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Publications about 'Microscopy'
Thesis
  1. Ismail Khater. Machine Learning and Network Analysis for Macromolecular Structure Determination from Super-resolution Microscopy. Doctoral Thesis, School of Computing Science, Faculty of Applied Sciences, Simon Fraser University, September 2019. [bibtex-key = phd2019khater]


Articles in journal, book chapters
  1. 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). The Journal Of Cell Biology (JCB), 1(jcb.202206109):000-000, 11 2023. Keyword(s): Super Resolution Microscopy, Object Detection, Restoration, Reconstruction, Interaction. [bibtex-key = jcb2023]


  2. 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. BioInformatics Advances, 3(1-5):000-000, 2023. Keyword(s): Microscopy, Processing, Single Molecule Localization, Super Resolution Microscopy, Software and Tools, Reproducibility. [bibtex-key = bioinfadv2023]


  3. Parsa Alan, Bharat Joshi, Ben Cardoen, Kurt Vandevoorde, Guang Gao, Peter Overby, James D. Johnson, Ghassan Hamarneh, and Ivan Robert Nabi. Basal Gp78-dependent mitophagy promotes mitochondrial health and limits mitochondrial ROS (Alan, Joshi, Cardoen, and Vandevoorde: Joint first authors; Hamarneh and Nabi: Joint senior authors). Cellular and Molecular Life Sciences (CMLS), 79(565):1-20, 2022. Keyword(s): Super Resolution Microscopy, Image Processing, Belief Theory. [bibtex-key = cmls2022]


  4. 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). PLOS ONE, 17(12):e0276726, 2022. Keyword(s): Super Resolution Microscopy, Machine Learning, Classification, Belief Theory, Biomarkers/Biosignatures, Generalizability. [bibtex-key = plosone2022]


  5. Saeed Izadi and Ghassan Hamarneh. AECNN: Adversarial and Enhanced Convolutional Neural Networks (Chapter 7). Computer-Aided Analysis of Gastrointestinal Videos, pp 59-62, 2021. ISBN: 978-3-030-64339-3. Keyword(s): Segmentation, Deep Learning, Generative Adversarial Network, Microscopy. [bibtex-key = caagv2021]


  6. Timothy H. Wong, Ismail M. Khater, Bharat Joshi, Mona Shahsavari, Ghassan Hamarneh, and Ivan Robert Nabi. Single molecule network analysis identifies structural changes to caveolae and scaffolds due to mutation of the caveolin-1 scaffolding domain (Wong and Khater: Joint first authors; Hamarneh and Nabi: Joint senior authors). Nature - Scientific Reports, 11(7810):1-14, 2021. Keyword(s): Super Resolution Microscopy, Single Molecule Localization Microscopy, Machine Learning. [bibtex-key = nature_sr2021]


  7. Ben Cardoen, Hanene Ben Yedder, Anmol Sharma, Keng C. Chou, Ivan Robert Nabi, and Ghassan Hamarneh. ERGO: Efficient Recurrent Graph Optimized Emitter Density Estimation in Single Molecule Localization Microscopy. IEEE Transactions on Medical Imaging (IEEE TMI), 39(6):1942-1956, 2020. Keyword(s): Super Resolution Microscopy, Single Molecule Localization Microscopy, Machine Learning. [bibtex-key = tmi2020]


  8. Ismail M. Khater, Ivan Robert Nabi, and Ghassan Hamarneh. A Review of Super-resolution Single Molecule Localization Microscopy Cluster Analysis and Quantification Methods. Cell Patterns, 1(3):2666-3899, 2020. Keyword(s): Super Resolution Microscopy, Single Molecule Localization Microscopy, Network Modelling and Analysis, Deep Learning, Machine Learning, Classification, Graph based, Biomarkers/Biosignatures, Survey/Review. [bibtex-key = cellpatterns2020]


  9. 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). Nature - Scientific reports, 10(20937):1-18, 2020. Keyword(s): Super Resolution Microscopy, Single Molecule Localization Microscopy, Machine Learning, Deep Learning. [bibtex-key = nature_sr2020a]


