1. 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]



2. Saurabh Garg, Haoyao Ruan, Ghassan Hamarneh, Dawn M. Behne, Allard Jongman, Joan Sereno, and Yue Wang. Mouth2Audio: Intelligible Audio Synthesis From Videos With Distinctive Vowel Articulation. International Journal of Speech Technology, 000(000):000-000, 2023. Keyword(s): Synthesis/Simulation/Augmentation, Tracking, Machine Learning, Deep Learning, Color/Multichannel/Vector-valued, Speech and Language, Facial Analysis, Spatio-Temporal. [bibtex-key = ijst2023b]



3. Saurabh Garg, Lisa Y. W. Tang, Ghassan Hamarneh, Allard Jongman, Joan Sereno, and Yue Wang. Different facial cues for different speech styles in Mandarin tone articulation. Frontiers in Communication - Language Sciences, 8(1148240):1-19, 2023. Keyword(s): Tracking, Machine Learning, Color/Multichannel/Vector-valued, Speech and Language, Facial Analysis, Spatio-Temporal. [bibtex-key = frontcomm2023]



4. Shubam Sachdeva, Haoyao Ruan, Ghassan Hamarneh, Dawn Behne, Allard Jongman, Joan Sereno, and Yue Wang. Plain-to-clear speech video conversion for enhanced intelligibility. International Journal of Speech Technology (IJST), pp 1-22, 2023. Keyword(s): Segmentation, Tracking, Color/Multichannel/Vector-valued, Speech and Language, Facial Analysis, Spatio-Temporal. [bibtex-key = ijst2023a]



5. Ali Majd, Mohammed AlJasser, Hengameh Mirzaalian, Jerry Shapiro, Ghassan Hamarneh, Harvey Lui, Leopoldo Duailibe Nogueira Santos, Thomas Chu, and Tim K. Lee. A novel automated approach to rapid and precise in vivo measurement of hair morphometrics using a smartphone. Skin Research and Technology (SRT), 27:1128–1134, 2021. Keyword(s): Anatomical Trees and Tubular Structures, Dermatology, Color/Multichannel/Vector-valued, Software and Tools. [bibtex-key = srt2021]



6. Saurabh Garg, Ghassan Hamarneh, Allard Jongman, Joan Sereno, and Yue Wang. ADFAC: Automatic Detection of Facial Articulatory Features. MethodX, 7:101006, 2020. Keyword(s): Segmentation, Tracking, Color/Multichannel/Vector-valued, Speech and Language, Facial Analysis, Spatio-Temporal, Software and Tools. [bibtex-key = methodx2020]



7. Saurabh Garg, Lisa Y. W. Tang, Ghassan Hamarneh, Allard Jongman, Joan Sereno, and Yue Wang. Different facial cues for different speech styles in Mandarin tone articulation. The Journal of the Acoustical Society of America (JASA). Also appears in ASA Meeting, 148(4):2764-2764, 2020. Keyword(s): Tracking, Machine Learning, Color/Multichannel/Vector-valued, Speech and Language, Facial Analysis, Spatio-Temporal. [bibtex-key = jasa2020]



8. 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. [bibtex-key = speechcomm2019]



9. 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]



10. 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]



11. 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]



12. Saurabh Garg, Lisa Y. W. Tang, Ghassan Hamarneh, Allard Jongman, Joan Sereno, and Yue Wang. Computer-vision analysis shows different facial movements for the production of different Mandarin tones. The Journal of the Acoustical Society of America (JASA). Also appears in ASA Meeting, 144(3):1720-1720, 2018. Keyword(s): Tracking, Machine Learning, Color/Multichannel/Vector-valued, Speech and Language, Facial Analysis, Spatio-Temporal. [bibtex-key = jasa2018b]



