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Publications about 'MRI'
Thesis
  1. Anmol Sharma. Missing MRI Pulse Sequence Synthesis using Multi-Modal Generative Adversarial Network. Master's Thesis, School of Computing Science, Faculty of Applied Sciences, Simon Fraser University, August 2019. [bibtex-key = msc2019sharma]


  2. Brian G. Booth. Diffusion MRI Analysis Techniques Inspired by the Preterm Infant Brain. Doctoral Thesis, School of Computing Science, Faculty of Applied Sciences, Simon Fraser University, November 2015. [bibtex-key = phd2015booth]


Articles in journal, book chapters
  1. Chloe Lim, Hayyan Liaqat, William Siu, Ghassan Hamarneh, and George Medvedev. Future implementation of automated analysis tools for Multiple Sclerosis on conventional magnetic resonance imaging (Lim and Liaqat: Joint first authors; Hamarneh and Medvedev: Joint senior authors). Multiple Sclerosis. MSVirtual 2020 – Late Breaking News. Also appears in ACTRIMS-ECTRMS meeting, 1(3 SUPPL):99, 2020. Keyword(s): Segmentation, Software and Tools, Multiple Sclerosis, MRI. [bibtex-key = msj2020]


  2. Anmol Sharma and Ghassan Hamarneh. Missing MRI Pulse Sequence Synthesis using Multi-Modal Generative Adversarial Network. IEEE Transactions on Medical Imaging (IEEE TMI), 39(4):1170-1183, 2019. Keyword(s): Machine Learning, Deep Learning, Generative Adversarial Network, Synthesis/Simulation/Augmentation, Multimodal. [bibtex-key = tmi2019]


  3. Colin J. Brown, Steven Miller, Brian G. Booth, Jill Zwicker, Ruth Grunau, Anne Synnes, Vann Chau, and Ghassan Hamarneh. Predictive connectome subnetwork extraction with anatomical and connectivity priors. Computerized Medical Imaging and Graphics (CMIG), 71(January):67-78, 2018. Keyword(s): Diffusion MRI/Tensor-valued, Autism, Neurodevelopment, Connectome, Machine Learning. [bibtex-key = cmig2018b]


  4. Jeremy Kawahara, Colin J. Brown, Steven Miller, Brian G. Booth, Vann Chau, Ruth Grunau, Jill Zwicker, and Ghassan Hamarneh. BrainNetCNN: Convolutional Neural Networks for Brain Networks; Towards Predicting Neurodevelopment (Brown and Kawahara: Joint first authors). NeuroImage, 146(1):1038-1049, 2017. Keyword(s): Diffusion MRI/Tensor-valued, Neurodevelopment, Connectome, Machine Learning, Deep Learning. [bibtex-key = neuroimage2017]


  5. Urs Ribary, Alex L. Mackay, Alexander Rauscher, Christine M. Tipper, Debbie Giaschi, Todd S. Woodward, Vesna Sossi, Sam M. Doesburg, Lawrence M. Ward, Anthony Herdman, Ghassan Hamarneh, Brian G. Booth, and Alexander Moiseev. Emerging neuroimaging technologies: Towards future personalized diagnostics, prognosis, targeted intervention and ethical challenges. (Chapter 2). Neuroethics: Anticipating the Future, pp 15-53, 2016. ISBN: 9780198786832. Keyword(s): Diffusion MRI/Tensor-valued. [bibtex-key = neuroethics2016]


  6. Brian G. Booth and Ghassan Hamarneh. Diffusion MRI for Brain Connectivity Mapping and Analysis (Chapter 7). MRI: Physics, Image Reconstruction, and Analysis, pp 137-171, 2015. ISBN: 9781482298871. Keyword(s): Diffusion MRI/Tensor-valued. [bibtex-key = crc2015b]


  7. Brian G. Booth, Steven Miller, Colin J. Brown, Kenneth Poskitt, Vann Chau, Ruth Grunau, Anne Synnes, and Ghassan Hamarneh. STEAM - Statistical Template Estimation for Abnormality Mapping: a Personalized DTI Analysis Technique with Applications to the Screening of Preterm Infants. NeuroImage, 125:705-723, 2015. Keyword(s): Diffusion MRI/Tensor-valued, Neurodevelopment, Connectome, Datasets, Synthesis/Simulation/Augmentation. [bibtex-key = neuroimage2015]


