Zobrazeno 1 - 10
of 231
pro vyhledávání: '"Loh, Aaron"'
Autor:
Rikhye, Rajeev V., Loh, Aaron, Hong, Grace Eunhae, Singh, Preeti, Smith, Margaret Ann, Muralidharan, Vijaytha, Wong, Doris, Sayres, Rory, Phung, Michelle, Betancourt, Nicolas, Fong, Bradley, Sahasrabudhe, Rachna, Nasim, Khoban, Eschholz, Alec, Mustafa, Basil, Freyberg, Jan, Spitz, Terry, Matias, Yossi, Corrado, Greg S., Chou, Katherine, Webster, Dale R., Bui, Peggy, Liu, Yuan, Liu, Yun, Ko, Justin, Lin, Steven
Recently, there has been great progress in the ability of artificial intelligence (AI) algorithms to classify dermatological conditions from clinical photographs. However, little is known about the robustness of these algorithms in real-world setting
Externí odkaz:
http://arxiv.org/abs/2402.15566
Autor:
Azizi, Shekoofeh, Culp, Laura, Freyberg, Jan, Mustafa, Basil, Baur, Sebastien, Kornblith, Simon, Chen, Ting, MacWilliams, Patricia, Mahdavi, S. Sara, Wulczyn, Ellery, Babenko, Boris, Wilson, Megan, Loh, Aaron, Chen, Po-Hsuan Cameron, Liu, Yuan, Bavishi, Pinal, McKinney, Scott Mayer, Winkens, Jim, Roy, Abhijit Guha, Beaver, Zach, Ryan, Fiona, Krogue, Justin, Etemadi, Mozziyar, Telang, Umesh, Liu, Yun, Peng, Lily, Corrado, Greg S., Webster, Dale R., Fleet, David, Hinton, Geoffrey, Houlsby, Neil, Karthikesalingam, Alan, Norouzi, Mohammad, Natarajan, Vivek
Recent progress in Medical Artificial Intelligence (AI) has delivered systems that can reach clinical expert level performance. However, such systems tend to demonstrate sub-optimal "out-of-distribution" performance when evaluated in clinical setting
Externí odkaz:
http://arxiv.org/abs/2205.09723
Autor:
Rikhye, Rajeev V., Hong, Grace Eunhae, Singh, Preeti, Smith, Margaret Ann, Loh, Aaron, Muralidharan, Vijaytha, Wong, Doris, Sayres, Rory, Phung, Michelle, Betancourt, Nicolas, Fong, Bradley, Sahasrabudhe, Rachna, Nasim, Khoban, Eschholz, Alec, Matias, Yossi, Corrado, Greg S., Chou, Katherine, Webster, Dale R., Bui, Peggy, Liu, Yuan, Liu, Yun, Ko, Justin, Lin, Steven
Publikováno v:
In Mayo Clinic Proceedings: Digital Health March 2024 2(1):107-118
Autor:
Roy, Abhijit Guha, Ren, Jie, Azizi, Shekoofeh, Loh, Aaron, Natarajan, Vivek, Mustafa, Basil, Pawlowski, Nick, Freyberg, Jan, Liu, Yuan, Beaver, Zach, Vo, Nam, Bui, Peggy, Winter, Samantha, MacWilliams, Patricia, Corrado, Greg S., Telang, Umesh, Liu, Yun, Cemgil, Taylan, Karthikesalingam, Alan, Lakshminarayanan, Balaji, Winkens, Jim
Publikováno v:
Medical Image Analysis (2022)
We develop and rigorously evaluate a deep learning based system that can accurately classify skin conditions while detecting rare conditions for which there is not enough data available for training a confident classifier. We frame this task as an ou
Externí odkaz:
http://arxiv.org/abs/2104.03829
Autor:
Mustafa, Basil, Loh, Aaron, Freyberg, Jan, MacWilliams, Patricia, Wilson, Megan, McKinney, Scott Mayer, Sieniek, Marcin, Winkens, Jim, Liu, Yuan, Bui, Peggy, Prabhakara, Shruthi, Telang, Umesh, Karthikesalingam, Alan, Houlsby, Neil, Natarajan, Vivek
Transfer learning is a standard technique to improve performance on tasks with limited data. However, for medical imaging, the value of transfer learning is less clear. This is likely due to the large domain mismatch between the usual natural-image p
Externí odkaz:
http://arxiv.org/abs/2101.05913
Autor:
Azizi, Shekoofeh, Mustafa, Basil, Ryan, Fiona, Beaver, Zachary, Freyberg, Jan, Deaton, Jonathan, Loh, Aaron, Karthikesalingam, Alan, Kornblith, Simon, Chen, Ting, Natarajan, Vivek, Norouzi, Mohammad
Self-supervised pretraining followed by supervised fine-tuning has seen success in image recognition, especially when labeled examples are scarce, but has received limited attention in medical image analysis. This paper studies the effectiveness of s
Externí odkaz:
http://arxiv.org/abs/2101.05224
Autor:
Oxenford, Simón, Ríos, Ana Sofía, Hollunder, Barbara, Neudorfer, Clemens, Boutet, Alexandre, Elias, Gavin J.B., Germann, Jurgen, Loh, Aaron, Deeb, Wissam, Salvato, Bryan, Almeida, Leonardo, Foote, Kelly D., Amaral, Robert, Rosenberg, Paul B., Tang-Wai, David F., Wolk, David A., Burke, Anna D., Sabbagh, Marwan N., Salloway, Stephen, Chakravarty, M. Mallar, Smith, Gwenn S., Lyketsos, Constantine G., Okun, Michael S., Anderson, William S., Mari, Zoltan, Ponce, Francisco A., Lozano, Andres, Neumann, Wolf-Julian, Al-Fatly, Bassam, Horn, Andreas
Publikováno v:
In Medical Image Analysis January 2024 91
Autor:
Warsi, Nebras M., Wong, Simeon M., Germann, Jürgen, Boutet, Alexandre, Arski, Olivia N., Anderson, Ryan, Erdman, Lauren, Yan, Han, Suresh, Hrishikesh, Gouveia, Flavia Venetucci, Loh, Aaron, Elias, Gavin J.B., Kerr, Elizabeth, Smith, Mary Lou, Ochi, Ayako, Otsubo, Hiroshi, Sharma, Roy, Jain, Puneet, Donner, Elizabeth, Lozano, Andres M., Snead, O. Carter, Ibrahim, George M.
Publikováno v:
In Neural Networks October 2023 167:827-837
Autor:
Fasano, Alfonso, Gorodetsky, Carolina, Paul, Darcia, Germann, Jürgen, Loh, Aaron, Yan, Han, Carlen, Peter L., Breitbart, Sara, Lozano, Andres M., Ibrahim, George M., Kalia, Suneil K.
Publikováno v:
In Neuromodulation: Technology at the Neural Interface February 2022 25(2):271-275
Autor:
Sarica, Can, Yamamoto, Kazuaki, Loh, Aaron, Elias, Gavin J.B., Boutet, Alexandre, Madhavan, Radhika, Germann, Jürgen, Zemmar, Ajmal, Gwun, Dave, Tasserie, Jordy, Andrade, Danielle M., Hodaie, Mojgan, Kalia, Suneil K., Wennberg, Richard A., Lozano, Andres M.
Publikováno v:
In Epilepsy & Behavior September 2021 122