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

Shantanu Ghosh

ORCID: 0000-0003-4085-541X
Computer ScienceMathematicsBiochemistry, Genetics and Molecular Biology

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.

Mammo-FM: Breast-specific foundational model for Integrated Mammographic Diagnosis, Prognosis, and Reporting

arXiv (Cornell University)(2025)10.48550/arxiv.2512.00198
Top 100%
0DataRank
Top 100%0 citations

Vedant Joshi, Syed, Rayan, Budhraja, Param, A. Kassem, Morrison, Katelyn C. +8 more

Papers

Driven by 9 papers — median percentile 0. Top paper: “Deep propensity network using a sparse autoencoder for estimation of treatment effects”.

Deep propensity network using a sparse autoencoder for estimation of treatment effects

Journal of the American Medical Informatics Association(2020)10.1093/jamia/ocaa346
N/A
0DataRank · unranked
15 citations

Jiang Bian, Yi Guo, Mattia Prosperi, Shantanu Ghosh

Propensity score synthetic augmentation matching using generative adversarial networks (PSSAM-GAN)

Computer Methods and Programs in Biomedicine Update(2021)10.1016/j.cmpbup.2021.100020
N/A
0DataRank · unranked
19 citations

Christina Boucher, Jiang Bian, Mattia Prosperi, Shantanu Ghosh

Causal AI with Real World Data: Do Statins Protect from Alzheimer's Disease Onset?

PubMed(2021)10.1145/3472813.3473206
N/A
0DataRank · unranked
4 citations

Shantanu Ghosh, Zhaoyi Chen, Marco Salemi, Tianchen Lyu, Jinying Zhao +2 more

Distilling BlackBox to Interpretable Models for Efficient Transfer Learning

Lecture notes in computer science(2023)10.1007/978-3-031-43895-0_59
N/A
0DataRank · unranked
2 citations

Ke Yu, Kayhan Batmanghelich, Shantanu Ghosh

DR-VIDAL -- Doubly Robust Variational Information-theoretic Deep Adversarial Learning for Counterfactual Prediction and Treatment Effect Estimation on Real World Data

arXiv (Cornell University)(2023)10.48550/arxiv.2303.04201
N/A
0DataRank · unranked
0 citations

Feng, Zheng, Jiang Bian, Kevin Butler, Mattia Prosperi, Shantanu Ghosh

Anatomy-specific Progression Classification in Chest Radiographs via Weakly Supervised Learning

Radiology Artificial Intelligence(2024)10.1148/ryai.230277
N/A
0DataRank · unranked
2 citations

Shantanu Ghosh, Zhexiong Liu, Christopher Deible, Clare B. Poynton, Kayhan Batmanghelich +1 more

Semantic Consistency-Based Uncertainty Quantification for Factuality in Radiology Report Generation

arXiv (Cornell University)(2024)10.48550/arxiv.2412.04606
N/A
0DataRank · unranked
0 citations

Weichao Zhou, Shantanu Ghosh, Kayhan Batmanghelich, Wenchao Li, Chenyu Wang

Semantic Consistency-Based Uncertainty Quantification for Factuality in Radiology Report Generation

PubMed(2025)10.18653/v1/2025.findings-naacl.95
N/A
0DataRank · unranked
1 citations

Weichao Zhou, Shantanu Ghosh, Kayhan Batmanghelich, Wenchao Li, Chenyu Wang

Mammo-FM: Breast-specific foundational model for Integrated Mammographic Diagnosis, Prognosis, and Reporting

arXiv (Cornell University)(2025)10.48550/arxiv.2512.00198
Top 100%
0DataRank
Top 100%0 citations

Vedant Joshi, Syed, Rayan, Budhraja, Param, A. Kassem, Morrison, Katelyn C. +8 more