  8. Colin J. Brown, Steven Miller, Brian G. Booth, Shawn Andrews, Vann Chau, Ken Poskitt, and Ghassan Hamarneh. Structural Network Analysis of Brain Development in Young Preterm Neonates. NeuroImage, 101(0):667-680, 2014. Keyword(s): Diffusion MRI/Tensor-valued, Neurodevelopment, Connectome. [bibtex-key = neuroimage2014]


  9. Brian G. Booth and Ghassan Hamarneh. Brain Connectivity Mapping and Analysis using Diffusion MRI (Chapter 19). Medical Imaging: Technology and Applications, pp 529-563, 2013. ISBN: 9781466582620. Keyword(s): Diffusion MRI/Tensor-valued. [bibtex-key = crc2013b]


  10. Bahareh HajGhanbari, Ghassan Hamarneh, Neda Changizi, Aaron Ward, and W. Darlene Reid. MRI-based 3D shape analysis of thigh muscles: Patients with chronic obstructive pulmonary disease versus healthy adults. Academic Radiology, 18(2):155-166, 2011. Keyword(s): Shape Modelling and Analysis, Machine Learning. [bibtex-key = ar2011]


  11. Ghassan Hamarneh, Chris McIntosh, and Mark S. Drew. Perception-based Visualization of Manifold-Valued Medical Images using Distance-Preserving Dimensionality Reduction. IEEE Transactions on Medical Imaging (IEEE TMI), 30(7):1314-1327, 2011. Keyword(s): Color/Multichannel/Vector-valued, Visualization, Diffusion MRI/Tensor-valued, Functional/Molecular/Dynamic Imaging. [bibtex-key = tmi2011b]


  12. Ghassan Hamarneh and Judith Hradsky. Bilateral Filtering of Diffusion Tensor Magnetic Resonance Images. IEEE Transactions on Image Processing (IEEE TIP), 16(10):2463-2475, 2007. Keyword(s): Processing, Diffusion MRI/Tensor-valued. [bibtex-key = tip2007]


  13. Omer Ishaq, Ghassan Hamarneh, Roger Tam, Anthony Traboulsee, and David Li. Effects of mid sagittal plane selection on corpus callosal area. Multiple Sclerosis (special supplementary journal issue of all oral presentations in the 22nd Congress of the European Committee for Treatment and Research in Multiple Sclerosis (ECTRMS) 2006). Also appeared in ECTRMS 2006, 12(1):S173, 2006. Keyword(s): Shape Modelling and Analysis, Multiple Sclerosis, MRI. [bibtex-key = msj2006]


Conference articles
  1. Kayleigh Campbell, Colin J. Brown, Ghassan Hamarneh, Steven Miller, and Tim Oberlander. Disrupted structural network topology of the neonatal brain following prenatal SSRI antidepressant exposure, and its relationship with later infant neurodevelopment and behaviour at 2-years of age. In International Society for Developmental Psychobiology (ISDP), 2022. Keyword(s): Neurodevelopment, Diffusion MRI/Tensor-valued. [bibtex-key = isdp2022]


  2. Weina Jin, Xiaoxiao Li, and Ghassan Hamarneh. Evaluating Explainable AI on Multi-Modal Medical Imaging Task: Can Existing Algorithms Fulfill Clinical Requirements?. In Association for the Advancement of Artificial Intelligence Conference (AAAI), volume 36, pages 11945-11953, 2022. Keyword(s): Deep Learning, Explainable AI (XAI), Glioma Imaging, Machine Learning, MRI, Multimodal. [bibtex-key = aaai2022]


  3. 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]


  4. Mia McLean, Lynne Williams, Colin J. Brown, Ghassan Hamarneh, Cecil Chau, Joanne Weinberg, Anne Synnes, Steven Miller, and Ruth Grunau. Neonatal Pain-related Stress, Neonatal Structural Brain Subnetworks, Cortisol and Behavior at 4 years in Children Born Very Preterm. In 54th Annual Meeting of the International Society for Developmental Psychobiology, Chicago, USA, pages 1, 2021. Keyword(s): Diffusion MRI/Tensor-valued, Neurodevelopment, Connectome, Machine Learning. [bibtex-key = isdp2021]


  5. Mia McLean, Lynne Williams, Jeremy Kawahara, Colin J. Brown, Ghassan Hamarneh, Joanne Weinberg, Anne Synnes, Steven Miller, and Ruth Grunau. Associations Between Neonatal Pain-Related Stress, Neonatal Brain Structural Connectome, and Behavior at School Age in Children Born Very Preterm. In 6th Annual Research Day Brain, Behaviour and Development (BB&D), Vancouver, Canada, pages 1, 2021. Keyword(s): Diffusion MRI/Tensor-valued, Neurodevelopment, Connectome, Machine Learning. [bibtex-key = bcbbd2021]


