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

Jeffrey D. Rudie

University of California San Diego

ORCID: 0000-0001-8609-8421

Also affiliated with Jahrom University of Medical Sciences

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 1%percentile
15.1Author DataRank

Indexed papers

6in 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 6 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.

Checklist for Artificial Intelligence in Medical Imaging (CLAIM): 2024 Update

Radiology Artificial Intelligence(2024)10.1148/ryai.240300
Top 4%
5.0DataRank
Top 4%375 citations

Michail E. Klontzas, Anthony A. Gatti, John Mongan, Linda Moy, Seong Ho Park +75 more

Papers

Driven by 18 papers — median percentile 95. Top paper: “Checklist for Artificial Intelligence in Medical Imaging (CLAIM): 2024 Update”.

Checklist for Artificial Intelligence in Medical Imaging (CLAIM): 2024 Update

Radiology Artificial Intelligence(2024)10.1148/ryai.240300
Top 4%
5.0DataRank
Top 4%375 citations

Michail E. Klontzas, Anthony A. Gatti, John Mongan, Linda Moy, Seong Ho Park +75 more

The University of California San Francisco Preoperative Diffuse Glioma MRI Dataset

Radiology Artificial Intelligence(2022)10.1148/ryai.220058
Top 5%
4.2DataRank
Top 5%145 citations

Javier Villanueva-Meyer, Jeffrey D. Rudie, Andreas M. Rauschecker, Ujjwal Baid, Spyridon Bakas +4 more

The University of Pennsylvania glioblastoma (UPenn-GBM) cohort: advanced MRI, clinical, genomics, & radiomics

Scientific Data(2022)10.1038/s41597-022-01560-7
Top 5%
4.1DataRank
Top 5%172 citations

Chiharu Sako, Hamed Akbari, Michel Bilello, Aristeidis Sotiras, Gaurav Shukla +27 more

Cancer Imaging Phenomics via CaPTk: Multi-Institutional Prediction of Progression-Free Survival and Pattern of Recurrence in Glioblastoma

JCO Clinical Cancer Informatics(2020)10.1200/cci.19.00121
Top 19%
1.1DataRank
Top 19%41 citations

Hamed Akbari, Garima Shukla, Chaitra Badve, Jeffrey D. Rudie, Chiharu Sako +17 more

Federated learning enables big data for rare cancer boundary detection

Nature Communications(2022)10.1038/s41467-022-33407-5
N/A
0.881DataRank · unranked
355 citations

Ujjwal Baid, Brandon Edwards, Micah Sheller, Shih‐Han Wang, G. Anthony Reina +95 more

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

Histopathology‐validated machine learning radiographic biomarker for noninvasive discrimination between true progression and pseudo‐progression in glioblastoma

Cancer(2020)10.1002/cncr.32790
N/A
0.683DataRank · unranked
94 citations

Saima Rathore, Spyridon Bakas, MacLean P. Nasrallah, Gaurav Shukla, Elizabeth Mamourian +15 more

Association of partial T2-FLAIR mismatch sign and isocitrate dehydrogenase mutation in WHO grade 4 gliomas: results from the ReSPOND consortium

Neuroradiology(2023)10.1007/s00234-023-03196-9
N/A
0.489DataRank · unranked
25 citations

Sohil H. Patel, Suyash Mohan, Hamed Akbari, Spyridon Bakas, MacLean P. Nasrallah +79 more

The Brain Tumor Segmentation in Pediatrics (BraTS-PEDs) Challenge: Focus on Pediatrics (CBTN-CONNECT-DIPGR-ASNR-MICCAI BraTS-PEDs)

arXiv (Cornell University)(2024)10.48550/arxiv.2404.15009
N/A
0.450DataRank · unranked
8 citations

Nastaran Khalili, Xinyang Liu, Deep Gandhi, Zhifan Jiang, Syed Muhammed Anwar +66 more

Machine learning-based prognostic subgrouping of glioblastoma: A multicenter study

Neuro-Oncology(2024)10.1093/neuonc/noae260
N/A
0.385DataRank · unranked
12 citations

Spyridon Bakas, Chiharu Sako, Anahita Fathi Kazerooni, Javier Villanueva-Meyer, José García +83 more

Development of Gestational Age–Based Fetal Brain and Intracranial Volume Reference Norms Using Deep Learning

American Journal of Neuroradiology(2023)10.3174/ajnr.a7747
N/A
0.373DataRank · unranked
11 citations

Pierre Nedelec, David Weiß, Jeffrey D. Rudie, L. Kini, Leo P. Sugrue +4 more

Author Correction: Federated learning enables big data for rare cancer boundary detection

Nature Communications(2023)10.1038/s41467-023-36188-7
N/A
0.269DataRank · unranked
5 citations

Ujjwal Baid, Brandon Edwards, Micah Sheller, Shih-han Wang, G. Anthony Reina +95 more

The RSNA Cervical Spine Fracture CT Dataset

Radiology Artificial Intelligence(2023)10.1148/ryai.230034
N/A
0DataRank · unranked
26 citations

Errol Colak, Tyler Richards, Felipe Kitamura, Luciano M. Prevedello, Jason F. Talbott +85 more

Combining radiomics and deep convolutional neural network features from preoperative MRI for predicting clinically relevant genetic biomarkers in glioblastoma

Neuro-Oncology Advances(2022)10.1093/noajnl/vdac060
N/A
0DataRank · unranked
72 citations

Jeffrey D. Rudie, Andreas M. Rauschecker, Javier Villanueva-Meyer, Jennifer Clarke, David A. Solomon +2 more

Segmentation of pre- and posttreatment diffuse glioma tissue subregions including resection cavities

Neuro-Oncology Advances(2024)10.1093/noajnl/vdae140
N/A
0DataRank · unranked
6 citations

Igor Vidić, George M Mastorakos, Robert X. Smith, Nathan White, Suzie Bash +9 more

Interinstitutional Portability of a Deep Learning Brain MRI Lesion Segmentation Algorithm

Radiology Artificial Intelligence(2021)10.1148/ryai.2021200152
N/A
0DataRank · unranked
28 citations

Tyler Gleason, Pierre Nedelec, Michael Tran Duong, David Weiß, Evan Calabrese +5 more

Feasibility of Simulated Postcontrast MRI of Glioblastomas and Lower-Grade Gliomas by Using Three-dimensional Fully Convolutional Neural Networks

Radiology Artificial Intelligence(2021)10.1148/ryai.2021200276
N/A
0DataRank · unranked
42 citations

Jeffrey D. Rudie, Andreas M. Rauschecker, Javier Villanueva-Meyer, Soonmee Cha, Evan Calabrese

Artificial Intelligence System Approaching Neuroradiologist-level Differential Diagnosis Accuracy at Brain MRI

Radiology(2020)10.1148/radiol.2020190283
N/A
0DataRank · unranked
147 citations

Jeffrey D. Rudie, Long Xie, Jiancong Wang, Michael Tran Duong, Emmanuel J. Botzolakis +8 more