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

Corey Arnold

University of California, Los Angeles

ORCID: 0000-0002-4119-8143

Also affiliated with UCLA Health

Computer ScienceMedicineNeuroscience

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
0.539Author 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.

Harnessing clinical annotations to improve deep learning performance in prostate segmentation

PLoS ONE(2021)10.1371/journal.pone.0253829
Top 36%
0.539DataRank
Top 36%10 citations

Alex G. Raman, Nikhil J. Dhinagar, Alan Priester, Stephanie A. Harmon, Thomas Sanford +7 more

Papers

Driven by 23 papers — median percentile 64. Top paper: “Harnessing clinical annotations to improve deep learning performance in prostate segmentation”.

Harnessing clinical annotations to improve deep learning performance in prostate segmentation

PLoS ONE(2021)10.1371/journal.pone.0253829
Top 36%
0.539DataRank
Top 36%10 citations

Alex G. Raman, Nikhil J. Dhinagar, Alan Priester, Stephanie A. Harmon, Thomas Sanford +7 more

Integrating remote monitoring into heart failure patients’ care regimen: A pilot study

PLoS ONE(2020)10.1371/journal.pone.0242210
N/A
0DataRank · unranked
34 citations

William Speier, Esther H. Lan, Kymberly Aoki, Gregg C. Fonarow, Michael Ong +2 more

Semi-automated PIRADS scoring via mpMRI analysis

Journal of Medical Imaging(2020)10.1117/1.jmi.7.6.064501
N/A
0DataRank · unranked
6 citations

William Speier, Karthik V. Sarma, Alex Raman, Adam Kinnaird, Steven S. Raman +3 more

Image-based patch selection for deep learning to improve automated Gleason grading in histopathological slides

bioRxiv (Cold Spring Harbor Laboratory)(2020)10.1101/2020.09.26.314989
N/A
0DataRank · unranked
6 citations

Jiayun Li, Wenyuan Li, Karthik V. Sarma, Corey Arnold, William Speier

A multi-resolution model for histopathology image classification and localization with multiple instance learning

Computers in Biology and Medicine(2021)10.1016/j.compbiomed.2021.104253
N/A
0DataRank · unranked
117 citations

Wenyuan Li, Anthony Sisk, Huihui Ye, William D. Wallace, William Speier +2 more

High resolution histopathology image generation and segmentation through adversarial training

Medical Image Analysis(2021)10.1016/j.media.2021.102251
N/A
0DataRank · unranked
53 citations

Jiayun Li, Jennifer Polson, Zichen Wang, William Speier, Corey Arnold +1 more

Intra-domain task-adaptive transfer learning to determine acute ischemic stroke onset time

Computerized Medical Imaging and Graphics(2021)10.1016/j.compmedimag.2021.101926
N/A
0DataRank · unranked
41 citations

Jennifer Polson, Kambiz Nael, Noriko Salamon, Bryan Yoo, Suzie El‐Saden +4 more

Synthesizing MR Image Contrast Enhancement Using 3D High-Resolution ConvNets

IEEE Transactions on Biomedical Engineering(2022)10.1109/tbme.2022.3192309
N/A
0DataRank · unranked
70 citations

Catalina Raymond, William Speier, Xinyu Jin, Timothy F. Cloughesy, Dieter R. Enzmann +3 more

Identifying acute ischemic stroke patients within the thrombolytic treatment window using deep learning

Journal of Neuroimaging(2022)10.1111/jon.13043
N/A
0DataRank · unranked
24 citations

Haoyue Zhang, Kambiz Nael, Noriko Salamon, Bryan Yoo, Suzie El‐Saden +6 more

Automated estimation of ischemic core volume on noncontrast-enhanced CT via machine learning

Interventional Neuroradiology(2022)10.1177/15910199221145487
N/A
0DataRank · unranked
11 citations

Brian Tsui, Haoyue Zhang, Joe X Qiao, William Hsu, May Nour +11 more

Deep Learning Approaches to Identify Patients within the Thrombolytic Treatment Window

medRxiv(2022)10.1101/2022.01.26.22269260
N/A
0DataRank · unranked
3 citations

Haoyue Zhang, Kambiz Nael, Noriko Salamon, Bryan Yoo, Suzie El‐Saden +6 more

Federated Learning with Research Prototypes: Application to Multi-Center MRI-based Detection of Prostate Cancer with Diverse Histopathology