  10. 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. PLOS ONE, 14(8):1-17, 2019. Keyword(s): Super Resolution Microscopy, Single Molecule Localization Microscopy, Network Modelling and Analysis, Deep Learning, Machine Learning, Classification, Graph based, Biomarkers/Biosignatures. [bibtex-key = plosone2019]


  11. Ismail M. Khater, Qian Liu, Keng C. Chou, Ghassan Hamarneh, and Ivan Robert Nabi. Super-resolution modularity analysis shows polyhedral caveolin-1 oligomers combine to form scaffolds and caveolae. Nature - Scientific reports, 9(9888):1-10, 2019. Keyword(s): Super Resolution Microscopy, Single Molecule Localization Microscopy, Network Modelling and Analysis, Machine Learning. [bibtex-key = nature_sr2019]


  12. Ismail M. Khater, Fanrui Meng, Ivan Robert Nabi, and Ghassan Hamarneh. Identification of Caveolin-1 Domain Signatures via Graphlet Analysis of Single Molecule Super-Resolution Data. Bioinformatics, 35(18):3468-3475, 2019. Keyword(s): Super Resolution Microscopy, Single Molecule Localization Microscopy, Network Modelling and Analysis, Machine Learning, Graphlets, Graph based, Biomarkers/Biosignatures. [bibtex-key = bioinformatics2019]


  13. Aicha BenTaieb and Ghassan Hamarneh. Adversarial Stain Transfer for Histopathology Image Analysis. IEEE Transactions on Medical Imaging (IEEE TMI), 37(3):792-802, 2018. Keyword(s): Color/Multichannel/Vector-valued, Machine Learning, Microscopy, Deep Learning, Generative Adversarial Network. [bibtex-key = tmi2018]


  14. Ismail M. Khater, Fanrui Meng, Timothy H. Wong, Ivan Robert Nabi, and Ghassan Hamarneh. Super Resolution Network Analysis Defines the Molecular Architecture of Caveolae and Caveolin-1 Scaffolds. Nature - Scientific reports, 8(9009):1-15, 2018. Keyword(s): Super Resolution Microscopy, Single Molecule Localization Microscopy, Network Modelling and Analysis, Machine Learning. [bibtex-key = nature_sr2018]


  15. Aicha BenTaieb, Hector Li-Chang, David Huntsman, and Ghassan Hamarneh. A Structured Latent Model for Ovarian Carcinoma Subtyping from Histopathology Slides. Medical Image Analysis (MedIA), 39:194-205, 2017. Keyword(s): Color/Multichannel/Vector-valued, Machine Learning, Microscopy, Deep Learning, Datasets. [bibtex-key = media2017]


  16. Aicha BenTaieb, Masoud Nosrati, Hector Li-Chang, David Huntsman, and Ghassan Hamarneh. Clinically-Inspired Automatic Classification of Ovarian Carcinoma Subtypes. Journal of Pathology Informatics, 7(1):1-28, 2016. Keyword(s): Color/Multichannel/Vector-valued, Machine Learning, Microscopy. [bibtex-key = jpi2016]


Conference articles
  1. 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. [bibtex-key = ksmcb2024a]


  2. 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. [bibtex-key = ksmcb2024b]


  3. Parsa Alan, Bharat Joshi, Ben Cardoen, Kurt Vandevoorde, Guang Gao, Peter Overby, James D. Johnson, Ghassan Hamarneh, and Ivan Robert Nabi. Basal Gp78-dependent mitophagy promotes mitochondrial health and limits mitochondrial ROS (Alan, Joshi, Cardoen, and Vandevoorde: Joint first authors; Hamarneh and Nabi: Joint senior authors). In American Society of Cell Biology (ASCB) - Cell Bio, 2022. Keyword(s): Super Resolution Microscopy, Image Processing, Belief Theory. [bibtex-key = ascb2022c]


  4. Parsa Alan, Kurt Vandevoorde, Bharat Joshi, Ben Cardoen, Guang Goa, Ghassan Hamarneh, and Ivan Robert Nabi. Basal Gp78-dependent mitophagy promotes mitochondrial health and limits mitochondrial ROS. In UBC SBME 2022, 2022. Keyword(s): Super Resolution Microscopy, Image Processing, Belief Theory. [bibtex-key = sbme2022]


