Overview
My research interest focuses on machine learning and AI application in radiation oncology treatment planning, including prostate cancer, head-and-neck cancer and pancreatic cancer etc.
Current Appointments & Affiliations
Assistant Professor of Radiation Oncology
·
2022 - Present
Radiation Oncology,
Clinical Science Departments
Recent Publications
A radiomics-incorporated deep ensemble learning model for multi-parametric MRI-based glioma segmentation.
Journal Article Phys Med Biol · September 13, 2023 Objective.To develop a deep ensemble learning (DEL) model with radiomics spatial encoding execution for improved glioma segmentation accuracy using multi-parametric magnetic resonance imaging (mp-MRI).Approach.This model was developed using 369 glioma pati ... Full text Link to item CiteEditorial: Machine learning-based adaptive radiotherapy treatments: From bench top to bedside.
Journal Article Front Oncol · 2023 Full text Link to item CiteDual-source strength seed loading for eye plaque brachytherapy using eye physics eye plaques: A feasibility study.
Journal Article J Contemp Brachytherapy · December 2022 PURPOSE: This study quantifies the dosimetric impact of incorporating two iodine-125 (125I) seed source strengths in Eye Physics eye plaques for treatment of uveal melanoma. MATERIAL AND METHODS: Plaque Simulator was used to retrospectively plan 15 clinica ... Full text Open Access Link to item CiteRecent Grants
Understanding Human-Robot Interaction of Artificial Intelligence (AI) Tool in Radiation Oncology: An application of Breast Cancer Treatment Planning Agent
ResearchPrincipal Investigator · Awarded by American Association of Physicists in Medicine · 2021 - 2023Clinical Experience Guided Reinforcement Learning for Pancreas SBRT
ResearchCollaborating Investigator · Awarded by Varian Medical Systems, Inc. · 2019 - 2022View All Grants
Education, Training & Certifications
Duke University ·
2017
Ph.D.
Duke University ·
2014
M.S.