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. 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. [bibtex-key = biorxiv_2024_03_07_583946]



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. [bibtex-key = biorxiv_2024_03_12_584716]



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. [bibtex-key = biorxiv_2024_02_20_581259]



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. [bibtex-key = arxiv:2403.08974]

1. Ben Cardoen, Hanene Ben Yedder, Sieun Lee, Ivan Robert Nabi, and Ghassan Hamarneh. DataCurator.jl: Efficient, portable, and reproducible validation, curation, and transformation of large heterogeneous datasets using human-readable recipes compiled into machine verifiable templates. Technical report techrxiv:22060118, 2 2023. Keyword(s): Microscopy, Processing, Single Molecule Localization, Super Resolution Microscopy, Software and Tools, Reproducibility. [bibtex-key = techrxiv_22060118]



2. Ben Cardoen, Hanene Ben Yedder, Sieun Lee, Ivan Robert Nabi, and Ghassan Hamarneh. Log-Paradox: Necessary and sufficient conditions for confounding statistically significant pattern reversal under the log-transform. Technical report arxiv.2302.04780, 000 2023. Keyword(s): Microscopy, Processing, Single Molecule Localization, Super Resolution Microscopy, Software and Tools, Statistics, Geometric mean, Log-transform. [bibtex-key = arxiv:2302.04780]



3. 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]



4. Adriano D'Alessandro, Ali Mahdavi-Amiri, and Ghassan Hamarneh. SYRAC: Synthesize, Rank, and Count. Technical report arxiv.2310.01662, 10 2023. Keyword(s): Deep Learning, Counting, Ranking. [bibtex-key = arxiv:2310.01662]



5. 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]



6. Weina Jin, Jianyu Fan, Diane Gromala, Philippe Pasquier, and Ghassan Hamarneh. Invisible Users: Uncovering End-Users' Requirements for Explainable AI via Explanation Forms and Goals. Technical report arxiv.2302.06609, 2 2023. Keyword(s): Deep Learning, Explainable AI (XAI), Multimodal, Software and Tools. [bibtex-key = arxiv:2302.06609]



7. Weina Jin, Xiaoxiao Li, and Ghassan Hamarneh. The XAI Alignment Problem: Rethinking How Should We Evaluate Human-Centered AI Explainability Techniques. Technical report arxiv.2303.17707, 4 2023. Keyword(s): Explainable AI (XAI). [bibtex-key = arxiv:2303.17707]



8. Aliasghar Khani, Saeid Asgari Taghanaki, Aditya Sanghi, Ali Mahdavi-Amiri, and Ghassan Hamarneh. SLiMe: Segment Like Me. Technical report arxiv.2309.03179, 9 2023. Keyword(s): Deep Learning, Segmentation. [bibtex-key = arxiv:2309.03179]



9. 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, 5 2023. Keyword(s): Machine Learning, Deep Learning, Weak Supervision, Super Resolution Microscopy, Validation. [bibtex-key = arxiv:2305.17193]



10. 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]

1. 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]



2. Parsa Alan, Kurt Vandevoorde, Bharat Joshi, Ben Cardoen, Guang Gao, Yahya Mohammadzadeh, Ghassan Hamarneh, and Ivan Robert Nabi. Basal Gp78-dependent mitophagy promotes mitochondrial health and limits mitochondrial ROS (Alan, Vandevoorde, Joshi, and Cardoen: Joint first authors; Hamarneh and Nabi: Joint senior authors). Technical report Research Square (Preprint) 1559637, 4 2022. Keyword(s): Super Resolution Microscopy, Single Molecule Localization Microscopy, Machine Learning, Deep Learning, Image Processing, Belief Theory. [bibtex-key = research_square2022_1559637]



3. Ben Cardoen, Guang Gao, Kurt Vandevoorde, Parsa Alan, William Liu, Ghassan Hamarneh, and Ivan Robert Nabi. Automatic sub-precision membrane contact site detection identifies convoluted tubular riboMERCs (Cardoen, Gao, Vandevoorde: Joint first authors; Hamarneh and Nabi: Joint senior authors). Technical report biorxiv:2022.06.23.497346, 6 2022. Keyword(s): Super Resolution Microscopy, Single Molecule Localization Microscopy, Color/Multichannel/Vector-valued, Image Reconstruction. [bibtex-key = biorxiv_2022_06_23_497346]



