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- 2022
-
Mark
Development of dosimetric procedures for experimental ultra-high dose rate irradiation at a clinical linear accelerator
(
- Chapter in Book/Report/Conference proceeding › Paper in conference proceeding
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Mark
Evalutation of two commercial deep learning OAR segmentation models for prostate cancer treatment
2022) ESTRO 2022(
- Contribution to conference › Abstract
-
Mark
Pelvic U-Net : multi-label semantic segmentation of pelvic organs at risk for radiation therapy anal cancer patients using a deeply supervised shuffle attention convolutional neural network
(
- Contribution to journal › Article
- 2021
-
Mark
Volumetric modulated arc therapy dose prediction and deliverable treatment plan generation for prostate cancer patients using a densely connected deep learning model
(
- Contribution to journal › Article
-
Mark
Deep learning-based classification and structure name standardization for organ at risk and target delineations in prostate cancer radiotherapy
(
- Contribution to journal › Article
-
Mark
A deeply supervised convolutional neural network ensemble for multilabel segmentation of pelvic OARs
2021) European Society Radiation Oncology 2021 In Radiotherapy and Oncology 161(Suppl 1). p.1417-1418(
- Contribution to journal › Published meeting abstract
- 2020
-
Mark
Determining the impact of air-side cleaning for heat exchangers in ventilation systems
(
- Contribution to journal › Article
-
Mark
Correction for Ion Recombination in a Built-in Monitor Chamber of a Clinical Linear Accelerator at Ultra-High Dose Rates
(
- Contribution to journal › Article
- 2019
-
Mark
Modifying a clinical linear accelerator for delivery of ultra-high dose rate irradiation
(
- Contribution to journal › Article
- 2017
-
Mark
Cloud-based measurement system for long-term data acquisition of temperature and humidity data in a timber research facility
2017)(
- Book/Report › Report