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Publications of Aicha BenTaieb at Hamarneh Lab
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Aicha BenTaieb.
Analyzing Cancers in Digitized Histopathology Images.
Doctoral Thesis,
School of Computing Science, Faculty of Applied Sciences, Simon Fraser University,
September 2018.
[bibtex-key = phd2018bentaieb]
Articles in journal, book chapters
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Saeedeh Afshari,
Aicha BenTaieb,
and Ghassan Hamarneh.
Automatic Localization of Normal Active Organs in 3D PET Scans.
Computerized Medical Imaging and Graphics (CMIG),
70:111-118,
2018.
Keyword(s): Deep Learning,
Machine Learning,
Functional/Molecular/Dynamic Imaging,
Localization.
[bibtex-key = cmig2018c]
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Aicha BenTaieb and Ghassan Hamarneh.
Adversarial Stain Transfer for Histopathology Image Analysis.
IEEE Transactions on Medical Imaging (IEEE TMI),
37(3):792-802,
2018.
Keyword(s): Color/Multichannel/Vector-valued,
Machine Learning,
Microscopy,
Deep Learning,
Generative Adversarial Network.
[bibtex-key = tmi2018]
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Aicha BenTaieb,
Hector Li-Chang,
David Huntsman,
and Ghassan Hamarneh.
A Structured Latent Model for Ovarian Carcinoma Subtyping from Histopathology Slides.
Medical Image Analysis (MedIA),
39:194-205,
2017.
Keyword(s): Color/Multichannel/Vector-valued,
Machine Learning,
Microscopy,
Deep Learning,
Datasets.
[bibtex-key = media2017]
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Aicha BenTaieb,
Masoud Nosrati,
Hector Li-Chang,
David Huntsman,
and Ghassan Hamarneh.
Clinically-Inspired Automatic Classification of Ovarian Carcinoma Subtypes.
Journal of Pathology Informatics,
7(1):1-28,
2016.
Keyword(s): Color/Multichannel/Vector-valued,
Machine Learning,
Microscopy.
[bibtex-key = jpi2016]
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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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Saeid Asgari Taghanaki,
Aicha BenTaieb,
Anmol Sharma,
S. Kevin Zhou,
Yefeng Zheng,
Bogdan Georgescu,
Puneet Sharma,
Daguang Xu,
Dorin Comaniciu,
and Ghassan Hamarneh.
SAT: Select, Attend, and Transfer: Light, Learnable Skip Connections.
In Medical Image Computing and Computer-Assisted Intervention Workshop on Machine Learning in Medical Imaging (MICCAI MLMI),
volume 11861,
pages 417-425,
2019.
Keyword(s): Machine Learning,
Deep Learning,
Segmentation.
[bibtex-key = miccai_mlmi2019b]
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Aicha BenTaieb and Ghassan Hamarneh.
Predicting Cancer with a Recurrent Visual Attention Model for Histopathology Images.
In Lecture Notes in Computer Science, Medical Image Computing and Computer-Assisted Intervention (MICCAI),
volume 11071,
pages 129-137,
2018.
Keyword(s): Color/Multichannel/Vector-valued,
Machine Learning,
Microscopy,
Deep Learning.
[bibtex-key = miccai2018b]
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Hanene Ben Yedder,
Aicha BenTaieb,
Majid Shokoufi,
Amir Zahiremami,
Farid Golnaraghi,
and Ghassan Hamarneh.
Deep Learning based Image Reconstruction for Diffuse Optical Tomography.
In Medical Image Computing and Computer-Assisted Intervention Workshop on Machine Learning for Medical Image Reconstruction (MICCAI MLMIR),
volume 11074,
pages 112-119,
2018.
Keyword(s): Image Reconstruction,
Diffuse Optical Tomography,
Machine Learning,
Deep Learning.
[bibtex-key = miccai_mlmir2018]
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Aicha BenTaieb and Ghassan Hamarneh.
Artificial Pathologists: Machine Learning Models for Histopathology.