  5. Ben Cardoen, Kurt Vandevoorde, Guang Gao, Parsa Alan, Ellie Tiliakou, William Liu, A. Wayne Vogl, Ghassan Hamarneh, and Ivan Robert Nabi. A novel sub-precision detection method (MCS-DETECT) identifies shape complexity of mitochondria-ER contacts (MERCs) in 3D STED super-resolution microscopy (Cardoen, Vandervoorde, and Gao: Joint first authors; Hamarneh and Nabi: Joint senior authors). In American Society of Cell Biology (ASCB) - Cell Bio, 2022. Keyword(s): Object Detection, Super Resolution Microscopy. [bibtex-key = ascb2022a]


  6. Ismail M. Khater, Ivan Robert Nabi, and Ghassan Hamarneh. HDCluster: High-Degree Graph-Based Clustering Algorithm and its Application to Single Molecule Localization Microscopy. In Single Molecule Localization Microscopy Symposium, pages 1, 2022. Keyword(s): Super Resolution Microscopy, Single Molecule Localization Microscopy, Network Modelling and Analysis, Clustering. [bibtex-key = smlms2022]


  7. Ismail M. Khater, Timothy H. Wong, Christian Hallgrimson, Satish Moparthi, Stéphane Vassilopoulos, Ghassan Hamarneh, and Ivan Robert Nabi. Molecular architecture of clathrin plaques and pits defined by super-resolution network analysis (SuperResNET) (Khater and Wong: Joint first authors; Hamarneh and Nabi: Joint senior authors). In American Society of Cell Biology (ASCB) - Cell Bio, 2022. Keyword(s): Super Resolution Microscopy, Single Molecule Localization Microscopy, Software and Tools, Network Modelling and Analysis, Machine Learning. [bibtex-key = ascb2022b]


  8. Mayur Mallya and Ghassan Hamarneh. Deep Multimodal Guidance for Medical Image Classification. In Lecture Notes in Computer Science, Medical Image Computing and Computer-Assisted Intervention (MICCAI), volume 13437, pages 298–308, 2022. Keyword(s): Dermatology, Deep Learning, MRI, Microscopy, Multimodal. [bibtex-key = miccai2022]


  9. Ben Cardoen and Ghassan Hamarneh. Learning to look beyond what we can see: Leveraging statistical learning to improve scientific discovery from fluorescence microscopy. In Biomedical Imaging and Artificial Intelligence (BMIAI) cluster Fall Research Showcase, Vancouver, Canada, pages 1, 2021. Keyword(s): Super Resolution Microscopy, Single Molecule Localization Microscopy, Machine Learning, Deep Learning, Processing, Belief Theory. [bibtex-key = bmiai2021a]


  10. Ben Cardoen, Timothy H. Wong, Parsa Alan, Sieun Lee, Joanne Aiko Matsubara, Ivan Robert Nabi, and Ghassan Hamarneh. Self-tuning Weakly Supervised Object Detection (SPECHT) of Sub-Diffraction Limited Caveolae and Scaffold and Amyloid-Beta Deposits. In American Society of Cell Biology -- Cell Bio 2021, 2021. Keyword(s): Object Detection, Super Resolution Microscopy, Belief Theory, Datasets. [bibtex-key = cellbio2021]


  11. Ben Cardoen, Timothy H. Wong, Ivan Robert Nabi, and Ghassan Hamarneh. Belief theory enables detection of Caveolae in superresolution microscopy.. In Microscopy Societies Symposium - Advanced Imaging and Analysis at Nanoscale, November 2021. Keyword(s): Object Detection, Super Resolution Microscopy, Belief Theory. [bibtex-key = jsm2021]


  12. Ismail M. Khater, Timothy H. Wong, Stéphane Vassilopoulos, Ivan Robert Nabi, and Ghassan Hamarneh. SuperResNET: a GUI software package for single molecule localization microscopy cluster analysis (Nabi and Hamarneh: Joint senior authors). In Single Molecule Localization Microscopy Symposium - Current Trends, pages 1, 2021. Keyword(s): Super Resolution Microscopy, Single Molecule Localization Microscopy, Software and Tools, Network Modelling and Analysis, Machine Learning. [bibtex-key = smlms2021]


