Daniel L. Rubin

Also affiliated with Stanford Medicine, Stanford University

MedicineComputer ScienceBiochemistry, Genetics and Molecular Biology

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

6.0Author DataRank

Indexed papers

2in 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 2 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 →

The highest-impact dataset this researcher has shared, ranked by DataRank — the single contribution doing the most to lift their data-sharing standing.

CT-ORG, a new dataset for multiple organ segmentation in computed tomography

Scientific Data(2020)10.1038/s41597-020-00715-8

Top 4%

5.1DataRank

Top 4%143 citations

Darvin Yi, Kaushik Shivakumar, Tomomi W. Nobashi, Daniel L. Rubin, Blaine Rister

Papers

Driven by 42 papers — median percentile 86. Top paper: “CT-ORG, a new dataset for multiple organ segmentation in computed tomography”.

CT-ORG, a new dataset for multiple organ segmentation in computed tomography

Scientific Data(2020)10.1038/s41597-020-00715-8

Top 4%

5.1DataRank

Top 4%143 citations

Darvin Yi, Kaushik Shivakumar, Tomomi W. Nobashi, Daniel L. Rubin, Blaine Rister

Prediction of age-related macular degeneration disease using a sequential deep learning approach on longitudinal SD-OCT imaging biomarkers

Scientific Reports(2020)10.1038/s41598-020-72359-y

N/A

2.9DataRank · unranked

74 citations

Luís de Sisternes, Joelle Hallak, Theodore Leng, Aaron Osborne, Philip J. Rosenfeld +4 more

Machine Learning–Enabled Multimodal Fusion of Intra-Atrial and Body Surface Signals in Prediction of Atrial Fibrillation Ablation Outcomes

Circulation Arrhythmia and Electrophysiology(2022)10.1161/circep.122.010850

N/A

2.0DataRank · unranked

78 citations

Orod Razeghi, Ridhima Kapoor, Mahmood Alhusseini, Muhammad Fazal, Albert J. Rogers +7 more

Comparison of segmentation-free and segmentation-dependent computer-aided diagnosis of breast masses on a public mammography dataset

Journal of Biomedical Informatics(2020)10.1016/j.jbi.2020.103656

Top 23%

0.884DataRank

Top 23%19 citations

Jared Dunnmon, Ann He, Siyi Tang, Christopher Ré, Daniel L. Rubin +1 more

Privacy preservation for federated learning in health care

Patterns(2024)10.1016/j.patter.2024.100974

N/A

0.767DataRank · unranked

165 citations

Sourav Kumar, A. Varma, Brandon Edwards, Charles Lu, Liangqiong Qu +10 more

Identification of 31 loci for mammographic density phenotypes and their associations with breast cancer risk

Nature Communications(2020)10.1038/s41467-020-18883-x

N/A

0.631DataRank · unranked

66 citations

Joseph H. Rothstein, Robert J. Klein, Stacey Alexeeff, Lori C. Sakoda, Eric Jorgenson +15 more

Opportunistic assessment of ischemic heart disease risk using abdominopelvic computed tomography and medical record data: a multimodal explainable artificial intelligence approach

Scientific Reports(2023)10.1038/s41598-023-47895-y

N/A

0.583DataRank · unranked

36 citations

Andrew L. Wentland, Arjun Desai, Imon Banerjee, Gurkiran Kaur, Ramón Correa +8 more

Challenges and opportunities for artificial intelligence in oncological imaging

Clinical Radiology(2021)10.1016/j.crad.2021.03.009

N/A

0.568DataRank · unranked

43 citations

Daniel L. Rubin, Helen Cheung

Data Sharing of Imaging in an Evolving Health Care World: Report of the ACR Data Sharing Workgroup, Part 1: Data Ethics of Privacy, Consent, and Anonymization

Journal of the American College of Radiology(2021)10.1016/j.jacr.2021.07.014

N/A

0.510DataRank · unranked

29 citations

Keith J. Dreyer, Bibb Allen, Tessa S. Cook, Christopher J. Roth, Andrea Borondy Kitts +12 more

