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)

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)

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)