Sudeshna Das

Publication Activity (10 Years)

Years Active: 2009-2024
Publications (10 Years): 12

Top Topics

Cognitive Impairment

Top Venues

Artif. Intell. Medicine

Frontiers Neuroinformatics

J. Biomed. Semant.

Publications

Matthew West, Colin G. Magdamo, Lily Cheng, Yingnan He, Sudeshna Das
Leveraging Pre-trained and Transformer-derived Embeddings from EHRs to Characterize Heterogeneity Across Alzheimer's Disease and Related Dementias. CoRR (2024)
Karthik Gopinath, Douglas N. Greve, Sudeshna Das, Steven E. Arnold, Colin G. Magdamo, Juan Eugenio Iglesias
Cortical analysis of heterogeneous clinical brain MRI scans for large-scale neuroimaging studies. CoRR (2023)
Yi-han Sheu, Colin G. Magdamo, Matthew Miller, Sudeshna Das, Deborah Blacker, Jordan W. Smoller
AI-assisted prediction of differential response to antidepressant classes using electronic health records. npj Digit. Medicine 6 (2023)
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 Zafar, Shibani S. Mukerji, M. Brandon Westover
Classification of neurologic outcomes from medical notes using natural language processing. Expert Syst. Appl. 214 (2023)
Bella Vakulenko-Lagun, Colin G. Magdamo, Marie-Laure Charpignon, Bang Zheng, Mark W. Albers, Sudeshna Das
causalCmprsk: An R package for nonparametric and Cox-based estimation of average treatment effects in competing risks data. Comput. Methods Programs Biomed. 242 (2023)
Karthik Gopinath, Douglas N. Greve, Sudeshna Das, Steven E. Arnold, Colin G. Magdamo, Juan Eugenio Iglesias
Cortical Analysis of Heterogeneous Clinical Brain MRI Scans for Large-Scale Neuroimaging Studies. MICCAI (8) (2023)
Benjamin Billot, Colin G. Magdamo, Steven E. Arnold, Sudeshna Das, Juan Eugenio Iglesias
Robust machine learning segmentation for large-scale analysis of heterogeneous clinical brain MRI datasets. CoRR (2022)
Matthew Leming, Sudeshna Das, Hyungsoon Im
Multi-confound regression adversarial network for deep learning-based diagnosis on highly heterogenous clinical data. CoRR (2022)
Matthew Leming, Sudeshna Das, Hyungsoon Im
Construction of a confounder-free clinical MRI dataset in the Mass General Brigham system for classification of Alzheimer's disease. Artif. Intell. Medicine 129 (2022)
Benjamin Billot, Colin G. Magdamo, Steven E. Arnold, Sudeshna Das, Juan Eugenio Iglesias
Robust Segmentation of Brain MRI in the Wild with Hierarchical CNNs and No Retraining. MICCAI (5) (2022)
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 Moura, John Hsu, Alberto Serrano-Pozo, Dimitry Prokopenko, Rudolph E. Tanzi, Bradley T. Hyman, Deborah Blacker, Shibani S. Mukerji, M. Brandon Westover, Sudeshna Das
Using Deep Learning to Identify Patients with Cognitive Impairment in Electronic Health Records. CoRR (2021)
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 Moura, John Hsu, Bradley T. Hyman, M. Brandon Westover, Deborah Blacker, Sudeshna Das
Natural Language Processing to Detect Cognitive Concerns in Electronic Health Records Using Deep Learning. CoRR (2020)
Emily Merrill, Stephane Corlosquet, Paolo Ciccarese, Tim Clark, Sudeshna Das
Semantic Web repositories for genomics data using the eXframe platform. J. Biomed. Semant. 5 (S-1) (2014)
Emily Merrill, Shannan Ho Sui, Stephane Corlosquet, Tim Clark, Sudeshna Das
Using eXframe to Build Semantic Web Genomics Repositories. SWAT4LS (2014)
Sudeshna Das, Patricia G. Mccaffrey, Megan Talkington, Neil Andrews, Stephane Corlosquet, Adrian Ivinson, Tim Clark
Pain Research Forum: application of scientific social media frameworks in neuroscience. Frontiers Neuroinformatics 8 (2014)
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
Translating standards into practice - One Semantic Web API for Gene Expression. J. Biomed. Informatics 45 (4) (2012)
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
Translating standards into practice: one semantic web API for gene expression. SWAT4LS (2011)
Paolo Ciccarese, Marco Ocana, Leyla Jael García Castro, Sudeshna Das, Tim Clark
An open annotation ontology for science on web 3.0. J. Biomed. Semant. 2 (S-2) (2011)
Amit U. Sinha, Emily Merrill, Scott A. Armstrong, Timothy W. Clark, Sudeshna Das
eXframe: reusable framework for storage, analysis and visualization of genomics experiments. BMC Bioinform. 12 (2011)
Mark Goetz, Tim Clark, Sudeshna Das, Lisa Girard
Scientific publications on Web 3.0. ELPUB (2009)
Sudeshna Das, Lisa Girard, Tom Green, Louis Weitzman, Alister Lewis-Bowen, Tim Clark
Building biomedical web communities using a semantically aware content management system. Briefings Bioinform. 10 (2) (2009)