Impact of Upstream Medical Image Processing on Downstream Performance of a Head CT Triage Neural Network

Radiology Artificial Intelligence(2021)10.1148/ryai.2021200229

N/A

0.425DataRank · unranked

16 citations

Jared Dunnmon, Matthew P. Lungren, Domenico Mastrodicasa, Daniel L. Rubin, Christopher Ré +3 more

Spatial Characterization of Tumor Perfusion Properties from 3D DCE-US Perfusion Maps are Early Predictors of Cancer Treatment Response

Scientific Reports(2020)10.1038/s41598-020-63810-1

N/A

0.416DataRank · unranked

15 citations

Assaf Hoogi, Jianhua Zhou, Isabelle Durot, Huaijun Wang, Jarrett Rosenberg +8 more

Automated Extraction of Patient-Centered Outcomes After Breast Cancer Treatment: An Open-Source Large Language Model–Based Toolkit

JCO Clinical Cancer Informatics(2024)10.1200/cci.23.00258

N/A

0.345DataRank · unranked

9 citations

Shubham Trivedi, Allison W. Kurian, Kevin C. Ward, Theresa H.M. Keegan, Daniel L. Rubin +2 more

Data Sharing of Imaging in an Evolving Health Care World: Report of the ACR Data Sharing Workgroup, Part 2: Annotation, Curation, and Contracting

Journal of the American College of Radiology(2021)10.1016/j.jacr.2021.07.015

N/A

0.312DataRank · unranked

7 citations

Keith J. Dreyer, Bibb Allen, Tessa S. Cook, Christopher J. Roth, Andrea Borondy Kitts +12 more

Toward Practical Integration of Omic and Imaging Data in Co-Clinical Trials

Tomography(2023)10.3390/tomography9020066

N/A

0.269DataRank · unranked

5 citations

Heidi Dowst, Julie C. DiCarlo, Lacey E. Dobrolecki, Anadulce Hernández-Herrera, David A. Hormuth +13 more

Towards trustworthy seizure onset detection using workflow notes

arXiv (Cornell University)(2023)10.48550/arxiv.2306.08728

N/A

0.104DataRank · unranked

1 citations

Siyi Tang, Mohamed Taha, Christopher Lee‐Messer, Christopher Ré, Daniel L. Rubin +1 more

Creation of Radiology Teaching Content with STELLA—A STandardized Electronic Learning Library and Application Platform

Academic Radiology(2025)10.1016/j.acra.2025.11.040

N/A

0.104DataRank · unranked

1 citations

Bao Do, Margaret Lin, Eddy Zandee van Rilland, Amanda Rigas, Emel Alkım +5 more

AI Transformers for Radiation Dose Reduction in Serial Whole-Body PET Scans

Radiology Artificial Intelligence(2023)10.1148/ryai.220246

N/A

0DataRank · unranked

17 citations

Liangqiong Qu, Natasha Sheybani, Xiaolong Luo, Jiangshan Wang, K. Elizabeth Hawk +7 more

Contrastive learning-based pretraining improves representation and transferability of diabetic retinopathy classification models

Scientific Reports(2023)10.1038/s41598-023-33365-y

N/A

0DataRank · unranked

16 citations

Rikiya Yamashita, Vignav Ramesh, Tejas Prabhune, Jennifer I. Lim, R.V. Paul Chan +4 more

Examination of fully automated mammographic density measures using LIBRA and breast cancer risk in a cohort of 21,000 non-Hispanic white women

Breast Cancer Research(2023)10.1186/s13058-023-01685-6

N/A

0DataRank · unranked

10 citations

Stacey Alexeeff, Ninah Achacoso, Vignesh A. Arasu, Aimilia Gastounioti, Lawrence Gerstley +18 more

Fusion of imaging and non-imaging data for disease trajectory prediction for coronavirus disease 2019 patients

Journal of Medical Imaging(2023)10.1117/1.jmi.10.3.034004

N/A

0DataRank · unranked

6 citations

Siyi Tang, Hifza Sakhi, Leo Anthony Celi, Janice Newsome, Daniel L. Rubin +4 more

