DeepSeeNet: A deep learning model for automated classification of patient-based age-related macular degeneration severity from color fundus photographs. - Yifan Peng 002; Shazia Dharssi; Qingyu Chen 001; Tiarnan D. Keenan; Elvira Agrón; Wai T. Wong; Emily Y. Chew; Zhiyong Lu (CoRR, 2018)

A multi-task deep learning model for the classification of Age-related Macular Degeneration. - Qingyu Chen 001; Yifan Peng 002; Tiarnan D. Keenan; Shazia Dharssi; Elvira Agrón; Wai T. Wong; Emily Y. Chew; Zhiyong Lu (CoRR, 2018)

A deep learning-based survival model for prediction of progression in late Age-related Macular Degeneration (AMD) from color fundus photographs. - Yifan Peng 002; Tiarnan D. Keenan; Qingyu Chen 001; Elvira Agrón; Wai T. Wong; Emily Y. Chew; Zhiyong Lu (AMIA, 2019)

A deep learning approach for automated detection of geographic atrophy from color fundus photographs. - Tiarnan D. Keenan; Shazia Dharssi; Yifan Peng 002; Qingyu Chen 001; Elvira Agrón; Wai T. Wong; Zhiyong Lu; Emily Y. Chew (CoRR, 2019)

Detection of reticular pseudodrusen using deep learning. - Qingyu Chen 001; Tiarnan D. Keenan; Yifan Peng 002; Elvira Agrón; Christopher Hwang; Alisa T. Thavikulwat; Debora Lee; Wai T. Wong; Emily Y. Chew; Zhiyong Lu (AMIA, 2020)

Multi-modal, multi-task, multi-attention (M3) deep learning detection of reticular pseudodrusen: towards automated and accessible classification of age-related macular degeneration. - Qingyu Chen 001; Tiarnan D. L. Keenan; Alexis Allot; Yifan Peng 002; Elvira Agrón; Amitha Domalpally; Caroline C. W. Klaver; Daniel T. Luttikhuizen; Marcus H. Colyer; Catherine A. Cukras; Henry E. Wiley; M. Teresa Magone; et al. (CoRR, 2020)

Predicting risk of late age-related macular degeneration using deep learning. - Yifan Peng 002; Tiarnan D. Keenan; Qingyu Chen 001; Elvira Agrón; Alexis Allot; Wai T. Wong; Emily Y. Chew; Zhiyong Lu (npj Digit. Medicine, 2020)

Deep learning detection of reticular pseudodrusen using multi-modal, multi-task, and multi-attention mechanisms: towards automated and accessible classification of age-related macular degeneration. - Qingyu Chen 001; Tiarnan D. Keenan; Emily Y. Chew; Zhiyong Lu (AMIA, 2021)

Multi-task deep learning-based survival analysis on the prognosis of late AMD using the longitudinal data in AREDS. - Gregory C. Ghahramani; Matthew Brendel; Mingquan Lin; Qingyu Chen 001; Tiarnan D. Keenan; Kun Chen 002; Emily Y. Chew; Zhiyong Lu; Yifan Peng 002; Fei Wang 001 (AMIA, 2021)

Multimodal, multitask, multiattention (M3) deep learning detection of reticular pseudodrusen: Toward automated and accessible classification of age-related macular degeneration. - Qingyu Chen 001; Tiarnan D. L. Keenan; Alexis Allot; Yifan Peng 002; Elvira Agrón; Amitha Domalpally; Caroline C. W. Klaver; Daniel T. Luttikhuizen; Marcus H. Colyer; Catherine A. Cukras; Henry E. Wiley; M. Teresa Magone; et al. (J. Am. Medical Informatics Assoc., 2021)

Automated and Accessible Diagnosis of Age-related Macular Degeneration: a Comparative Analysis of the impact of machine learning models in clinical diagnostic Workflows. - Qingyu Chen 001; Tiarnan D. Keenan; Alexis Allot; Sanjeeb Bhandari; Geoff Broadhead; Chantal Cousineau-Krieger; Ellen Davis; William G. Gensheimer; David Grasic; Seema Gupta; Eleni Konstantinou; Tania Lamba; et al. (AMIA, 2022)

