Mohamad Koohi-Moghadam

According to our database, Mohamad Koohi-Moghadam authored at least 8 papers between 2012 and 2023.

Collaborative distances:

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

2023

Generative AI in Medical Imaging: Applications, Challenges, and Ethics.

Mohamad Koohi-Moghadam, Kyongtae Ty Bae

J. Medical Syst., December, 2023

Predicting oral cancer risk in patients with oral leukoplakia and oral lichenoid mucositis using machine learning.

John Adeoye, Mohamad Koohi-Moghadam, Siu-Wai Choi, Li-Wu Zheng, Anthony Wing Ip Lo, Raymond King-Yin Tsang, Velda Ling Yu Chow, Abdulwarith Akinshipo, Peter Thomson, Yu-Xiong Su

J. Big Data, 2023

Beta-Rank: A Robust Convolutional Filter Pruning Method For Imbalanced Medical Image Analysis.

Morteza Homayounfar, Mohamad Koohi-Moghadam, Reza Rawassizadeh, Varut Vardhanabhuti

CoRR, 2023

2022

Comparison of time-to-event machine learning models in predicting oral cavity cancer prognosis.

John Adeoye, Liuling Hui, Mohamad Koohi-Moghadam, Jia Yan Tan, Siu-Wai Choi, Peter Thomson

Int. J. Medical Informatics, 2022

Self-supervised region-aware segmentation of COVID-19 CT images using 3D GAN and contrastive learning.

Siyavash Shabani, Morteza Homayounfar, Varut Vardhanabhuti, Mohammad-Ali Nikouei Mahani, Mohamad Koohi-Moghadam

Comput. Biol. Medicine, 2022

2019

Predicting disease-associated mutation of metal-binding sites in proteins using a deep learning approach.

Mohamad Koohi-Moghadam, Haibo Wang, Yuchuan Wang, Xinming Yang, Hongyan Li, Junwen Wang, Hongzhe Sun

Nat. Mach. Intell., 2019

MetaMarker: a pipeline for de novo discovery of novel metagenomic biomarkers.

Mohamad Koohi-Moghadam, Mitesh J. Borad, Nhan L. Tran, Kristin R. Swanson, Lisa Boardman, Hong-Zhe Su, Junwen Wang

Bioinform., 2019

2012

Molecular docking with opposition-based differential evolution.

Mohamad Koohi-Moghadam, Adel Torkaman Rahmani

Proceedings of the ACM Symposium on Applied Computing, 2012