W Hsi
Researcher
Also affiliated: University of North Florida (2009–2020); Rush University Medical Center (2004–2009); Baptist Hospital of Miami (2018); Proton (Malaysia) (2015–2016); Orlando Health (2011–2012); University of Arkansas Medical Center (2023); McLaren Health Care (2013–2014); University of Florida Health (2008–2023); University of Florida (2008–2025); Jacksonville University (2020); Baptist Health South Florida (2018); ProCure (United States) (2010–2012); University of Florida Health Science Center (2009); Florida College (2021–2025)
Faculty Researcher
Research Areas
Biomedical Subjects
Links
Biography and Research Information
OverviewAI-generated summary
W Hsi's research focuses on advancing radiation therapy techniques, particularly for lung and prostate cancers. Their work investigates the dosimetric uncertainties and potential therapeutic improvements associated with pencil beam scanning proton therapy. This includes studies on anatomical changes in patients and their impact on treatment plans, as well as the energy dependency of detector systems used in proton and carbon-ion radiotherapy.
Hsi has published research on dose verification platforms for proton therapy and the root causes of measurement failures. They also explore the use of empirical models to evaluate uncertainties in spot modeling for different radiotherapy types. Collaborations at the University of Arkansas for Medical Sciences include Santanu Samanta and R.J. Megahed. Hsi's work has an h-index of 7 with 266 citations across 47 publications.
Metrics
- h-index: 7
- Publications: 47
- Citations: 269
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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