Shadab Momin

According to our database, Shadab Momin authored at least 7 papers between 2021 and 2022.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2022

Deep Q-learning of global optimizer of multiply model parameters for viscoelastic imaging.

Hongmei Zhang, Kai Wang, Yan Zhou, Shadab Momin, Xiaofeng Yang, Mostafa Fatemi, Michael F. Insana

CoRR, 2022

Deep-learning-based modulated radiotherapy dose plan prediction with integration of non-modulated dose distribution.

Shadab Momin, Yang Lei, Jiahan Zhang, Tonghe Wang, Justin Roper, Jeffrey D. Bradley, Pretesh Patel, Tian Liu, Xiaofeng Yang

Proceedings of the Medical Imaging 2022: Image-Guided Procedures, 2022

Brain multi-parametric MRI tumor subregion segmentation via hierarchical substructural activation network.

Yang Lei, Shadab Momin, Zhen Tian, Justin Roper, Jolinta Lin, Shannon Kahn, Hui-Kuo Shu, Jeffrey D. Bradley, Tian Liu, Xiaofeng Yang

Proceedings of the Medical Imaging 2022: Biomedical Applications in Molecular, 2022

2021

Radiation dose prediction for pancreatic stereotactic body radiotherapy via convention neural networks.

Shadab Momin, Yang Lei, Tonghe Wang, Yabo Fu, Pretesh Patel, Ashesh B. Jani, Walter J. Curran, Tian Liu, Xiaofeng Yang

Proceedings of the Medical Imaging 2021: Image-Guided Procedures, 2021

CT-MRI pelvic deformable registration via deep learning.

Shadab Momin, Yang Lei, Tonghe Wang, Yabo Fu, Pretesh Patel, Ashesh B. Jani, Walter J. Curran, Tian Liu, Xiaofeng Yang

Proceedings of the Medical Imaging 2021: Image-Guided Procedures, 2021

Deep learning-based deformable MRI-CBCT registration of male pelvic region.

Shadab Momin, Yang Lei, Tonghe Wang, Yabo Fu, Pretesh Patel, Ashesh B. Jani, Walter J. Curran, Tian Liu, Xiaofeng Yang

Proceedings of the Medical Imaging 2021: Computer-Aided Diagnosis, 2021

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, Walter J. Curran, Tian Liu, Xiaofeng Yang

Proceedings of the Medical Imaging 2021: Computer-Aided Diagnosis, 2021