Search Results - "Lin, Mu-Han"

Clinical Implementation of PSMA-PET Guided Tumor Response-Based Boost Adaptation in Online Adaptive Radiotherapy for High-Risk Prostate Cancer.

Authors: Li, Ruiqi Lin, Mu-Han Nguyen, Nghi C. et al.

Source: Cancers. Sep2025, Vol. 17 Issue 17, p2893. 12p.

Best Practice: CT‐guided Adaptive Radiotherapy Reference Planning on the Ethos Platform.

Authors: Ray, Xenia Harms, Joseph Price, Alex et al.

Source: Journal of Applied Clinical Medical Physics; May2026, Vol. 27 Issue 5, p1-15, 15p

Strategies for enhancing delivery efficiency on MR‐Linac: A dosimetric study and historical plan review.

Authors: Zhang, Ying Tang, Shanshan Kabat, Christopher et al.

Source: Journal of Applied Clinical Medical Physics; May2026, Vol. 27 Issue 5, p1-12, 12p

Adapt‐on‐demand: Enabling flexible and scalable adaptive radiotherapy through workflow automation.

Authors: Domal, Sean Choi, Min Geon Visak, Justin et al.

Source: Journal of Applied Clinical Medical Physics; May2026, Vol. 27 Issue 5, p1-9, 9p

Development and implementation of an MRI‐only simulation, planning, and treatment workflow for prostate radiotherapy using synthetic CT on MR‐linac.

Authors: Reiazi, Reza Ding, Yao Vijayan, Sarath et al.

Source: Journal of Applied Clinical Medical Physics; Feb2026, Vol. 27 Issue 2, p1-11, 11p

Development and clinical implementation of an MRI‐only planning workflow featuring deep learning‐based synthetic CT for prostate cancer external beam radiotherapy.

Authors: Deng, Jie Liang, Xiao Iakovenko, Viktor et al.

Source: Journal of Applied Clinical Medical Physics; Sep2025, Vol. 26 Issue 9, p1-14, 14p

Improving efficiency in lung SAbR planning using integrated tools for X‐ray based adaptive radiotherapy.

Authors: Visak, Justin Washington, Brien Liao, Chien‐Yi et al.

Source: Journal of Applied Clinical Medical Physics; Jul2025, Vol. 26 Issue 7, p1-11, 11p

Closing the gap in plan quality: Leveraging deep‐learning dose prediction for adaptive radiotherapy.

Authors: Domal, Sean J. Maniscalco, Austen Visak, Justin et al.

Source: Journal of Applied Clinical Medical Physics; May2025, Vol. 26 Issue 5, p1-14, 14p

Enhanced dose prediction for head and neck cancer artificial intelligence‐driven radiotherapy based on transfer learning with limited training data.

Authors: Wang, Hui‐Ju Maniscalco, Austen Sher, David et al.

Source: Journal of Applied Clinical Medical Physics; May2025, Vol. 26 Issue 5, p1-12, 12p

Assessing population‐based to personalized planning strategies for head and neck adaptive radiotherapy.

Authors: Visak, Justin Liao, Chien‐Yi Zhong, Xinran et al.

Source: Journal of Applied Clinical Medical Physics; Mar2025, Vol. 26 Issue 3, p1-10, 10p

Beyond conventional bounds: Surpassing system limits for stereotactic ablative (SAbR) lung radiotherapy using CBCT‐based adaptive planning system.

Authors: Gonzalez, Yesenia Visak, Justin Overman, Luke et al.

Source: Journal of Applied Clinical Medical Physics; Aug2024, Vol. 25 Issue 8, p1-9, 9p

Physicists should perform reference planning for CBCT guided online adaptive radiotherapy.

Authors: Lin, Mu‐Han Kavanaugh, James A. Kim, Minsun et al.

Source: Journal of Applied Clinical Medical Physics; Oct2023, Vol. 24 Issue 10, p1-7, 7p

Evaluating machine learning enhanced intelligent‐optimization‐engine (IOE) performance for ethos head‐and‐neck (HN) plan generation.

Authors: Visak, Justin Inam, Enobong Meng, Boyu et al.

Source: Journal of Applied Clinical Medical Physics; Jul2023, Vol. 24 Issue 7, p1-10, 10p

Clinical experience on patient‐specific quality assurance for CBCT‐based online adaptive treatment plan.

Authors: Shen, Chenyang Chen, Liyuan Zhong, Xinran et al.

Source: Journal of Applied Clinical Medical Physics; Apr2023, Vol. 24 Issue 4, p1-6, 6p

On the feasibility of improved target coverage without compromising organs at risk using online adaptive stereotactic partial breast irradiation (A‐SPBI).

Authors: Montalvo, Steven K. Kim, Nathan Nwachukwu, Chika et al.

Source: Journal of Applied Clinical Medical Physics; Feb2023, Vol. 24 Issue 2, p1-5, 5p

Extensive upfront validation and testing are needed prior to the clinical implementation of AI‐based auto‐segmentation tools.

Authors: Roper, Justin Lin, Mu‐Han Rong, Yi

Source: Journal of Applied Clinical Medical Physics; Jan2023, Vol. 24 Issue 1, p1-6, 6p

Performance of an Artificial Intelligence Foundation Model for Prostate Radiotherapy Segmentation.

Authors: Doucette, Matthew Liao, Chien-Yi Lin, Mu-Han et al.

Source: JCO Clinical Cancer Informatics. 4/14/2026, Vol. 10, p1-10. 10p.

4D patient dose reconstruction using online measured EPID cine images for lung SBRT treatment validation.

Authors: Lin, Mu-Han Li, Jinsheng Wang, Lu et al.

Source: Medical Physics. Oct2012, Vol. 39 Issue 10, p5949-5958. 10p.

Subjects: Radiation doses, Image reconstruction, Feasibility studies, Four-dimensional imaging, Image registration, Uncertainty (Information theory), Gamma rays

Artificial Intelligence in Image Assisted Radiation Oncology.

Authors: Wang, He Zhao, Yao Chen, Xinru et al.

Source: Cancers. Jun2026, Vol. 18 Issue 11, p1715. 47p.

Boosting radiotherapy dose calculation accuracy with deep learning.

Authors: Xing, Yixun Zhang, You Nguyen, Dan et al.

Source: Journal of Applied Clinical Medical Physics; Aug2020, Vol. 21 Issue 8, p149-159, 11p