1. Mayur Mallya. Multimodal Guidance for Medical Image Classification. Master's Thesis, School of Computing Science, Faculty of Applied Sciences, Simon Fraser University, August 2022. [bibtex-key = msc2022mallya]



2. Hengameh Mirzaalian. Computational Techniques for Skin Lesion Tracking And Classification. Doctoral Thesis, School of Computing Science, Faculty of Applied Sciences, Simon Fraser University, November 2014. [bibtex-key = phd2014mirzaalian]

1. Kumar Abhishek, Colin J. Brown, and Ghassan Hamarneh. Multi-Sample $\zeta$-mixup: Richer, More Realistic Synthetic Samples from a $p$-Series Interpolant. Journal of Big Data, 11(43):1-41, 3 2024. Keyword(s): Machine Learning, Deep Learning, Synthesis/Simulation/Augmentation, Classification, Dermatology. [bibtex-key = jbd2024]



2. Nourhan Bayasi, Ghassan Hamarneh, and Rafeef Garbi. GC2: Generalizable Continual Classification of Medical Images. IEEE Transactions on Medical Imaging (IEEE TMI), 000(000):000-000, 2024. Keyword(s): Dermatology, Color/Multichannel/Vector-valued, Machine Learning, Deep Learning, Continual Learning, Domain Generalization. [bibtex-key = tmi2024]



3. Ben Cardoen, Timothy H. Wong, Parsa Alan, Sieun Lee, Joanne Aiko Matsubara, Ivan Robert Nabi, and Ghassan Hamarneh. SPECHT: Self-tuning Plausibility Based Object Detection Enables Quantification of Conflict in Heterogeneous Multi-scale Microscopy (Nabi and Hamarneh: Joint senior authors). PLOS ONE, 17(12):e0276726, 2022. Keyword(s): Super Resolution Microscopy, Machine Learning, Classification, Belief Theory, Biomarkers/Biosignatures, Generalizability. [bibtex-key = plosone2022]



4. Arafat Hussain, Ghassan Hamarneh, and Rafeef Garbi. Learnable Image Histograms-based Deep Radiomics for Renal Cell Carcinoma Grading and Staging. Computerized Medical Imaging and Graphics (CMIG), 90(101924):1-10, 2021. Keyword(s): Classification, Machine Learning, Deep Learning. [bibtex-key = cmig2021]



5. Mohammad Momeny, Ali Asghar Neshat, Arafat Hussain, Solmaz Kia, Mahmoud Marhamati, Ahmad Jahanbakhshi, and Ghassan Hamarneh. Learning-to-Augment Strategy using Noisy and Denoised Data: Improving Generalizability of Deep CNN for the Detection of COVID-19 in X-ray Images. Computers in Biology and Medicine (CIBM), 136:104704, 2021. Keyword(s): Deep Learning, Classification, Augmentation, COVID19, SARS-CoV-2. [bibtex-key = cibm2021]



6. Ismail M. Khater, Ivan Robert Nabi, and Ghassan Hamarneh. A Review of Super-resolution Single Molecule Localization Microscopy Cluster Analysis and Quantification Methods. Cell Patterns, 1(3):2666-3899, 2020. Keyword(s): Super Resolution Microscopy, Single Molecule Localization Microscopy, Network Modelling and Analysis, Deep Learning, Machine Learning, Classification, Graph based, Biomarkers/Biosignatures, Survey/Review. [bibtex-key = cellpatterns2020]



7. 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. [bibtex-key = jbhi2019a]



8. 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. [bibtex-key = jbhi2019b]



9. 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. [bibtex-key = plosone2019]



10. Saeid Asgari Taghanaki, Jeremy Kawahara, Brandon Miles, and Ghassan Hamarneh. Pareto-Optimal Multi-objective Dimensionality Reduction Deep Auto-Encoder for Mammography Classification. Computer Methods and Programs in Biomedicine, 145:85-93, 2017. Keyword(s): Machine Learning, Deep Learning, Optimization. [bibtex-key = cmpb2017]



11. 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]

1. Nourhan Bayasi, Ghassan Hamarneh, and Rafeef Garbi. Continual-Zoo: Leveraging Zoo Models for Continual Classification of Medical Images. In IEEE Computer Vision and Pattern Recognition (IEEE CVPR) Workshop on Continual Learning (CLVision), pages 000-000, 2024. Keyword(s): Dermatology, Color/Multichannel/Vector-valued, Machine Learning, Deep Learning, Continual Learning, Domain Generalization. [bibtex-key = cvpr_clvision2024]



2. Nourhan Bayasi, Fayyad Jamil, Alceu Bissoto, Ghassan Hamarneh, and Rafeef Garbi. BiasPruner: Debiased Continual Learning for Medical Image Classification. In Lecture Notes in Computer Science, Medical Image Computing and Computer-Assisted Intervention (MICCAI), volume 000, pages 000-000, 2024. Keyword(s): Classification, Dermatology, Machine Learning, Deep Learning, Continual Learning, AI Bias and Fairness. [bibtex-key = miccai2024a]



