Wen-Chien Hsi
Associate Professor of Physics
Also affiliated: Rush University Medical Center (2004–2009); McLaren Regional Medical Center (2013–2014); University of Arkansas Medical Center (2023–2026); McLaren Health Care (2013–2014); University of Florida Health (2008–2025); University of Florida (2008–2025); Baptist Health South Florida (2018); ProCure (United States) (2011–2012); University of Florida Health Science Center (2008–2023)
Research Areas
Biomedical Subjects
Links
Biography and Research Information
OverviewAI-generated summary
W. Hsi's research focuses on the application and verification of advanced radiation therapy techniques, particularly proton therapy. Hsi has been involved in studies comparing different radiation modalities, including intensity-modulated proton therapy (IMPT), intensity-modulated carbon ion therapy, and volumetric modulated arc therapy, for treating various cancers. A significant area of their work involves the clinical commissioning and quality assurance of IMPT systems, as detailed in contributions to AAPM Task Group reports. Hsi has also investigated methods for in vivo verification of proton beam paths using PET/CT imaging and assessed intrafraction motion in prostate cancer patients using cine-Magnetic Resonance Imaging. Collaborations include work with Santanu Samanta, R.J. Megahed, Mumtaz Patel, and Michael Bauer, all at the University of Arkansas for Medical Sciences.
Metrics
- h-index: 7
- Publications: 49
- Citations: 279
Positions
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Associate Professor of Physics publications 2023–2026University of Arkansas for Medical Sciences Institution web page
Selected Publications
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Evaluation of dosimetric variations from anatomical changes in head and neck cancer patients treated with intensity modulated proton therapy (2026)
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Impact of variable RBE in prostate cancer IMPT planning on normal tissue complications (2025)
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Machine learning-enhanced normal tissue complication probability modeling for late sciatic nerve toxicity prediction in carbon-ion radiotherapy: model development and clinical validation (2025)
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PET-CT based Dose Verification in Carbon Ion Radiotherapy for Choroidal Melanoma: A Linear Mixed-effects Model (2025)
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Evaluation of the first-of-a-kind configuration of C-rad surface guidance system for proteus one proton therapy system (2025)
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Evaluation of a Machine-Learning Normal Tissue Complication Probability Model to Predict Late Sciatic Nerve Toxicity after Carbon-Ion Radiotherapy (2025)
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Planning strategy on delivery robustness of intensity modulated proton therapy to treat patients with head-neck cancers (2024)
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Can we establish the golden beam data approach for Proteus One system? (2024)
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Anatomical changes in the male pelvis between the supine and upright positions—A feasibility study for prostate treatments in the upright position (2023)
Collaboration Network
Top Collaborators
- Evaluation of a Machine-Learning Normal Tissue Complication Probability Model to Predict Late Sciatic Nerve Toxicity after Carbon-Ion Radiotherapy
- PET-CT based Dose Verification in Carbon Ion Radiotherapy for Choroidal Melanoma: A Linear Mixed-effects Model
- Evaluation of a Machine-Learning Normal Tissue Complication Probability Model to Predict Late Sciatic Nerve Toxicity after Carbon-Ion Radiotherapy
- Machine learning-enhanced normal tissue complication probability modeling for late sciatic nerve toxicity prediction in carbon-ion radiotherapy: model development and clinical validation
- Evaluation of a Machine-Learning Normal Tissue Complication Probability Model to Predict Late Sciatic Nerve Toxicity after Carbon-Ion Radiotherapy
- Machine learning-enhanced normal tissue complication probability modeling for late sciatic nerve toxicity prediction in carbon-ion radiotherapy: model development and clinical validation
- Evaluation of a Machine-Learning Normal Tissue Complication Probability Model to Predict Late Sciatic Nerve Toxicity after Carbon-Ion Radiotherapy
- Machine learning-enhanced normal tissue complication probability modeling for late sciatic nerve toxicity prediction in carbon-ion radiotherapy: model development and clinical validation
- Evaluation of a Machine-Learning Normal Tissue Complication Probability Model to Predict Late Sciatic Nerve Toxicity after Carbon-Ion Radiotherapy
- Machine learning-enhanced normal tissue complication probability modeling for late sciatic nerve toxicity prediction in carbon-ion radiotherapy: model development and clinical validation
- Anatomical changes in the male pelvis between the supine and upright positions—A feasibility study for prostate treatments in the upright position
- Anatomical changes in the male pelvis between the supine and upright positions—A feasibility study for prostate treatments in the upright position
- Anatomical changes in the male pelvis between the supine and upright positions—A feasibility study for prostate treatments in the upright position
- Anatomical changes in the male pelvis between the supine and upright positions—A feasibility study for prostate treatments in the upright position
- Anatomical changes in the male pelvis between the supine and upright positions—A feasibility study for prostate treatments in the upright position
- Anatomical changes in the male pelvis between the supine and upright positions—A feasibility study for prostate treatments in the upright position
- Anatomical changes in the male pelvis between the supine and upright positions—A feasibility study for prostate treatments in the upright position
- Anatomical changes in the male pelvis between the supine and upright positions—A feasibility study for prostate treatments in the upright position
- Anatomical changes in the male pelvis between the supine and upright positions—A feasibility study for prostate treatments in the upright position
- Can we establish the golden beam data approach for Proteus One system?
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