4. 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]



5. Saurabh Garg, Haoyao Ruan, Ghassan Hamarneh, Dawn M. Behne, Allard Jongman, Joan Sereno, and Yue Wang. Mouth2audio: Intelligible Audio Synthesis from Videos with Distinctive Vowel Articulation. Technical report SSRN Electronic Journal 4146179, 6 2022. Keyword(s): Segmentation, Tracking, Color/Multichannel/Vector-valued, Speech and Language, Facial Analysis, Spatio-Temporal, Deep Learning. [bibtex-key = ssrn2022_4146179]



6. 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. Technical report medRxiv 2022.05.26.22275662, May 2022. Keyword(s): Enhancement/Restoration/Denoising, Deep Learning, Functional/Molecular/Dynamic Imaging. [bibtex-key = medrxiv2022_20220526]



7. Saeed Izadi, Darren Sutton, and Ghassan Hamarneh. Image Denoising in the Deep Learning Era. Technical report Research Square (Preprint) 1806416, 6 2022. Keyword(s): Deep Learning, Enhancement/Restoration/Denoising, Survey/Review. [bibtex-key = research_square2022_1806416]



8. Weina Jin, Jianyu Fan, Diane Gromala, Philippe Pasquier, and Ghassan Hamarneh. EUCA: the End-User-Centered Explainable AI Framework. Technical report arXiv:2102.02437, 2 2022. Keyword(s): Explainable AI (XAI). [bibtex-key = arxiv:2102.02437]



9. Weina Jin, Jianyu Fan, Diane Gromala, Philippe Pasquier, Xiaoxiao Li, and Ghassan Hamarneh. Transcending XAI Algorithm Boundaries through End-User-Inspired Design. Technical report arXiv:2208.08739, 8 2022. Keyword(s): Deep Learning, Explainable AI (XAI), Multimodal. [bibtex-key = arxiv:2208.08739]



10. Weina Jin, Mostafa Fatehi, Ru Guo, and Ghassan Hamarneh. Evaluating the Clinical Utility of Artificial Intelligence Assistance and its Explanation on Glioma Grading Task. Technical report medRxiv 2022.12.07.22282726, December 2022. Keyword(s): Deep Learning, Explainable AI (XAI), Multimodal. [bibtex-key = medrxiv2022_22282726]



11. Weina Jin, Xiaoxiao Li, Mostafa Fatehi, and Ghassan Hamarneh. Guidelines and evaluation for clinical explainable AI on medical image analysis. Technical report arXiv:2202.10553, 2 2022. Keyword(s): Deep Learning, Explainable AI (XAI). [bibtex-key = arxiv:2202.10553]



12. Weina Jin, Xiaoxiao Li, and Ghassan Hamarneh. Evaluating Explainable AI on a Multi-Modal Medical Imaging Task: Can Existing Algorithms Fulfill Clinical Requirements?. Technical report arXiv:2203.06487, 3 2022. Keyword(s): Deep Learning, Explainable AI (XAI), Multimodal. [bibtex-key = arxiv:2203.06487]



13. 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]



14. 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]



15. 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]



16. Darren Sutton, Zamir K. Punja, and Ghassan Hamarneh. Characterization of Trichome Phenotypes to Assess Maturation and Flower Development in Cannabis sativa L. (Cannabis) by Automatic Trichome Gland Analysis. Technical report SSRN Electronic Journal 4141209, 6 2022. Keyword(s): Agritech, Precision Agriculture, Plant Phenotyping, Trichomes, Medicinal Cannabis. [bibtex-key = ssrn2022_4141209]



17. Hanene Ben Yedder, Ben Cardoen, Majid Shokoufi, Farid Golnaraghi, and Ghassan Hamarneh. Orthogonal Multi-frequency Fusion Based Image Reconstruction and Diagnosis in Diffuse Optical Tomography. Technical report techrxiv:21574533, 11 2022. Keyword(s): Image Reconstruction, Machine Learning, Deep Learning, Diffuse Optical Tomography. [bibtex-key = techrxiv_21574533]

