Colin G. Magdamo

According to our database, Colin G. Magdamo authored at least 10 papers between 2020 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

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, Oula Puonti, Juan Eugenio Iglesias

CoRR, 2024

Leveraging Pre-trained and Transformer-derived Embeddings from EHRs to Characterize Heterogeneity Across Alzheimer's Disease and Related Dementias.

Matthew West, Colin G. Magdamo, Lily Cheng, Yingnan He, Sudeshna Das

CoRR, 2024

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

Comput. Methods Programs Biomed., December, 2023

AI-assisted prediction of differential response to antidepressant classes using electronic health records.

Yi-han Sheu, Colin G. Magdamo, Matthew Miller, Sudeshna Das, Deborah Blacker, Jordan W. Smoller

npj Digit. Medicine, 2023

Cortical Analysis of Heterogeneous Clinical Brain MRI Scans for Large-Scale Neuroimaging Studies.

Karthik Gopinath, Douglas N. Greve, Sudeshna Das, Steven E. Arnold, Colin G. Magdamo, Juan Eugenio Iglesias

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023

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, Juan Eugenio Iglesias

CoRR, 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, Juan Eugenio Iglesias

CoRR, 2022

Robust Segmentation of Brain MRI in the Wild with Hierarchical CNNs and No Retraining.

Benjamin Billot, Colin G. Magdamo, Steven E. Arnold, Sudeshna Das, Juan Eugenio Iglesias

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022

2021

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, Gregory K. Robbins, Sahar Zafar, Nicole Benson, Lidia M. V. R. Moura, John Hsu, Alberto Serrano-Pozo, Dimitry Prokopenko, Rudolph E. Tanzi, Bradley T. Hyman, Deborah Blacker, Shibani S. Mukerji, M. Brandon Westover, Sudeshna Das

CoRR, 2021

2020

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, Nicole Benson, Lidia M. V. R. Moura, John Hsu, Bradley T. Hyman, M. Brandon Westover, Deborah Blacker, Sudeshna Das

CoRR, 2020