3. Nourhan Bayasi, Siyi Du, Ghassan Hamarneh, and Rafeef Garbi. Continual-GEN: Continual Group Ensembling for Domain-agnostic Skin Lesion Classification. In Medical Image Computing and Computer-Assisted Intervention (MICCAI) ISIC Skin Image Analysis Workshop (MICCAI ISIC), pages 000–000, 2023. Keyword(s): Dermatology, Color/Multichannel/Vector-valued, Machine Learning, Deep Learning, Classification, Continual Learning. [bibtex-key = miccai_isic2023a]



4. Siyi Du, Nourhan Bayasi, Ghassan Hamarneh, and Rafeef Garbi. MDViT: Multi-domain Vision Transformer for Small Medical Image Segmentation Datasets Segmentation. In Lecture Notes in Computer Science, Medical Image Computing and Computer-Assisted Intervention (MICCAI), pages 000-000, 2023. Keyword(s): Dermatology, Color/Multichannel/Vector-valued, Machine Learning, Deep Learning, Transformers, Classification. [bibtex-key = miccai2023]



5. Nourhan Bayasi, Ghassan Hamarneh, and Rafeef Garbi. BoosterNet: Improving Domain Generalization of Deep Neural Nets using Culpability-Ranked Features. In IEEE Computer Vision and Pattern Recognition (IEEE CVPR), pages 528-538, 2022. Keyword(s): Machine Learning, Deep Learning, Classification, Continual Learning, Domain Generalization, Dermatology. [bibtex-key = cvpr2022]



6. Siyi Du, Ben Her, Nourhan Bayasi, Ghassan Hamarneh, and Rafeef Garbi. FairDisCo: Fairer AI in Dermatology via Disentanglement Contrastive Learning. In European Conference on Computer Vision (ECCV) ISIC Skin Image Analysis Workshop (ECCV ISIC), pages 185-202, 2022. Keyword(s): Dermatology, Color/Multichannel/Vector-valued, Machine Learning, Deep Learning, AI Bias and Fairness, Classification. [bibtex-key = eccv_isic2022b]



7. Mayur Mallya and Ghassan Hamarneh. Deep Multimodal Guidance for Medical Image Classification. In Lecture Notes in Computer Science, Medical Image Computing and Computer-Assisted Intervention (MICCAI), volume 13437, pages 298–308, 2022. Keyword(s): Dermatology, Deep Learning, MRI, Microscopy, Multimodal. [bibtex-key = miccai2022]



8. Arezou Pakzad, Kumar Abhishek, and Ghassan Hamarneh. CIRCLe: Color Invariant Representation Learning for Unbiased Classification of Skin Lesions. In European Conference on Computer Vision (ECCV) ISIC Skin Image Analysis Workshop (ECCV ISIC), pages 203–219, 2022. Keyword(s): Dermatology, Color/Multichannel/Vector-valued, Machine Learning, Deep Learning, AI Bias and Fairness, Classification. [bibtex-key = eccv_isic2022a]



9. Saeid Asgari Taghanaki, Aliasghar Khani, Fereshte Khani, Ali Gholami, Linh Tran, Ali Mahdavi-Amiri, and Ghassan Hamarneh. MaskTune: Mitigating Shortcut Learning by Tuning to Explore (Asgari, Khani, Khani, Gholami: Equal contribution). In Neural Information Processing Systems (NeurIPS), pages 1-13, 2022. Keyword(s): Classification, Deep Learning. [bibtex-key = neurips2022]



10. Nourhan Bayasi, Ghassan Hamarneh, and Rafeef Garbi. Culprit-Prune-Net: Efficient Continual Sequential Multi-Domain Learning with Application to Skin Lesion Classification. In Lecture Notes in Computer Science, Medical Image Computing and Computer-Assisted Intervention (MICCAI), volume 12907, pages 165-175, 2021. Keyword(s): Classification, Dermatology, Machine Learning, Deep Learning, Continual Learning, Domain Generalization. [bibtex-key = miccai2021]



11. 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. [bibtex-key = miccai2019e]



12. 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. [bibtex-key = miccai_mlmi2019c]



13. 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. [bibtex-key = cvpr2019]



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. [bibtex-key = miccai2019a]



15. 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. [bibtex-key = miccai2019d]



16. 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. [bibtex-key = iccv_vrmi2019a]



17. Saurabh Garg, Ghassan Hamarneh, Allard Jongman, Joan Sereno, and Yue Wang. Joint Gender-, Tone-, Vowel- Classification via Novel Hierarchical Classification for Annotation of Monosyllabic Mandarin Word Tokens. In IEEE International Conference on Acoustics, Speech, and Signal Processing (IEEE ICASSP), pages 5744-5748, 2018. Keyword(s): Tracking, Segmentation, Color/Multichannel/Vector-valued, Speech and Language, Facial Analysis, Spatio-Temporal. [bibtex-key = icassp2018]



