1. 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]



2. 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]

1. 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]



2. 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]



3. Colin J. Brown, Kathleen Moriarty, Steven Miller, Brian G. Booth, Vann Chau, Anne Synnes, Ruth Grunau, and Ghassan Hamarneh. Prediction of Brain Network Age and Factors of Delayed Maturation in Very Preterm Infants. In Lecture Notes in Computer Science, Medical Image Computing and Computer-Assisted Intervention (MICCAI), volume 10433, pages 84-91, 2017. Keyword(s): Neurodevelopment, Machine Learning. [bibtex-key = miccai2017b]



4. Colin J. Brown, Steven Miller, Brian G. Booth, Jill Zwicker, Ruth Grunau, Anne Synnes, Vann Chau, and Ghassan Hamarneh. Predictive Subnetwork Extraction with Structural Priors for Infant Connectomes. In Annual Neuroscience Extravaganza, Centre for Brain Health, BC, Canada, 2016. Keyword(s): Neurodevelopment, Machine Learning. [bibtex-key = neuroscix2016b]



5. Colin J. Brown, Steven Miller, Brian G. Booth, Jill Zwicker, Ruth Grunau, Anne Synnes, Vann Chau, and Ghassan Hamarneh. Predictive Subnetwork Extraction with Structural Priors for Infant Connectomes. In Lecture Notes in Computer Science, Medical Image Computing and Computer-Assisted Intervention (MICCAI), volume 9900, pages 175-183, 2016. Keyword(s): Neurodevelopment, Machine Learning. [bibtex-key = miccai2016b]



6. Colin J. Brown, Steven Miller, Brian G. Booth, Ken Poskitt, Vann Chau, Anne Synnes, Jill Zwicker, Ruth Grunau, and Ghassan Hamarneh. Prediction of Motor Function in Very Preterm Infants using Connectome Features and Local Synthetic Instances. In Lecture Notes in Computer Science, Medical Image Computing and Computer-Assisted Intervention (MICCAI), volume 9349, pages 69-76, 2015. Keyword(s): Neurodevelopment, Machine Learning, Synthesis/Simulation/Augmentation. [bibtex-key = miccai2015a]

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