Deep learning automated diagnosis and quantitative classification of cataract type and severity: quantifying the effectiveness and usability of deep learning-assisted disease diagnosis models with 14 ophthalmologists and multi-center validations. - Qingyu Chen 001; Tiarnan D. Keenan; Elvira Agrón; Amr S. Elsawy; Emily Y. Chew; Zhiyong Lu (AMIA, 2022)

Device specific SD-OCT retinal layer segmentation using cycle-generative adversarial networks in patients with AMD. - Souvick Mukherjee; Tharindu De Silva; Gopal Jayakar; Peyton Grisso; Henry E. Wiley; Tiarnan D. Keenan; Alisa T. Thavikulwat; Emily Y. Chew; Catherine Cukras (Computer-Aided Diagnosis, 2022)

Retinal layer segmentation for age-related macular degeneration patients with 3D-UNet. - Souvick Mukherjee; Tharindu De Silva; Gopal Jayakar; Peyton Grisso; Henry E. Wiley; Tiarnan D. Keenan; Alisa T. Thavikulwat; Emily Y. Chew; Catherine Cukras (Computer-Aided Diagnosis, 2022)

Semi-supervised learning approach for automatic detection of hyperreflective foci in SD-OCT imaging. - Tharindu De Silva; Kristina Heß; Cameron Duic; Souvick Mukherjee; Hector Sandoval; Jessica Aduwo; Tiarnan D. Keenan; Emily Y. Chew; Catherine Cukras (Computer-Aided Diagnosis, 2022)

Predicting Age-related Macular Degeneration Progression with Longitudinal Fundus Images Using Deep Learning. - Junghwan Lee; Tingyi Wanyan; Qingyu Chen 001; Tiarnan D. L. Keenan; Benjamin S. Glicksberg; Emily Y. Chew; Zhiyong Lu; Fei Wang 001; Yifan Peng 002 (MLMI@MICCAI, 2022)

Predicting myocardial infarction through retinal scans and minimal personal information. - Andres Diaz-Pinto; Nishant Ravikumar; Rahman Attar; Avan Suinesiaputra; Yitian Zhao; Eylem Levelt; Erica Dall' Armellina; Marco Lorenzi; Qingyu Chen 001; Tiarnan D. L. Keenan; Elvira Agrón; Emily Y. Chew; et al. (Nat. Mach. Intell., 2022)

Robust convolutional neural networks against adversarial attacks on medical images. - Xiaoshuang Shi; Yifan Peng 002; Qingyu Chen 001; Tiarnan D. Keenan; Alisa T. Thavikulwat; Sungwon Lee 003; Yuxing Tang; Emily Y. Chew; Ronald M. Summers; Zhiyong Lu (Pattern Recognit., 2022)

Drusen segmentation in color fundus photographs for drusenoid pigment epithelial detachment patients based on ground-truth derived from SD-OCTs. - Souvick Mukherjee; Cameron Duic; Tharindu De Silva; Tiarnan D. Keenan; Alisa T. Thavikulwat; Emily Y. Chew; Catherine Cukras (Computer-Aided Diagnosis, 2023)

MedGen: A Python Natural Language Processing Toolkit for Medical Text Processing. - Rui Yang 016; Qingcheng Zeng; Keen You; Yujie Qiao; Lucas Huang; Chiachun Hsieh; Benjamin Rosand; Jeremy Goldwasser; Amisha D. Dave; Tiarnan D. L. Keenan; Emily Y. Chew; Dragomir Radev; et al. (CoRR, 2023)

Enhancing Large Language Models with Domain-specific Retrieval Augment Generation: A Case Study on Long-form Consumer Health Question Answering in Ophthalmology. - Aidan Gilson; Xuguang Ai; Thilaka Arunachalam; Ziyou Chen; Ki Xiong Cheong; Amisha D. Dave; Cameron Duic; Mercy Kibe; Annette Kaminaka; Minali Prasad; Fares Siddig; Maxwell B. Singer; et al. (CoRR, 2024)

Towards Accountable AI-Assisted Eye Disease Diagnosis: Workflow Design, External Validation, and Continual Learning. - Qingyu Chen 001; Tiarnan D. L. Keenan; Elvira Agrón; Alexis Allot; Emily Guan; Bryant Duong; Amr S. Elsawy; Benjamin Hou; Cancan Xue; Sanjeeb Bhandari; Geoff Broadhead; Chantal Cousineau-Krieger; et al. (CoRR, 2024)