DanielLeeRubinMD

Radiology • Stanford, CA

Abdominal Imaging, Ultrasound

Assistant Professor, Radiology, Stanford University Medical Center

Join to view full profile

Dr. Rubin is on Doximity

As a Doximity member you'll join over two million verified healthcare professionals in a private, secure network.

Gain access to free telehealth tools, such as our “call shielding” and one-way patient texting.
Connect with colleagues in the same hospital or clinic.
Read the latest clinical news, personalized to your specialty.

See Dr. Rubin's full profile

Already have an account?

Office
Msob X215
251 Campus Drive
Stanford, CA 94305
Phone+1 650-725-5693

Education & Training

Stanford Health Care-Sponsored Stanford UniversityResidency, Radiology-Diagnostic, 1986 - 1990
Stanford Health Care-Sponsored Stanford UniversityInternship, Internal Medicine, 1985 - 1986
Stanford University School of MedicineClass of 1985

Certifications & Licensure

CA State Medical License 1986 - 2026
American Board of Radiology Diagnostic Radiology

Publications & Presentations

PubMed

277 citations
Non–Small Cell Lung Cancer: Identifying Prognostic Imaging Biomarkers by Leveraging Public Gene Expression Microarray Data—Methods and Preliminary Results
Olivier Gevaert, Jiajing Xu, Chuong D. Hoang, Ann N. Leung, Yue Xu
Radiology. 2012-08-01
131 citations
Automated Grading of Gliomas using Deep Learning in Digital Pathology Images: A modular approach with ensemble of convolutional neural networks
Mehmet Günhan Ertosun, Daniel L. Rubin
AMIA ... Annual Symposium Proceedings. AMIA Symposium. 2015-11-05
20 citations
Machine Learning-Enabled Multimodal Fusion of Intra-Atrial and Body Surface Signals in Prediction of Atrial Fibrillation Ablation Outcomes.
Siyi Tang, Orod Razeghi, Ridhima Kapoor, Mahmood I Alhusseini, Muhammad Fazal
Circulation. Arrhythmia and Electrophysiology. 2022-08-01

Journal Articles

The LOINC RSNA Radiology Playbook - a Unified Terminology for Radiology Procedures
Swapna Abhyankar, Daniel J Vreeman, Curtis P Langlotz, Daniel L Rubin, Journal of the American Medical Informatics Association
Predictive Radiogenomics Modeling of EGFR Mutation Status in Lung Cancer
Daniel L Rubin, Gerald J Berry, Joseph B Shrager, Ann N Leung, H Henry Guo, Sandy Napel, Chuong D Hoang, Nature

Authored Content

Building Better Diagnostic Standards for Medical AISeptember 2021

Press Mentions

Building Better Diagnostic Standards for Medical AISeptember 30th, 2021
MONAI Imaging Framework Fast-Tracked to Production to Accelerate AI in HealthcareNovember 30th, 2020
Digital Biopsies: Radiomics and Pathomics Are Important Stops on the Path to Precision MedicineOctober 4th, 2019
Join now to see all

Grant Support

Computerized Quantitative Imaging Assessment Of Tumor BurdenNational Cancer Institute2010–2012