, Pospelov, Viktor, Ryzhkova, Daria, Saifullina, Guzaliya, Sazonova, Svetlana, Sergienko, Vladimir, Shurupova, Irina, Trifonova, Tatjana, Ussov, Wladimir Yurievich, Vakhromeeva, Margarita, Valiullina, Nailya, Zavadovsky, Konstantin, Zhuravlev, Kirill, Alasnag, Mirvat, Okarvi, Subhani, Saranovic, Dragana Sobic, Keng, Felix, Jason See, Jia Hao, Sekar, Ramkumar, Yew, Min Sen, Vondrak, Andrej, Bejai, Shereen, Bennie, George, Bester, Ria, Engelbrecht, Gerrit, Evbuomwan, Osayande, Gongxeka, Harlem, Vuuren, Magritha Jv, Kaplan, Mitchell, Khushica, Purbhoo, Lakhi, Hoosen, Louw, Lizette, Malan, Nico, Milos, Katarina, Modiselle, Moshe, More, Stuart, Naidoo, Mathava, Scholtz, Leonie, Vangu, Mboyo, Aguadé-Bruix, Santiago, Blanco, Isabel, Cabrera, Antonio, Camarero, Alicia, Casáns-Tormo, Irene, Cuellar-Calabria, Hug, Flotats, Albert, Fuentes Cañamero, Maria Eugenia, García, María Elia, Jimenez-Heffernan, Amelia, Leta, Rubén, Diaz, Javier Lopez, Lumbreras, Luis, Marquez-Cabeza, Juan Javier, Martin, Francisco, Martinez de Alegria, Anxo, Medina, Francisco, Canal, Maria Pedrera, Peiro, Virginia, Pubul-Nuñez, Virginia, Rayo Madrid, Juan Ignacio, Rey, Cristina Rodríguez, Perez, Ricardo Ruano, Ruiz, Joaquín, Hernández, Gertrudis Sabatel, Sevilla, Ana, Zeidán, Nahla, Nanayakkara, Damayanthi, Udugama, Chandraguptha, Simonsson, Magnus, Alkadhi, Hatem, Buechel, Ronny Ralf, Burger, Peter, Ceriani, Luca, De Boeck, Bart, Gräni, Christoph, Juillet de Saint Lager Lucas, Alix, Kamani, Christel H., Kawel-Boehm, Nadine, Manka, Robert, Prior, John O., Rominger, Axel, Vallée, Jean-Paul, Khiewvan, Benjapa, Premprabha, Teerapon, Thientunyakit, Tanyaluck, Sellem, Ali, Kir, Kemal Metin, Sayman, Haluk, Sebikali, Mugisha Julius, Muyinda, Zerida, Kmetyuk, Yaroslav, Korol, Pavlo, Mykhalchenko, Olena, Pliatsek, Volodymyr, Satyr, Maryna, Albalooshi, Batool, Ahmed Hassan, Mohamed Ismail, Anderson, Jill, Bedi, Punit, Biggans, Thomas, Bularga, Anda, Bull, Russell, Burgul, Rajesh, Carpenter, John-Paul, Coles, Duncan, Cusack, David, Deshpande, Aparna, Dougan, John, Fairbairn, Timothy, Farrugia, Alexia, Gopalan, Deepa, Gummow, Alistair, Ramkumar, Prasad Guntur, Hamilton, Mark, Harbinson, Mark, Hartley, Thomas, Hudson, Benjamin, Joshi, Nikhil, Kay, Michael, Kelion, Andrew, Khokhar, Azhar, Kitt, Jamie, Lee, Ken, Low, Chen, Mak, Sze Mun, Marousa, Ntouskou, Martin, Jon, Mcalindon, Elisa, Menezes, Leon, Morgan-Hughes, Gareth, Moss, Alastair, Murray, Anthony, Nicol, Edward, Patel, Dilip, Peebles, Charles, Pugliese, Francesca, Luis Rodrigues, Jonathan Carl, Rofe, Christopher, Sabharwal, Nikant, Schofield, Rebecca, Semple, Thomas, Sharma, Naveen, Strouhal, Peter, Subedi, Deepak, Topping, William, Tweed, Katharine, Weir-Mccall, Jonathan, Abbara, Suhny, Abbasi, Taimur, Abbott, Brian, Abohashem, Shady, Abramson, Sandra, Al-Abboud, Tarek, Al-Mallah, Mouaz, Almousalli, Omar, Ananthasubramaniam, Karthikeyan, Kumar, Mohan Ashok, Askew, Jeffrey, Attanasio, Lea, Balmer-Swain, Mallory, Bayer, Richard R., Bernheim, Adam, Bhatti, Sabha, Bieging, Erik, Blankstein, Ron, Bloom, Stephen, Blue, Sean, Bluemke, David, Borges, Andressa, Branch, Kelley, Bravo, Paco, Brothers, Jessica, Budoff, Matthew, Bullock-Palmer, Renée, Burandt, Angela, Burke, Floyd W., Bush, Kelvin, Candela, Candace, Capasso, Elizabeth, Cavalcante, Joao, Chang, Donald, Chatterjee, Saurav, Chatzizisis, Yiannis, Cheezum, Michael, Chen, Tiffany, Chen, Jennifer, Chen, Marcus, Clarcq, James, Cordero, Ayreen, Crim, Matthew, Danciu, Sorin, Decter, Bruce, Dhruva, Nimish, Doherty, Neil, Doukky, Rami, Dunbar, Anjori, Duvall, William, Edwards, Rachael, Esquitin, Kerry, Farah, Husam, Fentanes, Emilio, Ferencik, Maros, Fisher, Daniel, Fitzpatrick, Daniel, Foster, Cameron, Fuisz, Tony, Gannon, Michael, Gastner, Lori, Gerson, Myron, Ghoshhajra, Brian, Goldberg, Alan, Goldner, Brian, Gonzalez, Jorge, Gore, Rosco, Gracia-López, Sandra, Hage, Fadi, Haider, Agha, Haider, Sofia, Hamirani, Yasmin, Hassen, Karen, Hatfield, Mallory, Hawkins, Carolyn, Hawthorne, Katie, Heath, Nicholas, Hendel, Robert, Hernandez, Phillip, Hill, Gregory, Horgan, Stephen, Huffman, Jeff, Hurwitz, Lynne, Iskandrian, Ami, Janardhanan, Rajesh, Jellis, Christine, Jerome, Scott, Kalra, Dinesh, Kaviratne, Summanther, Kay, Fernando, Kelly, Faith, Khalique, Omar, Kinkhabwala, Mona, Iii, George