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

Abhinav K. Jha

Washington University in St. Louis

ORCID: 0000-0002-4795-4878

Also affiliated with Mallinckrodt (United States), Parul University, Indian Institute of Information Technology Senapati, Manipur, Manav Rachna International Institute of Research and Studies

MedicineEngineering

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
0.548Author 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.

Using synthetic MR images for distortion correction

Developmental Cognitive Neuroscience(2023)10.1016/j.dcn.2023.101234
Top 36%
0.548DataRank
Top 36%12 citations

Andrew N. Van, Ryland L. Miller, Nicole A. Seider, Scott Marek, Annie Zheng +17 more

Papers

Driven by 12 papers — median percentile 64. Top paper: “Using synthetic MR images for distortion correction”.

Using synthetic MR images for distortion correction

Developmental Cognitive Neuroscience(2023)10.1016/j.dcn.2023.101234
Top 36%
0.548DataRank
Top 36%12 citations

Andrew N. Van, Ryland L. Miller, Nicole A. Seider, Scott Marek, Annie Zheng +17 more

Objective Task-Based Evaluation of Artificial Intelligence-Based Medical Imaging Methods

PET Clinics(2021)10.1016/j.cpet.2021.06.013
N/A
0DataRank · unranked
42 citations

Kyle J. Myers, Nancy A. Obuchowski, Ziping Liu, Md Ashequr Rahman, Babak Saboury +3 more

A Bayesian approach to tissue-fraction estimation for oncological PET segmentation

Physics in Medicine and Biology(2021)10.1088/1361-6560/ac01f4
N/A
0DataRank · unranked
19 citations

Joyce Mhlanga, Richard Laforest, Paul-Robert Derenoncourt, Barry A. Siegel, Abhinav K. Jha +1 more

A Projection-Domain Low-Count Quantitative SPECT Method for ɑ-Particle-Emitting Radiopharmaceutical Therapy

IEEE Transactions on Radiation and Plasma Medical Sciences(2022)10.1109/trpms.2022.3175435
N/A
0DataRank · unranked
27 citations

Nadia Benabdallah, Diane S. Abou, Brian C. Baumann, Farrokh Dehdashti, David H. Ballard +7 more

Need for objective task‐based evaluation of deep learning‐based denoising methods: A study in the context of myocardial perfusion SPECT

Medical Physics(2023)10.1002/mp.16407
N/A
0DataRank · unranked
29 citations

Md Ashequr Rahman, Richard Laforest, Thomas H. Schindler, Robert J. Gropler, Richard L. Wahl +3 more

Carotid atherosclerotic plaque segmentation in multi-weighted MRI using a two-stage neural network: advantages of training with high-resolution imaging and histology

Frontiers in Cardiovascular Medicine(2023)10.3389/fcvm.2023.1127653
N/A
0DataRank · unranked
7 citations

Jie Zheng, Mohamed A. Zayed, Jeffrey E. Saffitz, Pamela K. Woodard, Abhinav K. Jha +1 more

Development and task-based evaluation of a scatter-window projection and deep learning-based transmission-less attenuation compensation method for myocardial perfusion SPECT

PubMed(2023)10.1117/12.2654500
N/A
0DataRank · unranked
5 citations

Md Ashequr Rahman, Craig K. Abbey, Barry A. Siegel, Abhinav K. Jha, Zitong Yu

Development and task-based evaluation of a scatter-window projection and deep learning-based transmission-less attenuation compensation method for myocardial perfusion SPECT

arXiv (Cornell University)(2023)10.48550/arxiv.2303.00197
N/A
0DataRank · unranked
0 citations

Md Ashequr Rahman, Craig K. Abbey, Barry A. Siegel, Abhinav K. Jha, Zitong Yu

Deep learning generation of preclinical positron emission tomography (PET) images from low‐count PET with task‐based performance assessment

Medical Physics(2024)10.1002/mp.17105
N/A
0DataRank · unranked
8 citations

Richard Laforest, Jingqin Luo, Abhinav K. Jha, Kooresh I. Shoghi, Kaushik Dutta

CTLESS: A Scatter-Window Projection and Deep Learning-Based Transmission-Less Attenuation Compensation Method for Myocardial Perfusion SPECT

IEEE Transactions on Medical Imaging(2024)10.1109/tmi.2024.3496870
N/A
0DataRank · unranked
3 citations

Md Ashequr Rahman, Craig K. Abbey, Richard Laforest, Nancy A. Obuchowski, Barry A. Siegel +2 more

A List-Mode OSEM-Based Attenuation and Scatter Compensation Method for SPECT

PubMed(2020)10.1109/isbi45749.2020.9098333
N/A
0DataRank · unranked
1 citations

Richard Laforest, Abhinav K. Jha, Ashequr Rahman

Development and in silico imaging trial evaluation of a deep‐learning‐based transmission‐less attenuation compensation method for DaT SPECT

Medical Physics(2025)10.1002/mp.17976
N/A
0DataRank · unranked
2 citations

Md Ashequr Rahman, Zekun Li, Chunwei Ying, Hongyu An, Tammie L.S. Benzinger +5 more