  13. Ben Cardoen, Timothy H. Wong, Parsa Alan, Sieun Lee, Joanne Aiko Matsubara, Ivan Robert Nabi, and Ghassan Hamarneh. Automatic identification of protein complexes in multi-scale microscopy with applications tometastasis and Alzheimer disease. In The 2nd Annual Tri-Cluster Research Day, Canada, pages 1, 2020. Keyword(s): Super Resolution Microscopy, Single Molecule Localization Microscopy, Machine Learning, Processing, Belief Theory. [bibtex-key = tricluster2020b]


  14. Ben Cardoen, Timothy H. Wong, Parsa Alan, Sieun Lee, Joanne Aiko Matsubara, Ivan Robert Nabi, and Ghassan Hamarneh. Belief theory enables identification of protein complexes in multi-scale microscopy with applications to metastasis and Alzheimer disease. In Centre for Artificial Intelligence Decision-making and Action (CAIDA), BC's AI Showcase, Canada, pages 1, 2020. Keyword(s): Super Resolution Microscopy, Single Molecule Localization Microscopy, Machine Learning, Processing, Belief Theory. [bibtex-key = caida2020b]


  15. Saeed Izadi and Ghassan Hamarneh. Patch-based Non-Local Bayesian Networks for Blind Confocal Microscopy Denoising. In Lecture Notes in Computer Science, Medical Image Computing and Computer-Assisted Intervention (MICCAI), volume 12265, pages 46–55, 2020. Keyword(s): Microscopy, Enhancement/Restoration/Denoising, Machine Learning, Deep Learning. [bibtex-key = miccai2020]


  16. Ismail M. Khater, Ivan Robert Nabi, and Ghassan Hamarneh. SuperNet: Super-resolution Network Analysis and Quantification of Single Molecule Clusters. In Single Molecule Localization Microscopy Symposium - Showtime, pages 1, 2020. Keyword(s): Super Resolution Microscopy, Single Molecule Localization Microscopy, Software and Tools, Network Modelling and Analysis, Machine Learning. [bibtex-key = smlms2020]


  17. Ben Cardoen, Fiona Dickson, Ismail M. Khater, Ivan Robert Nabi, and Ghassan Hamarneh. Interaction zone analysis of CAV1 - CAVIN1 in breast cancer cells. In European Molecular Biology Organization EMBO Workshop Caveolae and nanodomains: Translating structural principles and dynamics into function, Le Pouliguen, France, pages 1, 2019. Keyword(s): Super Resolution Microscopy, Single Molecule Localization Microscopy, Machine Learning. [bibtex-key = embo2019a]


  18. Saeed Izadi, Zahra Mirikharaji, Mengliu Zhao, and Ghassan Hamarneh. WhiteNNer - Blind Image Denoising via Noise Whiteness Priors. In International Conference on Computer Vision workshop on Visual Recognition for Medical Images (ICCV VRMI), pages 476-484, 2019. Keyword(s): Microscopy, Enhancement/Restoration/Denoising, Machine Learning, Deep Learning. [bibtex-key = iccv_vrmi2019b]


  19. Saeed Izadi, Darren Sutton, and Ghassan Hamarneh. Image Super Resolution via Bilinear Pooling: Application to Confocal Endomicroscopy. In Medical Image Computing and Computer-Assisted Intervention Workshop on Machine Learning for Medical Image Reconstruction (MICCAI MLMIR), volume 11905, pages 236-244, 2019. Keyword(s): Microscopy, Super Resolution, Enhancement/Restoration/Denoising, Machine Learning, Deep Learning. [bibtex-key = miccai_mlmir2019]


  20. Ismail M. Khater, Ivan Robert Nabi, and Ghassan Hamarneh. Identification of Cav1 Domains Using Super Resolution Microscopy and Machine Learning. In European Molecular Biology Organization EMBO Workshop Caveolae and nanodomains: Translating structural principles and dynamics into function, Le Pouliguen, France, pages 1, 2019. Keyword(s): Super Resolution Microscopy, Single Molecule Localization Microscopy, Network Modelling and Analysis, Machine Learning. [bibtex-key = embo2019b]


