1. Li Wang, Yinghuan Shi, Heung-Il Suk, Alison Noble, and Ghassan Hamarneh, editors. Special Issue on Machine Learning in Medical Imaging (MLMI), volume 74. 2019.

1. Saeedeh Afshari. Deep Learning for Quantitative Image Analysis of Positron Emission Tomography. Master's Thesis, School of Computing Science, Faculty of Applied Sciences, Simon Fraser University, March 2019.



2. Jeremy Kawahara. Diagnosing Skin Lesions from Images with Convolutional Neural Networks. Doctoral Thesis, School of Computing Science, Faculty of Applied Sciences, Simon Fraser University, May 2019.



3. Ismail Khater. Machine Learning and Network Analysis for Macromolecular Structure Determination from Super-resolution Microscopy. Doctoral Thesis, School of Computing Science, Faculty of Applied Sciences, Simon Fraser University, September 2019.



4. Anmol Sharma. Missing MRI Pulse Sequence Synthesis using Multi-Modal Generative Adversarial Network. Master's Thesis, School of Computing Science, Faculty of Applied Sciences, Simon Fraser University, August 2019.



5. Saeid Asgari Taghanaki. Improved Deep Semantic Medical Image Segmentation. Doctoral Thesis, School of Computing Science, Faculty of Applied Sciences, Simon Fraser University, November 2019.

1. Saurabh Garg, Ghassan Hamarneh, Allard Jongman, Joan Sereno, and Yue Wang. Computer-vision analysis reveals facial movements made during Mandarin tone production align with pitch trajectories. Speech Communications, 113:47-62, 2019. Keyword(s): Segmentation, Tracking, Color/Multichannel/Vector-valued, Speech and Language, Facial Analysis, Spatio-Temporal.



2. Jeremy Kawahara, Sara Daneshvar, Giuseppe Argenziano, and Ghassan Hamarneh. Seven-Point Checklist and Skin Lesion Classification using Multi-Task Multi-Modal Neural Net. IEEE Journal of Biomedical and Health Informatics (IEEE JBHI) (Special Issue on Skin Lesion Image Analysis for Melanoma Detection), 23(2):538-546, 2019. Keyword(s): Color/Multichannel/Vector-valued, Deep Learning, Dermatology, Classification, Multimodal, Datasets.



3. Jeremy Kawahara and Ghassan Hamarneh. Fully Convolutional Neural Networks to Detect Clinical Dermoscopic Features. IEEE Journal of Biomedical and Health Informatics (IEEE JBHI) (Special Issue on Skin Lesion Image Analysis for Melanoma Detection), 23(2):578-585, 2019. Keyword(s): Color/Multichannel/Vector-valued, Deep Learning, Dermatology, Classification, Segmentation.



4. Ismail M. Khater, Stephane Aroca-Ouellette, Fanrui Meng, Ivan Robert Nabi, and Ghassan Hamarneh. Caveolae and scaffold detection from single molecule localization microscopy data using deep learning. PLOS ONE, 14(8):1-17, 2019. Keyword(s): Super Resolution Microscopy, Single Molecule Localization Microscopy, Network Modelling and Analysis, Deep Learning, Machine Learning, Classification, Graph based, Biomarkers/Biosignatures.



5. Ismail M. Khater, Qian Liu, Keng C. Chou, Ghassan Hamarneh, and Ivan Robert Nabi. Super-resolution modularity analysis shows polyhedral caveolin-1 oligomers combine to form scaffolds and caveolae. Nature - Scientific reports, 9(9888):1-10, 2019. Keyword(s): Super Resolution Microscopy, Single Molecule Localization Microscopy, Network Modelling and Analysis, Machine Learning.



