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Publications of Kumar Abhishek at Hamarneh Lab
Thesis
  1. Kumar Abhishek. Input Space Augmentation For Skin Lesion Segmentation In Dermoscopic Images. Master's Thesis, School of Computing Science, Faculty of Applied Sciences, Simon Fraser University, April 2020. [bibtex-key = msc2020abhishek]


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, March 2024. Keyword(s): Machine Learning, Deep Learning, Synthesis/Simulation/Augmentation, Classification, Dermatology. [bibtex-key = jbd2024]


  2. 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]


  3. 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]


  4. 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]


  5. 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]


  6. Saeid Asgari Taghanaki, Kumar Abhishek, Joseph Paul Cohen, Julien Cohen-Adad, and Ghassan Hamarneh. Deep Semantic Segmentation of Natural and Medical Images: A Review (Taghanaki and Abhishek: Joint first authors). Artificial Intelligence Review, 54(1):137-178, 2021. Keyword(s): Segmentation, Survey/Review, Machine Learning, Deep Learning. [bibtex-key = aire2020a]


  7. Weina Jin, Mostafa Fatehi, Kumar Abhishek, Mayur Mallya, Brian Toyota, and Ghassan Hamarneh. Artificial Intelligence in Glioma Imaging: Challenges and Advances. Journal of Neural Engineering, 17(2):021002, 2020. Keyword(s): Glioma Imaging, Machine Learning, Deep Learning, Survey/Review. [bibtex-key = jne2020]


Conference articles
  1. Tanya Gatsak, Kumar Abhishek, Hanene Ben Yedder, Saeid Asgari Taghanaki, and Ghassan Hamarneh. PET-Disentangler: PET Lesion Segmentation via Disentangled Healthy and Disease Feature Representations. In The Society of Nuclear Medicine and Molecular Imaging (SNMMI) Annual Meeting, pages 1, 2024. Keyword(s): Enhancement/Restoration/Denoising, Deep Learning, Functional/Molecular/Dynamic Imaging, Segmentation. [bibtex-key = snmmi2024]


  2. Kumar Abhishek, Colin J. Brown, and Ghassan Hamarneh. $\zeta$-mixup: Richer, More Realistic Mixing of Multiple Images. In Medical Imaging with Deep Learning (MIDL), pages 1-5, 2023. Keyword(s): Machine Learning, Deep Learning, Synthesis/Simulation/Augmentation. [bibtex-key = midl2023]


  3. 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]


  4. 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]


  5. 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]


  6. 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]


  7. 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]


  8. 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]


  9. 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]


  10. 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]


  11. 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]


  12. 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]


  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, 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. [bibtex-key = miccai2019b]


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. 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]


  3. Kumar Abhishek, Colin J. Brown, and Ghassan Hamarneh. Multi-Sample \(\zeta\)-mixup: Richer, More Realistic Synthetic Samples from a \(p\)-Series Interpolant. Technical report arXiv:2204.03323, 4 2022. Keyword(s): Machine Learning, Deep Learning, Synthesis/Simulation/Augmentation. [bibtex-key = arxiv:2204.03323]


  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). Technical report arXiv:2206.00356, 6 2022. Keyword(s): Machine Learning, Deep Learning, Segmentation, Survey/Review, Dermatology. [bibtex-key = arxiv:2206.00356]


  5. 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]


  6. 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]


  7. 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]


  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. 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]


  10. 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]


  11. 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. [bibtex-key = arxiv:1906.05845]


  12. 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. [bibtex-key = arxiv:1911.12886]


  13. 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. [bibtex-key = arxiv:1910.07655]


  14. 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. [bibtex-key = arxiv:1904.02307]


  15. Saeid Asgari Taghanaki, Kumar Abhishek, and Ghassan Hamarneh. Signed Input Regularization. Technical report arxiv:1911.07086, 12 2019. Keyword(s): Machine Learning, Deep Learning. [bibtex-key = arxiv:1911.07086]



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Last modified: Wed Mar 27 16:05:02 2024
Author: hamarneh.


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