1. Saeed Izadi, Isaac Shiri, Carlos Uribe, Parham Geramifar, Habib Zaidi, Arman Rahmim, and Ghassan Hamarneh. Enhanced Direct Joint Attenuation and Scatter Correction of Whole-Body PET Images via Context-Aware Deep Networks. Zeitschrift fuer Medizinische Physik, 000(000):000-000, 2024. Keyword(s): Enhancement/Restoration/Denoising, Deep Learning, Functional/Molecular/Dynamic Imaging. [bibtex-key = zmedphys2024]



2. Saeed Izadi, Darren Sutton, and Ghassan Hamarneh. Image Denoising in the Deep Learning Era. Artificial Intelligence Review, 000(000):1-46, 2022. Keyword(s): Enhancement/Restoration/Denoising, Machine Learning, Deep Learning, Survey/Review. [bibtex-key = aire2022]

1. Tanya Gatsak, Kumar Abhishek, Hanene Ben Yedder, Saeid Asgari Taghanaki, and Ghassan Hamarneh. PET-Disentangler: PET Lesion Segmentation via Disentangled Healthy and Disease Feature Representations. In The Society of Nuclear Medicine and Molecular Imaging (SNMMI) Annual Meeting, pages 1, 2024. Keyword(s): Enhancement/Restoration/Denoising, Deep Learning, Functional/Molecular/Dynamic Imaging, Segmentation. [bibtex-key = snmmi2024]



2. Saeed Izadi, Isaac Shiri, Carlos Uribe, Parham Geramifar, Habib Zaidi, Arman Rahmim, and Ghassan Hamarneh. Context-Aware Filtering for Direct Joint Attenuation and Scatter Correction of Whole-Body PET Images. In The Society of Nuclear Medicine and Molecular Imaging (SNMMI) Annual Meeting, pages 1, 2022. Keyword(s): Enhancement/Restoration/Denoising, Deep Learning, Functional/Molecular/Dynamic Imaging. [bibtex-key = snmmi2022]



3. Saeed Izadi and Ghassan Hamarneh. Patch-based Non-Local Bayesian Networks for Blind Confocal Microscopy Denoising. In Lecture Notes in Computer Science, Medical Image Computing and Computer-Assisted Intervention (MICCAI), volume 12265, pages 46–55, 2020. Keyword(s): Microscopy, Enhancement/Restoration/Denoising, Machine Learning, Deep Learning. [bibtex-key = miccai2020]



4. Saeed Izadi, Zahra Mirikharaji, Mengliu Zhao, and Ghassan Hamarneh. WhiteNNer - Blind Image Denoising via Noise Whiteness Priors. In International Conference on Computer Vision workshop on Visual Recognition for Medical Images (ICCV VRMI), pages 476-484, 2019. Keyword(s): Microscopy, Enhancement/Restoration/Denoising, Machine Learning, Deep Learning. [bibtex-key = iccv_vrmi2019b]



5. Saeed Izadi, Darren Sutton, and Ghassan Hamarneh. Image Super Resolution via Bilinear Pooling: Application to Confocal Endomicroscopy. In Medical Image Computing and Computer-Assisted Intervention Workshop on Machine Learning for Medical Image Reconstruction (MICCAI MLMIR), volume 11905, pages 236-244, 2019. Keyword(s): Microscopy, Super Resolution, Enhancement/Restoration/Denoising, Machine Learning, Deep Learning. [bibtex-key = miccai_mlmir2019]



6. Saeed Izadi, Kathleen Moriarty, and Ghassan Hamarneh. Can Deep Learning Relax Endomicroscopy Hardware Miniaturization Requirements?. In Lecture Notes in Computer Science, Medical Image Computing and Computer-Assisted Intervention (MICCAI), volume 11070, pages 57-64, 2018. Keyword(s): Microscopy, Super Resolution, Enhancement/Restoration/Denoising, Machine Learning, Deep Learning. [bibtex-key = miccai2018c]

1. Saeed Izadi, Isaac Shiri, Carlos Uribe, Parham Geramifar, Habib Zaidi, Arman Rahmim, and Ghassan Hamarneh. Enhanced Direct Joint Attenuation and Scatter Correction of Whole-Body PET Images via Context-Aware Deep Networks. Technical report medRxiv 2022.05.26.22275662, May 2022. Keyword(s): Enhancement/Restoration/Denoising, Deep Learning, Functional/Molecular/Dynamic Imaging. [bibtex-key = medrxiv2022_20220526]



2. Saeed Izadi, Darren Sutton, and Ghassan Hamarneh. Image Denoising in the Deep Learning Era. Technical report Research Square (Preprint) 1806416, 6 2022. Keyword(s): Deep Learning, Enhancement/Restoration/Denoising, Survey/Review. [bibtex-key = research_square2022_1806416]



3. Saeed Izadi and Ghassan Hamarneh. Patch-based Non-Local Bayesian Networks for Blind Confocal Microscopy Denoising. Technical report arxiv:2003.11177, 3 2020. Keyword(s): Microscopy, Enhancement/Restoration/Denoising, Machine Learning, Deep Learning. [bibtex-key = arxiv:2003.11177]



4. Saeed Izadi, Darren Sutton, and Ghassan Hamarneh. Image Super Resolution via Bilinear Pooling: Application to Confocal Endomicroscopy. Technical report arxiv:1906.07802, 6 2019. Keyword(s): Microscopy, Super Resolution, Enhancement/Restoration/Denoising, Machine Learning, Deep Learning. [bibtex-key = arxiv:1906.07802]

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