6. Ismail M. Khater, Fanrui Meng, Ivan Robert Nabi, and Ghassan Hamarneh. Identification of Caveolin-1 Domain Signatures via Graphlet Analysis of Single Molecule Super-Resolution Data. Bioinformatics, 35(18):3468-3475, 2019. Keyword(s): Super Resolution Microscopy, Single Molecule Localization Microscopy, Network Modelling and Analysis, Machine Learning, Graphlets, Graph based, Biomarkers/Biosignatures.



7. Anmol Sharma and Ghassan Hamarneh. Missing MRI Pulse Sequence Synthesis using Multi-Modal Generative Adversarial Network. IEEE Transactions on Medical Imaging (IEEE TMI), 39(4):1170-1183, 2019. Keyword(s): Machine Learning, Deep Learning, Generative Adversarial Network, Synthesis/Simulation/Augmentation, Multimodal.



8. Saeid Asgari Taghanaki, Yefeng Zheng, S. Kevin Zhou, Bogdan Georgescu, Puneet Sharma, Daguang Xu, Dorin Comaniciu, and Ghassan Hamarneh. Combo Loss: Handling Input and Output Imbalance in Multi-Organ Segmentation. Computerized Medical Imaging and Graphics (CMIG), 75:24-33, 2019. Keyword(s): Machine Learning, Deep Learning, Segmentation.

1. Kumar Abhishek and Ghassan Hamarneh. Mask2Lesion: Mask-Constrained Adversarial Skin Lesion Image Synthesis. In Medical Image Computing and Computer-Assisted Intervention Workshop on Simulation and Synthesis in Medical Imaging (MICCAI SASHIMI), volume 11827, pages 71-80, 2019. Keyword(s): Machine Learning, Deep Learning, Segmentation, Generative Adversarial Network, Dermatology, Synthesis/Simulation/Augmentation.



2. 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.



3. Ben Cardoen, Fiona Dickson, Ismail M. Khater, Ivan Robert Nabi, and Ghassan Hamarneh. Interaction zone analysis of CAV1 - CAVIN1 in breast cancer cells. In European Molecular Biology Organization EMBO Workshop Caveolae and nanodomains: Translating structural principles and dynamics into function, Le Pouliguen, France, pages 1, 2019. Keyword(s): Super Resolution Microscopy, Single Molecule Localization Microscopy, Machine Learning.



4. Arafat Hussain, Ghassan Hamarneh, and Rafeef Abugharbieh. ImHistNet: Learnable Image Histogram Based DNN with Application to Noninvasive Determination of Carcinoma Grades in CT Scans. In Lecture Notes in Computer Science, Medical Image Computing and Computer-Assisted Intervention (MICCAI), volume 11769, pages 130-138, 2019. Keyword(s): Classification, Machine Learning, Deep Learning.



5. Arafat Hussain, Ghassan Hamarneh, and Rafeef Abugharbieh. Renal Cell Carcinoma Staging with Learnable Image Histogram-based Deep Neural Network. In Medical Image Computing and Computer-Assisted Intervention Workshop on Machine Learning in Medical Imaging (MICCAI MLMI), volume 11861, pages 533-540, 2019. Keyword(s): Machine Learning, Deep Learning, Classification.



6. 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.



7. 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.



8. Weina Jin, Sheelagh Carpendale, Ghassan Hamarneh, and Diane Gromala. Bridging AI Developers and End Users: an End-User-Centred Explainable AI Taxonomy and Visual Vocabularies. In IEEE Visualization (IEEE Vis), 2019. Keyword(s): Explainable AI (XAI), Deep Learning, User Interaction, Visualization.



9. Ismail M. Khater, Ivan Robert Nabi, and Ghassan Hamarneh. Identification of Cav1 Domains Using Super Resolution Microscopy and Machine Learning. In European Molecular Biology Organization EMBO Workshop Caveolae and nanodomains: Translating structural principles and dynamics into function, Le Pouliguen, France, pages 1, 2019. Keyword(s): Super Resolution Microscopy, Single Molecule Localization Microscopy, Network Modelling and Analysis, Machine Learning.