Kinzfogl, Kircher, Jacqueline, Kirkbride, Rachael, Kontos, Michael, Kottam, Anupama, Krepp, Joseph, Layer, Jay, Lee, Steven H., Leppo, Jeffrey, Lesser, John, Leung, Steve, Lewin, Howard, Litmanovich, Diana, Liu, Yiyan, Magurany, Kathleen, Markowitz, Jeremy, Marn, Amanda, Matis, Stephen E., Mckenna, Michael, Mcrae, Tony, Mendoza, Fernando, Merhige, Michael, Min, David, Moffitt, Chanan, Moncher, Karen, Moore, Warren, Morayati, Shamil, Morris, Michael, Mossa-Basha, Mahmud, Mrsic, Zorana, Murthy, Venkatesh, Nagpal, Prashant, Napier, Kyle, Nelson, Katarina, Nijjar, Prabhjot, Osman, Medhat, Passen, Edward, 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Joseph, Shah, Samir, Shah, Nishant, Shanbhag, Sujata, Sharma, Gaurav, Shayani, Steven, Shirani, Jamshid, Shivaram, Pushpa, Sigman, Steven, Simon, Mitch, Slim, Ahmad, Smith, David, Smith, Alexandra, Soman, Prem, Sood, Aditya, Srichai-Parsia, Monvadi Barbara, Streeter, James, T, Albert, Tawakol, Ahmed, Thomas, Dustin, Thompson, Randall, Torbet, Tara, Trinidad, Desiree, Ullery, Shawn, Unzek, Samuel, Uretsky, Seth, Vallurupalli, Srikanth, Verma, Vikas, Waller, Alfonso, Wang, Ellen, Ward, Parker, Weissman, Gaby, Wesbey, George, White, Kelly, Winchester, David, Wolinsky, David, Yost, Sandra, Zgaljardic, Michael, Alonso, Omar, Beretta, Mario, Ferrando, Rodolfo, Kapitan, Miguel, Mut, Fernando, Djuraev, Omoa, Rozikhodjaeva, Gulnora, Le Ngoc, Ha, Mai, Son Hong, Nguyen, Xuan Canh, Lahey, Ryan, Henry Bom, Hee-Seung, Fazel, Reza, Karthikeyan, Ganesan, Keng, Felix Y.J., Rubinshtein, Ronen, Cerci, Rodrigo Julio, Vitola, João V., Choi, Andrew D., and Cohen, Yosef A.
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- 2021
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47. The association between accelerated vascular aging and cyclothymic affective temperament in women
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Vecsey-Nagy, Milán, Szilveszter, Bálint, Kolossváry, Márton, Boussoussou, Melinda, Vattay, Borbála, Gonda, Xenia, Rihmer, Zoltán, Merkely, Béla, Maurovich-Horvat, Pál, and Nemcsik, János
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- 2021
- Full Text
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48. Radiomics in Cardiac CT
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Kolossváry, Márton, primary and Maurovich-Horvat, Pál, additional
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- 2022
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49. Effect of vessel wall segmentation on volumetric and radiomic parameters of coronary plaques with adverse characteristics
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Kolossváry, Márton, Jávorszky, Natasa, Karády, Júlia, Vecsey-Nagy, Milán, Dávid, Tamás Zoltán, Simon, Judit, Szilveszter, Bálint, Merkely, Béla, and Maurovich-Horvat, Pál
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- 2021
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50. Epicardial adipose tissue is associated with extent of pneumonia and adverse outcomes in patients with COVID-19
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Grodecki, Kajetan, Lin, Andrew, Razipour, Aryabod, Cadet, Sebastien, McElhinney, Priscilla A., Chan, Cato, Pressman, Barry D., Julien, Peter, Maurovich-Horvat, Pal, Gaibazzi, Nicola, Thakur, Udit, Mancini, Elisabetta, Agalbato, Cecilia, Menè, Robert, Parati, Gianfranco, Cernigliaro, Franco, Nerlekar, Nitesh, Torlasco, Camilla, Pontone, Gianluca, Slomka, Piotr J., and Dey, Damini
- Published
- 2021
- Full Text
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