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Your search keyword '"Samir, Anthony E."' showing total 17 results
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17 results on '"Samir, Anthony E."'

2. Contributors

Author

Aguirre, Aaron D., primary, Al-Mallah, Mouaz H., additional, Al Ani, Jamal, additional, Al’Aref, Subhi J., additional, Altibi, Ahmed M., additional, Axel, Leon, additional, Baggiano, Andrea, additional, Baskaran, Lohendran, additional, Benjamins, Jan-Walter, additional, Brattain, Laura J., additional, Chang, Qi, additional, Cicala, Gloria, additional, Corey, Kristin M., additional, De Freitas, Jessica, additional, Dey, Damini, additional, Elshafeey, Abdallah, additional, Elshazly, Mohamed B., additional, Fusini, Laura, additional, Glicksberg, Benjamin S., additional, Guaricci, Andrea I., additional, Guglielmo, Marco, additional, Han, Donghee, additional, Johnson, Kipp W., additional, Juarez-Orozco, Luis Eduardo, additional, Kachuee, Mohammad, additional, Kansal, Aman, additional, Kashyap, Sehj, additional, Keng, Felix Y.J., additional, Khalaf, Shaden, additional, Khosravi, Pegah, additional, Kovács, Attila, additional, Kumar, Viksit, additional, Lee, Benjamin C., additional, Lin, Andrew, additional, Maurovich-Horvat, Pál, additional, Metaxas, Dimitris N., additional, Mhaimeed, Omar, additional, Miotto, Riccardo, additional, Muscogiuri, Giuseppe, additional, Nazha, Aziz, additional, Pontone, Gianluca, additional, Rabbat, Mark, additional, Rabbat, Mark G., additional, Radakovich, Nathan, additional, Rezaei, Mina, additional, Ricci, Francesca, additional, Samir, Anthony E., additional, Sarrafzadeh, Majid, additional, Senapati, Alpana, additional, Sendak, Mark, additional, Slomka, Piotr J., additional, Tat, Emily, additional, Telfer, Brian A., additional, Tokodi, Márton, additional, van der Harst, Pim, additional, Vasilakes, Jake, additional, Yeung, Ming Wai, additional, Zhang, Rui, additional, and Zhou, Sicheng, additional

Published
2021
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11. Contributors

