1. Jeremy Kawahara. Uncertainty in Probabilistic Image Registration. Master's Thesis, School of Computing Science, Faculty of Applied Sciences, Simon Fraser University, August 2013.



2. Tayebeh Lotfi Mahyari. Uncertainty in Probabilistic Image Registration. Master's Thesis, School of Computing Science, Faculty of Applied Sciences, Simon Fraser University, June 2013.



3. Ahmed Saad. Analysis and Visualization Techniques for Dynamic Emission Tomography Images. Doctoral Thesis, School of Computing Science, Faculty of Applied Sciences, Simon Fraser University, September 2013.

1. 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.



2. Chris McIntosh and Ghassan Hamarneh. Medical Image Segmentation: Energy Minimization and Deformable Models (Chapter 23). Medical Imaging: Technology and Applications, pp 661-692, 2013. ISBN: 9781466582620. Keyword(s): Survey/Review, Segmentation, Deformable Models, Optimization.



3. Hengameh Mirzaalian, Tim K. Lee, and Ghassan Hamarneh. Spatial Normalization of Human Back Images for Dermatological Studies. IEEE Journal of Biomedical and Health Informatics (IEEE JBHI), 18(4):1494-1501, 2013. Keyword(s): Registration and Matching, Tracking, Graph based, Dermatology.



4. Manku Rana, Ghassan Hamarneh, and James Wakeling. 3D Fascicle Orientations in Triceps Surae. Journal of Applied Physiology, 115(1):116-125, 2013. Keyword(s): Shape Modelling and Analysis.



5. Lisa Y. W. Tang and Ghassan Hamarneh. Medical Image Registration: A Review (Chapter 22). Medical Imaging: Technology and Applications, pp 619-660, 2013. ISBN: 9781466582620. Keyword(s): Survey/Review, Optimization, Registration and Matching.



6. Oliver van Kaick, Hao (Richard) Zhang, and Ghassan Hamarneh. Bilateral Maps for Partial Matching. Computer Graphics Forum (CGF), 32(6):189-200, 2013. Keyword(s): Registration and Matching, Shape Modelling and Analysis.

1. Alborz Amir-Khalili, Masoud Nosrati, Jean-Marc Peyrat, Ghassan Hamarneh, and Rafeef Abugharbieh. Uncertainty-Encoded Augmented Reality for Robot-Assisted Partial Nephrectomy: A Phantom Study. In Medical Image Computing and Computer-Assisted Intervention Workshop on Medical Imaging and Augmented Reality (MICCAI MIAR), volume 8090, pages 182-191, 2013. Keyword(s): Uncertainty, Image-Guided Surgery, Stereo/Multi-View Reconstruction.



2. Alborz Amir-Khalili, Jean-Marc Peyrat, Ghassan Hamarneh, and Rafeef Abugharbieh. 3D Surface Reconstruction of Organs using Patient-Specific Shape Priors in Robot-Assisted Laparoscopic Surgery. In Medical Image Computing and Computer-Assisted Intervention Workshop on on Abdominal Imaging: Computational and Clinical Applications (MICCAI ABDI), volume 8198, pages 184-193, 2013. Keyword(s): Image-Guided Surgery, Stereo/Multi-View Reconstruction.



3. 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.



4. 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.



5. 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.



6. 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.



7. Ghassan Hamarneh, Alborz Amir-Khalili, Masoud Nosrati, Ivan Figueroa, Osama Al-Alao, Abdulla Al-Ansari, Julien Abi-Nahed, Jean-Marc Peyrat, and Rafeef Abugharbieh. Towards Image-Guided Minimally Invasive Robotic Surgery for Partial Nephrectomy. In The Qatar Foundation Annual Research Conference (QF-ARC), 2013. Keyword(s): Image-Guided Surgery, Stereo/Multi-View Reconstruction.



8. 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.



9. 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.



10. 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.



11. Tayebeh Lotfi, Lisa Y. W. Tang, Shawn Andrews, and Ghassan Hamarneh. Improving probabilistic image registration via reinforcement learning and uncertainty evaluation. In Medical Image Computing and Computer-Assisted Intervention Workshop on Machine Learning in Medical Imaging (MICCAI MLMI), volume 8184, pages 188-195, 2013. Keyword(s): Uncertainty, Registration and Matching, Machine Learning.



12. Hamidreza Mirzaei, Lisa Y. W. Tang, Rene Werner, and Ghassan Hamarneh. Decision Forests with Spatio-temporal Features for Graph-based Tumour Segmentation in 4D Lung CT. In Medical Image Computing and Computer-Assisted Intervention Workshop on Machine Learning in Medical Imaging (MICCAI MLMI), volume 8184, pages 179-186, 2013. Keyword(s): Segmentation, Machine Learning, Functional/Molecular/Dynamic Imaging.



13. Masoud Nosrati, Shawn Andrews, and Ghassan Hamarneh. Bounded Labeling Function for Global Segmentation of Multi-Part Objects with Geometric Constraints. In IEEE International Conference on Computer Vision (IEEE ICCV), pages 2032-2039, 2013. Keyword(s): Optimization, Segmentation.



14. Masoud Nosrati and Ghassan Hamarneh. Segmentation of Cells with Partial Occlusion and Part Configuration Constraint using Evolutionary Computation. In Lecture Notes in Computer Science, Medical Image Computing and Computer-Assisted Intervention (MICCAI), volume 8149, pages 461-468, 2013. Keyword(s): Optimization, Segmentation.



15. Manku Rana, Ghassan Hamarneh, and James Wakeling. Changes to 3D muscle fascicle geometry during contraction. In American Society of Biomechanics (ASB), 2013. Keyword(s): Shape Modelling and Analysis, Tracking.



16. Lisa Y. W. Tang and Ghassan Hamarneh. Random walks with efficient search and contextually adapted image similarity for deformable registration. In Lecture Notes in Computer Science, Medical Image Computing and Computer-Assisted Intervention (MICCAI), volume 8150, pages 43-50, 2013. Keyword(s): Optimization, Registration and Matching, Uncertainty.

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