Author

Sourya Sengupta

Jadavpur UniversityORCID 0000-0003-1797-7072Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

Click to filter author papers

Signature Assays, Organisms & Methods

Click to filter · or open tag

Approach:statistical model· 2 Research Focus:benchmarking· 1 Research Focus:clustering· 1 Approach:deep learning· 1 Research Focus:differential expression· 1 Research Focus:dimensionality reduction· 1 Assay:electronic health records· 1 Assay:imaging· 1

Frequent Co-Authors

Budhaditya Ghosh· 1 shared Frank J. BrooksiD· 1 shared Jianquan XuiD· 1 shared Mark A. AnastasioiD· 1 shared Phuong Nguyen· 1 shared Sayan BiswasiD· 1 shared Sayan NagiD· 1 shared Shankha SanyaliD· 1 shared

Activity by Year

2017-2025 · peak 1/yr

Co-Author Collaboration Network

9 top collaborators · 16 mutual co-author links

Click any collaborator node to inspect or filter shared papers

Focal author (center)Selected co-authorORCID co-authorUnlinked name

Curved chords = mutual co-authorship

1 shared paperNeuroscience

Budhaditya Ghosh

Mutual co-authors in cluster

Author profile →

2 papers

Recent·Most cited

BioinformaticsBiomedical Optics ExpressPeer-reviewedSep 22, 2025

On the Utility of Virtual Staining for Downstream Applications as it relates to Task Network Capacity

Sourya Sengupta, Jianquan Xu, Phuong Nguyen…·Mark A. Anastasio

This study evaluates how virtual staining affects downstream tasks like segmentation and classification, showing its effectiveness depends on the task network's capacity.

2 citations

imagingdeep learning

𝕏 PostBluesky

NeurosciencebioRxivPreprintAug 8, 2017

Comparative Analysis of Non-linear Behaviour with Power Spectral Intensity Response Between Normal and Epileptic EEG Signals

Budhaditya Ghosh, Sourya Sengupta, Sayan Nag…·Shankha Sanyal

This paper compares linear and nonlinear EEG analysis methods to detect differences between normal and epileptic signals using DFA and PSI.

1 citation

electronic health recordsstatistical model

𝕏 PostBluesky