  6. Shahab Aslani, Vittorio Murino, Michael Dayan, Roger Tam, Diego Sona, and Ghassan Hamarneh. Scanner Invariant Multiple Sclerosis Lesion Segmentation from MRI. In IEEE International Symposium on Biomedical Imaging (IEEE ISBI), pages 781-785, 2020. Keyword(s): Segmentation, Machine Learning, Deep Learning, Multiple Sclerosis, MRI. [bibtex-key = isbi2020]


  7. Chloe Lim, Hayyan Liaqat, William Siu, Ghassan Hamarneh, and George Medvedev. Future implementation of automated analysis tools for Multiple Sclerosis on conventional magnetic resonance imaging (Lim and Liaqat: Joint first authors; Hamarneh and Medvedev: Joint senior authors). In 8th joint Americas Committee for Treatment and Research in Multiple Sclerosis - European Committee for Treatment and Research in Multiple Sclerosis (joint ACTRIMS-ECTRMS), pages 1, 2020. Keyword(s): Segmentation, Software and Tools, Multiple Sclerosis, MRI. [bibtex-key = ectrms2020]


  8. Jeremy Kawahara, Colin J. Brown, and Ghassan Hamarneh. Connectome Priors in Deep Neural Networks to Predict Autism (Kawahara and Brown: Joint first authors). In IEEE International Symposium on Biomedical Imaging (IEEE ISBI), pages 110-113, 2018. Keyword(s): Diffusion MRI/Tensor-valued, Autism, Connectome, Machine Learning, Deep Learning, Classification. [bibtex-key = isbi2018c]


  9. Bebart Janbek, Brian G. Booth, and Ghassan Hamarneh. A Tensor Field Mumford-Shah Segmentation of Neural Pathways in DW-MRI. In Society for Industrial and Applied Mathematics (SIAM) Annual Meeting, Pittsburgh, Pennsylvania, USA, pages 1, 2017. Keyword(s): Diffusion MRI/Tensor-valued, Segmentation, Optimization. [bibtex-key = siam2017b]


  10. Jeremy Kawahara, Colin J. Brown, Steven Miller, Brian G. Booth, Vann Chau, Ruth Grunau, Jill Zwicker, and Ghassan Hamarneh. BrainNetCNN: Artificial Convolutional Neural Networks for Connectomes. In 2nd Annual Health Technology Symposium, Vancouver, Canada, pages 1, 2017. Keyword(s): Diffusion MRI/Tensor-valued, Neurodevelopment, Connectome, Machine Learning, Deep Learning, Classification. [bibtex-key = healthtech2017c]


  11. Jeremy Kawahara, Colin J. Brown, Steven Miller, Brian G. Booth, Vann Chau, Ruth Grunau, Jill Zwicker, and Ghassan Hamarneh. BrainNetCNN: Artificial Convolutional Neural Networks for Connectomes. In Annual Neuroscience Extravaganza, Centre for Brain Health, BC, Canada, 2016. Keyword(s): Diffusion MRI/Tensor-valued, Neurodevelopment, Connectome, Machine Learning, Deep Learning. [bibtex-key = neuroscix2016a]


  12. Jenna Smith-Forrester, Naama Rotem-Kohavi, Colin J. Brown, Ghassan Hamarneh, and Naznin Virji-Babul. Changes in Structural Brain Connectivity Following Concussion. In The 9th Annual Canadian Neuroscience Meeting (CAN-ACN). Symposium: Vision and Movement Order and Disorder: From Bench to Bedside, 2015. Keyword(s): Diffusion MRI/Tensor-valued. [bibtex-key = can-acn2015]


  13. Lisa Y. W. Tang, Ghassan Hamarneh, Anthony Traboulsee, and Roger Tam. Corpus callosum segmentation in MS studies using normal atlases and optimal hybridization of extrinsic and intrinsic image cues. In Lecture Notes in Computer Science, Medical Image Computing and Computer-Assisted Intervention (MICCAI), volume 9351, pages 123-131, 2015. Keyword(s): Registration and Matching, Segmentation, Multiple Sclerosis, MRI. [bibtex-key = miccai2015c]


