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Publications about 'Dermatology'
Articles in journal, book chapters
  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. Ashish Sinha, Jeremy Kawahara, Arezou Pakzad, Kumar Abhishek, Matthieu Ruthven, Enjie Ghorbel, Anis Kacem, Djamila Aouada, and Ghassan Hamarneh. DermSynth3D: Synthesis of in-the-wild Annotated Dermatology Images (Sinha, Kawahara, Pakzad: Joint first authors). Medical Image Analysis (MedIA), 000(103145):000, 2024. Keyword(s): Dermatology, Machine Learning, Deep Learning, Segmentation, Synthesis/Simulation/Augmentation, Datasets. [bibtex-key = media2024]


  4. 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]


  5. Mengliu Zhao, Jeremy Kawahara, Kumar Abhishek, Sajjad Shamanian, and Ghassan Hamarneh. Skin3D: Detection and Longitudinal Tracking of Pigmented Skin Lesions in 3D Total-Body Textured Meshes (Zhao and Kawahara: Joint first authors). Medical Image Analysis (MedIA), 77(102329):1-10, 2022. Keyword(s): Dermatology, Machine Learning, Deep Learning, Optimization, Registration and Matching, Graph based, Tracking, Datasets. [bibtex-key = media2022]


  6. Kumar Abhishek, Jeremy Kawahara, and Ghassan Hamarneh. Predicting the Clinical Management of Skin Lesions using Deep Learning. Nature - Scientific Reports, 11(7769):1-14, 2021. Keyword(s): Dermatology, Machine Learning, Deep Learning, Clinical Management. [bibtex-key = nature_sr2021b]


  7. 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]


  8. 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]


  9. 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]


  10. Peyman Gholami, Mohammad Ali Ahmadi-pajouh, Nabiollah Abolftahi, Ghassan Hamarneh, and Mohammad Kayvanrad. Segmentation and Measurement of Chronic Wounds for Bioprinting. IEEE Journal of Biomedical and Health Informatics (IEEE JBHI), 22(4):1269-1277, 2018. Keyword(s): Segmentation, Dermatology. [bibtex-key = jbhi2018c]


  11. Hengameh Mirzaalian, Tim K. Lee, and Ghassan Hamarneh. Skin Lesion Tracking System using Structured Graphical Models. Medical Image Analysis (MedIA) (Special Issue on Discrete Graphical Models in Biomedical Image Analysis), 27:84-92, 2015. Keyword(s): Registration and Matching, Tracking, Graph based, Dermatology, Machine Learning. [bibtex-key = media2015]


  12. 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]


  13. 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]


  14. Hengameh Mirzaalian, Tim K. Lee, and Ghassan Hamarneh. Spatial Normalization of Human Back Images for Dermatological Studies. IEEE Journal of Biomedical and Health Informatics (IEEE JBHI), 18(4):1494-1501, 2013. Keyword(s): Registration and Matching, Tracking, Graph based, Dermatology. [bibtex-key = jbhi2013]


Conference articles
  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, 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]


  5. 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]


  6. 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]


  7. 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]


  8. 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]


  9. 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]


  10. 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]


  11. 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]


  12. Kumar Abhishek and Ghassan Hamarneh. Matthews Correlation Coefficient Loss for Deep Convolutional Networks: Application to Skin Lesion Segmentation. In IEEE International Symposium on Biomedical Imaging (IEEE ISBI), pages 225-229, 2021. Keyword(s): Segmentation, Machine Learning, Deep Learning, Dermatology, Optimization. [bibtex-key = isbi2021]


  13. Kumar Abhishek, Jeremy Kawahara, and Ghassan Hamarneh. Direct AI-based Prediction of Clinical Management Bypassing Diagnosis: Application to Skin Lesions. In UBC Dermatology and Skin Science: Skin Research Day, 2021. Keyword(s): Deep Learning, Dermatology. [bibtex-key = skin2021b]


  14. 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]


  15. 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]


  16. 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]


  17. Mengliu Zhao, Jeremy Kawahara, Sajjad Shamanian, Kumar Abhishek, and Ghassan Hamarneh. Computerized Localization and Tracking of Pigmented Skin Lesions on 3D Whole Body Textured Skin Meshes (Zhao and Kawahara: Joint first authors). In UBC Dermatology and Skin Science: Skin Research Day, 2021. Keyword(s): Deep Learning, Tracking, Dermatology. [bibtex-key = skin2021a]


  18. 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]


  19. Mengliu Zhao, Sajjad Shamanian, Priyanka Chandrashekar, Kumar Abhishek, Jeremy Kawahara, and Ghassan Hamarneh. Acquisition and Analysis of 3D Whole Body Skin Images for Dermatological Studies. In The 2nd Annual Tri-Cluster Research Day, Canada, pages 1, 2020. Keyword(s): Deep Learning, Dermatology. [bibtex-key = tricluster2020a]


  20. 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]


  21. 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. [bibtex-key = miccai_sashimi2019]


  22. 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]


  23. 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. [bibtex-key = ipmi2019]


  24. 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]


  25. 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]


  26. 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]


  27. 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]


  28. 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]


  29. 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]


  30. 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]


  31. 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]


  32. 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]


  33. 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]


  34. 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]


  35. 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]


