Radiology Evaluation of data uncertainty for deep-learning-based CT noise reduction using ensemble patient data and a virtual imaging trial framework. April 12, 2024
Radiology Patient-specific uncertainty and bias quantification of non-transparent convolutional neural network model through knowledge distillation and Bayesian deep learning. April 17, 2023
Medical Imaging | Radiology Estimating the minimum SNR necessary for object detection in the projection domain. January 23, 2023
Radiology Deep learning enabled ultra-fast-pitch acquisition in clinical X-ray Computed Tomography. August 20, 2021
Radiology The effects of physics-based data augmentation on the generalizability of deep neural networks: demonstration on nodule false positive reduction. August 9, 2019