  14. Brian G. Booth and Ghassan Hamarneh. DTI-DeformIt: Generating Ground-Truth Validation Data for Diffusion Tensor Image Analysis Tasks. In IEEE International Symposium on Biomedical Imaging (IEEE ISBI), pages 730-733, 2014. Keyword(s): Diffusion MRI/Tensor-valued, Synthesis/Simulation/Augmentation, Software and Tools, Validation, Physical Modelling. [bibtex-key = isbi2014b]


  15. Colin J. Brown, Steven Miller, Brian G. Booth, Shawn Andrews, Vann Chau, Ken Poskitt, and Ghassan Hamarneh. Analysis of Structural Connectome Development in Healthy Preterm Neonates. In Annual Neuroscience Extravaganza, Brain Research Centre, UBC, 2014. Keyword(s): Diffusion MRI/Tensor-valued, Neurodevelopment. [bibtex-key = neuroscix2014]


  16. Brian G. Booth and Ghassan Hamarneh. A Cross-sectional Piecewise Constant Model for Segmenting Highly Curved Fiber Tracts in Diffusion MR Images. In Lecture Notes in Computer Science, Medical Image Computing and Computer-Assisted Intervention (MICCAI), volume 8151, pages 469-476, 2013. Keyword(s): Diffusion MRI/Tensor-valued, Segmentation. [bibtex-key = miccai2013b]


  17. Brian G. Booth, Steven Miller, Vann Chau, Ken Poskitt, and Ghassan Hamarneh. Modelling the Healthy Premature Infant Brain. In Annual Neuroscience Extravaganza, Brain Research Centre, UBC, 2013. Keyword(s): Diffusion MRI/Tensor-valued, Neurodevelopment. [bibtex-key = neuroscix2013]


  18. Colin J. Brown, Brian G. Booth, and Ghassan Hamarneh. K-Confidence: Assessing Uncertainty in Tractography using k Optimal Paths. In IEEE International Symposium on Biomedical Imaging (IEEE ISBI), pages 250-253, 2013. Keyword(s): Diffusion MRI/Tensor-valued, Optimization, Uncertainty. [bibtex-key = isbi2013a]


  19. Colin J. Brown, Brian G. Booth, and Ghassan Hamarneh. Uncertainty in Tractography via Tract Confidence Regions. In Medical Image Computing and Computer-Assisted Intervention Workshop on Computational Diffusion MRI (MICCAI CDMRI), pages 13-22, 2013. Keyword(s): Uncertainty, Diffusion MRI/Tensor-valued. [bibtex-key = miccai_cdmri2013]


  20. Jeremy Kawahara, Chris McIntosh, Roger Tam, and Ghassan Hamarneh. Augmenting Auto-context with Global Geometric Features for Spinal Cord Segmentation. In Medical Image Computing and Computer-Assisted Intervention Workshop on Machine Learning in Medical Imaging (MICCAI MLMI), volume 8184, pages 212-219, 2013. Keyword(s): Segmentation, Machine Learning, Shape Modelling and Analysis, Multiple Sclerosis, MRI. [bibtex-key = miccai_mlmi2013a]


  21. Jeremy Kawahara, Chris McIntosh, Roger Tam, and Ghassan Hamarneh. Globally Optimal Spinal Cord Segmentation using A Minimal Path in High Dimensions. In IEEE International Symposium on Biomedical Imaging (IEEE ISBI), pages 836-839, 2013. Keyword(s): Segmentation, Optimization, Anatomical Trees and Tubular Structures, Graph based, Multiple Sclerosis, MRI. [bibtex-key = isbi2013b]


  22. Jeremy Kawahara, Chris McIntosh, Roger Tam, and Ghassan Hamarneh. Novel Morphological and Appearance Features for Predicting Physical Disability from MR Images in Multiple Sclerosis Patients. In Medical Image Computing and Computer-Assisted Intervention Workshop on Computational Methods and Clinical Applications for Spine Imaging (MICCAI CSI), pages 1-13, 2013. Keyword(s): Machine Learning, Shape Modelling and Analysis, Multiple Sclerosis, MRI. [bibtex-key = miccai_csi2013]


  23. Shawn Andrews, Brian G. Booth, Steven Miller, Vann Chau, Ken Poskitt, and Ghassan Hamarneh. Towards highly-automated detection of white matter injury in prematurely born babies from diffusion tensor MRI. In NeuroDevNet Brain Development Conference, pages 99, 2012. Keyword(s): Diffusion MRI/Tensor-valued, Neurodevelopment. [bibtex-key = neurodevnet2012]


