Medical Physics | Oncology | Radiology Ultra-fast multi-parametric 4D-MRI image reconstruction for real-time applications using a Downsampling-Invariant Deformable Registration (D2R) model. October 13, 2023
Medical Physics | Radiation Oncology Predicting successful clinical candidates for fiducial-free lung tumor tracking with a deep learning binary classification model. September 11, 2023
Medical Physics | Radiation Oncology NuTracker: a coordinate-based neural network representation of lung motion for intrafraction tumor tracking with various surrogates in radiotherapy. December 20, 2022
Medical Physics | Radiation Oncology Development of a deep learning-based patient-specific target contour prediction model for markerless tumor positioning. January 13, 2022
Medical Physics | Radiation Oncology Simulated four-dimensional CT for markerless tumor tracking using a deep learning network with multi-task learning. November 14, 2020
Medical Imaging | Oncology | Radiology Estimating 3-dimensional liver motion using deep learning and 2-dimensional ultrasound images. October 3, 2020
Oncology | Radiology Patient-specific and global convolutional neural networks for robust automatic liver tumor delineation in follow-up CT studies. November 14, 2018
Oncology | Radiology Novel real-time tumor-contouring method using deep learning to prevent mistracking in X-ray fluoroscopy. November 13, 2018