1. Parsa Alan, Bharat Joshi, Ben Cardoen, Kurt Vandevoorde, Guang Gao, Yahya Mohammadzadeh, Ghassan Hamarneh, and Ivan Robert Nabi. Gp78-mediated basal mitophagy promotes mitochondrial health and limits mitochondrial ROS production (Alan, Joshi, Cardoen, and Vandevoorde: Joint first authors; Hamarneh and Nabi: Joint senior authors). Technical report biorxiv:2021.09.17.460825, 9 2021. Keyword(s): Super Resolution Microscopy, Image Processing, Belief Theory. [bibtex-key = biorxiv_2021_09_17_460825]



2. 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]

1. 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]



2. 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]



3. 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]



4. Ben Cardoen and Ghassan Hamarneh. Introduction to Causality. Technical report SFU-Summit-20939, 12 2020. Keyword(s): Machine Learning, Deep Learning, Causality. [bibtex-key = sfu_summit_cardoen_2021a]



5. Ben Cardoen, Timothy H. Wong, Parsa Alan, Sieun Lee, Joanne Aiko Matsubara, Ivan Robert Nabi, and Ghassan Hamarneh. SPECHT: Self-tuning Plausibility Based Object Detection Enables Quantification of Conflict in Heterogeneous Multi-scale Microscopy (Nabi and Hamarneh: Joint senior authors). Technical report techrxiv:12971051, 9 2020. Keyword(s): Super Resolution Microscopy, Single Molecule Localization Microscopy, Machine Learning, Processing, Belief Theory, Object Detection, Datasets. [bibtex-key = techrxiv_12971051]



6. Saeed Izadi and Ghassan Hamarneh. Patch-based Non-Local Bayesian Networks for Blind Confocal Microscopy Denoising. Technical report arxiv:2003.11177, 3 2020. Keyword(s): Microscopy, Enhancement/Restoration/Denoising, Machine Learning, Deep Learning. [bibtex-key = arxiv:2003.11177]



7. Ivan Klyuzhin, Yixi Xu, Anthony Ortiz, Juan Lavista Ferres, Ghassan Hamarneh, and Arman Rahmim. Testing the Ability of Convolutional Neural Networks to Learn Radiomic Features. Technical report medrxiv:20198077, September 2020. Keyword(s): Deep Learning, Machine Learning, Radiomics, Functional/Molecular/Dynamic Imaging. [bibtex-key = medrxiv2020_20198077]



8. Rory Long, Kathleen Moriarty, Ben Cardoen, Guang Gao, A. Wayne Vogl, François Jean, Ghassan Hamarneh, and Ivan Robert Nabi. Super Resolution Microscopy and Deep Learning Identify Zika Virus Reorganization of the Endoplasmic Reticulum (Long and Moriarty: Joint first authors; Hamarneh and Nabi: Joint senior authors. Technical report biorxiv:091611, 5 2020. Keyword(s): Super Resolution Microscopy, Single Molecule Localization Microscopy, Machine Learning, Deep Learning. [bibtex-key = biorxiv_2020_091611]



9. 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]



10. Hanene Ben Yedder, Ben Cardoen, and Ghassan Hamarneh. Deep Learning for Biomedical Image Reconstruction: A Survey. Technical report arxiv:2002.12351, 2 2020. Keyword(s): Image Reconstruction, Machine Learning, Deep Learning, Survey/Review. [bibtex-key = arxiv:2002.12351]



11. Hanene Ben Yedder, Ben Cardoen, Majid Shokoufi, Farid Golnaraghi, and Ghassan Hamarneh. Multitask Deep Learning Reconstruction and Localization of Lesions in Limited Angle Diffuse Optical Tomography. Technical report techrxiv:13150805, 10 2020. Keyword(s): Image Reconstruction, Machine Learning, Deep Learning, Synthesis/Simulation/Augmentation, Diffuse Optical Tomography. [bibtex-key = techrxiv_13150805]

1. 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]



2. Shahab Aslani, Vittorio Murino, Michael Dayan, Roger Tam, Diego Sona, and Ghassan Hamarneh. Scanner Invariant Multiple Sclerosis Lesion Segmentation from MRI. Technical report arxiv:1910.10035, 10 2019. Keyword(s): Segmentation, Machine Learning, Deep Learning, Multiple Sclerosis, MRI. [bibtex-key = arxiv:1910.10035]