Co-Clinical Imaging Metadata Information (CIMI) for Cancer Research to Promote Open Science, Standardization, and Reproducibility in Preclinical Imaging

Tomography(2023)10.3390/tomography9030081

N/A

0DataRank · unranked

5 citations

James D. Quirk, Andrew W. Lassiter, Richard Laforest, Gregory D. Ayers, Cristian T. Badea +22 more

Exploring Image Augmentations for Siamese Representation Learning with Chest X-Rays

arXiv (Cornell University)(2023)10.48550/arxiv.2301.12636

N/A

0DataRank · unranked

5 citations

Nandita Bhaskhar, Daniel L. Rubin, Curtis P. Langlotz, Akshay Chaudhari, Rogier van der Sluijs

Graph-Based Fusion of Imaging and Non-Imaging Data for Disease Trajectory Prediction

(2023)10.1109/ner52421.2023.10123892

N/A

0DataRank · unranked

2 citations

Siyi Tang, Hifza Sakhi, Leo Anthony Celi, Janice Newsome, Daniel L. Rubin +5 more

Weak supervision as an efficient approach for automated seizure detection in electroencephalography

npj Digital Medicine(2020)10.1038/s41746-020-0264-0

N/A

0DataRank · unranked

102 citations

Jared Dunnmon, Christopher Ré, Daniel L. Rubin, Christopher Lee‐Messer, Khaled Saab

Towards trustworthy seizure onset detection using workflow notes

npj Digital Medicine(2024)10.1038/s41746-024-01008-9

N/A

0DataRank · unranked

9 citations

Siyi Tang, Mohamed Taha, Christopher Lee‐Messer, Christopher Ré, Daniel L. Rubin +1 more

Mirrored X-Net: Joint classification and contrastive learning for weakly supervised GA segmentation in SD-OCT

Pattern Recognition(2024)10.1016/j.patcog.2024.110507

N/A

0DataRank · unranked

7 citations

Xiao Ma, Theodore Leng, Daniel L. Rubin, Qiang Chen, Zexuan Ji

Novel use of alternate (Alt) response (Rp) criteria (Cr) for early prediction of outcomes in pancreatic (P) neuroendocrine tumors (NETs): Utilizing banked imaging data from the ECOG-ACRIN E2211 study.

Journal of Clinical Oncology(2023)10.1200/jco.2023.41.16_suppl.4133

N/A

0DataRank · unranked

0 citations

Elizabeth A. Handorf, Pamela L. Kunz, Emel Alkım, Lauren M. Burke, Paul J. Catalano +10 more

Accounting for data variability in multi-institutional distributed deep learning for medical imaging

Journal of the American Medical Informatics Association(2020)10.1093/jamia/ocaa017

N/A

0DataRank · unranked

63 citations

Ken Chang, Jayashree Kalpathy–Cramer, Daniel L. Rubin, Niranjan Balachandar

Alcohol and Tobacco Use in Relation to Mammographic Density in 23,456 Women

Cancer Epidemiology Biomarkers & Prevention(2020)10.1158/1055-9965.epi-19-0348

N/A

0DataRank · unranked

15 citations

Kezhen Fei, Joseph H. Rothstein, Stacey Alexeeff, Xiaoyu Song, Lori C. Sakoda +11 more

Cross-Modal Data Programming Enables Rapid Medical Machine Learning

Patterns(2020)10.1016/j.patter.2020.100019

N/A

0DataRank · unranked

10 citations

Alexander Ratner, Khaled Saab, Nishith Khandwala, Matthew Markert, Hersh Sagreiya +6 more

Quantitative imaging feature pipeline: a web-based tool for utilizing, sharing, and building image-processing pipelines

Journal of Medical Imaging(2020)10.1117/1.jmi.7.4.042803

N/A

0DataRank · unranked

26 citations

Dev Gude, Sebastian Echegaray, Shaimaa Bakr, Daniel L. Rubin, Sandy Napel +1 more

