Biography and Research Information

OverviewAI-generated summary

W Hsi's research program investigates advanced applications in medical imaging and radiotherapy, with a focus on improving cancer treatment efficacy and understanding treatment-related toxicities. Recent publications explore the use of dual-energy spectral CT for assessing treatment response in head-neck cancers and PET-CT based dose verification in carbon-ion radiotherapy for choroidal melanoma. Studies also address the evaluation of machine-learning models to predict late sciatic nerve toxicity following carbon-ion radiotherapy and the development of planning strategies for intensity-modulated proton therapy in head-neck cancers. Further work examines anatomical changes in the male pelvis to inform prostate treatment positioning and the dosimetric uncertainties associated with spot-scanning carbon-ion and proton radiotherapy.

Metrics

  • h-index: 18
  • Publications: 47
  • Citations: 849

Selected Publications

  • Impact of variable RBE in prostate cancer IMPT planning on normal tissue complications (2025) DOI
  • Machine learning-enhanced normal tissue complication probability modeling for late sciatic nerve toxicity prediction in carbon-ion radiotherapy: model development and clinical validation (2025) DOI
  • PET-CT based Dose Verification in Carbon Ion Radiotherapy for Choroidal Melanoma: A Linear Mixed-effects Model (2025) DOI
  • Evaluation of the first-of-a-kind configuration of C-rad surface guidance system for proteus one proton therapy system (2025) DOI
  • Evaluation of a Machine-Learning Normal Tissue Complication Probability Model to Predict Late Sciatic Nerve Toxicity after Carbon-Ion Radiotherapy (2025) DOI
  • Planning strategy on delivery robustness of intensity modulated proton therapy to treat patients with head-neck cancers (2024) DOI
  • Anatomical changes in the male pelvis between the supine and upright positions—A feasibility study for prostate treatments in the upright position (2023) DOI

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