📚 Experience

• 🏥 Clinical Observation

• Varian TrueBeam/VitalBeam, Patient-specific/Weekly/Monthly/Annual Machine QA, UTSW, 2019.09 and 2022.09.
• Elekta Unity MR Linac, Monthly/Annual Machine QA, UTSW, 2022.10.
• Varian Halcyon, Patient-specific QA, UTSW, 2022.10.
• Conventional Simulation (General), IMRT Planning, and Electron Planning, UTSW, 2019.10.

• Gamma Knife Stereotactic Radiosurgery, UTSW, 2019.11.

• 📖 Research

• 2019.08 - 2022.08, Head and Neck Cancer Radiotherapy Treatment Outcome Prediction, UTSW.
  • Proposed a multiple-classifier multi-objective multiple-modality predictive (mCOM) model for HNC locoregional recurrence pre-treatment prediction.
  • Utilized delta-radiomics feature for HNC locoregional recurrence post-treatment prediction.
  • Investigated the additive benefit of CT and intra-treatment CBCT features for HNC radiotherapy outcome prediction.
  • Built a deep transfer learning model for predicting the need of aggressive nutritional supplementation for patients receiving radiotherapy.
  • Proposed an automatic segmentation guided cancer recurrence-free survival prediction model.
  • Introduced learning with rejection option strategy for improving prediction reliability on selected patient group.
• 2021.10 - 2022.06, Optimal PTV Margin for Postoperative Prostatic Fossa Daily ART, UTSW.
  • Investigated the post-treatment CTV coverage when different PTV margins were applied on CTV delineated before daily ART.
  • Evaluated the time dependence of CTV coverage using different PTV margins.
• 2021.05 - Present, Pancreatic Cancer Treatment Outcome Prediction, UTSW.
  • Built a delta-radiomics-based survival model for predicting the treatment outcome of patients undergoing surgical resection of PDAC following neoadjuvant therapy.
  • Evaluated the predictive ability of features extracted from peritumoral area and the therapy induced feature change for PDAC patient treatment outcome prediction.
• 2019.05 - 2021.06, Lateral Skull Base Tumor Growth Prediction, UTSW.
  • Developed a lateral skull base tumor automatic segmentation method using MRI image.
  • Investigated the stability of tumor delineation by human expert and auto-segmentation.
  • Proposed a joint tumor enlargement prediction and segmentation model using intitial diagnostic MR image for vestibular schwannoma.
  • Build a prediction model for vestibular schwannoma enlargement after radiosurgery using tumor shape and MRI texture features.
• 2019.08 - 2019.12, High-Resolution Brain PET Imaging, UTSW.
  • Simulated the coincidence signal can be detected by a high-resolution low-sensitivity detecor and a low-resolution high-sensitivity detector using Monte Carlo method.
  • Constructed a conversion (inverse method) matrix for calculating the coincidence signal can be detected by a virtual high-resolution and high-sensitivity detecor for high-resolution brain PET imaging.
• 2019.01 - 2019.07, Similar Patients Retrieval for Radiotherapy Treatment Planning, UTSW.
  • Proposed a relational autoencoder based descriptor which considers patient’s geometry and the relationship of plan dose distributions between different patients for retrieving similar patient for prostate cancer radiotherapy treatment planning.
• 2015.09 - 2018.05, Imaging Method Based on Field Emission X-ray Source Array, IIPPR, XJTU .
  • Participated in the design and manufacture of the field emission x-ray source array imaging and lateral Compton scattering imaging verification platform.
  • Designed a stationary CT scheme based on x-ray source array.
  • Proposed a nonlinear constrain based method to address the overlapping projection problem due to simultaneous scanning of the x-ray source array for source-array-based radiographic imaging.