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.



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.



3. Saeed Izadi, Isaac Shiri, Carlos Uribe, Parham Geramifar, Habib Zaidi, Arman Rahmim, and Ghassan Hamarneh. Enhanced Direct Joint Attenuation and Scatter Correction of Whole-Body PET Images via Context-Aware Deep Networks. Zeitschrift fuer Medizinische Physik, 000(000):000-000, 2024. Keyword(s): Enhancement/Restoration/Denoising, Deep Learning, Functional/Molecular/Dynamic Imaging.



4. Ivan Robert Nabi, Ben Cardoen, 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), 000(jcb.000):000-000, 000 2024. Keyword(s): Super Resolution Microscopy, Deep Learning, Machine Learning, Weak Supervision, Survey/Review.



5. 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.



6. Hanene Ben Yedder, Ben Cardoen, Majid Shokoufi, Farid Golnaraghi, and Ghassan Hamarneh. Deep Orthogonal Multi-Wavelength Fusion for Tomogram-Free Diagnosis in Diffuse Optical Imaging. Computers in Biology and Medicine (CIBM), 000:000, 2024. Keyword(s): Image Reconstruction, Machine Learning, Deep Learning.

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.



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.



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.



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.



5. Ben Cardoen, Kurt Vandevoorde, Guang Gao, Milene Ortiz-Silva, Parsa Alan, Ellie Tiliakou, William Liu, A. Wayne Vogl, Ghassan Hamarneh, and Ivan Robert Nabi. Membrane contact site detection (MCS-DETECT) reveals dual control of rough mitochondria–ER contacts (Cardoen, Vandevoorde, Gao, and Ortiz: Joint first authors; Hamarneh and Nabi: Joint senior authors). In Keystone Symposia on Molecular and Cellular Biology - Organelle Membrane Contact Sites in Health and Disease (Joint with: Mitochondria Signaling and Disease), pages 1, 2024. Keyword(s): Super Resolution Microscopy, Object Detection, Restoration, Reconstruction, Interaction.



6. Adriano D'Alessandro, Ali Mahdavi-Amiri, and Ghassan Hamarneh. AFreeCA: Annotation-Free Counting for All. In European Conference on Computer Vision (ECCV), pages 000-000, 2024. Keyword(s): Deep Learning, Counting, Ranking.



7. 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.



8. Aliasghar Khani, Saeid Asgari Taghanaki, Aditya Sanghi, Ali Mahdavi-Amiri, and Ghassan Hamarneh. SLiMe: Segment Like Me. In International Conference on Learning Representations (ICLR), 2024. Keyword(s): Deep Learning, Machine Learning, One-/Few-Shot Learning, Segmentation, Diffusion Models, Foundational Models.



9. Ashish Sinha and Ghassan Hamarneh. TrIND: Representing Anatomical Trees by Denoising Diffusion of Implicit Neural Fields. In , volume 000, pages 000-000, 2024. Keyword(s): Deep Learning, Diffusion Models, Anatomical Trees and Tubular Structures, Neural Fields, Synthesis/Simulation/Augmentation.



10. Jieyi Zheng, Ben Cardoen, Ghassan Hamarneh, and Ivan Robert Nabi. Comparison of Specificity of Confocal and Super-Resolution Approaches to Detecting Mitochondria-ER Contact Sites (Hamarneh and Nabi: Joint senior authors). In Keystone Symposia on Molecular and Cellular Biology - Organelle Membrane Contact Sites in Health and Disease (Joint with: Mitochondria Signaling and Disease), pages 1, 2024. Keyword(s): Super Resolution Microscopy, Object Detection.



11. Elise Li Zheng, Weina Jin, Ghassan Hamarneh, and Sandra Soo-Jin Lee. What does “explainable” AI explain? Power dynamics and AI explainability in precision medicine. In Congress on Ethical, Legal, and Social Implications (ELSI): AI and machine learning | Equity and justice in genetics | Precision Medicine, 2024. Keyword(s): Explainable AI, Ethical AI, Societal Implications of AI.

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.



2. 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.



3. 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.



4. Ashwin Samudre, Guang Gao, Ben Cardoen, Ivan Robert Nabi, and Ghassan Hamarneh. nERdy: network analysis of endoplasmic reticulum (Nabi and Hamarneh: Joint senior authors). Technical report biorxiv:2024.02.20.581259, 2 2024. Keyword(s): Super Resolution Microscopy, Software and Tools, Network Modelling and Analysis, Machine Learning, Deep Learning, Anatomical Trees and Tubular Structures, Synthesis/Simulation/Augmentation.



5. Ashish Sinha and Ghassan Hamarneh. TrIND: Representing Anatomical Trees by Denoising Diffusion of Implicit Neural Fields. Technical report arxiv.2403.08974, 3 2024. Keyword(s): Deep Learning, Diffusion Models, Anatomical Trees and Tubular Structures, Neural Fields, Synthesis/Simulation/Augmentation.

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