Author

Semanti Das

Indian Institute of Science BangalorePrimary ORCID profile (0009-0006-8629-4776 · 2 papers)Unclaimed ORCID profile · follow to get notified of new preprints

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Same name, identified by ORCID

Semanti DasiD2 papers · Tata Institute of Fundamental Research

Biology Disciplines

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Bioinformatics· 2

Signature Assays, Organisms & Methods

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Assay:imaging· 2 Research Focus:benchmarking· 1 Research Focus:cell type annotation· 1 Approach:contrastive learning· 1 Approach:deep learning· 1 Organism:human· 1

Frequent Co-Authors

Biswadip Basu MallikiD· 2 shared Rahul Talukdar· 2 shared Shreyan KunduiD· 2 shared Souradeep MukhopadhyayiD· 2 shared N K Deb Roy· 1 shared Nirban Roy· 1 shared Soumili Basu· 1 shared

Activity by Year

2024-2026 · peak 1/yr

Co-Author Collaboration Network

7 top collaborators · 19 mutual co-author links

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2 shared papersBioinformatics

Biswadip Basu MallikORCID

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2 papers

Recent·Most cited

Majority-LCL: Towards Malaria Cell Detection using Label Contrastive Learning and Majority voting Ensembling

Shreyan Kundu, Rahul Talukdar, N K Deb Roy, Semanti Das, Soumili Basu, Souradeep Mukhopadhyay, Biswadip Basu Mallik

This paper introduces a malaria cell detection method combining label contrastive learning and majority voting ensembling to improve diagnostic accuracy using microscopic images.

Information systems engineering and management · Jan 1, 2026Peer-reviewedBioinformatics

RAF2Net: Automated grading of Renal cell Carcinoma utilizing Attention-enhanced deep learning models through Feature Fusion

Shreyan Kundu, Nirban Roy, Rahul Talukdar, Semanti Das, Souradeep Mukhopadhyay, Biswadip Basu Mallik

RAF2Net is a deep learning model for automated RCC grading using attention-enhanced feature fusion, achieving over 92% accuracy on the KMC dataset.

bioRxiv · Jul 22, 2024 · PreprintBioinformatics