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

Shahriar Faghani

Mayo Clinic

ORCID: 0000-0003-3275-2971
MedicineNeuroscience

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
1.3Author 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.

A multi-institutional meningioma MRI dataset for automated multi-sequence image segmentation

Scientific Data(2024)10.1038/s41597-024-03350-9
Top 29%
0.692DataRank
Top 29%19 citations

Omaditya Khanna, Shan McBurney-Lin, Ryan McLean, Pierre Nedelec, Arif Rashid +69 more

Papers

Driven by 8 papers — median percentile 46. Top paper: “A multi-institutional meningioma MRI dataset for automated multi-sequence image segmentation”.

A multi-institutional meningioma MRI dataset for automated multi-sequence image segmentation

Scientific Data(2024)10.1038/s41597-024-03350-9
Top 29%
0.692DataRank
Top 29%19 citations

Omaditya Khanna, Shan McBurney-Lin, Ryan McLean, Pierre Nedelec, Arif Rashid +69 more

Patient-specific Hip Arthroplasty Dislocation Risk Calculator: An Explainable Multimodal Machine Learning–based Approach

Radiology Artificial Intelligence(2022)10.1148/ryai.220067
N/A
0.524DataRank · unranked
32 citations

Pouria Rouzrokh, Hilal Maradit Kremers, Dirk R. Larson, Quinn J. Johnson, Shahriar Faghani +6 more

Analysis of the 2024 BraTS Meningioma Radiotherapy Planning Automated Segmentation Challenge

arXiv (Cornell University)(2024)10.48550/arxiv.2405.18383
Top 54%
0.310DataRank
Top 54%5 citations

Abramova, Valeriia, Astaraki, Mehdi, Ferreira, Andre, Jiang, Zhifan, Cleveland, Mason C. +95 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

Pilot Study of Using Machine Learning to Detect Atherosclerotic Renal Artery Stenosis From Spectral Doppler Waveforms

Kidney International Reports(2025)10.1016/j.ekir.2025.01.012
N/A
0DataRank · unranked
3 citations

Seyed Moein Rassoulinejad-Mousavi, Shahriar Faghani, Bradley J. Erickson, Sanjay Misra, Haseeb Mukhtar

Creating High Fidelity Synthetic Pelvis Radiographs Using Generative Adversarial Networks: Unlocking the Potential of Deep Learning Models Without Patient Privacy Concerns

The Journal of Arthroplasty(2022)10.1016/j.arth.2022.12.013
N/A
0DataRank · unranked
34 citations

Pouria Rouzrokh, John P. Mickley, Shahriar Faghani, A. Noelle Larson, Hillary W. Garner +5 more

Deep Learning–Based Prediction of Hepatic Decompensation in Patients With Primary Sclerosing Cholangitis With Computed Tomography

Mayo Clinic Proceedings Digital Health(2024)10.1016/j.mcpdig.2024.07.002
N/A
0DataRank · unranked
2 citations

Shahriar Faghani, John E. Eaton, Sudhakar K. Venkatesh, Bradley J. Erickson, Yashbir Singh

The Transition of Mild Cognitive Impairment Over Time: An AV45- and FDG-PET Study of Reversion and Conversion Phenomena

Current Alzheimer Research(2021)10.2174/1567205018666211124110710
N/A
0DataRank · unranked
7 citations

Kamyar Moradi, Shahriar Faghani, AmirHussein Abdolalizadeh, Mohammadreza Khomeijani-Farahani, Farzad Fatehi +2 more