13. Joan Sereno, Allard Jongman, Yue Wang, Ghassan Hamarneh, Lisa Y. W. Tang, Saurabh Garg, Paul Tupper, Bob McMurray, Charles Redmon, Yuyu Zeng, Beverly Hannah, Keith Leung, and Sylvia Cho. Linking production and perception of clear speech. The Journal of the Acoustical Society of America (JASA). Also appears in ASA Meeting, 144(3):1725-1725, 2018. Keyword(s): Tracking, Machine Learning, Color/Multichannel/Vector-valued, Speech and Language, Facial Analysis, Spatio-Temporal. [bibtex-key = jasa2018a]



14. 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]



15. 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]



16. Hengameh Mirzaalian, Tim K. Lee, and Ghassan Hamarneh. Streak-Detection in Dermoscopic Color Images using Localized Radial Flux of Principal Intensity Curvature (Chapter 7). Dermoscopy Image Analysis, pp 211-229, 2015. ISBN: 9781482253269. Keyword(s): Color/Multichannel/Vector-valued, Processing, Segmentation, Anatomical Trees and Tubular Structures, Dermatology. [bibtex-key = crc2015a]



17. Lisa Y. W. Tang, Beverly Hannah, Allard Jongman, Joan Sereno, Yue Wang, and Ghassan Hamarneh. Examining visible articulatory features in clear and plain speech. Speech Communications, 75:1-13, 2015. Keyword(s): Segmentation, Tracking, Color/Multichannel/Vector-valued, Speech and Language, Facial Analysis, Spatio-Temporal. [bibtex-key = speechcomm2015]



18. Hengameh Mirzaalian, Tim K. Lee, and Ghassan Hamarneh. Hair Enhancement in Dermoscopic Images using Dual-Channel Quaternion Tubularness Filters and MRF-based Multi-Label Optimization. IEEE Transactions on Image Processing (IEEE TIP), 23(12):5486-5496, 2014. Keyword(s): Anatomical Trees and Tubular Structures, Processing, Color/Multichannel/Vector-valued, Dermatology, Synthesis/Simulation/Augmentation, Datasets. [bibtex-key = tip2014]



19. Ghassan Hamarneh, Chris McIntosh, and Mark S. Drew. Perception-based Visualization of Manifold-Valued Medical Images using Distance-Preserving Dimensionality Reduction. IEEE Transactions on Medical Imaging (IEEE TMI), 30(7):1314-1327, 2011. Keyword(s): Color/Multichannel/Vector-valued, Visualization, Diffusion MRI/Tensor-valued, Functional/Molecular/Dynamic Imaging. [bibtex-key = tmi2011b]



20. Lingshu Yin, Lisa Y. W. Tang, Ghassan Hamarneh, Brad Gill, Anna Celler, Sergey Shcherbinin, Tsien-Fei Fua, Anna Thompson, Mitchell Liu, Cheryl Duzenli, Finbar Sheehan, and Vitali Moiseenko. Complexity and accuracy of image registration methods in SPECT guided radiation therapy. Physics in Medicine and Biology (PMB), 55:237-246, 2010. Keyword(s): Registration and Matching, Color/Multichannel/Vector-valued, Functional/Molecular/Dynamic Imaging. [bibtex-key = pmb2010]

1. Kumar Abhishek and Ghassan Hamarneh. Lesion Elevation Prediction from Skin Images Improves Diagnosis. In Medical Image Computing and Computer-Assisted Intervention (MICCAI) ISIC Skin Image Analysis Workshop (MICCAI ISIC), pages 000–000, 2024. Keyword(s): Dermatology, Color/Multichannel/Vector-valued, Machine Learning, Deep Learning. [bibtex-key = miccai_isic2024b]



2. Kumar Abhishek, Jeremy Kawahara, and Ghassan Hamarneh. Segmentation Style Discovery: Application to Skin Lesion Images. In Medical Image Computing and Computer-Assisted Intervention (MICCAI) ISIC Skin Image Analysis Workshop (MICCAI ISIC), pages 000–000, 2024. Keyword(s): Dermatology, Color/Multichannel/Vector-valued, Machine Learning, Deep Learning, Segmentation. [bibtex-key = miccai_isic2024a]



3. 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]



4. 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]



