1. Christian Hallgrimson, Y. Lydia Li, Claire A. Shou, Ben Cardoen, John Lim, Timothy H. Wong, Ismail M. Khater, Ivan Robert Nabi, and Ghassan Hamarneh. Adversarial erasing enhanced multiple instance learning (siMILe): Discriminative identification of oligomeric protein structures in single molecule localization microscopy. Advanced Intelligent Systems (AISY), 000:000-000, 2026. Keyword(s): Super Resolution Microscopy, Single Molecule Localization Microscopy, Machine Learning, Weak Supervision, Point Cloud. [bibtex-key = aisy2026]



2. Ivan Robert Nabi, Ben Cardoen, Ismail M. Khater, Guang Gao, Timothy H. Wong, and Ghassan Hamarneh. AI-based analysis of super-resolution microscopy: Biological discovery in the absence of ground truth. The Journal Of Cell Biology (JCB), 223(8):1-13, 8 2024. Keyword(s): Super Resolution Microscopy, Deep Learning, Machine Learning, Weak Supervision, Survey/Review, Point Cloud, Graphs/Networks. [bibtex-key = jcb2024]

1. Kumar Abhishek. Rethinking Data, Annotation, and Targets in Deep Learning for Skin Image Analysis. In Medical Image Computing and Computer-Assisted Intervention (MICCAI) Doctoral Symposium, volume 000, pages 1-10, 2026. Keyword(s): Dermatology/Skin, Color/Multichannel/Vector-valued, Machine Learning, Deep Learning, Synthesis/Simulation/Augmentation, Classification, Segmentation, Annotation Noise and Disagreement, Multi-Annotator, Annotator Variability, Software and Tools, Datasets, Clinical Management, Weak Supervision, Optimization, Data Scarcity and Imbalance. [bibtex-key = miccai_doctoralsymposium2026b]



2. Kumar Abhishek and Ghassan Hamarneh. How Good Is This Mask? Predicting Segmentation Quality to Guide Semi-Supervised Learning. In Medical Image Computing and Computer-Assisted Intervention (MICCAI) Workshop on Applications of Medical AI (MICCAI AMAI), volume 000, pages 1-1, 2026. Keyword(s): Weak Supervision, Segmentation, Dermatology/Skin, Machine Learning, Deep Learning, Color/Multichannel/Vector-valued. [bibtex-key = miccai_amai2026a]



3. Kumar Abhishek and Ghassan Hamarneh. Quality-Guided Semi-Supervised Learning for Medical Image Segmentation. In Lecture Notes in Computer Science, Medical Image Computing and Computer-Assisted Intervention (MICCAI), volume 000, pages 1-11, 2026. Keyword(s): Weak Supervision, Segmentation, Dermatology/Skin, Machine Learning, Deep Learning, Color/Multichannel/Vector-valued. [bibtex-key = miccai2026]



4. Kumar Abhishek and Ghassan Hamarneh. Quality-Guided Semi-Supervised Learning for Medical Image Segmentation. In Medical Image Computing and Computer-Assisted Intervention (MICCAI) Workshop on Empowering Medical Image Computing and Research through Early-Career Expertise (MICCAI EMERGE), volume 000, pages 1-11, 2026. Keyword(s): Weak Supervision, Segmentation, Dermatology/Skin, Machine Learning, Deep Learning, Color/Multichannel/Vector-valued. [bibtex-key = miccai_emerge2026]

1. Christian Hallgrimson, Y. Lydia Li, Claire A. Shou, Ben Cardoen, John Lim, Timothy H. Wong, Ismail M. Khater, Ivan Robert Nabi, and Ghassan Hamarneh. Adversarial erasing enhanced multiple instance learning (siMILe): Discriminative identification of oligomeric protein structures in single molecule localization microscopy also appears in AISY 2026 [aisy2026]. Technical report biorxiv:2025.09.29.679377, Simon Fraser Universiry, 9 2025. Keyword(s): Super Resolution Microscopy, Single Molecule Localization Microscopy, Machine Learning, Weak Supervision, Point Cloud. [bibtex-key = biorxiv_2025_09_29_679377]



2. Ivan Robert Nabi, Ben Cardoen, Ismail M. Khater, Guang Gao, Timothy H. Wong, and Ghassan Hamarneh. AI-based analysis of super-resolution microscopy: Biological discovery in the absence of ground truth. Technical report arxiv.2305.17193, Simon Fraser Universiry, 5 2023. Keyword(s): Machine Learning, Deep Learning, Weak Supervision, Super Resolution Microscopy, Validation, Graphs/Networks, Point Cloud. [bibtex-key = arxiv:2305.17193]

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