Medical Imaging | Radiation Oncology Real-time liver tumor localization via combined surface imaging and a single x-ray projection. February 2, 2023
Medical Physics | Radiation Oncology Deep learning based direct segmentation assisted by deformable image registration for cone-beam CT based auto-segmentation for adaptive radiotherapy. January 19, 2023
Biomedical Engineering | Radiation Oncology | Radiology Real-time liver tumor localization via a single x-ray projection using deep graph neural network-assisted biomechanical modeling. April 28, 2022
Radiology Synthesizing CT images from MR images with deep learning: model generalization for different datasets through transfer learning. February 5, 2021
Medical Physics | Radiation Oncology A comparison of Monte Carlo dropout and bootstrap aggregation on the performance and uncertainty estimation in radiation therapy dose prediction with deep learning neural networks. January 27, 2021
Medical Imaging | Radiation Oncology Semi-automatic sigmoid colon segmentation in CT for radiation therapy treatment planning via an iterative 2.5-D deep learning approach. December 31, 2020
Radiology On the robustness of deep learning based lung nodule classification for CT images with respect to image noise. November 5, 2020
Oncology | Radiology Multifaceted radiomics for distant metastasis prediction in head & neck cancer. April 15, 2020
Medical Physics | Radiology An introduction to deep learning in medical physics: advantages, potential, and challenges. January 23, 2020
Radiology Intelligent Parameter Tuning in Optimization-Based Iterative CT Reconstruction via Deep Reinforcement Learning. May 20, 2019
Medical Physics | Radiation Oncology Generating synthesized computed tomography (CT) from cone-beam computed tomography (CBCT) using CycleGAN for adaptive radiation therapy. May 20, 2019
Medical Physics | Radiation Oncology Intelligent inverse treatment planning via deep reinforcement learning, a proof-of-principle study in high dose-rate brachytherapy for cervical cancer. April 12, 2019