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

Benjamin Hou

National Institutes of Health

ORCID: 0000-0003-3968-1707

Also affiliated with United States National Library of Medicine, National Center for Biotechnology Information

MedicineComputer 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 5%percentile
0.512Author 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.

MRISegmentator-Abdomen: A Fully Automated Multi-Organ and Structure Segmentation Tool for T1-weighted Abdominal MRI.

Radiology(2024)10.1148/radiol.241979
Top 57%
0.278DataRank
Top 57%4 citations

Tejas Sudharshan Mathai, Pritam Mukherjee, Brandon Khoury, Boah Kim, Benjamin Hou +4 more

Papers

Driven by 16 papers — median percentile 29. Top paper: “MRISegmentator-Abdomen: A Fully Automated Multi-Organ and Structure Segmentation Tool for T1-weighted Abdominal MRI.”.

MRISegmentator-Abdomen: A Fully Automated Multi-Organ and Structure Segmentation Tool for T1-weighted Abdominal MRI.

Radiology(2024)10.1148/radiol.241979
Top 57%
0.278DataRank
Top 57%4 citations

Tejas Sudharshan Mathai, Pritam Mukherjee, Brandon Khoury, Boah Kim, Benjamin Hou +4 more

Shadow and Light: Digitally Reconstructed Radiographs for Disease Classification

arXiv (Cornell University)(2024)10.48550/arxiv.2406.03688
Top 71%
0.130DataRank
Top 71%1 citations

Qingqing Zhu, Tejas Sudarshan Mathai, Qiao Jin, ZHIYONG LU, R. Summers +1 more

Analysis of deep learning-based segmentation of lymph nodes on full-dose and reduced-dose body CT

Abdominal Radiology(2025)10.1007/s00261-025-05253-8
Top 78%
0.104DataRank
Top 78%1 citations

Tejas Sudharshan Mathai, Bohan Liu, Brandon Khoury, Naiya Patel, Olivia Wei +8 more

Leveraging Professional Radiologists' Expertise to Enhance LLMs' Evaluation for AI-generated Radiology Reports

PubMed(2024)10.1109/ichi61247.2024.00058
N/A
0DataRank · unranked
12 citations

Xiuying Chen, Qiao Jin, Benjamin Hou, Tejas Sudharshan Mathai, Pritam Mukherjee +4 more

Leveraging Professional Radiologists' Expertise to Enhance LLMs' Evaluation for Radiology Reports

PubMed(2024)10.48550/arxiv.2401.16578
N/A
0DataRank · unranked
5 citations

Xiuying Chen, Qiao Jin, Benjamin Hou, Tejas Sudharshan Mathai, Pritam Mukherjee +4 more

Entry-level guide to the use of large language models for medical research

PubMed(2024)10.48550/arxiv.2410.18856
N/A
0DataRank · unranked
2 citations

Nicholas Wan, Robert Leaman, Shubo Tian, Zhizheng Wang, Yifan Yang +18 more

Enhanced Muscle and Fat Segmentation for CT-Based Body Composition Analysis: A Comparative Study

PubMed(2024)10.48550/arxiv.2401.05294
N/A
0DataRank · unranked
0 citations

Tejas Sudharshan Mathai, Jianfei Liu, Christopher Parnell, Ronald M. Summers, Benjamin Hou

Beyond Multiple-Choice Accuracy: Real-World Challenges of Implementing Large Language Models in Healthcare

arXiv (Cornell University)(2024)10.48550/arxiv.2410.18460
N/A
0DataRank · unranked
0 citations

Qiao Jin, Qingqing Zhu, Zhizheng Wang, Francisco Álvarez, Nicholas Wan +3 more

One Year On: Assessing Progress of Multimodal Large Language Model Performance on RSNA 2024 Case of the Day Questions

Radiology(2025)10.1148/radiol.250617
N/A
0DataRank · unranked
11 citations

Pritam Mukherjee, Vivek Batheja, Kenneth C. Wang, Ronald M. Summers, ZHIYONG LU +1 more

AI Workflow, External Validation, and Development in Eye Disease Diagnosis

JAMA Network Open(2025)10.1001/jamanetworkopen.2025.17204
N/A
0DataRank · unranked
10 citations

Tiarnán D L Keenan, Elvira Agrón, Alexis Allot, Emily Guan, Bryant Duong +34 more

How well do multimodal LLMs interpret CT scans? An auto-evaluation framework for analyses

Journal of Biomedical Informatics(2025)10.1016/j.jbi.2025.104864
N/A
0DataRank · unranked
7 citations

Benjamin Hou, Tejas Sudharshan Mathai, Pritam Mukherjee, Qiao Jin, Xiuying Chen +5 more

Segment-and-Classify: ROI-Guided Generalizable Contrast Phase Classification in CT Using XGBoost

arXiv (Cornell University)(2025)10.48550/arxiv.2501.14066
N/A
0DataRank · unranked
0 citations

Tejas Sudharshan Mathai, Pritam Mukherjee, Xinya Wang, Ronald M. Summers, Zhiyong Lub +1 more

Feasibility of Using the Privacy-preserving Large Language Model Vicuna for Labeling Radiology Reports

Radiology(2023)10.1148/radiol.231147
N/A
0DataRank · unranked
111 citations

Benjamin Hou, Ricardo Bigolin Lanfredi, Ronald M. Summers, Pritam Mukherjee

Longitudinal Assessment of Lung Lesion Burden in CT

arXiv (Cornell University)(2025)10.48550/arxiv.2504.06924
N/A
0DataRank · unranked
0 citations

Benjamin Hou, Ronald M. Summers, Tejas Sudharshan Mathai

Deep Learning Segmentation of Ascites on Abdominal CT Scans for Automatic Volume Quantification

Radiology Artificial Intelligence(2024)10.1148/ryai.230601
N/A
0DataRank · unranked
13 citations

Sungwon Lee, Jung‐Min Lee, Christopher Koh, Jing Xiao, Perry J. Pickhardt +2 more

Enhanced muscle and fat segmentation for CT-based body composition analysis: a comparative study

International Journal of Computer Assisted Radiology and Surgery(2024)10.1007/s11548-024-03167-2
N/A
0DataRank · unranked
11 citations

Tejas Sudharshan Mathai, Jianfei Liu, Christopher Parnell, Ronald M. Summers, Benjamin Hou