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ORCIDSudeshna Das 0001
Person information
- affiliation: Massachusetts General Hospital, Cambridge, USA
- affiliation: Harvard Medical School, Boston, USA
Other persons with the same name
- Sudeshna Das 0002
![[0000-0002-2112-6986]](https://dblp1.uni-trier.de/img/orcid-mark.12x12.png "0000-0002-2112-6986")
— IIT Kharagpur, India
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Journal Articles
- 2023
[j10]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: 107819 (2023)- [j9]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: 119171 (2023) - [j8]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) - 2022
- [j7]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: 102309 (2022) - 2014
- [j6]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): S3 (2014) - [j5]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: 21 (2014) - 2012
- [j4]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): 782-794 (2012) - 2011
- [j3]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): S4 (2011) - [j2]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: 452 (2011) - 2009
- [j1]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): 129-138 (2009)
Conference and Workshop Papers
- 2023
- [c5]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: 35-45 - 2022
- [c4]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: 538-548 - 2014
- [c3]Emily Merrill, Shannan J. Ho Sui, Stephane Corlosquet, Tim Clark, Sudeshna Das:
Using eXframe to Build Semantic Web Genomics Repositories. SWAT4LS 2014 - 2011
- [c2]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: 6-7 - 2009
- [c1]Mark Goetz, Tim Clark, Sudeshna Das, Lisa Girard:
Scientific publications on Web 3.0. ELPUB 2009: 107-129
Informal and Other Publications
- 2023
- [i6]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 abs/2305.01827 (2023) - 2022
- [i5]Benjamin Billot, Colin G. Magdamo, Sean E. Arnold, Sudeshna Das, Juan Eugenio Iglesias:
Robust Segmentation of Brain MRI in the Wild with Hierarchical CNNs and no Retraining. CoRR abs/2203.01969 (2022) - [i4]Matthew Leming, Sudeshna Das, Hyungsoon Im:
Multi-confound regression adversarial network for deep learning-based diagnosis on highly heterogenous clinical data. CoRR abs/2205.02885 (2022) - [i3]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 abs/2209.02032 (2022) - 2021
- [i2]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:
Using Deep Learning to Identify Patients with Cognitive Impairment in Electronic Health Records. CoRR abs/2111.09115 (2021) - 2020
- [i1]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:
Natural Language Processing to Detect Cognitive Concerns in Electronic Health Records Using Deep Learning. CoRR abs/2011.06489 (2020)
Coauthor Index
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