Daniel L. Rubin at Stanford University School of Medicine - Research Interests, Publications & Academic Profile

Daniel L. Rubin

Stanford University School of Medicine

United States

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Research Interests

Medical Imaging

90%

Health Communication

30%

Oncology

30%

Clinical Application

30%

Cancer Epidemiology

20%

Electronic Health Record

20%

Prognosis

20%

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Articles15

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

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Year:

2024

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

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Year:

2024

Towards trustworthy seizure onset detection using workflow notes

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Year:

2024

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

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Year:

2023

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

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Year:

2023

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

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Year:

2023

An Explainable and Actionable Mistrust Scoring Framework for Model Monitoring

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Year:

2023

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

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Year:

2023

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

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Year:

2023

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

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Year:

2022

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

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Year:

2022

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

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Year:

2022

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

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Year:

2022

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

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Year:

2022

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

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Year:

2022

Collaborators11

Imon Banerjee

Associate Professor

Mayo Clinic

UNITED STATES

Renuka Sriram

University of California

UNITED STATES

Cristian Badea

Professor

Duke University

UNITED STATES

Thomas E. Yankeelov

University of Texas at Austin

UNITED STATES

Jack Virostko

Assistant Professor

University of Texas at Austin

UNITED STATES

Yuxing Liao

Baylor College of Medicine

UNITED STATES

Bing Zhang

Baylor College of Medicine

UNITED STATES

Orod Razeghi

University of Cambridge

UNITED KINGDOM

Michael F. Gensheimer

Stanford University School of Medicine

UNITED STATES

Michael Lewis

Baylor College of Medicine

UNITED STATES

Yuyin Zhou

Assistant professor

University of California, Santa Cruz

UNITED STATES

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