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Publications about 'Neurodevelopment'
Thesis
  1. Colin J. Brown. Modelling and Prediction of Neurodevelopment in Preterm Infants using Structural Connectome Data. Doctoral Thesis, School of Computing Science, Faculty of Applied Sciences, Simon Fraser University, April 2017. [bibtex-key = phd2017brown]


Articles in journal, book chapters
  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. 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]


  3. 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]


  4. 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]


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. 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]


  3. 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]


  4. 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]


  5. 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]


  6. 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]


  7. 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]


  8. 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]


  9. 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]


  10. 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]


  11. 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]


  12. 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]


  13. 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]



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


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