Fully automated segmentation of brain tumor from multiparametric MRI using 3D context U-Net with deep supervision. - Mingquan Lin; Shadab Momin; Boran Zhou; Katherine Tang; Yang Lei 002; Walter J. Curran; Tian Liu 004; Xiaofeng Yang 005 (Computer-Aided Diagnosis, 2021)

Deep learning-based deformable MRI-CBCT registration of male pelvic region. - Shadab Momin; Yang Lei 002; Tonghe Wang; Yabo Fu; Pretesh Patel; Ashesh B. Jani; Walter J. Curran; Tian Liu 004; Xiaofeng Yang 005 (Computer-Aided Diagnosis, 2021)

CT-MRI pelvic deformable registration via deep learning. - Shadab Momin; Yang Lei 002; Tonghe Wang; Yabo Fu; Pretesh Patel; Ashesh B. Jani; Walter J. Curran; Tian Liu 004; Xiaofeng Yang 005 (Image-Guided Procedures, 2021)

Radiation dose prediction for pancreatic stereotactic body radiotherapy via convention neural networks. - Shadab Momin; Yang Lei 002; Tonghe Wang; Yabo Fu; Pretesh Patel; Ashesh B. Jani; Walter J. Curran; Tian Liu 004; Xiaofeng Yang 005 (Image-Guided Procedures, 2021)

Brain multi-parametric MRI tumor subregion segmentation via hierarchical substructural activation network. - Yang Lei 002; Shadab Momin; Zhen Tian; Justin Roper; Jolinta Lin; Shannon Kahn; Hui-Kuo Shu; Jeffrey D. Bradley; Tian Liu 004; Xiaofeng Yang 005 (Biomedical Applications in Molecular, Structural, and Functional Imaging, 2022)

Deep-learning-based modulated radiotherapy dose plan prediction with integration of non-modulated dose distribution. - Shadab Momin; Yang Lei 002; Jiahan Zhang; Tonghe Wang; Justin Roper; Jeffrey D. Bradley; Pretesh Patel; Tian Liu 004; Xiaofeng Yang 005 (Image-Guided Procedures, 2022)

Deep Q-learning of global optimizer of multiply model parameters for viscoelastic imaging. - Hongmei Zhang 001; Kai Wang; Yan Zhou; Shadab Momin; Xiaofeng Yang 005; Mostafa Fatemi; Michael F. Insana (CoRR, 2022)