Academic Radiology(2023)10.1016/j.acra.2023.02.012
N/A
0DataRank · unranked
24 citations

Ekaterina Redekop, Anil Kemisetti, Rushikesh Kulkarni, Steven S. Raman, Karthik V. Sarma +4 more

SLIViT: a general AI framework for clinical-feature diagnosis from limited 3D biomedical-imaging data

Research Square(2023)10.21203/rs.3.rs-3044914/v1
N/A
0DataRank · unranked
2 citations

Berkin Durmus, Nadav Rakocz, Giulia Corradetti, Ulzee An, Muneeswar G. Nitalla +25 more

A Multitask Approach for Automated Detection and Segmentation of Thyroid Nodules in Ultrasound Images

medRxiv(2023)10.1101/2023.01.31.23285223
N/A
0DataRank · unranked
1 citations

Adam Kinzel, Joseph S. Chen, Vivek Sant, Maitraya Patel, Rinat Masamed +3 more

SLIViT: a general AI framework for clinical-feature diagnosis from limited 3D biomedical-imaging data

Research Square(2023)10.21203/rs.3.rs-3044914/v2
N/A
0DataRank · unranked
0 citations

Berkin Durmus, Nadav Rakocz, Giulia Corradetti, Ulzee An, Muneeswar G. Nitalla +25 more

Accurate prediction of disease-risk factors from volumetric medical scans by a deep vision model pre-trained with 2D scans

Nature Biomedical Engineering(2024)10.1038/s41551-024-01257-9
N/A
0DataRank · unranked
14 citations

Berkin Durmus, Nadav Rakocz, Giulia Corradetti, Ulzee An, Muneeswar Gupta Nittala +28 more

From Bench-to-Bedside: How Artificial Intelligence is Changing Thyroid Nodule Diagnostics, a Systematic Review

The Journal of Clinical Endocrinology & Metabolism(2024)10.1210/clinem/dgae277
N/A
0DataRank · unranked
15 citations

Ashwath Radhachandran, Vedrana Ivezić, Denise Lee, Masha J. Livhits, James X. Wu +5 more

A multitask approach for automated detection and segmentation of thyroid nodules in ultrasound images

Computers in Biology and Medicine(2024)10.1016/j.compbiomed.2024.107974
N/A
0DataRank · unranked
10 citations

Adam Kinzel, Joseph S. Chen, Vivek Sant, Maitraya Patel, Rinat Masamed +3 more

Enhancing Ultrasound Image Quality Across Disease Domains: Application of Cycle-Consistent Generative Adversarial Network and Perceptual Loss

JMIR Biomedical Engineering(2024)10.2196/58911
N/A
0DataRank · unranked
8 citations

Ashwath Radhachandran, Vedrana Ivezić, Vivek Sant, Corey Arnold, William Speier +1 more

Digital Volumetric Biopsy Cores Improve Gleason Grading of Prostate Cancer Using Deep Learning

PubMed(2024)10.48550/arxiv.2409.08331
N/A
0DataRank · unranked
0 citations

Mara Pleasure, Zichen Wang, Anthony Sisk, Yang Zong, Kimberly Johana Cárdenas Flores +3 more

Generating 2.5D pathology for enhanced viewing and AI diagnosis

Journal of Pathology Informatics(2025)10.1016/j.jpi.2025.100463
N/A
0DataRank · unranked
0 citations

Mara Pleasure, Zichen Wang, Anthony Sisk, Yang Zong, Kimberly Johana Cárdenas Flores +3 more

Federated learning improves site performance in multicenter deep learning without data sharing

Journal of the American Medical Informatics Association(2020)10.1093/jamia/ocaa341
N/A
0DataRank · unranked
232 citations

Stephanie A. Harmon, Thomas Sanford, Holger R. Roth, Ziyue Xu, Jesse Tetreault +14 more

Evaluating Tumor Quantification in Place of Proportions in Prostate Cancer: Principles of the ProQuant Group

European Urology(2025)10.1016/j.eururo.2025.11.013
N/A
0DataRank · unranked
0 citations

Samson W. Fine, Jorg R. Oddens, Auke Jager, Arnoud W. Postema, Harrie P. Beerlage +86 more