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

Attila Fehér

Yale University

ORCID: 0000-0002-2561-4282
Medicine

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 7%percentile
0.104Author 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.

The REgistry of Flow and Perfusion Imaging for Artificial INtelligEnce with PET (REFINE PET): Rationale and Design

medRxiv(2025)10.1101/2025.07.10.25330435
Top 78%
0.104DataRank
Top 78%1 citations

Mark A. Lemley, Aakash Shanbhag, Jacek Kwieciński, Robert J.H. Miller, Paul Kavanagh +24 more

Papers

Driven by 19 papers — median percentile 22. Top paper: “The REgistry of Flow and Perfusion Imaging for Artificial INtelligEnce with PET (REFINE PET): Rationale and Design”.

The REgistry of Flow and Perfusion Imaging for Artificial INtelligEnce with PET (REFINE PET): Rationale and Design

medRxiv(2025)10.1101/2025.07.10.25330435
Top 78%
0.104DataRank
Top 78%1 citations

Mark A. Lemley, Aakash Shanbhag, Jacek Kwieciński, Robert J.H. Miller, Paul Kavanagh +24 more

Segmentation-Free PVC for Cardiac SPECT Using a Densely-Connected Multi-Dimensional Dynamic Network

IEEE Transactions on Medical Imaging(2022)10.1109/tmi.2022.3226604
N/A
0DataRank · unranked
14 citations

Zhao Liu, Luyao Shi, Kathleen Greco, Xiongchao Chen, Bo Zhou +8 more

Novel Cardiac Computed Tomography Methods for the Assessment of Anthracycline Induced Cardiotoxicity

Frontiers in Cardiovascular Medicine(2022)10.3389/fcvm.2022.875150
N/A
0DataRank · unranked
8 citations

Lauren A. Baldassarre, Albert J. Sinusas, Attila Fehér

Role of Caveolae in the Development of Microvascular Dysfunction and Hyperglycemia in Type 2 Diabetes

Frontiers in Physiology(2022)10.3389/fphys.2022.825018
N/A
0DataRank · unranked
6 citations

Katie Anne Fopiano, Vijay Patel, Attila Fehér, Zsolt Bagi, Yanna Tian

Comparison of the prognostic value between quantification and visual estimation of coronary calcification from attenuation CT in patients undergoing SPECT myocardial perfusion imaging

The International Journal of Cardiovascular Imaging(2023)10.1007/s10554-023-02980-1
N/A
0DataRank · unranked
13 citations

Konrad Pieszko, Aakash Shanbhag, Mark Lemley, Robert J.H. Miller, Cathleen Huang +7 more

CT attenuation correction improves quantitative risk prediction by cardiac SPECT in obese patients

European Journal of Nuclear Medicine and Molecular Imaging(2023)10.1007/s00259-023-06484-x
N/A
0DataRank · unranked
8 citations

Konrad Pieszko, Aakash Shanbhag, Mark Lemley, Bryan Bednarski, Robert J.H. Miller +7 more

99mTc/123I Dual-Radionuclide Correction for Self-Scatter, Down-Scatter, and Tailing Effect for a CZT SPECT With Varying Tracer Distributions

IEEE Transactions on Radiation and Plasma Medical Sciences(2023)10.1109/trpms.2023.3297443
N/A
0DataRank · unranked
4 citations

Peng Fan, Huidong Xie, Xiongchao Chen, Nabil E. Boutagy, Attila Fehér +4 more

The Association Between Obstructive Sleep Apnea and Abnormal 82Rubidium Cardiac PET Perfusion Myocardial Flow Reserve

JACC. Cardiovascular imaging(2023)10.1016/j.jcmg.2022.11.024
N/A
0DataRank · unranked
2 citations

Stephanie Thorn, Attila Fehér, Jia Hong Chen, Albert J. Sinusas, H. Klar Yaggi +2 more

AI-derived epicardial fat measurements improve cardiovascular risk prediction from myocardial perfusion imaging

npj Digital Medicine(2024)10.1038/s41746-024-01020-z
N/A
0DataRank · unranked
39 citations

