1. Kumar Abhishek, Aditi Jain, and Ghassan Hamarneh. Investigating the Quality of DermaMNIST and Fitzpatrick17k Dermatological Image Datasets. Nature - Scientific Data, 12(196):1-21, 2025. Keyword(s): Dermatology/Skin, Machine Learning, Deep Learning, Software and Tools, Datasets.



2. Ben Cardoen, Hanene Ben Yedder, Ivan Robert Nabi, and Ghassan Hamarneh. Closing the multichannel gap through computational reconstruction of interaction in superresolution microscopy. Cell Patterns, 6(5):101181, 2025. Keyword(s): Super Resolution Microscopy, Single Molecule Localization Microscopy, Network Modelling and Analysis, Deep Learning, Machine Learning, Classification, Graph based, Biomarkers/Biosignatures, Survey/Review.



3. Archita Srivastava, Mohammadreza Hajipour, Andrew Beaudin, Patrick Hanly, Eric Smith, Fréderic Series, Rebecca Robillard, John Kimoff, Jill Raneri, Ghassan Hamarneh, and Najib Ayas. Enhancing Prediction of Sleepiness, Insomnia, and Cognitive Impairment Using Machine Learning on Polysomnography. Sleep. Also appeared in the 39th annual meeting of the Associated Professional Sleep Societies (APSS) - SLEEP 2025, 48(Supplement_1):A296, 2025. Keyword(s): Apnea, Sleep, Polysomnography.



4. Timothy H. Wong, Ismail M. Khater, Christian Hallgrimson, Y. Lydia Li, Ghassan Hamarneh, and Ivan Robert Nabi. SuperResNET – single-molecule network analysis detects changes to clathrin structure induced by small-molecule inhibitors (Wong and Khater: Joint first authors; Hamarneh and Nabi: Joint senior authors). Journal of Cell Science (JCS), 138(4):1-11, 2025. Keyword(s): Super Resolution Microscopy, Single Molecule Localization Microscopy.



5. Jieyi Zheng, Ben Cardoen, Milene Ortiz-Silva1, Ghassan Hamarneh, and Ivan Robert Nabi. Comparative Analysis of SPLICS and MCS-DETECT for Detecting Mitochondria-ER Contact Sites (MERCs (Hamarneh and Nabi: Joint senior authors). Contact, 000(000):000-000, 2025. Keyword(s): Super Resolution Microscopy, Object Detection.

1. Amir Alimohammadi, Sauradip Nag, Saeid Asgari Taghanaki, Andrea Tagliasacchi, Ghassan Hamarneh, and Ali Mahdavi-Amiri. SMITE: Segment Me In TimE. In International Conference on Learning Representations (ICLR), 2025. Keyword(s): Deep Learning, Machine Learning, One-/Few-Shot Learning, Segmentation, Diffusion Models, Foundational Models, Spatio-Temporal.



2. Nourhan Bayasi, Fayyad Jamil, Ghassan Hamarneh, Rafeef Garbi, and Homayoun Najjaran. Debiasify: Self-Distillation for Unsupervised Bias Mitigation. In IEEE/CVF Winter Conference on Applications of Computer Vision (WACV), pages 000–000, 2025. Keyword(s): Classification, Dermatology/Skin, Color/Multichannel/Vector-valued, Machine Learning, Deep Learning, AI Bias and Fairness.



3. Tanya Gatsak, Kumar Abhishek, Hanene Ben Yedder, Saeid Asgari Taghanaki, and Ghassan Hamarneh. Disentangled PET Lesion Segmentation. In IEEE International Symposium on Biomedical Imaging (IEEE ISBI), 2025. Keyword(s): Enhancement/Restoration/Denoising, Deep Learning, Functional/Molecular/Dynamic Imaging, Segmentation.



4. Archita Srivastava, Mohammadreza Hajipour, Andrew Beaudin, Patrick Hanly, Eric Smith, Fréderic Series, Rebecca Robillard, John Kimoff, Jill Raneri, Ghassan Hamarneh, and Najib Ayas. Enhancing Prediction of Sleepiness, Insomnia, and Cognitive Impairment Using Machine Learning on Polysomnography. In 39th annual meeting of the Associated Professional Sleep Societies (APSS) - SLEEP 2025. Also appeared in J. Sleep 48(Supp.1)), pages A296, 2025. Keyword(s): Apnea, Sleep, Polysomnography.

1. Weina Jin, Xiaoxiao Li, and Ghassan Hamarneh. Why is plausibility surprisingly problematic as an XAI criterion?. Technical report arxiv.2303.17707, 6 2025. Keyword(s): Artificial Life, Ethical AI, Societal Implications of AI, Explainable AI (XAI), Deep Learning.



2. Weina Jin, Nicholas Vincent, and Ghassan Hamarneh. AI for Just Work: Constructing Diverse Imaginations of AI beyond Replacing Humans. Technical report arxiv.2503.08720, 6 2025. Keyword(s): Artificial Life, Ethical AI, Societal Implications of AI.

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