10. 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.



11. Saeid Asgari Taghanaki, Kumar Abhishek, Shekoofeh Azizi, and Ghassan Hamarneh. A Kernelized Manifold Mapping to Diminish the Effect of Adversarial Perturbations. In IEEE Computer Vision and Pattern Recognition (IEEE CVPR), pages 11332-11341, 2019. Keyword(s): Machine Learning, Deep Learning, Segmentation, Classification.



12. Saeid Asgari Taghanaki, Kumar Abhishek, and Ghassan Hamarneh. Improved Inference via Deep Input Transfer. In Lecture Notes in Computer Science, Medical Image Computing and Computer-Assisted Intervention (MICCAI), volume 11769, pages 819-827, 2019. Keyword(s): Segmentation, Machine Learning, Deep Learning.



13. 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.



14. Saeid Asgari Taghanaki, Mohammad Havaei, Tess Berthier, Francis Dutil, Lisa Di Jorio, Ghassan Hamarneh, and Yoshua Bengio. InfoMask: Masked Variational Latent Representation to Localize Chest Disease. In Lecture Notes in Computer Science, Medical Image Computing and Computer-Assisted Intervention (MICCAI), volume 11769, pages 739-747, 2019. Keyword(s): Classification, Machine Learning, Deep Learning.



15. Timothy H. Wong, Mona Shahsavari, Ismail M. Khater, Bharat Joshi, Ghassan Hamarneh, and Ivan Robert Nabi. Super Resolution Microscopy Identification of Focal Adhesion-Associated Caveolin-1 Domains (Wong and Shahsavari: Joint first authors). In European Molecular Biology Organization EMBO Workshop Caveolae and nanodomains: Translating structural principles and dynamics into function, Le Pouliguen, France, pages 1, 2019. Keyword(s): Super Resolution Microscopy, Single Molecule Localization Microscopy, Network Modelling and Analysis.



16. Yiqi Yan, Jeremy Kawahara, and Ghassan Hamarneh. Melanoma Recognition via Visual Attention. In Information Processing in Medical Imaging (IPMI), volume 11492, pages 793–804, 2019. Keyword(s): Machine Learning, Deep Learning, Segmentation, Dermatology.



17. Hanene Ben Yedder, Ben Cardoen, Majid Shokoufi, Farid Golnaraghi, and Ghassan Hamarneh. Limited-Angle Diffuse Optical Tomography Image Reconstruction using Deep Learning. In Lecture Notes in Computer Science, Medical Image Computing and Computer-Assisted Intervention (MICCAI), volume 11764, pages 66-74, 2019. Keyword(s): Image Reconstruction, Machine Learning, Deep Learning, Diffuse Optical Tomography.



18. Chris Yoon, Ghassan Hamarneh, and Rafeef Abugharbieh. Generalizable Feature Learning in the Presence of Data Bias and Domain Class Imbalance with Application to Skin Lesion Classification. In Lecture Notes in Computer Science, Medical Image Computing and Computer-Assisted Intervention (MICCAI), volume 11767, pages 365-373, 2019. Keyword(s): Classification, Dermatology, Machine Learning, Deep Learning.



19. Mengliu Zhao and Ghassan Hamarneh. Retinal Image Classification via Vasculature-guided Sequential Attention. In International Conference on Computer Vision workshop on Visual Recognition for Medical Images (ICCV VRMI), pages 381-387, 2019. Keyword(s): Anatomical Trees and Tubular Structures, Classification, Shape Modelling and Analysis, Machine Learning, Deep Learning.



20. Mengliu Zhao and Ghassan Hamarneh. Tree-LSTM: Using LSTM to Encode Memory in Anatomical Tree Prediction from 3D Images. In Medical Image Computing and Computer-Assisted Intervention Workshop on Machine Learning in Medical Imaging (MICCAI MLMI), volume 11861, pages 637-645, 2019. Keyword(s): Machine Learning, Deep Learning, Segmentation, Anatomical Trees and Tubular Structures, Shape Modelling and Analysis, Bifurcation/Junction.

