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

Yamin Arefeen

The University of Texas MD Anderson Cancer Center

ORCID: 0000-0003-2194-1945

Also affiliated with The University of Texas at Austin

MedicineNeurosciencePhysics and Astronomy

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 3%percentile
1.1Author 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.

A dataset and benchmark for hospital course summarization with adapted large language models

Journal of the American Medical Informatics Association(2024)10.1093/jamia/ocae312
Top 19%
1.1DataRank
Top 19%30 citations

Dave Van Veen, Yamin Arefeen, Jason Hom, Christian Blüthgen, Eduardo Pontes Reis +7 more

Papers

Driven by 8 papers — median percentile 81. Top paper: “A dataset and benchmark for hospital course summarization with adapted large language models”.

A dataset and benchmark for hospital course summarization with adapted large language models

Journal of the American Medical Informatics Association(2024)10.1093/jamia/ocae312
Top 19%
1.1DataRank
Top 19%30 citations

Dave Van Veen, Yamin Arefeen, Jason Hom, Christian Blüthgen, Eduardo Pontes Reis +7 more

Zero-DeepSub: Zero-Shot Deep Subspace Reconstruction for Rapid Multiparametric Quantitative MRI Using 3D-QALAS

PubMed(2023)10.48550/arxiv.2307.01410
N/A
0.330DataRank · unranked
7 citations

Yamin Arefeen, Jaejin Cho, Shohei Fujita, Xiaoqing Wang, P. Ellen Grant +5 more

Latent signal models: Learning compact representations of signal evolution for improved time‐resolved, multi‐contrast MRI

Magnetic Resonance in Medicine(2023)10.1002/mrm.29657
N/A
0.312DataRank · unranked
7 citations

Junshen Xu, Molin Zhang, Zijing Dong, Fuyixue Wang, Jacob White +3 more

Zero‐DeepSub: Zero‐shot deep subspace reconstruction for rapid multiparametric quantitative MRI using 3D‐QALAS

Magnetic Resonance in Medicine(2024)10.1002/mrm.30018
N/A
0DataRank · unranked
19 citations

Yamin Arefeen, Jaejin Cho, Shohei Fujita, Xiaoqing Wang, P. Ellen Grant +5 more

Scan‐specific artifact reduction in k‐space (SPARK) neural networks synergize with physics‐based reconstruction to accelerate MRI

Magnetic Resonance in Medicine(2021)10.1002/mrm.29036
N/A
0DataRank · unranked
1 citations

Onur Beker, Jaejin Cho, Heng Yu, Elfar Adalsteinsson, Berkin Bilgic̦ +1 more

Robust multi‐coil MRI reconstruction via self‐supervised denoising

Magnetic Resonance in Medicine(2025)10.1002/mrm.30591
N/A
0DataRank · unranked
4 citations

Marius Arvinte, Sidharth Kumar, Yamin Arefeen, Jonathan I. Tamir, Asad Aali

Stochastic‐offset‐enhanced restricted slice excitation and 180° refocusing designs with spatially non‐linear ΔB0 shim array fields

Magnetic Resonance in Medicine(2023)10.1002/mrm.29827
N/A
0DataRank · unranked
6 citations

Nicolas Arango, Yamin Arefeen, Georgy Guryev, Jason Stockmann, Jacob White +2 more

SubZero: Subspace Zero-Shot MRI Reconstruction

arXiv (Cornell University)(2023)10.48550/arxiv.2311.17251
N/A
0DataRank · unranked
0 citations

Yamin Arefeen, Berkin Bilgic̦, Heng Yu