  21. Timothy H. Wong, Mona Shahsavari, Ismail M. Khater, Bharat Joshi, Ghassan Hamarneh, and Ivan Robert Nabi. Super Resolution Microscopy Identification of Focal Adhesion-Associated Caveolin-1 Domains (Wong and Shahsavari: Joint first authors). In European Molecular Biology Organization EMBO Workshop Caveolae and nanodomains: Translating structural principles and dynamics into function, Le Pouliguen, France, pages 1, 2019. Keyword(s): Super Resolution Microscopy, Single Molecule Localization Microscopy, Network Modelling and Analysis. [bibtex-key = embo2019c]


  22. Aicha BenTaieb and Ghassan Hamarneh. Predicting Cancer with a Recurrent Visual Attention Model for Histopathology Images. In Lecture Notes in Computer Science, Medical Image Computing and Computer-Assisted Intervention (MICCAI), volume 11071, pages 129-137, 2018. Keyword(s): Color/Multichannel/Vector-valued, Machine Learning, Microscopy, Deep Learning. [bibtex-key = miccai2018b]


  23. Saeed Izadi, Kathleen Moriarty, and Ghassan Hamarneh. Can Deep Learning Relax Endomicroscopy Hardware Miniaturization Requirements?. In Lecture Notes in Computer Science, Medical Image Computing and Computer-Assisted Intervention (MICCAI), volume 11070, pages 57-64, 2018. Keyword(s): Microscopy, Super Resolution, Enhancement/Restoration/Denoising, Machine Learning, Deep Learning. [bibtex-key = miccai2018c]


  24. Ismail M. Khater, Qian Liu, Keng C. Chou, Ghassan Hamarneh, and Ivan Robert Nabi. Modular Structure of Caveolin-1 Scaffolds and Caveolae Identified by Single Molecule Localization Microscopy. In American Society for Cell Biology and European Molecular Biology Organization (ASCB-EMBO), San Diego, USA, pages 1343 (Abstract P2707), 2018. Keyword(s): Super Resolution Microscopy, Single Molecule Localization Microscopy, Network Modelling and Analysis, Machine Learning, Graph based. [bibtex-key = ascb2018b]


  25. Ismail M. Khater, Fanrui Meng, Ivan Robert Nabi, and Ghassan Hamarneh. Caveolin-1 Domain Characterization Using Machine Learning and Graphlet Analysis of Single Molecule Super Resolution Microscopy. In American Society for Cell Biology and European Molecular Biology Organization (ASCB-EMBO), San Diego, USA, pages 1342 (Abstract P2706), 2018. Keyword(s): Super Resolution Microscopy, Single Molecule Localization Microscopy, Network Modelling and Analysis, Machine Learning, Graphlets, Graph based, Biomarkers/Biosignatures. [bibtex-key = ascb2018a]


  26. Ismail M. Khater, Fanrui Meng, Ivan Robert Nabi, and Ghassan Hamarneh. Characterization of caveolin-1 domains via graphlet decomposition of SMLM super resolution data. In Genesis BME day, Vancouver, Canada, pages 1, 2018. Keyword(s): Super Resolution Microscopy, Single Molecule Localization Microscopy, Network Modelling and Analysis, Machine Learning, Graphlets, Graph based, Biomarkers/Biosignatures. [bibtex-key = bme2018]


  27. Aicha BenTaieb and Ghassan Hamarneh. Artificial Pathologists: Machine Learning Models for Histopathology. In Annual SFU Health Research Day - Women's Health Research Symposium, 2017. Keyword(s): Color/Multichannel/Vector-valued, Machine Learning, Microscopy, Deep Learning. [bibtex-key = sfu_health2017]


  28. Aicha BenTaieb and Ghassan Hamarneh. Topology Aware Fully Convolutional Networks For Histology Gland Segmentation. In 2nd Annual Health Technology Symposium, Vancouver, Canada, pages 1, 2017. Keyword(s): Color/Multichannel/Vector-valued, Machine Learning, Microscopy, Deep Learning. [bibtex-key = healthtech2017a]