3. Aicha BenTaieb and Ghassan Hamarneh. Deep Learning Models for Digital Pathology. Technical report arxiv:1910.12329, 10 2019. Keyword(s): Color/Multichannel/Vector-valued, Machine Learning, Microscopy, Deep Learning, Generative Adversarial Network, Survey/Review. [bibtex-key = arxiv:1910.12329]



4. Saeed Izadi, Darren Sutton, and Ghassan Hamarneh. Image Super Resolution via Bilinear Pooling: Application to Confocal Endomicroscopy. Technical report arxiv:1906.07802, 6 2019. Keyword(s): Microscopy, Super Resolution, Enhancement/Restoration/Denoising, Machine Learning, Deep Learning. [bibtex-key = arxiv:1906.07802]



5. 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]



6. 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]



7. Ismail M. Khater, Stephane Aroca-Ouellette, Fanrui Meng, Ivan Robert Nabi, and Ghassan Hamarneh. Caveolae and scaffold detection from single molecule localization microscopy data using deep learning. Technical report biorxiv:495382, 1 2019. Keyword(s): Super Resolution Microscopy, Single Molecule Localization Microscopy, Machine Learning, Deep Learning, Network Modelling and Analysis, Machine Learning. [bibtex-key = biorxiv_2019_526327]



8. Zahra Mirikharaji, Yiqi Yan, and Ghassan Hamarneh. Learning to Segment Skin Lesions from Noisy Annotations. Technical report arxiv:1906.03815, 6 2019. Keyword(s): Machine Learning, Deep Learning, Segmentation. [bibtex-key = arxiv:1906.03815]



9. Anmol Sharma and Ghassan Hamarneh. Missing MRI Pulse Sequence Synthesis using Multi-Modal Generative Adversarial Network. Technical report arxiv:1904.12200, 4 2019. Keyword(s): Glioma Imaging, Machine Learning, Deep Learning, Generative Adversarial Network, Multimodal. [bibtex-key = arxiv:1904.12200]



10. 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]



11. 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]



12. 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]



13. Saeid Asgari Taghanaki, Mohammad Havaei, Tess Berthier, Francis Dutil, Lisa Di Jorio, Ghassan Hamarneh, and Yoshua Bengio. InfoMask: Masked Variational Latent Representation to Localize Chest Disease. Technical report arxiv:1903.11741, 3 2019. Keyword(s): Machine Learning, Deep Learning. [bibtex-key = arxiv:1903.11741]

1. Ismail M. Khater, Qian Liu, Keng C. Chou, Ghassan Hamarneh, and Ivan Robert Nabi. Super-resolution modularity analysis shows that polyhedral caveolin-1 oligomers combine to form scaffolds and caveolae. Technical report biorxiv:495382, 12 2018. Keyword(s): Super Resolution Microscopy, Single Molecule Localization Microscopy, Network Modelling and Analysis, Machine Learning. [bibtex-key = biorxiv_2018_495382]



2. Saeid Asgari Taghanaki, Aicha BenTaieb, Anmol Sharma, S. Kevin Zhou, Yefeng Zheng, Bogdan Georgescu, Puneet Sharma, Sasa Grbic, Zhoubing Xu, Dorin Comaniciu, and Ghassan Hamarneh. Select, Attend, and Transfer: Light, Learnable Skip Connections. Technical report arxiv:1703.04559, 4 2018. Keyword(s): Machine Learning, Deep Learning, Segmentation. [bibtex-key = arxiv:1804.05181]



3. Saeid Asgari Taghanaki, Yefeng Zheng, S. Kevin Zhou, Bogdan Georgescu, Puneet Sharma, Daguang Xu, Dorin Comaniciu, and Ghassan Hamarneh. Combo Loss: Handling Input and Output Imbalance in Multi-Organ Segmentation. Technical report arxiv:1703.04559, 5 2018. Keyword(s): Machine Learning, Deep Learning, Segmentation. [bibtex-key = arxiv:1805.02798]

1. 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]

