Yi Rong

Associate Professor

Mayo Clinic Arizona

United States

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About

Yi Rong is an Associate Professor at Mayo Clinic Arizona, United States. His research focuses on the integration of advanced technologies in radiation therapy, including the development of streamlined workflows and deep learning applications in medical physics. Recent articles explore topics such as international medical physicist contributions, precision medicine, and the evolving roles within clinical medical physics.

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2021

Collaborators (4)

Amy Yu

UNITED STATES

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Gregory Penoncello

Assistant Professor

University of Colorado Boulder

UNITED STATES

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Jinzhong Yang

The University of Texas MD Anderson Cancer Center

UNITED STATES

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Jingwei Duan

Assistant Professor

The University of Texas MD Anderson Cancer Center

UNITED STATES

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Yi Rong

Research Interests

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Articles (23)

The current ABR Alternate Pathway creates unnecessary barriers that discourage qualified international medical physicists from contributing to the U.S. healthcare system

Advancements in Radiation Therapy Treatment Workflows for Precision Medicine: A Review and Forward Looking

Development of a hybrid automated chart checking, data collection, and analysis system

Medical physicist should be a planner in the treatment planning process

Simulation‐free workflow for lattice radiation therapy using deep learning predicted synthetic computed tomography: A feasibility study

Improving the Precision of Deep-Learning-Based Head and Neck Target Auto-Segmentation by Leveraging Radiology Reports Using a Large Language Model

Future clinical medical physics division should have fewer medical physicists and more medical physics assistants

Multicenter Multivendor Evaluation of Dose Volume Histogram Creation Consistencies for 8 Commercial Radiation Therapy Dosimetric Systems

Custom-Trained Deep Learning-Based Auto-Segmentation for Male Pelvic Iterative CBCT on C-Arm Linear Accelerators

The history of the JACMP debate series

NRG Oncology Assessment of Artificial Intelligence Deep Learning–Based Auto-segmentation for Radiation Therapy: Current Developments, Clinical Considerations, and Future Directions

Resolving signal drift in the wall‐mounted camera of the RGSC system

Promotion and tenure for medical physicists should be based on article specific measures and not on journal impact factor

FLASH instead of proton arc therapy is a more promising advancement for the next generation proton radiotherapy

4DCT is long overdue for improvement

Comprehensive Commissioning and Clinical Implementation of GammaTiles STaRT for Intracranial Brain Cancer

Generalized methodology for radiomic feature selection and modeling in predicting clinical outcomes

Proton therapy needs further technological development to fulfill the promise of becoming a superior treatment modality (compared to photon therapy)

Benchmarking of Deformable Image Registration for Multiple Anatomic Sites Using Digital Data Sets With Ground-Truth Deformation Vector Fields

Future mainstream platform for online adaptive radiotherapy will be using on‐board MR rather than on‐board (CB) CT images

Rigid and Deformable Image Registration for Radiation Therapy: A Self-Study Evaluation Guide for NRG Oncology Clinical Trial Participation

Vendor‐provided clinical physics services are a disservice to patients and the medical physics profession

Computer automation for physics chart check should be adopted in clinic to replace manual chart checking for radiotherapy

Collaborators (4)

Amy Yu

Gregory Penoncello

Jinzhong Yang

Jingwei Duan

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