  24. Brian G. Booth and Ghassan Hamarneh. Competitive Tractography for Extracting Brain Connectivity from Diffusion MRI. In The 6th Annual Canadian Neuroscience Meeting (CAN-ACN), 2012. Keyword(s): Diffusion MRI/Tensor-valued, Graph based. [bibtex-key = can-acn2012]


  25. Brian G. Booth and Ghassan Hamarneh. Global Multi-Region Competitive Tractography. In IEEE workshop on Mathematical Methods for Biomedical Image Analysis (IEEE MMBIA), pages 73-78, 2012. Keyword(s): Diffusion MRI/Tensor-valued, Uncertainty. [bibtex-key = mmbia2012a]


  26. Brian G. Booth, Steven Miller, Vann Chau, Ken Poskitt, and Ghassan Hamarneh. Modelling the Healthy Premature Infant Brain. In Child and Family Research Imaging Facility Grand Opening Event, 2012. Keyword(s): Diffusion MRI/Tensor-valued, Neurodevelopment. [bibtex-key = cfri2012]


  27. Krishna Nand, Ghassan Hamarneh, and Rafeef Abugharbieh. Diffusion Tensor Image Processing using Biquaternions. In IEEE International Symposium on Biomedical Imaging (IEEE ISBI), pages 538-541, 2012. Keyword(s): Diffusion MRI/Tensor-valued. [bibtex-key = isbi2012b]


  28. Fahime Sheikhzadeh, Roger Tam, and Ghassan Hamarneh. Spatial Distribution of Lesions as a Surrogate Biomarker for Disability in Multiple Sclerosis. In IEEE workshop on Mathematical Methods for Biomedical Image Analysis (IEEE MMBIA), pages 273-278, 2012. Keyword(s): Shape Modelling and Analysis, Multiple Sclerosis, MRI. [bibtex-key = mmbia2012e]


  29. Brian G. Booth and Ghassan Hamarneh. Consistent Information Content Estimation for Diffusion Tensor MR Images. In IEEE Conference on Healthcare Informatics, Imaging and Systems Biology (IEEE HISB), pages 166-173, 2011. Keyword(s): Diffusion MRI/Tensor-valued. [bibtex-key = hisb2011a]


  30. Brian G. Booth and Ghassan Hamarneh. Exact Integration of Diffusion Orientation Distribution Functions for Graph-Based Diffusion MRI Analysis. In IEEE International Symposium on Biomedical Imaging (IEEE ISBI), pages 935-938, 2011. Keyword(s): Diffusion MRI/Tensor-valued, Graph based. [bibtex-key = isbi2011]


  31. Bahareh HajGhanbari, Ghassan Hamarneh, Neda Changizi, Aaron Ward, and W. Darlene Reid. MRI-based Three dimensional shape analysis of thigh muscles: people with Chronic Obstructive Pulmonary Disease versus healthy older adults. In Heart+Lung Health Fest, pages 1, 2011. Keyword(s): Shape Modelling and Analysis, Machine Learning. [bibtex-key = hlf2011]


  32. Chris McIntosh, Ghassan Hamarneh, Matt Toom, and Roger Tam. Spinal Cord Segmentation for Volume Estimation in Healthy and Multiple Sclerosis Subjects using Crawlers and Minimal Paths. In IEEE Conference on Healthcare Informatics, Imaging and Systems Biology (IEEE HISB), pages 25-31, 2011. Keyword(s): Artificial Life, Deformable Organisms, Segmentation, Anatomical Trees and Tubular Structures, Multiple Sclerosis, MRI. [bibtex-key = hisb2011b]


  33. Krishna Nand, Rafeef Abugharbieh, Brian G. Booth, and Ghassan Hamarneh. Detecting Structure in Diffusion Tensor MR Images. In Lecture Notes in Computer Science, Medical Image Computing and Computer-Assisted Intervention (MICCAI), volume 6892, pages 90-97, 2011. Keyword(s): Diffusion MRI/Tensor-valued, Processing, Anatomical Trees and Tubular Structures. [bibtex-key = miccai2011c]


  34. Neda Changizi, Ghassan Hamarneh, Omer Ishaq, Aaron Ward, and Roger Tam. Extraction of the Plane of Minimal Cross-Sectional Area of the Corpus Callosum using Template-Driven Segmentation. In Lecture Notes in Computer Science, Medical Image Computing and Computer-Assisted Intervention (MICCAI), volume 6363, pages 17-24, 2010. Keyword(s): Registration and Matching, Segmentation, Shape Modelling and Analysis, Multiple Sclerosis, MRI. [bibtex-key = miccai2010c]


