Daniel L. Rubin

Stanford University School of Medicine

United States

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Articles (16)

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2025

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2024

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2022

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2022

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2022

Collaborators (13)

Imon Banerjee

Associate Professor

Mayo Clinic

UNITED STATES

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Robia Pautler

Professor

Baylor College of Medicine

UNITED STATES

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Renuka Sriram

University of California

UNITED STATES

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Cristian Badea

Professor

Duke University

UNITED STATES

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Thomas E. Yankeelov

University of Texas at Austin

UNITED STATES

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Jack Virostko

Assistant Professor

University of Texas at Austin

UNITED STATES

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Yuxing Liao

Baylor College of Medicine

UNITED STATES

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Bing Zhang

Baylor College of Medicine

UNITED STATES

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Orod Razeghi

University of Cambridge

UNITED KINGDOM

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Liyue Shen

Assistant Professor

University of Michigan–Ann Arbor

UNITED STATES

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Michael F. Gensheimer

Stanford University School of Medicine

UNITED STATES

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Michael Lewis

Baylor College of Medicine

UNITED STATES

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Yuyin Zhou

Assistant professor

University of California, Santa Cruz

UNITED STATES

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Daniel L. Rubin

Research Interests

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Articles (16)

Open-Source Hybrid Large Language Model Integrated System for Extraction of Breast Cancer Treatment Pathway From Free-Text Clinical Notes

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

Abdominal CT metrics in 17,646 patients reveal associations between myopenia, myosteatosis, and medical phenotypes: a phenome-wide association study

Towards trustworthy seizure onset detection using workflow notes

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

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

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

An Explainable and Actionable Mistrust Scoring Framework for Model Monitoring

Predicting 30-day all-cause hospital readmission using multimodal spatiotemporal graph neural networks

Clinical outcome prediction using observational supervision with electronic health records and audit logs

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

Accuracy of Electronic Medical Record Follow-Up Data for Estimating the Survival Time of Patients With Cancer

Accuracy of Electronic Medical Record Follow-Up Data for Estimating the Survival Time of Patients With Cancer

SplitAVG: A Heterogeneity-Aware Federated Deep Learning Method for Medical Imaging

Handling data heterogeneity with generative replay in collaborative learning for medical imaging

Automated Identification and Measurement Extraction of Pancreatic Cystic Lesions from Free-Text Radiology Reports Using Natural Language Processing

Collaborators (13)

Imon Banerjee

Robia Pautler

Renuka Sriram

Cristian Badea

Thomas E. Yankeelov

Jack Virostko

Yuxing Liao

Bing Zhang

Orod Razeghi

Liyue Shen

Michael F. Gensheimer

Michael Lewis

Yuyin Zhou

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