Author

Agarwal, Abhishek Rajendra, primary, Aguirre, Diego A., additional, Aher, Pritish, additional, Anderson, Stephan W., additional, Asrani, Ashwin, additional, Banerjee, Arpan K., additional, Bennett, William, additional, Berggruen, Senta, additional, Blake, Michael, additional, Brancatelli, Giuseppe, additional, Cai, Wenli, additional, Cantisani, Vito, additional, Carbognin, Giovanni, additional, Catalano, Onofrio, additional, Chew, Michael, additional, Chowdhry, Aqeel Ahmad, additional, Choy, Garry, additional, Colen, Rivka R., additional, Cronin, Carmel, additional, Dachman, Abraham H., additional, D’Ambrosio, Ugo, additional, Desai, Hemali, additional, D’Onofrio, Mirko, additional, Faria, Silvana C., additional, Fibus, Todd, additional, Flores, Efrén J., additional, Frank, Mark, additional, Galluzzo, Anna, additional, Ganesan, Karthik, additional, Garg, Alpa G., additional, Gasparaitis, Arunas E., additional, Gee, Michael S., additional, Ghosh, Sukanya, additional, Grant, Thomas, additional, Graziani, Rossella, additional, Gulati, Kavita, additional, Gupta, Arti, additional, Hahn, Peter F., additional, Hammond, Nancy A., additional, Hanna, Robert, additional, Harri, Peter A., additional, Harris, Gordon J., additional, Hawes, Donald, additional, Pampaloni, Miguel Hernandez, additional, Ho, Mai-Lan, additional, Holalkere, Nagaraj-Setty, additional, Jambhekar, Kedar, additional, Jankharia, Bijal, additional, Jha, Saurabh, additional, Joshi, Akash, additional, Kalva, Sanjeeva P., additional, R., Avinash Kambadakone, additional, Katz, David P., additional, Kesavarapu, Keerthana, additional, Kim, Danny, additional, Kim, Kyoung Won, additional, Kim, Min Ju, additional, Koch, Marie R., additional, Kulkarni, Kirti, additional, Kulkarni, Naveen M., additional, Kurup, A. Nick, additional, Lala, Somesh, additional, Lall, Chandana G., additional, Lenhart, Dipti K., additional, Liu, Bob, additional, Ma, Xiaozhou, additional, Macari, Michael, additional, Manfredi, Riccardo, additional, Marcantonio, Andrea, additional, Marin, Daniele, additional, Martinez, Jaime, additional, Masrani, Deepa, additional, Mazhar, Sameer M., additional, Mazumdar, Vishakha, additional, McDowell, Jennifer, additional, Mittal, Pardeep, additional, Moore, Michael, additional, Morana, Giovanni, additional, Morani, Ajaykumar, additional, Motton, Massimiliano, additional, Narin, Ozden, additional, Narra, Vamsidhar R., additional, Nikolaidis, Paul, additional, Oto, Aytekin, additional, Pandey, Tarun, additional, Panek, Ralph C., additional, Patton, Heather M., additional, Johnston, Rocio Perez, additional, Perini, Rodolfo F., additional, Peterson, Christine M., additional, Peterson, Michael R., additional, Petralia, Giuseppe, additional, Power, Niall, additional, Prabhakar, Anand M., additional, Prabhakar, Hima B., additional, Prabhakar, Priya D., additional, Prasad, Srinivasa R., additional, Pryma, Daniel A., additional, Rajesh, Arumugam, additional, Rebello, Anuradha S., additional, Rezvani, Maryam, additional, Rivero, Oscar M., additional, Roedl, Johannes B., additional, Rosman, David A., additional, Sahani, Dushyant V., additional, Sainani, Nisha I., additional, Samir, Anthony E., additional, Sandrasegaran, Kumaresan, additional, Santillan, Cynthia S., additional, Sanyal, Rupan, additional, Saunders, Alissa, additional, Scuderi, Richard T., additional, Seale, Melanie, additional, Sebastian, Sunit, additional, Shah, Hemendra, additional, Shah, Shetal N., additional, Shah, Zarine K., additional, Shiehmorteza, Masoud, additional, Singh, Ajay, additional, Singh, Anand, additional, Sirlin, Claude B., additional, Small, William, additional, Soto, Jorge A., additional, Stein, Lance L., additional, Surabhi, Venkateswar R., additional, Taouli, Bachir, additional, Testoni, Marco, additional, Thabet, Ashraf, additional, Tomei, Ernesto, additional, Udeshi, Michelle, additional, Uppot, Raul N., additional, Vaidya, Sujit, additional, Viswamitra, Sanjaya, additional, Walker, T. Gregory, additional, Westra, Sjirk J., additional, Yaghmai, Vahid, additional, Yokoo, Takeshi, additional, and Yoshida, Hiroyuki, additional

Published
2011
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16. Stacked dilated convolutions and asymmetric architecture for U-Net-based medical image segmentation.

Author

Wang S, Singh VK, Cheah E, Wang X, Li Q, Chou SH, Lehman CD, Kumar V, and Samir AE

