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Jason Holmes

Showing results (11-20 of 21) with videos related to

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Frontiers in Oncology|August 2, 2023
Evaluating large language models on a highly-specialized topic, radiation oncology physicsJason Holmes, Zhengliang Liu, Lian Zhang, et al.
Meta-Radiology|September 17, 2025
Critical review of patient outcome study in head and neck cancer radiotherapyJingyuan Chen, Yunze Yang, Chenbin Liu, et al.
Medical Physics|June 8, 2023
Deep-learning based fast and accurate 3D CT deformable image registration in lung cancerYuzhen Ding, Hongying Feng, Yunze Yang, et al.
Arxiv|May 3, 2023
Deep-Learning-based Fast and Accurate 3D CT Deformable Image Registration in Lung CancerYuzhen Ding, Hongying Feng, Yunze Yang, et al.
NPJ Digital Medicine|December 18, 2025
Personalizing prostate cancer education for patients using an EHR-Integrated LLM agentYuexing Hao, Jason Holmes, Mark R Waddle, et al.
Medical Physics|February 6, 2024
Lian Zhang, Zhengliang Liu, Lu Zhang, et al.
Meta-Radiology|February 12, 2024
Artificial general intelligence for radiation oncologyChenbin Liu, Zhengliang Liu, Jason Holmes, et al.
Mayo Clinic Proceedings. Digital Health|March 25, 2025
Retrospective Comparative Analysis of Prostate Cancer In-Basket Messages: Responses From Closed-Domain Large Language Models Versus Clinical TeamsYuexing Hao, Jason Holmes, Jared Hobson, et al.
Medical Physics|July 16, 2025
Fine-tuning open-source large language models to improve their performance on radiation oncology tasks: A feasibility study to investigate their potential clinical applications in radiation oncologyPeilong Wang, Zhengliang Liu, Yiwei Li, et al.
Research Square|June 29, 2026
Research through Evaluation for Large Language Model in Patient-Clinician CommunicationsYuexing Hao, Jason Holmes, Jared Hobson, et al.
Pageof 3

Showing results (11-20 of 21) with videos related to

Sort By:
Pageof 3
Frontiers in Oncology|August 2, 2023
Evaluating large language models on a highly-specialized topic, radiation oncology physicsJason Holmes, Zhengliang Liu, Lian Zhang, et al.
Meta-Radiology|September 17, 2025
Critical review of patient outcome study in head and neck cancer radiotherapyJingyuan Chen, Yunze Yang, Chenbin Liu, et al.
Medical Physics|June 8, 2023
Deep-learning based fast and accurate 3D CT deformable image registration in lung cancerYuzhen Ding, Hongying Feng, Yunze Yang, et al.
Arxiv|May 3, 2023
Deep-Learning-based Fast and Accurate 3D CT Deformable Image Registration in Lung CancerYuzhen Ding, Hongying Feng, Yunze Yang, et al.
NPJ Digital Medicine|December 18, 2025
Personalizing prostate cancer education for patients using an EHR-Integrated LLM agentYuexing Hao, Jason Holmes, Mark R Waddle, et al.
Medical Physics|February 6, 2024
Lian Zhang, Zhengliang Liu, Lu Zhang, et al.
Meta-Radiology|February 12, 2024
Artificial general intelligence for radiation oncologyChenbin Liu, Zhengliang Liu, Jason Holmes, et al.
Mayo Clinic Proceedings. Digital Health|March 25, 2025
Retrospective Comparative Analysis of Prostate Cancer In-Basket Messages: Responses From Closed-Domain Large Language Models Versus Clinical TeamsYuexing Hao, Jason Holmes, Jared Hobson, et al.
Medical Physics|July 16, 2025
Fine-tuning open-source large language models to improve their performance on radiation oncology tasks: A feasibility study to investigate their potential clinical applications in radiation oncologyPeilong Wang, Zhengliang Liu, Yiwei Li, et al.
Research Square|June 29, 2026
Research through Evaluation for Large Language Model in Patient-Clinician CommunicationsYuexing Hao, Jason Holmes, Jared Hobson, et al.
Pageof 3