Sudeshna Das

32 papers Journal 26Unranked 6
YearRankTypeTitle / Venue / Authors
2025 J jnl
"Recon-all-clinical": Cortical surface reconstruction and analysis of heterogeneous clinical brain MRI.
Medical Image Anal.
Karthik Gopinath, Douglas N. Greve, Colin G. Magdamo, Steven E. Arnold, Sudeshna Das, Oula Puonti, Juan Eugenio Iglesias
2025 J jnl
A GPT-4o-powered framework for identifying cognitive impairment stages in electronic health records.
npj Digit. Medicine
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, Sudeshna Das
2025 J jnl
Automated phenotyping of mild cognitive impairment and Alzheimer's disease and related dementias using electronic health records.
Int. J. Medical Informatics
Ruoqi Wei, Stephanie S. Buss, Rebecca Milde, Marta Fernandes, Daniel Sumsion, Elijah Davis, Wan-Yee Kong, Yiwen Xiong, Jet Veltink, Samvrit Rao, Tara M. Westover, Lydia Petersen, Niels Turley, Arjun Singh, Sudeshna Das, Valdery Moura Junior, Manohar Ghanta, Aditya Gupta, Jennifer Kim, Alice D. Lam, Katie L. Stone, Emmanuel Mignot, Dennis Hwang, Lynn Marie Trotti, Gari D. Clifford, Umakanth Katwa, Robert J. Thomas, Shibani Mukerji, Sahar F. Zafar, M. Brandon Westover, Haoqi Sun
2025 J jnl
Deep generative priors for 3D brain analysis.
CoRR
Ana Lawry Aguila, Dina Zemlyanker, You Cheng, Sudeshna Das, Daniel C. Alexander, Oula Puonti, Annabel Sorby-Adams, W. Taylor Kimberly, Juan Eugenio Iglesias
2025 — conf
End-to-End Cortical Surface Reconstruction from Clinical Magnetic Resonance Images.
MLMI@MICCAI
Jesper Duemose Nielsen, Karthik Gopinath, Andrew Hoopes, Adrian V. Dalca, Colin G. Magdamo, Steven E. Arnold, Sudeshna Das, Axel Thielscher, Juan Eugenio Iglesias, Oula Puonti
2025 J jnl
End-to-end Cortical Surface Reconstruction from Clinical Magnetic Resonance Images.
CoRR
Jesper Duemose Nielsen, Karthik Gopinath, Andrew Hoopes, Adrian V. Dalca, Colin G. Magdamo, Steven E. Arnold, Sudeshna Das, Axel Thielscher, Juan Eugenio Iglesias, Oula Puonti
2025 J jnl
Evaluating GPT's Capability in Identifying Stages of Cognitive Impairment from Electronic Health Data.
CoRR
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
2025 J jnl
Graph AI generates neurological hypotheses validated in molecular, organoid, and clinical systems.
CoRR
Ayush Noori, Joaquín Polonuer, Katharina Meyer, Bogdan Budnik, Shad Morton, Xinyuan Wang, Sumaiya Nazeen, Yingnan He, Iñaki Arango, Lucas Vittor, Matthew Woodworth, Richard C. Krolewski, Michelle M. Li, Ninning Liu, Tushar Kamath, Evan Macosko, Dylan Ritter, Jalwa Afroz, Alexander B. H. Henderson, Lorenz Studer, Samuel G. Rodriques, Andrew White, Noa Dagan, David A. Clifton, George M. Church, Sudeshna Das, Jenny M. Tam, Vikram Khurana, Marinka Zitnik
2024 J jnl
Leveraging Pre-trained and Transformer-derived Embeddings from EHRs to Characterize Heterogeneity Across Alzheimer's Disease and Related Dementias.
CoRR
Matthew West, Colin G. Magdamo, Lily Cheng, Yingnan He, Sudeshna Das
2024 J jnl
Multi Scale Graph Neural Network for Alzheimer's Disease.
CoRR
Anya Chauhan, Ayush Noori, Zhaozhi Li, Yingnan He, Michelle M. Li, Marinka Zitnik, Sudeshna Das
2024 J jnl
Recon-all-clinical: Cortical surface reconstruction and analysis of heterogeneous clinical brain MRI.
CoRR
Karthik Gopinath, Douglas N. Greve, Colin G. Magdamo, Steven E. Arnold, Sudeshna Das, Oula Puonti, Juan Eugenio Iglesias
2023 J jnl
AI-assisted prediction of differential response to antidepressant classes using electronic health records.
npj Digit. Medicine
Yi-han Sheu, Colin G. Magdamo, Matthew Miller, Sudeshna Das, Deborah Blacker, Jordan W. Smoller
2023 J jnl
Classification of neurologic outcomes from medical notes using natural language processing.
Expert Syst. Appl.
Marta B. Fernandes, Navid Valizadeh, Haitham Alabsi, Syed A. Quadri, Ryan A. Tesh, Abigail A. Bucklin, Haoqi Sun, Aayushee Jain, Laura Brenner, Elissa M. Ye, Wendong Ge, Sarah I. Collens, Stacie Lin, Sudeshna Das, Gregory K. Robbins, Sahar F. Zafar, Shibani S. Mukerji, M. Brandon Westover
2023 — conf
Cortical Analysis of Heterogeneous Clinical Brain MRI Scans for Large-Scale Neuroimaging Studies.
