Brain MRI classification based on machine learning framework with auto-context model. - Yang Lei 002; Yingzi Liu; Tonghe Wang; Sibo Tian; Xue Dong; Xiaojun Jiang; Tian Liu 004; Hui Mao; Walter J. Curran; Hui-Kuo Shu; Xiaofeng Yang 005 (Biomedical Applications in Molecular, Structural, and Functional Imaging, 2019)

Automatic multi-organ segmentation in thorax CT images using U-Net-GAN. - Yang Lei 002; Yingzi Liu; Xue Dong; Sibo Tian; Tonghe Wang; Xiaojun Jiang; Kristin Higgins; Jonathan J. Beitler; David S. Yu; Tian Liu 004; Walter J. Curran; Yi Fang; et al. (Computer-Aided Diagnosis, 2019)

Automatic MRI prostate segmentation using 3D deeply supervised FCN with concatenated atrous convolution. - Bo Wang; Yang Lei 002; Jiwoong Jason Jeong; Tonghe Wang; Yingzi Liu; Sibo Tian; Pretesh Patel; Xiaojun Jiang; Ashesh B. Jani; Hui Mao; Walter J. Curran; Tian Liu 004; et al. (Computer-Aided Diagnosis, 2019)

MRI-based synthetic CT generation using deep convolutional neural network. - Yang Lei 002; Tonghe Wang; Yingzi Liu; Kristin Higgins; Sibo Tian; Tian Liu 004; Hui Mao; Hyunsuk Shim; Walter J. Curran; Hui-Kuo Shu; Xiaofeng Yang 005 (Image Processing, 2019)

Intensity non-uniformity correction in MR imaging using deep learning. - Xianjin Dai; Yang Lei 002; Yingzi Liu; Tonghe Wang; Walter J. Curran; Pretesh Patel; Tian Liu 004; Xiaofeng Yang 005 (Biomedical Applications in Molecular, Structural, and Functional Imaging, 2020)

3D thyroid segmentation in CT using self-attention convolutional neural network. - Xiuxiu He; Bangjun Guo; Yang Lei 002; Yingzi Liu; Tonghe Wang; Walter J. Curran; Longjiang Zhang; Tian Liu 004; Xiaofeng Yang 005 (Computer-Aided Diagnosis, 2020)

Cone-beam Computed Tomography (CBCT) and CT image registration aided by CBCT-based synthetic CT. - Yabo Fu; Yang Lei 002; Yingzi Liu; Tonghe Wang; Walter J. Curran; Tian Liu 004; Pretesh Patel; Xiaofeng Yang 005 (Image Processing, 2020)

Liver synthetic CT generation based on a dense-CycleGAN for MRI-only treatment planning. - Yingzi Liu; Yang Lei 002; Tonghe Wang; Jun Zhou 025; Liyong Lin; Tian Liu 004; Pretesh Patel; Walter J. Curran; Lei Ren; Xiaofeng Yang 005 (Image Processing, 2020)

HRTF-Based Data Augmentation Method for Acoustic Scene Classification. - Yingzi Liu; Haocong Yang; Chuang Shi; Jiangnan Liang (BMSB, 2021)

Low-Complexity Acoustic Scene Classification Using Data Generation Based On Primary Ambient Extraction. - Chuang Shi; Haocong Yang; Yingzi Liu; Jiangnan Liang (BMSB, 2021)

Patient-Specific Deep Reinforcement Learning for Automatic Replanning in Head-and-Neck Cancer Proton Therapy. - Malvern Madondo; Yuan Shao; Yingzi Liu; Jun Zhou 025; Xiaofeng Yang 005; Zhen Tian (CoRR, 2025)

Automated Treatment Planning for Interstitial HDR Brachytherapy for Locally Advanced Cervical Cancer using Deep Reinforcement Learning. - Mohammadamin Moradi; Runyu Jiang; Yingzi Liu; Malvern Madondo; Tianming Wu; James J. Sohn; Xiaofeng Yang; Yasmin Hasan; Zhen Tian (CoRR, 2025)