  35. Yonas Weldeselassie, Ghassan Hamarneh, Faisal Beg, and Stella Atkins. Novel Decomposition of Tensor Distance into Shape and Orientation Distances. In Medical Image Computing and Computer-Assisted Intervention Workshop on Diffusion Modelling and the Fibre Cup (MICCAI DMFB), pages 173-180, 2009. Keyword(s): Diffusion MRI/Tensor-valued. [bibtex-key = miccai_dmfc2009]


  36. Yonas Weldeselassie, Ghassan Hamarneh, Samantha Palmer, Martin McKeown, and Stella Atkins. Diffusion Properties of Cortico-Striatal White Matter Tractography As Sensistive Markers of Parkinson's Disease. In The 17th Scientific Meeting and Exhibition of the International Society for Magnetic Resonance in Medicine (ISMRM), 2009. Keyword(s): Diffusion MRI/Tensor-valued. [bibtex-key = ismrm2009]


  37. Mark S. Drew and Ghassan Hamarneh. Visualizing Diffusion Tensor Dissimilarity using an ICA Based Perceptual Color Metric. In Color Imaging (IS&T/SID CI), pages 42-47, 2007. Keyword(s): Visualization, Diffusion MRI/Tensor-valued, Color. [bibtex-key = ci2007]


  38. Omer Ishaq, Ghassan Hamarneh, Roger Tam, and Anthony Traboulsee. Longitudinal, Regional and Deformation-Specific Corpus Callosum Shape Analysis for Multiple Sclerosis. In IEEE Engineering in Medicine and Biology (IEEE EMBC), pages 2110-2113, 2007. Keyword(s): Shape Modelling and Analysis, Medial-based Shape Representation, Multiple Sclerosis, MRI. [bibtex-key = embc2007]


  39. Yonas Weldeselassie and Ghassan Hamarneh. DT-MRI Segmentation Using Graph Cuts. In SPIE Medical Imaging, volume 6512-1K, pages 1-9, 2007. Keyword(s): Segmentation, Diffusion MRI/Tensor-valued, Graph based. [bibtex-key = spiemi2007b]


  40. Yonas Weldeselassie, Ghassan Hamarneh, and Daniel Weiskopf. Tensor Distance Based Adaptive Seeding Algorithm for DT-MRI Visualization. In SPIE Medical Imaging, volume 65092M, pages 1-9, 2007. Keyword(s): Visualization, Diffusion MRI/Tensor-valued. [bibtex-key = spiemi2007c]


  41. Ghassan Hamarneh and Judith Hradsky. Bilateral Filtering of Diffusion Tensor MR Images. In IEEE International Symposium on Signal Processing and Information Technology (IEEE ISSPIT), pages 508-512, 2006. Keyword(s): Processing, Diffusion MRI/Tensor-valued. [bibtex-key = isspit2006a]


  42. Ghassan Hamarneh and Judith Hradsky. DTMRI Segmentation using DT-Snakes and DT-Livewire. In IEEE International Symposium on Signal Processing and Information Technology (IEEE ISSPIT), pages 513-518, 2006. Keyword(s): Segmentation, Deformable Models, Diffusion MRI/Tensor-valued, Graph based. [bibtex-key = isspit2006b]


  43. Omer Ishaq, Ghassan Hamarneh, Roger Tam, and Anthony Traboulsee. Effects of Mid Sagittal Plane Perturbation and Image Interpolation on Corpus Callosum Area Calculation. In IEEE International Symposium on Signal Processing and Information Technology (IEEE ISSPIT), pages 197-202, 2006. Keyword(s): Shape Modelling and Analysis, Multiple Sclerosis, MRI. [bibtex-key = isspit2006c]


  44. Omer Ishaq, Ghassan Hamarneh, Roger Tam, Anthony Traboulsee, and David Li. Effects of mid sagittal plane selection on corpus callosal area. In 22nd Congress of the European Committee for Treatment and Research in Multiple Sclerosis (ECTRMS) (Also appeared in Multiple Sclerosis Journal 12(1):S173, 2006), pages 616, 2006. Keyword(s): Shape Modelling and Analysis, Multiple Sclerosis, MRI. [bibtex-key = ectrms2006]


Internal reports
  1. 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]


  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. 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]


  4. 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]


  5. 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]


  6. 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]



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Last modified: Thu Aug 1 12:06:05 2024
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