MICCAI (8)
Karthik Gopinath, Douglas N. Greve, Sudeshna Das, Steven E. Arnold, Colin G. Magdamo, Juan Eugenio Iglesias
2023 J jnl
Cortical analysis of heterogeneous clinical brain MRI scans for large-scale neuroimaging studies.
CoRR
Karthik Gopinath, Douglas N. Greve, Sudeshna Das, Steven E. Arnold, Colin G. Magdamo, Juan Eugenio Iglesias
2023 J jnl
causalCmprsk: An R package for nonparametric and Cox-based estimation of average treatment effects in competing risks data.
Comput. Methods Programs Biomed.
Bella Vakulenko-Lagun, Colin G. Magdamo, Marie-Laure Charpignon, Bang Zheng, Mark W. Albers, Sudeshna Das
2022 J jnl
Construction of a confounder-free clinical MRI dataset in the Mass General Brigham system for classification of Alzheimer's disease.
Artif. Intell. Medicine
Matthew Leming, Sudeshna Das, Hyungsoon Im
2022 J jnl
Multi-confound regression adversarial network for deep learning-based diagnosis on highly heterogenous clinical data.
CoRR
Matthew Leming, Sudeshna Das, Hyungsoon Im
2022 — conf
Robust Segmentation of Brain MRI in the Wild with Hierarchical CNNs and No Retraining.
MICCAI (5)
Benjamin Billot, Colin G. Magdamo, Steven E. Arnold, Sudeshna Das, Juan Eugenio Iglesias
2022 J jnl
Robust Segmentation of Brain MRI in the Wild with Hierarchical CNNs and no Retraining.
CoRR
Benjamin Billot, Colin G. Magdamo, Sean E. Arnold, Sudeshna Das, Juan Eugenio Iglesias
2022 J jnl
Robust machine learning segmentation for large-scale analysis of heterogeneous clinical brain MRI datasets.
CoRR
Benjamin Billot, Colin G. Magdamo, Steven E. Arnold, Sudeshna Das, Juan Eugenio Iglesias
2021 J jnl
Using Deep Learning to Identify Patients with Cognitive Impairment in Electronic Health Records.
CoRR
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 F. 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
2020 J jnl
Natural Language Processing to Detect Cognitive Concerns in Electronic Health Records Using Deep Learning.
CoRR
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 F. Zafar, Nicole Benson, Lidia M. V. R. Moura, John Hsu, Bradley T. Hyman, M. Brandon Westover, Deborah Blacker, Sudeshna Das
2014 J jnl
Pain Research Forum: application of scientific social media frameworks in neuroscience.
Frontiers Neuroinformatics
Sudeshna Das, Patricia G. Mccaffrey, Megan Talkington, Neil Andrews, Stephane Corlosquet, Adrian Ivinson, Tim Clark
2014 J jnl
Semantic Web repositories for genomics data using the eXframe platform.
J. Biomed. Semant.
Emily Merrill, Stephane Corlosquet, Paolo Ciccarese, Tim Clark, Sudeshna Das
2014 — conf
Using eXframe to Build Semantic Web Genomics Repositories.
SWAT4LS
Emily Merrill, Shannan J. Ho Sui, Stephane Corlosquet, Tim Clark, Sudeshna Das
2012 J jnl
Translating standards into practice - One Semantic Web API for Gene Expression.
J. Biomed. Informatics
Helena F. Deus, Eric Prud'hommeaux, Michael Miller, Jun Zhao, James Malone, Tomasz Adamusiak, Jamie P. McCusker, Sudeshna Das, Philippe Rocca-Serra, Ronan Fox, M. Scott Marshall
2011 J jnl
An open annotation ontology for science on web 3.0.
J. Biomed. Semant.
Paolo Ciccarese, Marco Ocana, Leyla Jael García Castro, Sudeshna Das, Tim Clark
2011 — conf
Translating standards into practice: one semantic web API for gene expression.
SWAT4LS
Helena F. Deus, Jun Zhao, Jamie P. McCusker, Ronan Fox, Eric Prud'hommeaux, James Malone, Sudeshna Das, Michael Miller, Tomasz Adamusiak, Philippe Rocca-Serra, M. Scott Marshall
2011 J jnl
eXframe: reusable framework for storage, analysis and visualization of genomics experiments.
BMC Bioinform.
Amit U. Sinha, Emily Merrill, Scott A. Armstrong, Timothy W. Clark, Sudeshna Das
2009 J jnl
Building biomedical web communities using a semantically aware content management system.
Briefings Bioinform.
Sudeshna Das, Lisa Girard, Tom Green, Louis Weitzman, Alister Lewis-Bowen, Tim Clark
2009 — conf
Scientific publications on Web 3.0.
ELPUB
Mark Goetz, Tim Clark, Sudeshna Das, Lisa Girard