  36. Hengameh Mirzaalian, Tim K. Lee, and Ghassan Hamarneh. Skin Lesion Matching using Jacobian Based Descriptors for Topology Preservation. In IEEE International Symposium on Biomedical Imaging (IEEE ISBI), pages 1407-1410, 2015. Keyword(s): Dermatology, Registration and Matching. [bibtex-key = isbi2015c]


  37. 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]


  38. Hengameh Mirzaalian, Tim K. Lee, and Ghassan Hamarneh. Uncertainty-based Feature Learning for Skin Lesion Matching using a High Order MRF Optimization Framework. In Lecture Notes in Computer Science, Medical Image Computing and Computer-Assisted Intervention (MICCAI), volume 7511, pages 98-105, 2012. Keyword(s): Machine Learning, Uncertainty, Optimization, Dermatology. [bibtex-key = miccai2012]


  39. Hengameh Mirzaalian, Ghassan Hamarneh, and Tim K. Lee. Back Atlas for Tracking Pigmented Skin Lesions. In Annual UBC and CIHR Skin Research Day, 2010. Keyword(s): Registration and Matching, Tracking, Dermatology. [bibtex-key = skin2010]


  40. Hengameh Mirzaalian, Ghassan Hamarneh, and Tim K. Lee. Graph-based Approach to Skin Mole Matching Incorporating Template-Normalized Coordinates. In IEEE Computer Vision and Pattern Recognition (IEEE CVPR), pages 2152-2159, 2009. Keyword(s): Registration and Matching, Tracking, Graph based, Dermatology. [bibtex-key = cvpr2009]


  41. Hengameh Mirzaalian, Ghassan Hamarneh, and Tim K. Lee. Skin Mole Matching Incorporating Template-Normalized Coordinates. In Annual UBC and CIHR Skin Research Day, 2009. Keyword(s): Registration and Matching, Tracking, Graph based, Dermatology. [bibtex-key = skin2009]


Internal reports
  1. Kumar Abhishek, Aditi Jain, and Ghassan Hamarneh. Investigating the Quality of DermaMNIST and Fitzpatrick17k Dermatological Image Datasets. Technical report arXiv:2401.14497, 1 2024. Keyword(s): Dermatology, Machine Learning, Deep Learning, Software and Tools, Datasets. [bibtex-key = arxiv:2401.14497]


  2. Adriano D'Alessandro, Ali Mahdavi-Amiri, and Ghassan Hamarneh. Counting Objects in Images using Deep Learning: Methods and Current Challenges. Technical report Research Square (Preprint) 2986682, 6 2023. Keyword(s): Deep Learning, Counting, Survey/Review, Dermatology. [bibtex-key = research_square2023_2986682]


  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. Ashish Sinha, Jeremy Kawahara, Arezou Pakzad, Kumar Abhishek, Matthieu Ruthven, Enjie Ghorbel, Anis Kacem, Djamila Aouada, and Ghassan Hamarneh. DermSynth3D: Synthesis of in-the-wild Annotated Dermatology Images (Sinha, Kawahara, Pakzad: Joint first authors). Technical report arxiv.2305.12621, 5 2023. Keyword(s): Dermatology, Machine Learning, Deep Learning, Segmentation, Synthesis/Simulation/Augmentation, Datasets. [bibtex-key = arxiv:2305.12621]


  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. 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]


  7. 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]


  8. 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]


  9. Mengliu Zhao, Jeremy Kawahara, Sajjad Shamanian, Kumar Abhishek, Priyanka Chandrashekar, and Ghassan Hamarneh. Detection and Longitudinal Tracking of Pigmented Skin Lesions in 3D Total-Body Skin Textured Meshes (Zhao and Kawahara: Joint first authors). Technical report arXiv:2105.00374, 5 2021. Keyword(s): Dermatology, Machine Learning, Deep Learning, Optimization, Registration and Matching, Graph based, Tracking. [bibtex-key = arxiv:2105.00374]


  10. Kumar Abhishek and Ghassan Hamarneh. Matthews Correlation Coefficient Loss for Deep Convolutional Networks: Application to Skin Lesion Segmentation. Technical report arXiv:2010.13454, 10 2020. Keyword(s): Dermatology, Machine Learning, Deep Learning, Segmentation. [bibtex-key = arxiv:2010.13454]


  11. 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]


  12. Kumar Abhishek, Jeremy Kawahara, and Ghassan Hamarneh. Predicting the Clinical Management of Skin Lesions Using Deep Learning. Technical report medRxiv 2020.11.02.20223941, November 2020. Keyword(s): Dermatology, Machine Learning, Deep Learning, Clinical Management. [bibtex-key = medrxiv2020_20223941]


  13. 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]


  14. 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]


  15. Jeremy Kawahara and Ghassan Hamarneh. Fully Convolutional Networks to Detect Clinical Dermoscopic Features. Technical report arxiv:1703.04559, 3 2017. Keyword(s): Machine Learning, Deep Learning, Dermatology, Challenge. [bibtex-key = arxiv:1703.04559]


  16. Hengameh Mirzaalian, Ghassan Hamarneh, and Tim K. Lee. Spatial Normalization of Human Back Images for Dermatological Studies. Technical report TR 2010-01, School of Computing Science, Simon Fraser University, Burnaby, BC, Canada, 2 2010. Keyword(s): Registration and Matching, Dermatology. [bibtex-key = sfu_cs2010_01]



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Last modified: Thu Aug 1 12:06:05 2024
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