Mohamad Koohi-Moghadam

13 papers Misc 1Journal 11Unranked 1

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	ChemCLIP: Bridging Organic and Inorganic Anticancer Compounds Through Contrastive Learning. CoRR Mohamad Koohi-Moghadam, Hongzhe Sun, Hongyan Li, Kyongtae Ty Bae
2026	J	`jnl`	PathoGen: Diffusion-Based Synthesis of Realistic Lesions in Histopathology Images. CoRR Mohamad Koohi-Moghadam, Mohammad-Ali Nikouei Mahani, Kyongtae Ty Bae
2025	J	`jnl`	Enhancing Out-of-Distribution Detection in Medical Imaging with Normalizing Flows. CoRR Dariush Lotfi, Mohammad-Ali Nikouei Mahani, Mohamad Koohi-Moghadam, Kyongtae Ty Bae
2025	—	`conf`	MixStyleFlow: Domain Generalization in Medical Image Segmentation Using Normalizing Flows. MICCAI (3) Reza Safdari, Mohammad-Ali Nikouei Mahani, Mohamad Koohi-Moghadam, Kyongtae Ty Bae
2024	J	`jnl`	AutoPET III Challenge: PET/CT Semantic Segmentation. CoRR Reza Safdari, Mohamad Koohi-Moghadam, Kyongtae T. Bae
2023	J	`jnl`	Beta-Rank: A Robust Convolutional Filter Pruning Method For Imbalanced Medical Image Analysis. CoRR Morteza Homayounfar, Mohamad Koohi-Moghadam, Reza Rawassizadeh, Varut Vardhanabhuti
2023	J	`jnl`	Generative AI in Medical Imaging: Applications, Challenges, and Ethics. J. Medical Syst. Mohamad Koohi-Moghadam, Kyongtae Ty Bae
2023	J	`jnl`	Predicting oral cancer risk in patients with oral leukoplakia and oral lichenoid mucositis using machine learning. J. Big Data John Adeoye, Mohamad Koohi-Moghadam, Siu-Wai Choi, Liwu Zheng, Anthony Wing Ip Lo, Raymond King-Yin Tsang, Velda Ling Yu Chow, Abdulwarith Akinshipo, Peter Thomson, Yu-Xiong Su
2022	J	`jnl`	Comparison of time-to-event machine learning models in predicting oral cavity cancer prognosis. Int. J. Medical Informatics John Adeoye, Liuling Hui, Mohamad Koohi-Moghadam, Jia Yan Tan, Siu-Wai Choi, Peter Thomson
2022	J	`jnl`	Self-supervised region-aware segmentation of COVID-19 CT images using 3D GAN and contrastive learning. Comput. Biol. Medicine Siyavash Shabani, Morteza Homayounfar, Varut Vardhanabhuti, Mohammad-Ali Nikouei Mahani, Mohamad Koohi-Moghadam
2019	J	`jnl`	MetaMarker: a pipeline for de novo discovery of novel metagenomic biomarkers. Bioinform. Mohamad Koohi-Moghadam, Mitesh J. Borad, Nhan L. Tran, Kristin R. Swanson, Lisa Boardman, Hong-Zhe Su, Junwen Wang
2019	J	`jnl`	Predicting disease-associated mutation of metal-binding sites in proteins using a deep learning approach. Nat. Mach. Intell. Mohamad Koohi-Moghadam, Haibo Wang, Yuchuan Wang, Xinming Yang, Hongyan Li, Junwen Wang, Hongzhe Sun
2012	Misc	`conf`	Molecular docking with opposition-based differential evolution. SAC Mohamad Koohi-Moghadam, Adel Torkaman Rahmani