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Prediction of Motor Function in Very Preterm Infants Using Connectome Features and Local Synthetic Instances.

C. Brown, S. Miller, B. Booth, K. Poskitt, V. Chau, A. Synnes, J. Zwicker, R. Grunau, and G. Hamarneh. MICCAI (1), volume 9349 of Lecture Notes in Computer Science, page 69-76. Springer, (2015)

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Ruth Schwabe University of Stuttgart

Ruth Corkill University of Stuttgart

Dr. phil. Ruth Wolff University of Stuttgart

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Surface displacement based shape analysis of central brain structures in preterm-born children.A. Garg, R. Grunau, K. Popuri, S. Miller, B. Bjornson, K. Poskitt, and M. Beg. Medical Imaging: Biomedical Applications in Molecular, Structural, and Functional Imaging, volume 9788 of SPIE Proceedings, page 97880H. SPIE, (2016)Prediction of Brain Network Age and Factors of Delayed Maturation in Very Preterm Infants.C. Brown, K. Moriarty, S. Miller, B. Booth, J. Zwicker, R. Grunau, A. Synnes, V. Chau, and G. Hamarneh. MICCAI (1), volume 10433 of Lecture Notes in Computer Science, page 84-91. Springer, (2017)Prediction of Motor Function in Very Preterm Infants Using Connectome Features and Local Synthetic Instances.C. Brown, S. Miller, B. Booth, K. Poskitt, V. Chau, A. Synnes, J. Zwicker, R. Grunau, and G. Hamarneh. MICCAI (1), volume 9349 of Lecture Notes in Computer Science, page 69-76. Springer, (2015)STEAM - Statistical Template Estimation for Abnormality Mapping: A personalized DTI analysis technique with applications to the screening of preterm infants.B. Booth, S. Miller, C. Brown, K. Poskitt, V. Chau, R. Grunau, A. Synnes, and G. Hamarneh. NeuroImage, (2016)Altered long-range alpha-band synchronization during visual short-term memory retention in children born very preterm.S. Doesburg, U. Ribary, A. Herdman, S. Miller, K. Poskitt, A. Moiseev, M. Whitfield, A. Synnes, and R. Grunau. NeuroImage, 54 (3): 2330-2339 (2011)Predictive connectome subnetwork extraction with anatomical and connectivity priors.C. Brown, S. Miller, B. Booth, J. Zwicker, R. Grunau, A. Synnes, V. Chau, and G. Hamarneh. Comp. Med. Imag. and Graph., (2019)BrainNetCNN: Convolutional neural networks for brain networks; towards predicting neurodevelopment.J. Kawahara, C. Brown, S. Miller, B. Booth, V. Chau, R. Grunau, J. Zwicker, and G. Hamarneh. NeuroImage, (2017)Minimum variance beamformer weights revisited.A. Moiseev, S. Doesburg, R. Grunau, and U. Ribary. NeuroImage, (2015)Predictive Subnetwork Extraction with Structural Priors for Infant Connectomes.C. Brown, S. Miller, B. Booth, J. Zwicker, R. Grunau, A. Synnes, V. Chau, and G. Hamarneh. MICCAI (1), volume 9900 of Lecture Notes in Computer Science, page 175-183. (2016)