Aaron Loh

According to our database, Aaron Loh authored at least 8 papers between 2020 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

WarpDrive: Improving spatial normalization using manual refinements.

Simon Oxenford, Ana Sofía Ríos, Barbara Hollunder, Clemens Neudorfer, Alexandre Boutet, Gavin J. B. Elias, Jürgen Germann, Aaron Loh, Wissam Deeb, Bryan Salvato, Leonardo Almeida, Kelly D. Foote, Robert S. C. Amaral, Paul B. Rosenberg, David F. Tang-Wai, David A. Wolk, Anna D. Burke, Marwan N. Sabbagh, Stephen Salloway, M. Mallar Chakravarty, Gwenn S. Smith, Constantine G. Lyketsos, Michael S. Okun, William S. Anderson, Zoltan Mari, Francisco A. Ponce, Andres M. Lozano, Wolf-Julian Neumann, Bassam Al-Fatly, Andreas Horn

Medical Image Anal., January, 2024

Closing the AI generalization gap by adjusting for dermatology condition distribution differences across clinical settings.

Rajeev V. Rikhye, Aaron Loh, Grace Eunhae Hong, Preeti Singh, Margaret Ann Smith, Vijaytha Muralidharan, Doris Wong, Rory Sayres, Michelle Phung, Nicolas Betancourt, Bradley Fong, Rachna Sahasrabudhe, Khoban Nasim, Alec Eschholz, Basil Mustafa, Jan Freyberg, Terry Spitz, Yossi Matias, Gregory S. Corrado, Katherine Chou, Dale R. Webster, Peggy Bui, Yuan Liu, Yun Liu, Justin Ko, Steven Lin

CoRR, 2024

2023

Dissociable default-mode subnetworks subserve childhood attention and cognitive flexibility: Evidence from deep learning and stereotactic electroencephalography.

Nebras M. Warsi, Simeon M. Wong, Jürgen Germann, Alexandre Boutet, Olivia N. Arski, Ryan Anderson, Lauren Erdman, Han Yan, Hrishikesh Suresh, Flavia Venetucci Gouveia, Aaron Loh, Gavin J. B. Elias, Elizabeth Kerr, Mary Lou Smith, Ayako Ochi, Hiroshi Otsubo, Roy Sharma, Puneet Jain, Elizabeth Donner, Andres M. Lozano, O. Carter Snead, George M. Ibrahim

Neural Networks, October, 2023

2022

Does your dermatology classifier know what it doesn't know? Detecting the long-tail of unseen conditions.

Abhijit Guha Roy, Jie Ren, Shekoofeh Azizi, Aaron Loh, Vivek Natarajan, Basil Mustafa, Nick Pawlowski, Jan Freyberg, Yuan Liu, Zachary Beaver, Nam Vo, Peggy Bui, Samantha Winter, Patricia MacWilliams, Gregory S. Corrado, Umesh Telang, Yun Liu, A. Taylan Cemgil, Alan Karthikesalingam, Balaji Lakshminarayanan, Jim Winkens

Medical Image Anal., 2022

Robust and Efficient Medical Imaging with Self-Supervision.

Shekoofeh Azizi, Laura Culp, Jan Freyberg, Basil Mustafa, Sebastien Baur, Simon Kornblith, Ting Chen, Patricia MacWilliams, S. Sara Mahdavi, Ellery Wulczyn, Boris Babenko, Megan Wilson, Aaron Loh, Po-Hsuan Cameron Chen, Yuan Liu, Pinal Bavishi, Scott Mayer McKinney, Jim Winkens, Abhijit Guha Roy, Zachary Beaver, Fiona Ryan, Justin Krogue, Mozziyar Etemadi, Umesh Telang, Yun Liu, Lily Peng, Gregory S. Corrado, Dale R. Webster, David J. Fleet, Geoffrey E. Hinton, Neil Houlsby, Alan Karthikesalingam, Mohammad Norouzi, Vivek Natarajan

CoRR, 2022

2021

Supervised Transfer Learning at Scale for Medical Imaging.

Basil Mustafa, Aaron Loh, Jan Freyberg, Patricia MacWilliams, Megan Wilson, Scott Mayer McKinney, Marcin Sieniek, Jim Winkens, Yuan Liu, Peggy Bui, Shruthi Prabhakara, Umesh Telang, Alan Karthikesalingam, Neil Houlsby, Vivek Natarajan

CoRR, 2021

Big Self-Supervised Models Advance Medical Image Classification.

Shekoofeh Azizi, Basil Mustafa, Fiona Ryan, Zachary Beaver, Jan Freyberg, Jonathan Deaton, Aaron Loh, Alan Karthikesalingam, Simon Kornblith, Ting Chen, Vivek Natarajan, Mohammad Norouzi

Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

2020

Agreement Between Saliency Maps and Human-Labeled Regions of Interest: Applications to Skin Disease Classification.

Nalini Singh, Kang Lee, David Coz, Christof Angermüller, Susan Huang, Aaron Loh, Yuan Liu

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020