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

R. Rikhye, A. Loh, G. Hong, P. Singh, M. Smith, V. Muralidharan, D. Wong, R. Sayres, M. Phung, N. Betancourt, B. Fong, R. Sahasrabudhe, K. Nasim, A. Eschholz, B. Mustafa, J. Freyberg, T. Spitz, Y. Matias, G. Corrado, K. Chou, D. Webster, P. Bui, Y. Liu, Y. Liu, J. Ko, and S. Lin. CoRR, (2024)

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Kurt Aaron

Siegfried Aaron

Else Aaron

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Aaron Bogan

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Does Your Dermatology Classifier Know What It Doesn't Know? Detecting the Long-Tail of Unseen Conditions.A. Roy, J. Ren, S. Azizi, A. Loh, V. Natarajan, B. Mustafa, N. Pawlowski, J. Freyberg, Y. Liu, Z. Beaver and 11 other author(s). CoRR, (2021)WarpDrive: Improving spatial normalization using manual refinements.S. Oxenford, A. Ríos, B. Hollunder, C. Neudorfer, A. Boutet, G. Elias, J. Germann, A. Loh, W. Deeb, B. Salvato and 20 other author(s). Medical Image Anal., (January 2024)Big Self-Supervised Models Advance Medical Image Classification.S. Azizi, B. Mustafa, F. Ryan, Z. Beaver, J. Freyberg, J. Deaton, A. Loh, A. Karthikesalingam, S. Kornblith, T. Chen and 2 other author(s). ICCV, page 3458-3468. IEEE, (2021)Agreement Between Saliency Maps and Human-Labeled Regions of Interest: Applications to Skin Disease Classification.N. Singh, K. Lee, D. Coz, C. Angermüller, S. Huang, A. Loh, and Y. Liu. CVPR Workshops, page 3172-3181. Computer Vision Foundation / IEEE, (2020)Closing the AI generalization gap by adjusting for dermatology condition distribution differences across clinical settings.R. Rikhye, A. Loh, G. Hong, P. Singh, M. Smith, V. Muralidharan, D. Wong, R. Sayres, M. Phung, N. Betancourt and 16 other author(s). CoRR, (2024)Supervised Transfer Learning at Scale for Medical Imaging.B. Mustafa, A. Loh, J. Freyberg, P. MacWilliams, M. Wilson, S. McKinney, M. Sieniek, J. Winkens, Y. Liu, P. Bui and 5 other author(s). CoRR, (2021)Dissociable default-mode subnetworks subserve childhood attention and cognitive flexibility: Evidence from deep learning and stereotactic electroencephalography.N. Warsi, S. Wong, J. Germann, A. Boutet, O. Arski, R. Anderson, L. Erdman, H. Yan, H. Suresh, F. Gouveia and 12 other author(s). Neural Networks, (October 2023)Robust and Efficient Medical Imaging with Self-Supervision.S. Azizi, L. Culp, J. Freyberg, B. Mustafa, S. Baur, S. Kornblith, T. Chen, P. MacWilliams, S. Mahdavi, E. Wulczyn and 24 other author(s). CoRR, (2022)Does your dermatology classifier know what it doesn't know? Detecting the long-tail of unseen conditions.A. Roy, J. Ren, S. Azizi, A. Loh, V. Natarajan, B. Mustafa, N. Pawlowski, J. Freyberg, Y. Liu, Z. Beaver and 11 other author(s). Medical Image Anal., (2022)

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Disambiguation of "Loh, Aaron"

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

Please choose a person to relate this publication to

Kurt Aaron

Siegfried Aaron

Else Aaron

Aaron Rosmarin

Aaron Bogan

Other publications of authors with the same name

Disambiguation

BibSonomy

Disambiguation of "Loh, Aaron"

copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML Closing the AI generalization gap by adjusting for dermatology condition distribution differences across clinical settings.

Please choose a person to relate this publication to

Kurt Aaron

Siegfried Aaron

Else Aaron

Aaron Rosmarin

Aaron Bogan

Other publications of authors with the same name

Disambiguation

copy delete add this publication to your clipboard
community post
history of this post
URL
DOI
BibTeX
EndNote
APA
Chicago
DIN 1505
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Closing the AI generalization gap by adjusting for dermatology condition distribution differences across clinical settings.