5. Siyi Du, Nourhan Bayasi, Ghassan Hamarneh, and Rafeef Garbi. AViT: Adapting Vision Transformers for Small Skin Lesion Segmentation Datasets. 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, Segmentation, Transformers. [bibtex-key = miccai_isic2023b]



6. 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]



7. 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]



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. 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]



10. 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]



11. Kumar Abhishek, Ghassan Hamarneh, and Mark S. Drew. Illumination-based Transformations Improve Skin Lesion Segmentation in Dermoscopic Images. In IEEE Computer Vision and Pattern Recognition (IEEE CVPR) ISIC Skin Image Analysis Workshop (CVPR ISIC), pages 728-729, 2020. Keyword(s): Dermatology, Color/Multichannel/Vector-valued, Machine Learning, Deep Learning, Segmentation. [bibtex-key = cvpr_isic2020]



12. Saurabh Garg, Lisa Y. W. Tang, Ghassan Hamarneh, Allard Jongman, Joan Sereno, and Yue Wang. Different facial cues for different speech styles in Mandarin tone articulation. In Acoustical Society of America Meeting (ASA), pages 1, 2020. Keyword(s): Tracking, Machine Learning, Color/Multichannel/Vector-valued, Speech and Language, Facial Analysis, Spatio-Temporal. [bibtex-key = asa2020]



13. Mengliu Zhao, Sajjad Shamanian, Priyanka Chandrashekar, Kumar Abhishek, Jeremy Kawahara, and Ghassan Hamarneh. Skin Lesion Localization and Tracking on 3D Whole Body Colored Surface Images. In Centre for Artificial Intelligence Decision-making and Action (CAIDA), BC's AI Showcase, Canada, pages 1, 2020. Keyword(s): Deep Learning, Dermatology. [bibtex-key = caida2020a]



14. 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]



15. 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]



16. Saurabh Garg, Lisa Y. W. Tang, Ghassan Hamarneh, Allard Jongman, Joan Sereno, and Yue Wang. Computer-vision analysis shows different facial movements for the production of different Mandarin tones. In Acoustical Society of America Meeting (ASA), pages 1, 2018. Keyword(s): Tracking, Machine Learning, Color/Multichannel/Vector-valued, Speech and Language, Facial Analysis, Spatio-Temporal. [bibtex-key = asa2018b]



17. 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]



18. 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]



19. 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]



20. 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]



21. Yue Wang, Beverly Hannah, Keith Leung, Sylvia Cho, Joan Sereno, Allard Jongman, Charles Redmon, Yuyu Zeng, Ghassan Hamarneh, Lisa Y. W. Tang, Saurabh Garg, Paul Tupper, and Bob McMurray. Linking production and perception of clear speech. In Acoustical Society of America Meeting (ASA), pages 1, 2018. Keyword(s): Tracking, Machine Learning, Color/Multichannel/Vector-valued, Speech and Language, Facial Analysis, Spatio-Temporal. [bibtex-key = asa2018a]



22. 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]



23. 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]



24. 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]



25. Jeremy Kawahara, Kathleen Moriarty, and Ghassan Hamarneh. Graph Geodesics to Find Progressively Similar Skin Lesion Images. In Medical Image Computing and Computer-Assisted Intervention Workshop on Graphs in Biomedical Image Analysis (MICCAI GRAIL), pages 1-11, 2017. Keyword(s): Machine Learning, Dermatology, Color/Multichannel/Vector-valued, Deep Learning, Graph based. [bibtex-key = miccai_grail2017]



26. 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]



27. Jeremy Kawahara and Ghassan Hamarneh. Multi-Resolution-Tract CNN with Hybrid Pretrained and Skin-Lesion Trained Layers. In Medical Image Computing and Computer-Assisted Intervention Workshop on Machine Learning in Medical Imaging (MICCAI MLMI), volume 10019, pages 164-171, 2016. Keyword(s): Machine Learning, Dermatology, Color/Multichannel/Vector-valued, Deep Learning. [bibtex-key = miccai_mlmi2016a]



