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Publications of Saeed Izadi at Hamarneh Lab
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Saeed Izadi.
Deep Learning for Medical Image Restoration.
Doctoral Thesis,
School of Computing Science, Faculty of Applied Sciences, Simon Fraser University,
June 2022.
[bibtex-key = phd2022izadi]
Articles in journal, book chapters
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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]
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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]
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Saeed Izadi and Ghassan Hamarneh.
AECNN: Adversarial and Enhanced Convolutional Neural Networks (Chapter 7).
Computer-Aided Analysis of Gastrointestinal Videos,
pp 59-62,
2021.
ISBN: 978-3-030-64339-3.
Keyword(s): Segmentation,
Deep Learning,
Generative Adversarial Network,
Microscopy.
[bibtex-key = caagv2021]
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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]
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Zahra Mirikharaji,
Kumar Abhishek,
Saeed Izadi,
and Ghassan Hamarneh.
D-LEMA: Deep Learning Ensembles from Multiple Annotations.
In Biomedical Imaging and Artificial Intelligence (BMIAI) cluster Fall Research Showcase, Vancouver, Canada,
pages 1,
2021.
Keyword(s): Dermatology,
Color/Multichannel/Vector-valued,
Machine Learning,
Deep Learning,
Segmentation.
[bibtex-key = bmiai2021b]
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Zahra Mirikharaji,
Kumar Abhishek,
Saeed Izadi,
and Ghassan Hamarneh.
D-LEMA: Deep Learning Ensembles from Multiple Annotations - Application to Skin Lesion Segmentation.
In IEEE Computer Vision and Pattern Recognition (IEEE CVPR) ISIC Skin Image Analysis Workshop (CVPR ISIC),
pages 1837-1846,
2021.
Keyword(s): Dermatology,
Color/Multichannel/Vector-valued,
Machine Learning,
Deep Learning,
Segmentation.
[bibtex-key = cvpr_isic2021]
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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]
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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]
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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]
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Saeed Izadi,
Zahra Mirikharaji,
Jeremy Kawahara,
and Ghassan Hamarneh.
Generative Adversarial Networks to Segment Skin Lesions.
In IEEE International Symposium on Biomedical Imaging (IEEE ISBI),
pages 881-884,
2018.
Keyword(s): Machine Learning,
Dermatology,
Color/Multichannel/Vector-valued,
Deep Learning,
Generative Adversarial Network,
Segmentation.
[bibtex-key = isbi2018b]
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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]
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Zahra Mirikharaji,
Saeed Izadi,
Jeremy Kawahara,
and Ghassan Hamarneh.
Deep Auto-context Fully Convolutional Neural Network for Skin Lesion Segmentation.
In IEEE International Symposium on Biomedical Imaging (IEEE ISBI),
pages 877-880,
2018.
Keyword(s): Machine Learning,
Dermatology,
Color/Multichannel/Vector-valued,
Deep Learning,
Segmentation.
[bibtex-key = isbi2018a]
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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]
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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]
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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]
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Zahra Mirikharaji,
Kumar Abhishek,
Saeed Izadi,
and Ghassan Hamarneh.
D-LEMA: Deep Learning Ensembles from Multiple Annotations - Application to Skin Lesion Segmentation.
Technical report arXiv:2012.07206,
12 2020.
Keyword(s): Dermatology,
Machine Learning,
Deep Learning,
Segmentation.
[bibtex-key = arxiv:2012.07206]
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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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Last modified: Thu Aug 1 12:06:05 2024
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