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Publications of Zahra Mirikharaji at Hamarneh Lab
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Zahra Mirikharaji.
Deep Learning for Skin Lesion Segmentation.
Doctoral Thesis,
School of Computing Science, Faculty of Applied Sciences, Simon Fraser University,
April 2022.
[bibtex-key = phd2022mirikharaji]
Articles in journal, book chapters
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Zahra Mirikharaji,
Kumar Abhishek,
Alceu Bissoto,
Catarina Barata,
Sandra Avila,
Eduardo Valle,
M. Emre Celebi,
and Ghassan Hamarneh.
A Survey on Deep Learning for Skin Lesion Segmentation (Mirikharaji and Abhishek: Joint first authors; Celebi and Hamarneh: Joint senior authors).
Medical Image Analysis (MedIA),
pp 1-55,
2023.
Keyword(s): Machine Learning,
Deep Learning,
Segmentation,
Survey/Review,
Dermatology.
[bibtex-key = media2023]
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Arafat Hussain,
Zahra Mirikharaji,
Mohammad Momeny,
Mahmoud Marhamati,
Ali Asghar Neshat,
Rafeef Garbi,
and Ghassan Hamarneh.
Active Deep Learning from a Noisy Teacher for Semi-supervised 3D Image Segmentation: Application to COVID-19 Pneumonia Infection in CT.
Computerized Medical Imaging and Graphics (CMIG),
102(102127):1-11,
2022.
Keyword(s): Segmentation,
Machine Learning,
Deep Learning,
COVID19,
SARS-CoV-2.
[bibtex-key = cmig2022]
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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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Saeedeh Afshari,
Aicha BenTaieb,
Zahra Mirikharaji,
and Ghassan Hamarneh.
Weakly Supervised Fully Convolutional Network for PET Lesion Segmentation.
In SPIE Medical Imaging,
volume 10949,
pages 1-7,
2019.
Keyword(s): Deep Learning,
Machine Learning,
Functional/Molecular/Dynamic Imaging,
Localization.
[bibtex-key = spiemi2019]
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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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Zahra Mirikharaji,
Yiqi Yan,
and Ghassan Hamarneh.
Learning to Segment Skin Lesions from Noisy Annotations.
In Medical Image Computing and Computer-Assisted Intervention Workshop on Medical Image Learning with Less Labels and Imperfect Data (MICCAI MIL3ID),
volume 11795,
pages 207-215,
2019.
Keyword(s): Machine Learning,
Deep Learning,
Segmentation,
Dermatology.
[bibtex-key = miccai_mil3id2019]
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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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Zahra Mirikharaji and Ghassan Hamarneh.
Star Shape Prior in Fully Convolutional Networks for Skin Lesion Segmentation.
In Lecture Notes in Computer Science, Medical Image Computing and Computer-Assisted Intervention (MICCAI),
volume 11073,
pages 737-745,
2018.
Keyword(s): Machine Learning,
Deep Learning,
Segmentation,
Dermatology,
Color/Multichannel/Vector-valued,
Shape Modelling and Analysis.
[bibtex-key = miccai2018a]
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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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Zahra Mirikharaji,
Mengliu Zhao,
and Ghassan Hamarneh.
Globally-Optimal Anatomical Tree Extraction from 3D Medical Images using Pictorial Structures and Minimal Paths.
In 2nd Annual Health Technology Symposium, Vancouver, Canada,
pages 1,
2017.
Keyword(s): Anatomical Trees and Tubular Structures,
Optimization,
Bifurcation/Junction.
[bibtex-key = healthtech2017e]
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Zahra Mirikharaji,
Mengliu Zhao,
and Ghassan Hamarneh.
Globally-Optimal Anatomical Tree Extraction from 3D Medical Images using Pictorial Structures and Minimal Paths (Mirikharaji and Zhao: Joint first authors).
In Lecture Notes in Computer Science, Medical Image Computing and Computer-Assisted Intervention (MICCAI),
volume 10434,
pages 242-250,
2017.
Keyword(s): Anatomical Trees and Tubular Structures,
Optimization,
Bifurcation/Junction.
[bibtex-key = miccai2017a]
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Zahra Mirikharaji,
Kumar Abhishek,
Alceu Bissoto,
Catarina Barata,
Sandra Avila,
Eduardo Valle,
M. Emre Celebi,
and Ghassan Hamarneh.
A Survey on Deep Learning for Skin Lesion Segmentation (Mirikharaji and Abhishek: Joint first authors; Celebi and Hamarneh: Joint senior authors).
Technical report arXiv:2206.00356,
6 2022.
Keyword(s): Machine Learning,
Deep Learning,
Segmentation,
Survey/Review,
Dermatology.
[bibtex-key = arxiv:2206.00356]
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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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Zahra Mirikharaji,
Yiqi Yan,
and Ghassan Hamarneh.
Learning to Segment Skin Lesions from Noisy Annotations.
Technical report arxiv:1906.03815,
6 2019.
Keyword(s): Machine Learning,
Deep Learning,
Segmentation.
[bibtex-key = arxiv:1906.03815]
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