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Disambiguation of "Das, Sudeshna"

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causalCmprsk: An R package for nonparametric and Cox-based estimation of average treatment effects in competing risks data.

, , , , , and . Comput. Methods Programs Biomed., (December 2023)

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To differ between persons with the same name, the academic degree and the title of an important publication will be displayed. You can also use the button next to the name to display some publications already assigned to the person.

Sudeshna Dey

Romy Das

Bio-economic modeling of soil resource conservation in Mid Hill Region of Nepal. Uni Gießen, (2009)

Anita Das

Arabindo Das

Amitabh Das

 

Other publications of authors with the same name

Robust machine learning segmentation for large-scale analysis of heterogeneous clinical brain MRI datasets., , , , and . CoRR, (2022)Cortical Analysis of Heterogeneous Clinical Brain MRI Scans for Large-Scale Neuroimaging Studies., , , , , and . MICCAI (8), volume 14227 of Lecture Notes in Computer Science, page 35-45. Springer, (2023)eXframe: reusable framework for storage, analysis and visualization of genomics experiments., , , , and . BMC Bioinform., (2011)Building biomedical web communities using a semantically aware content management system., , , , , and . Briefings Bioinform., 10 (2): 129-138 (2009)Classification of neurologic outcomes from medical notes using natural language processing., , , , , , , , , and 8 other author(s). Expert Syst. Appl., (2023)Gender tagging of named entities using retrieval-assisted multi-context aggregation: An unsupervised approach., and . J. Assoc. Inf. Sci. Technol., 74 (4): 461-475 (April 2023)Using eXframe to Build Semantic Web Genomics Repositories., , , , and . SWAT4LS, volume 1320 of CEUR Workshop Proceedings, CEUR-WS.org, (2014)Robust Segmentation of Brain MRI in the Wild with Hierarchical CNNs and No Retraining., , , , and . MICCAI (5), volume 13435 of Lecture Notes in Computer Science, page 538-548. Springer, (2022)Context-sensitive gender inference of named entities in text., and . Inf. Process. Manag., 58 (1): 102423 (2021)Multi-confound regression adversarial network for deep learning-based diagnosis on highly heterogenous clinical data., , and . CoRR, (2022)