Mohamad Koohi-Moghadam

Publication Activity (10 Years)

Years Active: 2012-2023
Publications (10 Years): 7

Top Topics

Tandem Mass Spectra

Machine Learning

Motif Discovery

Pruning Methods

Top Venues

Int. J. Medical Informatics

Nat. Mach. Intell.

Publications

Morteza Homayounfar, Mohamad Koohi-Moghadam, Reza Rawassizadeh, Varut Vardhanabhuti
Beta-Rank: A Robust Convolutional Filter Pruning Method For Imbalanced Medical Image Analysis. CoRR (2023)
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
Predicting oral cancer risk in patients with oral leukoplakia and oral lichenoid mucositis using machine learning. J. Big Data 10 (1) (2023)
Mohamad Koohi-Moghadam, Kyongtae Ty Bae
Generative AI in Medical Imaging: Applications, Challenges, and Ethics. J. Medical Syst. 47 (1) (2023)
John Adeoye, Liuling Hui, Mohamad Koohi-Moghadam, Jia Yan Tan, Siu-Wai Choi, Peter Thomson
Comparison of time-to-event machine learning models in predicting oral cavity cancer prognosis. Int. J. Medical Informatics 157 (2022)
Siyavash Shabani, Morteza Homayounfar, Varut Vardhanabhuti, Mohammad-Ali Nikouei Mahani, Mohamad Koohi-Moghadam
Self-supervised region-aware segmentation of COVID-19 CT images using 3D GAN and contrastive learning. Comput. Biol. Medicine 149 (2022)
Mohamad Koohi-Moghadam, Mitesh J. Borad, Nhan L. Tran, Kristin R. Swanson, Lisa Boardman, Hong-Zhe Su, Junwen Wang
MetaMarker: a pipeline for de novo discovery of novel metagenomic biomarkers. Bioinform. 35 (19) (2019)
Mohamad Koohi-Moghadam, Haibo Wang, Yuchuan Wang, Xinming Yang, Hongyan Li, Junwen Wang, Hongzhe Sun
Predicting disease-associated mutation of metal-binding sites in proteins using a deep learning approach. Nat. Mach. Intell. 1 (12) (2019)
Mohamad Koohi-Moghadam, Adel Torkaman Rahmani
Molecular docking with opposition-based differential evolution. SAC (2012)