Molecular docking with opposition-based differential evolution. - Mohamad Koohi-Moghadam; Adel Torkaman Rahmani (SAC, 2012)

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)

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)

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)

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)

Beta-Rank: A Robust Convolutional Filter Pruning Method For Imbalanced Medical Image Analysis. - Morteza Homayounfar; Mohamad Koohi-Moghadam; Reza Rawassizadeh; Varut Vardhanabhuti (CoRR, 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)

Generative AI in Medical Imaging: Applications, Challenges, and Ethics. - Mohamad Koohi-Moghadam; Kyongtae Ty Bae (J. Medical Syst., 2023)

AutoPET III Challenge: PET/CT Semantic Segmentation. - Reza Safdari; Mohamad Koohi-Moghadam; Kyongtae T. Bae (CoRR, 2024)

Enhancing Out-of-Distribution Detection in Medical Imaging with Normalizing Flows. - Dariush Lotfi; Mohammad-Ali Nikouei Mahani; Mohamad Koohi-Moghadam; Kyongtae Ty Bae (CoRR, 2025)