1. Kumar Abhishek and Ghassan Hamarneh. Mask2Lesion: Mask-Constrained Adversarial Skin Lesion Image Synthesis. Technical report arxiv:1906.05845, 6 2019. Keyword(s): Machine Learning, Deep Learning, Segmentation.



2. Shahab Aslani, Vittorio Murino, Michael Dayan, Roger Tam, Diego Sona, and Ghassan Hamarneh. Scanner Invariant Multiple Sclerosis Lesion Segmentation from MRI. Technical report arxiv:1910.10035, 10 2019. Keyword(s): Segmentation, Machine Learning, Deep Learning, Multiple Sclerosis, MRI.



3. 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.



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.



5. Weina Jin, Mostafa Fatehi, Kumar Abhishek, Mayur Mallya, Brian Toyota, and Ghassan Hamarneh. Artificial Intelligence in Glioma Imaging: Challenges and Advances. Technical report arxiv:1911.12886, 11 2019. Keyword(s): Glioma Imaging, Machine Learning, Deep Learning.



6. Jeremy Kawahara and Ghassan Hamarneh. Visual Diagnosis of Dermatological Disorders: Human and Machine Performance. Technical report arxiv:1906.01256, 6 2019. Keyword(s): Survey/Review, Color/Multichannel/Vector-valued, Machine Learning, Deep Learning, Dermatology, Classification.



7. Ismail M. Khater, Stephane Aroca-Ouellette, Fanrui Meng, Ivan Robert Nabi, and Ghassan Hamarneh. Caveolae and scaffold detection from single molecule localization microscopy data using deep learning. Technical report biorxiv:495382, 1 2019. Keyword(s): Super Resolution Microscopy, Single Molecule Localization Microscopy, Machine Learning, Deep Learning, Network Modelling and Analysis, Machine Learning.



8. 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.



9. Anmol Sharma and Ghassan Hamarneh. Missing MRI Pulse Sequence Synthesis using Multi-Modal Generative Adversarial Network. Technical report arxiv:1904.12200, 4 2019. Keyword(s): Glioma Imaging, Machine Learning, Deep Learning, Generative Adversarial Network, Multimodal.



10. Saeid Asgari Taghanaki, Kumar Abhishek, Joseph Paul Cohen, Julien Cohen-Adad, and Ghassan Hamarneh. Deep Semantic Segmentation of Natural and Medical Images: A Review. Technical report arxiv:1910.07655, 10 2019. Keyword(s): Survey/Review, Segmentation, Machine Learning, Deep Learning.



11. Saeid Asgari Taghanaki, Kumar Abhishek, and Ghassan Hamarneh. Improved Inference via Deep Input Transfer. Technical report arxiv:1904.02307, 4 2019. Keyword(s): Machine Learning, Deep Learning.



12. Saeid Asgari Taghanaki, Kumar Abhishek, and Ghassan Hamarneh. Signed Input Regularization. Technical report arxiv:1911.07086, 12 2019. Keyword(s): Machine Learning, Deep Learning.



13. Saeid Asgari Taghanaki, Mohammad Havaei, Tess Berthier, Francis Dutil, Lisa Di Jorio, Ghassan Hamarneh, and Yoshua Bengio. InfoMask: Masked Variational Latent Representation to Localize Chest Disease. Technical report arxiv:1903.11741, 3 2019. Keyword(s): Machine Learning, Deep Learning.

This material is presented to ensure timely dissemination of scholarly and technical work. Copyright and all rights therein are retained by authors or by other copyright holders. All person copying this information are expected to adhere to the terms and constraints invoked by each author's copyright. In most cases, these works may not be reposted without the explicit permission of the copyright holder.

This document was translated from BibT_EX by bibtex2html