🏆 Finalist — NIH Data Sharing Index (“S-Index”) Challenge

Koushik Biswas

Indraprastha Institute of Information Technology Delhi

ORCID: 0000-0002-9818-8966

Also affiliated with Indian Institute of Technology Delhi, Indian Institute of Technology Kanpur

Computer ScienceMedicineEarth and Planetary Sciences

Pilot corpus only

This score is computed over theSindex pilot corpus and does not cover the full scientific literature. Scores are relative to papers we have ingested — papers, authors, and institutions outside the pilot are not represented. Methodology.

Top 100%percentile
0Author DataRank

Indexed papers

1in pilot corpus
datarank_citation_only_1hop_v6· scope data_onlyMethodology
Why this DataRank?

An author's DataRank is the sum of the DataRanks of all 1 indexed paper attributed to them. A prolific author with many moderate-impact papers can outrank one with a single high-impact paper.

Author scores recompute whenever paper DataRanks are refreshed, so this number lags the underlying paper scores by at most one batch run.

Read the full methodology →

Top data-sharing exemplar

The highest-impact dataset this researcher has shared, ranked by DataRank — the single contribution doing the most to lift their data-sharing standing.

Detection of Peri-Pancreatic Edema using Deep Learning and Radiomics Techniques

arXiv (Cornell University)(2024)10.48550/arxiv.2404.17064
Top 100%
0DataRank
Top 100%0 citations

Debesh Jha, Koushik Biswas, Zheyuan Zhang, Yury Velichko, Cemal Yazıcı +7 more

Papers

Driven by 9 papers — median percentile 0. Top paper: “CT Liver Segmentation via PVT-based Encoding and Refined Decoding”.

CT Liver Segmentation via PVT-based Encoding and Refined Decoding

arXiv (Cornell University)(2024)10.48550/arxiv.2401.09630
N/A
0.104DataRank · unranked
1 citations

Nikhil Kumar Tomar, Koushik Biswas, Görkem Durak, Alpay Medetalibeyoğlu, Matthew Antalek +5 more

Frequency-Based Federated Domain Generalization for Polyp Segmentation

arXiv (Cornell University)(2024)10.48550/arxiv.2410.02044
N/A
0DataRank · unranked
1 citations

Debesh Jha, Koushik Biswas, Ulaş Bağcı, Hongyi Pan

Detection of Peri-Pancreatic Edema using Deep Learning and Radiomics Techniques

arXiv (Cornell University)(2024)10.48550/arxiv.2404.17064
Top 100%
0DataRank
Top 100%0 citations

Debesh Jha, Koushik Biswas, Zheyuan Zhang, Yury Velichko, Cemal Yazıcı +7 more

PAM-UNet: Shifting Attention on Region of Interest in Medical Images

arXiv (Cornell University)(2024)10.48550/arxiv.2405.01503
N/A
0DataRank · unranked
0 citations

Debesh Jha, Vandan Gorade, Koushik Biswas, Hongyi Pan, Zheyuan Zhang +5 more

Uncertainty-Guided Cross Attention Ensemble Mean Teacher for Semi-supervised Medical Image Segmentation

arXiv (Cornell University)(2024)10.48550/arxiv.2412.15380
N/A
0DataRank · unranked
0 citations

Amit Soni Arya, Koushik Biswas, Gennaro, Nicol`o, Vedat Çiçek, Görkem Durak +3 more

Ethical framework for responsible foundational models in medical imaging

Frontiers in Medicine(2025)10.3389/fmed.2025.1544501
N/A
0DataRank · unranked
13 citations

Görkem Durak, Abhijit Das, Jasmer Sanjotra, Onkar Susladkar, Suramyaa Sarkar +31 more

Is Long Range Sequential Modeling Necessary For Colorectal Tumor Segmentation?

arXiv (Cornell University)(2025)10.48550/arxiv.2502.07120
N/A
0DataRank · unranked
0 citations

Koushik Biswas, Görkem Durak, Gulsah Ozden, Mustafa Adlı, Ulaş Bağcı +1 more

Detection of Peri-Pancreatic Edema using Deep Learning and Radiomics Techniques

PubMed(2024)10.1109/embc53108.2024.10782032
N/A
0DataRank · unranked
3 citations

Debesh Jha, Koushik Biswas, Zheyuan Zhang, Yury Velichko, Cemal Yazıcı +7 more

Is Long Range Sequential Modeling Necessary for Colorectal Tumor Segmentation?

(2025)10.1109/isbi60581.2025.10980861
N/A
0DataRank · unranked
0 citations

Koushik Biswas, Görkem Durak, Gulsah Ozden, Mustafa Adlı, Ulaş Bağcı +1 more