28. Jeremy Kawahara and Ghassan Hamarneh. Image Content-Based Navigation of Skin Conditions. In World Congress of Dermatology (WCD), 2015. Keyword(s): Dermatology, Color/Multichannel/Vector-valued, Visualization, User Interaction. [bibtex-key = wcd2015a]



29. Ali Majd, Mohammed AlJasser, Hengameh Mirzaalian, Jerry Shapiro, Ghassan Hamarneh, and Tim K. Lee. Automated Counting of Hair Using an iPhone. In World Congress of Dermatology (WCD), 2015. Keyword(s): Anatomical Trees and Tubular Structures, Dermatology, Color/Multichannel/Vector-valued, Software and Tools. [bibtex-key = wcd2015c]



30. Hengameh Mirzaalian, Tim K. Lee, and Ghassan Hamarneh. A computer vision tracking system for pigmented skin lesions. In World Congress of Dermatology (WCD), 2015. Keyword(s): Processing, Color/Multichannel/Vector-valued, Machine Learning, Optimization, Registration and Matching, Tracking, Graph based, Dermatology. [bibtex-key = wcd2015b]



31. Hengameh Mirzaalian, Tim K. Lee, and Ghassan Hamarneh. Detecting Streaks from Dermoscopic Images of Pigmented Skin Lesions. In The International Society for Biophysics and Imaging of the Skin (ISBS), 2015. Keyword(s): Processing, Color/Multichannel/Vector-valued, Machine Learning, Dermatology. [bibtex-key = isbs2015]



32. Lisa Y. W. Tang, Beverly Hannah, Allard Jongman, Joan Sereno, Yue Wang, and Ghassan Hamarneh. Examining Visible Articulatory Features in Clear and Conversational Speech. In The International Congress of Phonetic Sciences (ICPhS), pages 1-4, 2015. Keyword(s): Tracking, Segmentation, Color/Multichannel/Vector-valued, Speech and Language, Facial Analysis, Spatio-Temporal. [bibtex-key = icphs2015]



33. Hengameh Mirzaalian, Tim K. Lee, and Ghassan Hamarneh. Learning Features for Streak Detection in Dermoscopic Color Images using Localized Radial Flux of Principal Intensity Curvature. In IEEE workshop on Mathematical Methods for Biomedical Image Analysis (IEEE MMBIA), pages 97-101, 2012. Keyword(s): Color/Multichannel/Vector-valued, Machine Learning, Anatomical Trees and Tubular Structures, Dermatology. [bibtex-key = mmbia2012d]



34. Lilong Shi, Brian Funt, and Ghassan Hamarneh. Quaternion Color Curvature. In Color Imaging (IS&T/SID CI), pages 338-341, 2008. Keyword(s): Processing, Color/Multichannel/Vector-valued, Anatomical Trees and Tubular Structures. [bibtex-key = ci2008]



35. Mark S. Drew and Ghassan Hamarneh. Visualizing Diffusion Tensor Dissimilarity using an ICA Based Perceptual Color Metric. In Color Imaging (IS&T/SID CI), pages 42-47, 2007. Keyword(s): Visualization, Diffusion MRI/Tensor-valued, Color. [bibtex-key = ci2007]



36. Artur Chodorowski, Ulf Mattsson, Morgan Langille, and Ghassan Hamarneh. Color lesion boundary detection using live wire. In SPIE Medical Imaging, volume 5747, pages 1589-1596, 2005. Keyword(s): Segmentation, Deformable Models, Color/Multichannel/Vector-valued, Graph based. [bibtex-key = spiemi2005d]



37. Ghassan Hamarneh, Artur Chodorowski, and Tomas Gustavsson. Active Contour Models: Application to Oral Lesion Detection in Color Images. In IEEE International Conference on Systems, Man, and Cybernetics (IEEE SMC), volume 4, pages 2458 -2463, 2000. Keyword(s): Segmentation, Deformable Models, Color. [bibtex-key = smc2000a]

