Color channel encoding with NMF for face recognition. - Menaka Rajapakse; Jeffrey Tan; Jagath C. Rajapakse (ICIP, 2004)

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)

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)

R-SLAM: Optimizing Eye Tracking from Rolling Shutter Video of the Retina. - Jay Shenoy; James Fong; Jeffrey Tan; Austin Roorda; Ren Ng (ICCV, 2021)

GersteinLab at MEDIQA-Chat 2023: Clinical Note Summarization from Doctor-Patient Conversations through Fine-tuning and In-context Learning. - Xiangru Tang; Andrew Tran; Jeffrey Tan; Mark Gerstein (ClinicalNLP@ACL, 2023)

MolLM: a unified language model for integrating biomedical text with 2D and 3D molecular representations. - Xiangru Tang; Andrew Tran; Jeffrey Tan; Mark B. Gerstein (Bioinform., 2024)

LLM-PBE: Assessing Data Privacy in Large Language Models. - Qinbin Li; Junyuan Hong; Chulin Xie; Jeffrey Tan; Rachel Xin; Junyi Hou; Xavier Yin; Zhun Wang; Dan Hendrycks; Zhangyang Wang; Bo Li 026; Bingsheng He; et al. (Proc. VLDB Endow., 2024)