  29. Aicha BenTaieb and Ghassan Hamarneh. Uncertainty Driven Multi-Loss Fully Convolutional Networks for Histopathology. In Medical Image Computing and Computer-Assisted Intervention Workshop on Large-scale Annotation of Biomedical data and Expert Label Synthesis (MICCAI LABELS), volume 10552, pages 155-163, 2017. Keyword(s): Color/Multichannel/Vector-valued, Machine Learning, Microscopy, Deep Learning. [bibtex-key = miccai_labels2017a]


  30. Ismail M. Khater, Youtao Liu, Qian Liu, Fanrui Meng, Keng C. Chou, Ivan Robert Nabi, and Ghassan Hamarneh. Distinguishing Biological and Non-Biological Networks in Single Molecule Localization Super Resolution Microscopy. In American Society for Cell Biology and European Molecular Biology Organization (ASCB-EMBO), Philadelphia, USA, pages 1, 2017. Keyword(s): Super Resolution Microscopy, Single Molecule Localization Microscopy, Network Modelling and Analysis, Machine Learning. [bibtex-key = ascb2017]


  31. Ismail M. Khater, Fanrui Meng, Ivan Robert Nabi, and Ghassan Hamarneh. Filtering, Segmenting, and Quantifying Caveolin-1 Protein Clusters in 3D Super-Resolution Microscopy via Machine-Learning and Network Analysis. In 2nd Annual Health Technology Symposium, Vancouver, Canada, pages 1, 2017. Keyword(s): Super Resolution Microscopy, Single Molecule Localization Microscopy, Network Modelling and Analysis, Machine Learning. [bibtex-key = healthtech2017d]


  32. Ismail M. Khater, Fanrui Meng, Ivan Robert Nabi, and Ghassan Hamarneh. Filtering, Segmenting, and Quantifying Caveolin-1 Protein Clusters in 3D Super-Resolution Microscopy via Machine-Learning and Network Analysis. In SIAM-IMAGING Manitoba Workshop on Mathematical Imaging Science, Winnipeg, Canada, pages 1, 2017. Keyword(s): Super Resolution Microscopy, Single Molecule Localization Microscopy, Network Modelling and Analysis, Machine Learning. [bibtex-key = siam2017a]


  33. Ismail M. Khater, Fanrui Meng, Ivan Robert Nabi, and Ghassan Hamarneh. Filtering, Segmenting, and Quantifying Caveolin-1 Protein Clusters in 3D Super-Resolution Microscopy via Machine-Learning and Network Analysis. In Gordon Research Conference, Andover, NH, USA, pages 1, 2017. Keyword(s): Super Resolution Microscopy, Single Molecule Localization Microscopy, Network Modelling and Analysis, Machine Learning. [bibtex-key = gordon2017a]


  34. Ismail M. Khater, Fanrui Meng, Ivan Robert Nabi, and Ghassan Hamarneh. Molecular Level Quantification of Cav1 Clusters in Super-Resolution Imaging Data. In Frontiers in Biophysics, Vancouver, Canada, pages 1, 2017. Keyword(s): Super Resolution Microscopy, Single Molecule Localization Microscopy, Network Modelling and Analysis, Machine Learning. [bibtex-key = frontiers_biophysics2017]


  35. Aicha BenTaieb and Ghassan Hamarneh. Topology Aware Fully Convolutional Networks For Histology Gland Segmentation. In Lecture Notes in Computer Science, Medical Image Computing and Computer-Assisted Intervention (MICCAI), volume 9900, pages 460-468, 2016. Keyword(s): Color/Multichannel/Vector-valued, Machine Learning, Microscopy, Deep Learning. [bibtex-key = miccai2016a]


  36. Aicha BenTaieb, Jeremy Kawahara, and Ghassan Hamarneh. Multi-Loss Convolutional Networks for Gland Analysis in Microscopy. In IEEE International Symposium on Biomedical Imaging (IEEE ISBI), pages 642-645, 2016. Keyword(s): Machine Learning, Microscopy, Deep Learning. [bibtex-key = isbi2016a]