1. Shawn Andrews and Ghassan Hamarneh. Adaptable Precomputation for Random Walker Image Segmentation and Registration. Technical report arxiv:1607.04174, 7 2016. Keyword(s): Segmentation, Registration and Matching, Optimization, Uncertainty. [bibtex-key = arxiv:1607.04174]



2. Colin J. Brown and Ghassan Hamarneh. Machine Learning on Human Connectome Data from MRI. Technical report arxiv:1611.08699, 11 2016. Keyword(s): Survey/Review, Machine Learning, Connectome, Diffusion MRI/Tensor-valued. [bibtex-key = arxiv:1611.08699]



3. Masoud Nosrati and Ghassan Hamarneh. Incorporating prior knowledge in medical image segmentation: a survey. Technical report arxiv:1607.01092, 7 2016. Keyword(s): Survey/Review, Diffusion MRI/Tensor-valued, Segmentation, Optimization. [bibtex-key = arxiv:1607.01092]

1. Shawn Andrews and Ghassan Hamarneh. Multi-Region Probabilistic Dice Similarity Coefficient using the Aitchison Distance and Bipartite Graph Matching. Technical report arxiv:1509.07244, 9 2015. Keyword(s): Segmentation, Validation, Graph based, Registration and Matching. [bibtex-key = arxiv:1509.07244]

1. Shawn Andrews, Chris McIntosh, and Ghassan Hamarneh. Convex Multi-Region Probabilistic Segmentation with Shape Prior in the Isometric Logratio Transformation Space. Technical report TR 2011-03, School of Computing Science, Simon Fraser University, Burnaby, BC, Canada, July 2011. Keyword(s): Optimization, Segmentation, Uncertainty. [bibtex-key = sfu_cs2011_03]



2. Ghassan Hamarneh. The Optimizability-Fidelty Trade-Off in Image Analysis. Technical report SFU-Summit-10897, School of Computing Science, Simon Fraser University, Burnaby, BC, Canada, 9 2011. Keyword(s): Optimization, Segmentation, Registration and Matching. [bibtex-key = scia2011_g4a2011]

1. Shawn Andrews, Ghassan Hamarneh, and Ahmed Saad. Fast Random Walker with Priors using Precomputation for Interactive Medical Image Segmentation. Technical report TR 2010-07, School of Computing Science, Simon Fraser University, Burnaby, BC, Canada, 6 2010. Keyword(s): Segmentation, Graph based, Fast MIA. [bibtex-key = sfu_cs2010_07]



2. Neda Changizi and Ghassan Hamarneh. Probabilistic Multi-Shape Representation using an Isometric Log-Ratio Mapping. Technical report TR 2010-05, School of Computing Science, Simon Fraser University, Burnaby, BC, Canada, 4 2010. Keyword(s): Shape Modelling and Analysis, Uncertainty. [bibtex-key = sfu_cs2010_05]



3. 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]



4. Josna Rao, Rafeef Abugharbieh, and Ghassan Hamarneh. Adaptive Regularization for Image Segmentation Using Local Image Curvature Cues. Technical report TR 2010-08, School of Computing Science, Simon Fraser University, Burnaby, BC, Canada, 6 2010. Keyword(s): Segmentation, Graph based. [bibtex-key = sfu_cs2010_08]

1. Ryan Dickie, Ghassan Hamarneh, and Rafeef Abugharbieh. Live-vessel: Interactive vascular image segmentation with simultaneous extraction of optimal medial and boundary paths. Technical report TR 2009-23, School of Computing Science, Simon Fraser University, Burnaby, BC, Canada, 11 2009. Keyword(s): Segmentation, Anatomical Trees and Tubular Structures, Color/Multichannel/Vector-valued, Optimization, Software and Tools, User Interaction, Medial-based Shape Representation, Graph based, Bifurcation/Junction. [bibtex-key = sfu_cs2009_23]



2. Ghassan Hamarneh. Multi-Label MRF Optimization via Least Squares s-t Cuts. Technical report arxiv:0907.0204, 7 2009. Keyword(s): Optimization, Segmentation, Graph based. [bibtex-key = arxiv:0907.0204]



