Rhythm Classification of 12-Lead ECGs Using Deep Neural Networks and Class-Activation Maps for Improved Explainability. - Sebastian D. Goodfellow; Dmitrii Shubin; Robert W. Greer; Sujay Nagaraj; Carson McLean; Will Dixon; Andrew J. Goodwin; Azadeh Assadi; Anusha Jegatheeswaran; Peter C. Laussen; Mjaye Mazwi; Danny Eytan (CinC, 2020)

What do medical students actually need to know about artificial intelligence? - Liam G. McCoy; Sujay Nagaraj; Felipe Morgado; Vinyas Harish; Sunit Das; Leo Anthony Celi (npj Digit. Medicine, 2020)

Machine Learning for Health (ML4H) 2023. - Stefan Hegselmann; Antonio Parziale; Divya Shanmugam; Shengpu Tang; Kristen Severson 001; Mercy Nyamewaa Asiedu; Serina Chang; Bonaventure F. P. Dossou; Qian Huang; Fahad Kamran; Haoran Zhang 003; Sujay Nagaraj; et al. (ML4H@NeurIPS, 2023)

Dissecting the heterogeneity of "in the wild" stress from multimodal sensor data. - Sujay Nagaraj; Sarah M. Goodday; Thomas Hartvigsen; Adrien Boch; Kopal Garg; Sindhu C. M. Gowda; Luca Foschini 002; Marzyeh Ghassemi; Stephen H. Friend; Anna Goldenberg (npj Digit. Medicine, 2023)

Needles in Needle Stacks: Meaningful Clinical Information Buried in Noisy Sensor Data. - Sujay Nagaraj; Andrew J. Goodwin; Dmytro Lopushanskyy; Sebastian D. Goodfellow; Danny Eytan; Hadrian Balaci; Robert Greer; Anand Jayarajan; Azadeh Assadi; Mjaye Leslie Mazwi; Anna Goldenberg (MLHC, 2024)

Learning from Time Series under Temporal Label Noise. - Sujay Nagaraj; Walter Gerych; Sana Tonekaboni; Anna Goldenberg; Berk Ustun; Thomas Hartvigsen (CoRR, 2024)

Needles in Needle Stacks: Meaningful Clinical Information Buried in Noisy Waveform Data. - Sujay Nagaraj; Andrew J. Goodwin; Dmytro Lopushanskyy; Danny Eytan; Robert W. Greer; Sebastian D. Goodfellow; Azadeh Assadi; Anand Jayarajan; Anna Goldenberg; Mjaye L. Mazwi (CoRR, 2024)

Regretful Decisions under Label Noise. - Sujay Nagaraj; Yang Liu 018; Flávio P. Calmon; Berk Ustun (ICLR, 2025)

Learning under Temporal Label Noise. - Sujay Nagaraj; Walter Gerych; Sana Tonekaboni; Anna Goldenberg; Berk Ustun; Thomas Hartvigsen (ICLR, 2025)