Identifying Distributed Object Representations in Human Extrastriate Visual Cortex. - Rory Sayres; David Ress; Kalanit Grill-Spector (NIPS, 2005)

Measurement and modeling of eye-mouse behavior in the presence of nonlinear page layouts. - Vidhya Navalpakkam; LaDawn Jentzsch; Rory Sayres; Sujith Ravi; Amr Ahmed 001; Alexander J. Smola (WWW, 2013)

Interpretability Beyond Feature Attribution: Quantitative Testing with Concept Activation Vectors (TCAV). - Been Kim; Martin Wattenberg; Justin Gilmer; Carrie J. Cai; James Wexler; Fernanda B. Viégas; Rory Sayres (ICML, 2018)

Direct Uncertainty Prediction with Applications to Healthcare. - Maithra Raghu; Katy Blumer; Rory Sayres; Ziad Obermeyer; Sendhil Mullainathan; Jon M. Kleinberg (CoRR, 2018)

Deep Learning vs. Human Graders for Classifying Severity Levels of Diabetic Retinopathy in a Real-World Nationwide Screening Program. - Paisan Raumviboonsuk; Jonathan Krause; Peranut Chotcomwongse; Rory Sayres; Rajiv Raman 003; Kasumi Widner; Bilson J. L. Campana; Sonia Phene; Kornwipa Hemarat; Mongkol Tadarati; Sukhum Silpa-Archa; Jirawut Limwattanayingyong; et al. (CoRR, 2018)

Deep Learning to Assess Glaucoma Risk and Associated Features in Fundus Images. - Sonia Phene; R. Carter Dunn; Naama Hammel; Yun Liu 013; Jonathan Krause; Naho Kitade; Mike Schaekermann; Rory Sayres; Derek J. Wu; Ashish Bora; Christopher Semturs; Anita Misra; et al. (CoRR, 2018)

Direct Uncertainty Prediction for Medical Second Opinions. - Maithra Raghu; Katy Blumer; Rory Sayres; Ziad Obermeyer; Robert D. Kleinberg; Sendhil Mullainathan; Jon M. Kleinberg (ICML, 2019)

Exploring Principled Visualizations for Deep Network Attributions. - Mukund Sundararajan; Jinhua Xu; Ankur Taly; Rory Sayres; Amir Najmi (IUI Workshops, 2019)

Author Correction: Deep learning versus human graders for classifying diabetic retinopathy severity in a nationwide screening program. - Paisan Ruamviboonsuk; Jonathan Krause; Peranut Chotcomwongse; Rory Sayres; Rajiv Raman 003; Kasumi Widner; Bilson J. L. Campana; Sonia Phene; Kornwipa Hemarat; Mongkol Tadarati; Sukhum Silpa-Archa; Jirawut Limwattanayingyong; et al. (npj Digit. Medicine, 2019)

Deep learning versus human graders for classifying diabetic retinopathy severity in a nationwide screening program. - Paisan Ruamviboonsuk; Jonathan Krause; Peranut Chotcomwongse; Rory Sayres; Rajiv Raman 003; Kasumi Widner; Bilson J. L. Campana; Sonia Phene; Kornwipa Hemarat; Mongkol Tadarati; Sukhum Silpa-Archa; Jirawut Limwattanayingyong; et al. (npj Digit. Medicine, 2019)

Expert Discussions Improve Comprehension of Difficult Cases in Medical Image Assessment. - Mike Schaekermann; Carrie J. Cai; Abigail E. Huang; Rory Sayres (CHI, 2020)

Scientific Discovery by Generating Counterfactuals using Image Translation. - Arunachalam Narayanaswamy; Subhashini Venugopalan; Dale R. Webster; Lily Peng; Greg Corrado; Paisan Ruamviboonsuk; Pinal Bavishi; Rory Sayres; Abigail E. Huang; Siva Balasubramanian; Michael P. Brenner; Philip Q. Nelson; et al. (CoRR, 2020)

Improving Medical Annotation Quality to Decrease Labeling Burden Using Stratified Noisy Cross-Validation. - Joy Hsu; Sonia Phene; Akinori Mitani; Jieying Luo; Naama Hammel; Jonathan Krause; Rory Sayres (CoRR, 2020)

Iterative Quality Control Strategies for Expert Medical Image Labeling. - Beverly Freeman; Naama Hammel; Sonia Phene; Abigail Huang; Rebecca Ackermann; Olga Kanzheleva; Miles Hutson; Caitlin Taggart; Quang Duong 004; Rory Sayres (HCOMP, 2021)

Underspecification Presents Challenges for Credibility in Modern Machine Learning. - Alexander D'Amour; Katherine A. Heller; Dan Moldovan; Ben Adlam; Babak Alipanahi; Alex Beutel; Christina Chen; Jonathan Deaton; Jacob Eisenstein; Matthew D. Hoffman; Farhad Hormozdiari; Neil Houlsby; et al. (J. Mach. Learn. Res., 2022)

Towards Expert-Level Medical Question Answering with Large Language Models. - Karan Singhal; Tao Tu 001; Juraj Gottweis; Rory Sayres; Ellery Wulczyn; Le Hou; Kevin Clark; Stephen Pfohl; Heather Cole-Lewis; Darlene Neal; Mike Schaekermann; Amy Wang; et al. (CoRR, 2023)

Conversational AI in health: Design considerations from a Wizard-of-Oz dermatology case study with users, clinicians and a medical LLM. - Brenna Li; Amy Wang; Patricia Strachan; Julie Anne Séguin; Sami Lachgar; Karyn C. Schroeder; Mathias S. Fleck; Renee Wong; Alan Karthikesalingam; Vivek Natarajan; Yossi Matias; Gregory S. Corrado; et al. (CHI Extended Abstracts, 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; et al. (CoRR, 2024)

A Toolbox for Surfacing Health Equity Harms and Biases in Large Language Models. - Stephen R. Pfohl; Heather Cole-Lewis; Rory Sayres; Darlene Neal; Mercy Nyamewaa Asiedu; Awa Dieng; Nenad Tomasev; Qazi Mamunur Rashid; Shekoofeh Azizi; Negar Rostamzadeh; Liam G. McCoy; Leo Anthony Celi; et al. (CoRR, 2024)

Navigating Skin Concerns with AI: A Human-Centered Investigation of a Dermatology App in a Diverse Community. - Rory Sayres; Anna Devon-Sand; Mike Schaekermann; Margaret Ann Smith; Patricia Strachan; Grace Eunhae Hong; Trinh Nguyen; Doris Wong; Naama Hammel; Dawn Siegel; Kexin Ren; Chelsea Belletieri; et al. (CHI Extended Abstracts, 2025)