Natural Language Processing to Detect Cognitive Concerns in Electronic Health Records Using Deep Learning. - Zhuoqiao Hong; Colin G. Magdamo; Yi-han Sheu; Prathamesh Mohite; Ayush Noori; Elissa M. Ye; Wendong Ge; Haoqi Sun; Laura Brenner; Gregory K. Robbins; Shibani Mukerji; Sahar Zafar; et al. (CoRR, 2020)

Using Deep Learning to Identify Patients with Cognitive Impairment in Electronic Health Records. - Tanish Tyagi; Colin G. Magdamo; Ayush Noori; Zhaozhi Li; Xiao Liu; Mayuresh Deodhar; Zhuoqiao Hong; Wendong Ge; Elissa M. Ye; Yi-han Sheu; Haitham Alabsi; Laura Brenner; et al. (CoRR, 2021)

Robust Segmentation of Brain MRI in the Wild with Hierarchical CNNs and No Retraining. - Benjamin Billot; Colin G. Magdamo; Steven E. Arnold; Sudeshna Das 001; Juan Eugenio Iglesias (MICCAI (5), 2022)

Robust Segmentation of Brain MRI in the Wild with Hierarchical CNNs and no Retraining. - Benjamin Billot; Colin G. Magdamo; Sean E. Arnold; Sudeshna Das 001; Juan Eugenio Iglesias (CoRR, 2022)

Robust machine learning segmentation for large-scale analysis of heterogeneous clinical brain MRI datasets. - Benjamin Billot; Colin G. Magdamo; Steven E. Arnold; Sudeshna Das 001; Juan Eugenio Iglesias (CoRR, 2022)

Cortical Analysis of Heterogeneous Clinical Brain MRI Scans for Large-Scale Neuroimaging Studies. - Karthik Gopinath; Douglas N. Greve; Sudeshna Das 001; Steven E. Arnold; Colin G. Magdamo; Juan Eugenio Iglesias (MICCAI (8), 2023)

AI-assisted prediction of differential response to antidepressant classes using electronic health records. - Yi-han Sheu; Colin G. Magdamo; Matthew Miller; Sudeshna Das 001; Deborah Blacker; Jordan W. Smoller (npj Digit. Medicine, 2023)

causalCmprsk: An R package for nonparametric and Cox-based estimation of average treatment effects in competing risks data. - Bella Vakulenko-Lagun; Colin G. Magdamo; Marie-Laure Charpignon; Bang Zheng; Mark W. Albers; Sudeshna Das 001 (Comput. Methods Programs Biomed., 2023)

Leveraging Pre-trained and Transformer-derived Embeddings from EHRs to Characterize Heterogeneity Across Alzheimer's Disease and Related Dementias. - Matthew West 004; Colin G. Magdamo; Lily Cheng; Yingnan He; Sudeshna Das 001 (CoRR, 2024)

Investigating Primary Care Indications to Improve the Quality of Electronic Health Record Data in Target Trial Emulation for Dementia. - Max I Sunog; Colin G. Magdamo; Marie-Laure Charpignon; Mark W. Albers (CHIL, 2025)

"Recon-all-clinical": Cortical surface reconstruction and analysis of heterogeneous clinical brain MRI. - Karthik Gopinath; Douglas N. Greve; Colin G. Magdamo; Steven E. Arnold; Sudeshna Das 001; Oula Puonti; Juan Eugenio Iglesias (Medical Image Anal., 2025)

A GPT-4o-powered framework for identifying cognitive impairment stages in electronic health records. - Yu Leng; Yingnan He; Samad Amini; Colin G. Magdamo; Ioannis Paschalidis; Shibani S. Mukerji; Lidia M. V. R. Moura; M. Brandon Westover; Ana-Maria Vranceanu; Christine S. Ritchie; Deborah Blacker; John R. Dickson; et al. (npj Digit. Medicine, 2025)

Evaluating GPT's Capability in Identifying Stages of Cognitive Impairment from Electronic Health Data. - Yu Leng; Yingnan He; Colin G. Magdamo; Ana-Maria Vranceanu; Christine S. Ritchie; Shibani S. Mukerji; Lidia M. V. R. Moura; John R. Dickson; Deborah Blacker; Sudeshna Das 001 (CoRR, 2025)

End-to-end Cortical Surface Reconstruction from Clinical Magnetic Resonance Images. - Jesper Duemose Nielsen; Karthik Gopinath; Andrew Hoopes; Adrian V. Dalca; Colin G. Magdamo; Steven E. Arnold; Sudeshna Das 001; Axel Thielscher; Juan Eugenio Iglesias; Oula Puonti (CoRR, 2025)