Yingli Yang

Deep learning approaches using 2D and 3D convolutional neural networks for generating male pelvic synthetic CT from MRI.

Jie Fu, Yingli Yang, Kamal Singhrao, 2018, Medical physics.

Parallel imaging and convolutional neural network combined fast MR image reconstruction: Applications in low-latency accelerated real-time imaging.

Vahid Ghodrati, Yu Gao, Peng Hu, 2019, Medical physics.

MR image reconstruction using deep learning: evaluation of network structure and loss functions.

Vahid Ghodrati, Mark Bydder, Peng Hu, 2019, Quantitative imaging in medicine and surgery.

An Automatic Deep Learning–Based Workflow for Glioblastoma Survival Prediction Using Preoperative Multimodal MR Images: A Feasibility Study

Jie Fu, Dan Ruan, Yu Gao, 2020, Advances in radiation oncology.

A novel 3D multi-path DenseNet for improving automatic segmentation of glioblastoma on pre-operative multi-modal MR images

John H. Lewis, Dan Ruan, Jie Fu, 2020 .

Generation of abdominal synthetic CTs from 0.35T MR images using generative adversarial networks for MR-only liver radiotherapy

Minsong Cao, Jie Fu, John H. Lewis, 2019, Biomedical physics & engineering express.

Accelerated 3D bSSFP imaging for treatment planning on an MRI‐guided radiotherapy system

Minsong Cao, Yu Gao, Peng Hu, 2018, Medical physics.