3. Ghassan Hamarneh. Multi-Label MRF Optimization via Least Squares s-t Cuts. Technical report TR 2009-08, School of Computing Science, Simon Fraser University, Burnaby, BC, Canada, 4 2009. Keyword(s): Optimization, Segmentation, Graph based. [bibtex-key = sfu_cs2009_08]



4. Ghassan Hamarneh and Neda Changizi. Barycentric Label Space. Technical report TR 2009-13, School of Computing Science, Simon Fraser University, Burnaby, BC, Canada, 4 2009. Keyword(s): Shape Modelling and Analysis, Uncertainty. [bibtex-key = sfu_cs2009_13]



5. Ghassan Hamarneh, Chris McIntosh, and Mark S. Drew. Perception-based Visualization of High-Dimensional Medical Images Using Distance Preserving Dimensionality Reduction. Technical report TR 2009-22, School of Computing Science, Simon Fraser University, Burnaby, BC, Canada, 11 2009. Keyword(s): Color/Multichannel/Vector-valued, Visualization, Diffusion MRI/Tensor-valued, Functional/Molecular/Dynamic Imaging. [bibtex-key = sfu_cs2009_22]



6. Chris McIntosh and Ghassan Hamarneh. Optimal Weights in Convex Functionals: Taking the Guesswork Out of Segmentation. Technical report TR 2009-14, School of Computing Science, Simon Fraser University, Burnaby, BC, Canada, 6 2009. Keyword(s): Optimization, Segmentation. [bibtex-key = sfu_cs2009_14]



7. Josna Rao, Ghassan Hamarneh, and Rafeef Abugharbieh. Automatic Spatially-Adaptive Balancing of Energy Terms for Image Segmentation. Technical report arxiv:0906.4131, 6 2009. Keyword(s): Segmentation, Graph based. [bibtex-key = arxiv:0906.4131]



8. Josna Rao, Ghassan Hamarneh, and Rafeef Abugharbieh. Automatic Spatially-Adaptive Balancing of Energy Terms for Image Segmentation. Technical report TR 2009-10, School of Computing Science, Simon Fraser University, Burnaby, BC, Canada, 4 2009. Keyword(s): Optimization, Segmentation. [bibtex-key = sfu_cs2009_10]

1. Aaron Ward and Ghassan Hamarneh. GMAT: The Groupwise Medial Axis Transform for Fuzzy Skeletonization and Intelligent Pruning. Technical report TR 2008-07, School of Computing Science, Simon Fraser University, Burnaby, BC, Canada, 3 2008. Keyword(s): Shape Modelling and Analysis, Medial-based Shape Representation. [bibtex-key = sfu_cs2008_07]

1. Ghassan Hamarneh and Tim McInerney. Physics-Based Shape Deformations for Medical Image Analysis. Technical report CSRG-436, Department of Computer Science, University of Toronto, Toronto, ON, Canada, 2001. Keyword(s): Shape Modelling and Analysis, Medial-based Shape Representation, Deformable Models. [bibtex-key = csrg2001_436]



2. Ghassan Hamarneh, Tim McInerney, and Demetri Terzopoulos. Intelligent Deformable Organisms: An ALife Approach to Medical Image Analysis. Technical report CSRG-432, Department of Computer Science, University of Toronto, Toronto, ON, Canada, 2001. Keyword(s): Segmentation, Deformable Organisms, Artificial Life. [bibtex-key = csrg2001_432]

1. Ghassan Hamarneh. Digital Image Analysis of Fundus Photographs on the WWW. Technical report R002/1999 (S2-IAG-99-1), Department of Signals and Systems, School of Electrical and Computer Engineering, Chalmers University of Technology, Goteborg, Sweden, 2 1999. Keyword(s): Software and Tools. [bibtex-key = s2iag1999_1]

1. Ghassan Hamarneh. Active Shape Models, Modeling Shape Variations and Gray Level Information and an Application to Image Search and Classification. Technical report R005/1998 (S2-IAG-98-1), Department of Signals and Systems, School of Electrical and Computer Engineering, Chalmers University of Technology, Goteborg, Sweden, 9 1998. Keyword(s): Segmentation, Shape Modelling and Analysis, Deformable Models. [bibtex-key = s2iag1998_1]

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