Clinical Trial Design and Development Work Group Within the Quantitative Imaging Network

Tomography(2020)10.18383/j.tom.2019.00022

N/A

0DataRank · unranked

3 citations

John M. Buatti, Hui‐Kuo G. Shu, Richard L. Wahl, Brenda F. Kurland, Hannah M. Linden +8 more

Advancing COVID-19 diagnosis with privacy-preserving collaboration in artificial intelligence

Nature Machine Intelligence(2021)10.1038/s42256-021-00421-z

N/A

0DataRank · unranked

76 citations

Hanchen Wang, Liya Ma, Yongchao Xu, Jiefeng Gan, Ziwei Fan +41 more

Data valuation for medical imaging using Shapley value and application to a large-scale chest X-ray dataset

Scientific Reports(2021)10.1038/s41598-021-87762-2

N/A

0DataRank · unranked

75 citations

Amirata Ghorbani, Rikiya Yamashita, Sameer Rehman, Jared A. Dunnmon, James Zou +2 more

Integrating Al Algorithms into the Clinical Workflow

Radiology Artificial Intelligence(2021)10.1148/ryai.2021210013

N/A

0DataRank · unranked

75 citations

Hao-Hsin Shih, Krishna Nand Keshava Murthy, Pierre Elnajjar, Amin El-Rowmeim, Christopher J. Roth +5 more

Federated Learning for Multicenter Collaboration in Ophthalmology

Ophthalmology Retina(2022)10.1016/j.oret.2022.03.005

N/A

0DataRank · unranked

36 citations

Charles Lu, Ken Chang, Praveer Singh, Aaron S. Coyner, James M. Brown +54 more

Toward Reduction in False-Positive Thyroid Nodule Biopsies with a Deep Learning–based Risk Stratification System Using US Cine-Clip Images

Radiology Artificial Intelligence(2022)10.1148/ryai.210174

N/A

0DataRank · unranked

21 citations

Tara Kapoor, Minhaj Nur Alam, Alfiia Galimzianova, Saad Syed, Mete U. Akdogan +10 more

Federated Learning for Multicenter Collaboration in Ophthalmology

Ophthalmology Retina(2022)10.1016/j.oret.2022.02.015

N/A

0DataRank · unranked

41 citations

Adam Hanif, Praveer Singh, Ken Chang, Aaron S. Coyner, James M. Brown +54 more

223. Development and Analysis of a Novel DOOR Endpoint for Complicated Intra-abdominal Infections (cIAI) Using 10 Registrational Trials for Antibacterial Drugs

Open Forum Infectious Diseases(2022)10.1093/ofid/ofac492.301

N/A

0DataRank · unranked

0 citations

Ramya Gopinath, Ursula Waack, Mark Needles, Daniel L. Rubin, Deborah Collyar +11 more

Label-Efficient Self-Supervised Federated Learning for Tackling Data Heterogeneity in Medical Imaging

IEEE Transactions on Medical Imaging(2023)10.1109/tmi.2022.3233574

N/A

0DataRank · unranked

167 citations

Liangqiong Qu, Qingyue Wei, Shih-Cheng Huang, Liyue Shen, Daniel L. Rubin +3 more

Atrial fibrillation ablation outcome prediction with a machine learning fusion framework incorporating cardiac computed tomography

Journal of Cardiovascular Electrophysiology(2023)10.1111/jce.15890

N/A

0DataRank · unranked

31 citations

Ridhima Kapoor, Mahmood Alhusseini, Muhammad Fazal, Siyi Tang, Caroline H. Roney +9 more

Low-count whole-body PET/MRI restoration: an evaluation of dose reduction spectrum and five state-of-the-art artificial intelligence models

European Journal of Nuclear Medicine and Molecular Imaging(2023)10.1007/s00259-022-06097-w

N/A

0DataRank · unranked

26 citations

Pengcheng Wang, Lisa C. Adams, Natasha Sheybani, Liangqiong Qu, Amir Hossein Sarrami +9 more

Daniel L. Rubin

Indexed papers

Top data-sharing exemplar

Papers