  37. Ismail M. Khater, Fanrui Meng, Ivan Robert Nabi, and Ghassan Hamarneh. Defining caveolae and scaffolds by computational network analysis of particle localization super-resolution microscopy. In American Society for Cell Biology (ASCB), San Francisco, California, pages 1, 2016. Keyword(s): Super Resolution Microscopy, Single Molecule Localization Microscopy, Network Modelling and Analysis, Machine Learning. [bibtex-key = ascb2016]


  38. Ismail M. Khater, Fanrui Meng, Ivan Robert Nabi, and Ghassan Hamarneh. Discovering Biosignatures of Cav1 Domains: Computational Methods for Super-resolution Microscopy. In LSI Imaging Super-resolution Mini-symposium, Vancouver, Canada, pages 1, 2016. Keyword(s): Super Resolution Microscopy, Single Molecule Localization Microscopy, Network Modelling and Analysis, Machine Learning. [bibtex-key = superres2016]


  39. Ismail M. Khater, Fanrui Meng, Ivan Robert Nabi, and Ghassan Hamarneh. Quantifying Caveolin-1 Molecular Domains via Machine Learning and Computational Network Analysis of Super-resolution Microscopy Data. In Bringing the ASCB to the LSI Imaging Mini-symposium, Vancouver, Canada, pages 1, 2016. Keyword(s): Super Resolution Microscopy, Single Molecule Localization Microscopy, Network Modelling and Analysis, Machine Learning. [bibtex-key = ascblsi2016]


  40. Ismail M. Khater, David Scriven, Edwin Moore, and Ghassan Hamarneh. Sub-Cellular Network Analysis of Ryanodine Receptor Positioning in Control and Phosphorylated States. In IEEE Computing in Cardiology (IEEE CinC), pages 821-824, 2016. Keyword(s): Cardiology, Super Resolution Microscopy, Single Molecule Localization, Network Modelling and Analysis. [bibtex-key = cinc2016]


  41. Aicha BenTaieb, Hector Li-Chang, David Huntsman, and Ghassan Hamarneh. Automatic Diagnosis of Ovarian Carcinomas via Sparse Multiresolution Tissue Representation. In Lecture Notes in Computer Science, Medical Image Computing and Computer-Assisted Intervention (MICCAI), volume 9349, pages 629-636, 2015. Keyword(s): Machine Learning, Microscopy, Deep Learning. [bibtex-key = miccai2015b]


  42. Ismail M. Khater, Fanrui Meng, Ivan Robert Nabi, and Ghassan Hamarneh. Identifying Sub-Cellular Domains in PC3 cells by Analysing Caveolin-1 Proteins from Nanoscopy Super-Resolution Data. In NanoLytica, Burnaby, Canada, pages 1, 2015. Keyword(s): Super Resolution Microscopy, Single Molecule Localization Microscopy, Network Modelling and Analysis, Machine Learning. [bibtex-key = nanolytica2015]


  43. Ismail M. Khater, Fanrui Meng, Ivan Robert Nabi, and Ghassan Hamarneh. Super-resolution analysis of Caveolae and Cav1 scaffolds in Prostate Cancer Cells. In Advanced Structural and Chemical Imaging (ASCI) Symposium, Pullman, Washington, pages 1, 2015. Keyword(s): Super Resolution Microscopy, Single Molecule Localization Microscopy, Network Modelling and Analysis, Machine Learning. [bibtex-key = asci2015]


  44. Fanrui Meng, Ismail M. Khater, Ghassan Hamarneh, and Ivan Robert Nabi. Super-resolution analysis of Caveolae and Cav1 scaffolds in Prostate Cancer Cells. In Canadian Cytometry and Microscopy Association (CCMA), Toronto, Canada, pages 1, 2015. Keyword(s): Super Resolution Microscopy, Single Molecule Localization Microscopy, Network Modelling and Analysis, Machine Learning. [bibtex-key = ccma2015]


Internal reports
  1. 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]


  2. 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]


  3. 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]


  4. 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]


  5. 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]


  6. 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]


  7. 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]


  8. 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]


  9. 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]


  10. 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]


  11. 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]


  12. 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]


  13. 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]


  14. 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]


  15. 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]


  16. 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]


  17. 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]



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Last modified: Wed Mar 27 16:05:03 2024
Author: hamarneh.


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