18. Jeremy Kawahara, Colin J. Brown, and Ghassan Hamarneh. Connectome Priors in Deep Neural Networks to Predict Autism (Kawahara and Brown: Joint first authors). In IEEE International Symposium on Biomedical Imaging (IEEE ISBI), pages 110-113, 2018. Keyword(s): Diffusion MRI/Tensor-valued, Autism, Connectome, Machine Learning, Deep Learning, Classification. [bibtex-key = isbi2018c]



19. Adria Romero-Lopez, Tory Jarmain, Latif Abid, Jevin Maltais, Albert Jimenez, Jeremy Kawahara, Ghassan Hamarneh, Shuang Ao, Mohamed Akrout, Anirudh Challa, Michael Aristocrat, Katrina Cirone, Stephen Solis, and Andrew McCann. Q&A-informed image-based deep learning for skin disease recognition in the real world. In Self-Organizing Conference on Machine Learning (SOCML), pages 1, 2018. Keyword(s): Machine Learning, Dermatology, Color/Multichannel/Vector-valued, Deep Learning, Reinforcement Learning, Classification. [bibtex-key = socml2018]



20. Saeid Asgari Taghanaki, Arkadeep Das, and Ghassan Hamarneh. Vulnerability Analysis of Chest X-Ray Image Classification Against Adversarial Attacks. In Medical Image Computing and Computer-Assisted Intervention Workshop on Deep Learning Fails (MICCAI DLF), volume 11038, pages 87-94, 2018. Keyword(s): Machine Learning, Deep Learning, Adversarial Attacks. [bibtex-key = miccai_dlf2018]



21. Jeremy Kawahara, Colin J. Brown, Steven Miller, Brian G. Booth, Vann Chau, Ruth Grunau, Jill Zwicker, and Ghassan Hamarneh. BrainNetCNN: Artificial Convolutional Neural Networks for Connectomes. In 2nd Annual Health Technology Symposium, Vancouver, Canada, pages 1, 2017. Keyword(s): Diffusion MRI/Tensor-valued, Neurodevelopment, Connectome, Machine Learning, Deep Learning, Classification. [bibtex-key = healthtech2017c]



22. Rafeef Abugharbieh, Ghassan Hamarneh, and Tomas Gustavsson. Review - Active Shape Models - Part II: Image Search and Classification. In Swedish Symposium on Image Analysis (SSIA), pages 129-132, 1998. Keyword(s): Segmentation, Shape Modelling and Analysis, Deformable Models. [bibtex-key = ssab1998b]

1. Siyi Du, Nourhan Bayasi, Ghassan Hamarneh, and Rafeef Garbi. MDViT: Multi-domain Vision Transformer for Small Medical Image Segmentation Datasets Segmentation. Technical report arxiv.2307.02100, 7 2023. Keyword(s): Dermatology, Color/Multichannel/Vector-valued, Machine Learning, Deep Learning, Transformers, Classification. [bibtex-key = arxiv:2307.02100]



2. Siyi Du, Ben Her, Nourhan Bayasi, Ghassan Hamarneh, and Rafeef Garbi. FairDisCo: Fairer AI in Dermatology via Disentanglement Contrastive Learning. Technical report arXiv:2208.10013, 8 2022. Keyword(s): Dermatology, Color/Multichannel/Vector-valued, Machine Learning, Deep Learning, AI Bias and Fairness, Classification. [bibtex-key = arxiv:2208.10013]



3. Mayur Mallya and Ghassan Hamarneh. Deep Multimodal Guidance for Medical Image Classification. Technical report arXiv:2203.05683, 3 2022. Keyword(s): Dermatology, Deep Learning, MRI, Microscopy, Multimodal. [bibtex-key = arxiv:2203.05683]



4. Arezou Pakzad, Kumar Abhishek, and Ghassan Hamarneh. CIRCLe: Color Invariant Representation Learning for Unbiased Classification of Skin Lesions. Technical report arXiv:2208.13528, 8 2022. Keyword(s): Dermatology, Color/Multichannel/Vector-valued, Machine Learning, Deep Learning, AI Bias and Fairness, Classification. [bibtex-key = arxiv:2208.13528]



5. 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. [bibtex-key = arxiv:1906.01256]



6. Ghassan Hamarneh. Active Shape Models, Modeling Shape Variations and Gray Level Information and an Application to Image Search and Classification. Technical report R005/1998 (S2-IAG-98-1), Department of Signals and Systems, School of Electrical and Computer Engineering, Chalmers University of Technology, Goteborg, Sweden, 9 1998. Keyword(s): Segmentation, Shape Modelling and Analysis, Deformable Models. [bibtex-key = s2iag1998_1]

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