Subjects
Image Processing, Computer-Assisted, Neural Networks, Computer
Abstract

Deep learning has been widely utilized for medical image segmentation. The most commonly used U-Net and its variants often share two common characteristics but lack solid evidence for the effectiveness. First, each block (i.e., consecutive convolutions of feature maps of the same resolution) outputs feature maps from the last convolution, limiting the variety of the receptive fields. Second, the network has a symmetric structure where the encoder and the decoder paths have similar numbers of channels. We explored two novel revisions: a stacked dilated operation that outputs feature maps from multi-scale receptive fields to replace the consecutive convolutions; an asymmetric architecture with fewer channels in the decoder path. Two novel models were developed: U-Net using the stacked dilated operation (SDU-Net) and asymmetric SDU-Net (ASDU-Net). We used both publicly available and private datasets to assess the efficacy of the proposed models. Extensive experiments confirmed SDU-Net outperformed or achieved performance similar to the state-of-the-art while using fewer parameters (40% of U-Net). ASDU-Net further reduced the model parameters to 20% of U-Net with performance comparable to SDU-Net. In conclusion, the stacked dilated operation and the asymmetric structure are promising for improving the performance of U-Net and its variants., (Copyright © 2022 Elsevier Ltd. All rights reserved.)

Published
2022
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17. [ 18 F]-Alfatide PET imaging of integrin αvβ3 for the non-invasive quantification of liver fibrosis.

Author

Shao T, Chen Z, Belov V, Wang X, Rwema SH, Kumar V, Fu H, Deng X, Rong J, Yu Q, Lang L, Lin W, Josephson L, Samir AE, Chen X, Chung RT, and Liang SH

Subjects
Animals, Disease Progression, Fluorescent Antibody Technique methods, Fluorine Radioisotopes pharmacology, Gene Expression Profiling methods, Mice, Molecular Imaging methods, Reproducibility of Results, Sensitivity and Specificity, Hepatic Stellate Cells metabolism, Integrin alphaVbeta3 metabolism, Liver Cirrhosis diagnostic imaging, Liver Cirrhosis metabolism, Liver Cirrhosis pathology, Peptides, Cyclic pharmacology, Positron-Emission Tomography methods
Abstract

Background & Aims: The vitronectin receptor integrin αvβ3 drives fibrogenic activation of hepatic stellate cells (HSCs). Molecular imaging targeting the integrin αvβ3 could provide a non-invasive method for evaluating the expression and the function of the integrin αvβ3 on activated HSCs (aHSCs) in the injured liver. In this study, we sought to compare differences in the uptake of [ 18 F]-Alfatide between normal and injured liver to evaluate its utility for assessment of hepatic fibrogenesis., Methods: PET with [ 18 F]-Alfatide, non-enhanced CT, histopathology, immunofluorescence staining, immunoblotting and gene analysis were performed to evaluate and quantify hepatic integrin αvβ3 levels and liver fibrosis progression in mouse models of fibrosis (carbon tetrachloride [CCl 4 ] and bile duct ligation [BDL]). The liver AUC divided by the blood AUC over 30 min was used as an integrin αvβ3-PET index to quantify fibrosis progression. Ex vivo analysis of frozen liver tissue from patients with fibrosis and cirrhosis verified the animal findings., Results: Fibrotic mouse livers showed enhanced [ 18 F]-Alfatide uptake and retention compared to control livers. The radiotracer was demonstrated to bind specifically with integrin αvβ3, which is mainly expressed on aHSCs. Autoradiography and histopathology confirmed the PET imaging results. Further, the mRNA and protein level of integrin αvβ3 and its signaling complex were higher in CCl 4 and BDL models than controls. The results obtained from analyses on human fibrotic liver sections supported the animal findings., Conclusions: Imaging hepatic integrin αvβ3 with PET and [ 18 F]-Alfatide offers a potential non-invasive method for monitoring the progression of liver fibrosis., Lay Summary: Integrin αvβ3 expression on activated hepatic stellate cells (aHSCs) is associated with HSC proliferation during hepatic fibrogenesis. Herein, we show that a radioactive tracer, [ 18 F]-Alfatide, binds to integrin αvβ3 with high affinity and specificity. [ 18 F]-Alfatide could thus be used as a non-invasive imaging biomarker to track hepatic fibrosis progression., Competing Interests: Conflict of interest The authors declare no conflicts of interest that pertain to this work. Please refer to the accompanying ICMJE disclosure forms for further details., (Copyright © 2020 European Association for the Study of the Liver. Published by Elsevier B.V. All rights reserved.)

Published
2020
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