1. Y. Lydia Li, Ismail M. Khater, Christian Hallgrimson, Timothy H. Wong, Ghassan Hamarneh, and Ivan Robert Nabi. Super-resolution single molecule network analysis (SuperResNET) detects changes to clathrin structure by small molecule inhibitors (Wong and Khater: Joint first authors; Hamarneh and Nabi: Joint senior authors). Technical report biorxiv:2024.03.07.583946, 3 2024. Keyword(s): Super Resolution Microscopy, Single Molecule Localization Microscopy, Color/Multichannel/Vector-valued, Image Reconstruction. [bibtex-key = biorxiv_2024_03_07_583946]



2. Y. Lydia Li, Ismail M. Khater, Christian Hallgrimson, Timothy H. Wong, Ghassan Hamarneh, and Ivan Robert Nabi. SuperResNET single molecule localization microscopy model-free network analysis of Nup96 achieves molecular resolution (Li and Khater: Joint first authors; Hamarneh and Nabi: Joint senior authors). Technical report biorxiv:2024.03.12.584716, 3 2024. Keyword(s): Super Resolution Microscopy, Single Molecule Localization Microscopy, Color/Multichannel/Vector-valued, Image Reconstruction. [bibtex-key = biorxiv_2024_03_12_584716]



3. 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]



4. Ben Cardoen, Guang Gao, Kurt Vandevoorde, Parsa Alan, William Liu, Ghassan Hamarneh, and Ivan Robert Nabi. Automatic sub-precision membrane contact site detection identifies convoluted tubular riboMERCs (Cardoen, Gao, Vandevoorde: Joint first authors; Hamarneh and Nabi: Joint senior authors). Technical report biorxiv:2022.06.23.497346, 6 2022. Keyword(s): Super Resolution Microscopy, Single Molecule Localization Microscopy, Color/Multichannel/Vector-valued, Image Reconstruction. [bibtex-key = biorxiv_2022_06_23_497346]



5. 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]



6. Saurabh Garg, Haoyao Ruan, Ghassan Hamarneh, Dawn M. Behne, Allard Jongman, Joan Sereno, and Yue Wang. Mouth2audio: Intelligible Audio Synthesis from Videos with Distinctive Vowel Articulation. Technical report SSRN Electronic Journal 4146179, 6 2022. Keyword(s): Segmentation, Tracking, Color/Multichannel/Vector-valued, Speech and Language, Facial Analysis, Spatio-Temporal, Deep Learning. [bibtex-key = ssrn2022_4146179]



7. 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]



8. Kumar Abhishek, Ghassan Hamarneh, and Mark S. Drew. Illumination-based Transformations Improve Skin Lesion Segmentation in Dermoscopic Images. Technical report arxiv:2003.10111, 3 2020. Keyword(s): Dermatology, Color/Multichannel/Vector-valued, Machine Learning, Deep Learning, Segmentation. [bibtex-key = arxiv:2003.10111]



9. 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]



10. 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]



11. Ryan Dickie, Ghassan Hamarneh, and Rafeef Abugharbieh. Live-vessel: Interactive vascular image segmentation with simultaneous extraction of optimal medial and boundary paths. Technical report TR 2009-23, School of Computing Science, Simon Fraser University, Burnaby, BC, Canada, 11 2009. Keyword(s): Segmentation, Anatomical Trees and Tubular Structures, Color/Multichannel/Vector-valued, Optimization, Software and Tools, User Interaction, Medial-based Shape Representation, Graph based, Bifurcation/Junction. [bibtex-key = sfu_cs2009_23]



12. Ghassan Hamarneh, Chris McIntosh, and Mark S. Drew. Perception-based Visualization of High-Dimensional Medical Images Using Distance Preserving Dimensionality Reduction. Technical report TR 2009-22, School of Computing Science, Simon Fraser University, Burnaby, BC, Canada, 11 2009. Keyword(s): Color/Multichannel/Vector-valued, Visualization, Diffusion MRI/Tensor-valued, Functional/Molecular/Dynamic Imaging. [bibtex-key = sfu_cs2009_22]

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