Group-based variant calling leveraging next-generation supercomputing for large-scale whole-genome sequencing studies. - Kristopher Standish; Tristan M. Carland; Glenn K. Lockwood; Wayne Pfeiffer; Mahidhar Tatineni; C. Huang; Sarah Lamberth; Yauheniya Cherkas; Carrie Brodmerkel; Ed Jaeger; Lance Smith; Gunaretnam Rajagopal; et al. (BMC Bioinform., 2015)

Knowledge synthesis from 100 million biomedical documents augments the deep expression profiling of coronavirus receptors. - A. J. Venkatakrishnan; Arjun Puranik; Akash Anand; David Zemmour; Xiang Yao; Xiaoying Wu; Ramakrishna Chilaka; Dariusz K. Murakowski; Kristopher Standish; Bharathwaj Raghunathan; Tyler Wagner; Enrique Garcia-Rivera; et al. (CoRR, 2020)

Automatic estimation of ulcerative colitis severity from endoscopy videos using ordinal multi-instance learning. - Evan Schwab; Gabriela Oana Cula; Kristopher Standish; Stephen S. F. Yip; Aleksandar Stojmirovic; Louis Ghanem; Christel Chehoud (Comput. methods Biomech. Biomed. Eng. Imaging Vis., 2022)

EchoFM: A View-Independent Echocardiogram Model for the Detection of Pulmonary Hypertension. - Shreyas Fadnavis; Chaitanya Parmar; Nastaran Emaminejad; Alvaro Ulloa Cerna; Areez Malik; Mona Selej; Tommaso Mansi; Preston Dunnmon; Tarik Yardibi; Kristopher Standish; Pablo F. Damasceno (MICCAI (1), 2024)

Harnessing Temporal Information for Precise Frame-Level Predictions in Endoscopy Videos. - Pooya Mobadersany; Chaitanya Parmar; Pablo F. Damasceno; Shreyas Fadnavis; Krishna Chaitanya; Shilong Li; Evan Schwab; Jaclyn Xiao; Lindsey Surace; Tommaso Mansi; Gabriela Oana Cula; Louis Ghanem; et al. (MICCAI (6), 2024)

Arges: Spatio-Temporal Transformer for Ulcerative Colitis Severity Assessment in Endoscopy Videos. - Krishna Chaitanya; Pablo F. Damasceno; Shreyas Fadnavis; Pooya Mobadersany; Chaitanya Parmar; Emily Scherer; Natalia Zemlianskaia; Lindsey Surace; Louis Ghanem; Gabriela Oana Cula; Tommaso Mansi; Kristopher Standish (MLMI@MICCAI (2), 2024)

Vision Transformer Model for Automated End-to-End Radiographic Assessment of Joint Damage in Psoriatic Arthritis. - Darshana Govind; Zijun Gao; Chaitanya Parmar; Kenneth Broos; Nicholas Fountoulakis; Lenore Noonan; Shinobu Yamamoto; Natalia Zemlianskaia; Craig S. Meyer; Emily Scherer; Michael Deman; Pablo F. Damasceno; et al. (MLMI@MICCAI (1), 2024)

PSO-NET: Development of an Automated Psoriasis Assessment System Using Attention-Based Interpretable Deep Neural Networks. - Sharif Amit Kamran; Molly V. Lucas; Brendon Lutnick; Chaitanya Parmar; Basudha Pal; Asha Patel Shah; David Apfel; Steven Fakharzadeh; Lloyd Miller; Stephen S. F. Yip; Kristopher Standish; Gabriela Oana Cula (ISBI, 2025)

GRASP-PsONet: Gradient-based Removal of Spurious Patterns for PsOriasis Severity Classification. - Basudha Pal; Sharif Amit Kamran; Brendon Lutnick; Molly V. Lucas; Chaitanya Parmar; Asha Patel Shah; David Apfel; Steven Fakharzadeh; Lloyd Miller; Gabriela Oana Cula; Kristopher Standish (CoRR, 2025)