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

Siddhesh Thakur

ORCID: 0000-0003-4807-2495
MedicineNeuroscienceComputer Science

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 1%percentile
5.2Author DataRank

Indexed papers

3in 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 3 indexed papers 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.

Expert tumor annotations and radiomics for locally advanced breast cancer in DCE-MRI for ACRIN 6657/I-SPY1

Scientific Data(2022)10.1038/s41597-022-01555-4
Top 7%
3.4DataRank
Top 7%18 citations

Sarthak Pati, Megh Bhalerao, Siddhesh Thakur, Nariman Jahani, Vivian Belenky +7 more

Papers

Driven by 15 papers — median percentile 87. Top paper: “Expert tumor annotations and radiomics for locally advanced breast cancer in DCE-MRI for ACRIN 6657/I-SPY1”.

Expert tumor annotations and radiomics for locally advanced breast cancer in DCE-MRI for ACRIN 6657/I-SPY1

Scientific Data(2022)10.1038/s41597-022-01555-4
Top 7%
3.4DataRank
Top 7%18 citations

Sarthak Pati, Megh Bhalerao, Siddhesh Thakur, Nariman Jahani, Vivian Belenky +7 more

Reproducibility analysis of multi‐institutional paired expert annotations and radiomic features of the Ivy Glioblastoma Atlas Project (Ivy GAP) dataset

Medical Physics(2020)10.1002/mp.14556
Top 13%
1.6DataRank
Top 13%43 citations

Ruchika Verma, Hamed Akbari, Michel Bilello, Virginia Hill, Chiharu Sako +11 more

GaNDLF: the generally nuanced deep learning framework for scalable end-to-end clinical workflows

Communications Engineering(2023)10.1038/s44172-023-00066-3
N/A
1.0DataRank · unranked
36 citations

Siddhesh Thakur, İbrahim Ethem Hamamcı, Ujjwal Baid, Bhakti Baheti, Megh Bhalerao +37 more

The federated tumor segmentation (FeTS) tool: an open-source solution to further solid tumor research

Physics in Medicine and Biology(2022)10.1088/1361-6560/ac9449
N/A
0.578DataRank · unranked
46 citations

Ujjwal Baid, Brandon Edwards, Micah Sheller, Patrick Foley, G. Anthony Reina +9 more

Optimization of Deep Learning Based Brain Extraction in MRI for Low Resource Environments

Lecture notes in computer science(2022)10.1007/978-3-031-08999-2_12
N/A
0.312DataRank · unranked
7 citations

Sarthak Pati, Ravi Panchumarthy, Deepthi Karkada, Junwen Wu, Dmitry Kurtaev +4 more

TMIC-60. BRATS-PATH: ASSESSING HETEROGENEOUS HISTOPATHOLOGIC REGIONS IN GLIOBLASTOMA

Neuro-Oncology(2024)10.1093/neuonc/noae165.1238
Top 60%
0.253DataRank
Top 60%1 citations

Shahriar Faghani, Mana Moassefi, Ujjwal Baid, Verena Chung, Sarthak Pati +17 more

Pan-Cancer Tumor Infiltrating Lymphocyte Detection based on Federated Learning

(2024)10.1109/bigdata62323.2024.10825083
N/A
0DataRank · unranked
1 citations

Sarthak Pati, Tahsin Kurç, Rajarsi Gupta, Erich Bremer, Shahira Abousamra +4 more

Towards fair decentralized benchmarking of healthcare AI algorithms with the Federated Tumor Segmentation (FeTS) challenge

Nature Communications(2025)10.1038/s41467-025-60466-1
N/A
0DataRank · unranked
11 citations

Ujjwal Baid, Sarthak Pati, Akis Linardos, Brandon Edwards, Micah Sheller +95 more

Brain extraction on MRI scans in presence of diffuse glioma: Multi-institutional performance evaluation of deep learning methods and robust modality-agnostic training

NeuroImage(2020)10.1016/j.neuroimage.2020.117081
N/A
0DataRank · unranked
84 citations

Jimit Doshi, Sarthak Pati, Saima Rathore, Chiharu Sako, Michel Bilello +19 more

Optimization of deep learning models for inference in low resource environments

Computers in Biology and Medicine(2025)10.1016/j.compbiomed.2025.110615
N/A
0DataRank · unranked
2 citations

Sarthak Pati, Junwen Wu, Ravi Panchumarthy, Deepthi Karkada, Alexander Kozlov +8 more

Systematic Evaluation of Image Tiling Adverse Effects on Deep Learning Semantic Segmentation

Frontiers in Neuroscience(2020)10.3389/fnins.2020.00065
N/A
0DataRank · unranked
54 citations

Ravi Panchumarthy, Siddhesh Thakur, Alexei Bastidas, Spyridon Bakas, G. Anthony Reina

The Cancer Imaging Phenomics Toolkit (CaPTk): Technical Overview

Lecture notes in computer science(2020)10.1007/978-3-030-46643-5_38
N/A
0DataRank · unranked
90 citations

Ashish Singh, Saima Rathore, Aimilia Gastounioti, Mark Bergman, Phuc Ngo +20 more

Skull-Stripping of Glioblastoma MRI Scans Using 3D Deep Learning

Lecture notes in computer science(2020)10.1007/978-3-030-46640-4_6
N/A
0DataRank · unranked
29 citations

Jimit Doshi, Sarthak Pati, Sung Min Ha, Chiharu Sako, Sanjay N. Talbar +5 more

GaNDLF: A Generally Nuanced Deep Learning Framework for Scalable End-to-End Clinical Workflows in Medical Imaging

Edinburgh Research Explorer (University of Edinburgh)(2021)10.48550/arxiv.2103.01006
N/A
0DataRank · unranked
10 citations

Siddhesh Thakur, Bhalerao, Megh, Ujjwal Baid, Bhakti Baheti, Megh Bhalerao +21 more

Clinically Deployed Computational Assessment of Multiple Sclerosis Lesions

Frontiers in Medicine(2022)10.3389/fmed.2022.797586
N/A
0DataRank · unranked
9 citations

Matthew K. Schindler, Michel Bilello, Spyridon Bakas, Siddhesh Thakur