In Annual SFU Health Research Day - Women's Health Research Symposium,
2017.
Keyword(s): Color/Multichannel/Vector-valued,
Machine Learning,
Microscopy,
Deep Learning.
[bibtex-key = sfu_health2017]
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Aicha BenTaieb and Ghassan Hamarneh.
Topology Aware Fully Convolutional Networks For Histology Gland Segmentation.
In 2nd Annual Health Technology Symposium, Vancouver, Canada,
pages 1,
2017.
Keyword(s): Color/Multichannel/Vector-valued,
Machine Learning,
Microscopy,
Deep Learning.
[bibtex-key = healthtech2017a]
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Aicha BenTaieb and Ghassan Hamarneh.
Uncertainty Driven Multi-Loss Fully Convolutional Networks for Histopathology.
In Medical Image Computing and Computer-Assisted Intervention Workshop on Large-scale Annotation of Biomedical data and Expert Label Synthesis (MICCAI LABELS),
volume 10552,
pages 155-163,
2017.
Keyword(s): Color/Multichannel/Vector-valued,
Machine Learning,
Microscopy,
Deep Learning.
[bibtex-key = miccai_labels2017a]
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Aicha BenTaieb and Ghassan Hamarneh.
Topology Aware Fully Convolutional Networks For Histology Gland Segmentation.
In Lecture Notes in Computer Science, Medical Image Computing and Computer-Assisted Intervention (MICCAI),
volume 9900,
pages 460-468,
2016.
Keyword(s): Color/Multichannel/Vector-valued,
Machine Learning,
Microscopy,
Deep Learning.
[bibtex-key = miccai2016a]
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Aicha BenTaieb,
Jeremy Kawahara,
and Ghassan Hamarneh.
Multi-Loss Convolutional Networks for Gland Analysis in Microscopy.
In IEEE International Symposium on Biomedical Imaging (IEEE ISBI),
pages 642-645,
2016.
Keyword(s): Machine Learning,
Microscopy,
Deep Learning.
[bibtex-key = isbi2016a]
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Jeremy Kawahara,
Aicha BenTaieb,
and Ghassan Hamarneh.
Deep Features to Classify Skin Lesions.
In IEEE International Symposium on Biomedical Imaging (IEEE ISBI),
pages 1397-1400,
2016.
Keyword(s): Machine Learning,
Dermatology,
Deep Learning.
[bibtex-key = isbi2016b]
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Aicha BenTaieb,
Hector Li-Chang,
David Huntsman,
and Ghassan Hamarneh.
Automatic Diagnosis of Ovarian Carcinomas via Sparse Multiresolution Tissue Representation.
In Lecture Notes in Computer Science, Medical Image Computing and Computer-Assisted Intervention (MICCAI),
volume 9349,
pages 629-636,
2015.
Keyword(s): Machine Learning,
Microscopy,
Deep Learning.
[bibtex-key = miccai2015b]
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Aicha BenTaieb and Ghassan Hamarneh.
Deep Learning Models for Digital Pathology.
Technical report arxiv:1910.12329,
10 2019.
Keyword(s): Color/Multichannel/Vector-valued,
Machine Learning,
Microscopy,
Deep Learning,
Generative Adversarial Network,
Survey/Review.
[bibtex-key = arxiv:1910.12329]
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Saeid Asgari Taghanaki,
Aicha BenTaieb,
Anmol Sharma,
S. Kevin Zhou,
Yefeng Zheng,
Bogdan Georgescu,
Puneet Sharma,
Sasa Grbic,
Zhoubing Xu,
Dorin Comaniciu,
and Ghassan Hamarneh.
Select, Attend, and Transfer: Light, Learnable Skip Connections.
Technical report arxiv:1703.04559,
4 2018.
Keyword(s): Machine Learning,
Deep Learning,
Segmentation.
[bibtex-key = arxiv:1804.05181]
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Last modified: Thu Aug 1 12:06:05 2024
Author: hamarneh.
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