Aakash Shanbhag, Aditya Killekar, Mark Lemley, Bryan Bednarski, Serge D. Van Kriekinge +11 more

Impaired Myocardial Flow Reserve on 82 Rubidium Positron Emission Tomography/Computed Tomography in Patients With Systemic Sclerosis

The Journal of Rheumatology(2021)10.3899/jrheum.210040
N/A
0DataRank · unranked
18 citations

Nabil E. Boutagy, Evangelos K. Oikonomou, Stephanie Thorn, Yi-Hwa Liu, Edward J. Miller +3 more

Automated vessel-specific coronary artery calcification quantification with deep learning in a large multi-centre registry

European Heart Journal - Cardiovascular Imaging(2024)10.1093/ehjci/jeae045
N/A
0DataRank · unranked
24 citations

Aakash Shanbhag, Jianhang Zhou, Anna M. Michałowska, Mark Lemley, Robert J.H. Miller +12 more

Multi-modality imaging for assessment of the microcirculation in peripheral artery disease: Bench to clinical practice

American Heart Journal Plus Cardiology Research and Practice(2024)10.1016/j.ahjo.2024.100400
N/A
0DataRank · unranked
3 citations

Attila Fehér, Kim G. Smolderen, Carlos Mena‐Hurtado, Albert J. Sinusas, Santiago Callegari

Contrast‐enhanced computed tomography for ex vivo assessment of human kidneys: A proof‐of‐concept study

Artificial Organs(2024)10.1111/aor.14840
N/A
0DataRank · unranked
1 citations

Jenna DiRito, Owen Richfield, John C. Stendahl, Matthew Harris, Susann Spindler +13 more

AI-based volumetric six-tissue body composition quantification from CT cardiac attenuation scans enhances mortality prediction: multicenter study

medRxiv(2024)10.1101/2024.07.30.24311224
N/A
0DataRank · unranked
2 citations

Anna M. Michałowska, Aakash Shanbhag, Robert J.H. Miller, Jolien Geers, Wenhao Zhang +18 more

The REgistry of Flow and Perfusion Imaging for Artificial Intelligence with positron emission tomography (REFINE PET):Rationale and design

Journal of Nuclear Cardiology(2025)10.1016/j.nuclcard.2025.102449
N/A
0DataRank · unranked
17 citations

Mark Lemley, Aakash Shanbhag, Jacek Kwieciński, Robert J.H. Miller, P B Kavanagh +24 more

AI-based volumetric six-tissue body composition quantification from CT cardiac attenuation scans for mortality prediction: a multicentre study

The Lancet Digital Health(2025)10.1016/j.landig.2025.02.002
N/A
0DataRank · unranked
10 citations

Anna M Marcinkiewicz, Aakash Shanbhag, Robert J.H. Miller, Jolien Geers, Wenhao Zhang +18 more

Coronary microvascular dysfunction in systemic inflammatory diseases: From pathophysiology and prevalence to diagnosis and management

Journal of Nuclear Cardiology(2025)10.1016/j.nuclcard.2025.102504
N/A
0DataRank · unranked
4 citations

Kenneth Williams, Brittany Weber, Attila Fehér, Helene DiGregorio

Integrating perfusion with AI–derived coronary calcium on CT attenuation scans to improve selection of low-risk studies for stress-only SPECT myocardial perfusion imaging

Journal of Nuclear Cardiology(2025)10.1016/j.nuclcard.2025.102482
N/A
0DataRank · unranked
4 citations

Orit Barrett, Aakash Shanbhag, Alan Rozanski, Damini Dey, Mark Lemley +12 more

AI-Defined Cardiac Anatomy Improves Risk Stratification of Hybrid Perfusion Imaging

JACC. Cardiovascular imaging(2024)10.1016/j.jcmg.2024.01.006
N/A
0DataRank · unranked
33 citations

Aakash Shanbhag, Aditya Killekar, Mark Lemley, Bryan Bednarski, Paul Kavanagh +10 more