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Showing results (191-200 of 496) with videos related to

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Journal of the American Society for Mass Spectrometry|November 13, 2019
Alkyl and aromatic nitrates in atmospheric particles determined by gas chromatography tandem mass spectrometryXinhao Yang, Feixian Luo, Junqi Li, et al.
Neurobiology of Aging|January 29, 2011
Discriminant analysis of longitudinal cortical thickness changes in Alzheimer's disease using dynamic and network featuresYang Li, Yaping Wang, Guorong Wu, et al.
Plos One|October 4, 2011
Development trends of white matter connectivity in the first years of lifePew-Thian Yap, Yong Fan, Yasheng Chen, et al.
Neuroimage|January 7, 2015
Deep convolutional neural networks for multi-modality isointense infant brain image segmentationWenlu Zhang, Rongjian Li, Houtao Deng, et al.
Medical Image Computing and Computer-Assisted Intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention|March 12, 2026
Longitudinally Consistent Individualized Prediction of Infant Cortical Morphological DevelopmentXinrui Yuan, Jiale Cheng, Dan Hu, et al.
Nature Machine Intelligence|February 2, 2026
Learning MRI artefact removal with unpaired dataSiyuan Liu, Kim-Han Thung, Liangqiong Qu, et al.
Child'S Nervous System : Chns : Official Journal of the International Society for Pediatric Neurosurgery|January 12, 2026
Dandy-Walker syndrome with hydrocephalus undergoing VPS or CPS? A single-center retrospective studyZhiqiang Liu, Bei Liu, Chaoqun Weng, et al.
Neuroimage|February 6, 2023
An attention-based context-informed deep framework for infant brain subcortical segmentationLiangjun Chen, Zhengwang Wu, Fenqiang Zhao, et al.
The Journal of Neuroscience : the Official Journal of the Society for Neuroscience|April 10, 2015
Prenatal drug exposure affects neonatal brain functional connectivityAndrew P Salzwedel, Karen M Grewen, Clement Vachet, et al.
Neuroimage|November 6, 2019
High-resolution 3D MR Fingerprinting using parallel imaging and deep learningYong Chen, Zhenghan Fang, Sheng-Che Hung, et al.
Pageof 50

Showing results (191-200 of 496) with videos related to

Sort By:
Pageof 50
Journal of the American Society for Mass Spectrometry|November 13, 2019
Alkyl and aromatic nitrates in atmospheric particles determined by gas chromatography tandem mass spectrometryXinhao Yang, Feixian Luo, Junqi Li, et al.
Neurobiology of Aging|January 29, 2011
Discriminant analysis of longitudinal cortical thickness changes in Alzheimer's disease using dynamic and network featuresYang Li, Yaping Wang, Guorong Wu, et al.
Plos One|October 4, 2011
Development trends of white matter connectivity in the first years of lifePew-Thian Yap, Yong Fan, Yasheng Chen, et al.
Neuroimage|January 7, 2015
Deep convolutional neural networks for multi-modality isointense infant brain image segmentationWenlu Zhang, Rongjian Li, Houtao Deng, et al.
Medical Image Computing and Computer-Assisted Intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention|March 12, 2026
Longitudinally Consistent Individualized Prediction of Infant Cortical Morphological DevelopmentXinrui Yuan, Jiale Cheng, Dan Hu, et al.
Nature Machine Intelligence|February 2, 2026
Learning MRI artefact removal with unpaired dataSiyuan Liu, Kim-Han Thung, Liangqiong Qu, et al.
Child'S Nervous System : Chns : Official Journal of the International Society for Pediatric Neurosurgery|January 12, 2026
Dandy-Walker syndrome with hydrocephalus undergoing VPS or CPS? A single-center retrospective studyZhiqiang Liu, Bei Liu, Chaoqun Weng, et al.
Neuroimage|February 6, 2023
An attention-based context-informed deep framework for infant brain subcortical segmentationLiangjun Chen, Zhengwang Wu, Fenqiang Zhao, et al.
The Journal of Neuroscience : the Official Journal of the Society for Neuroscience|April 10, 2015
Prenatal drug exposure affects neonatal brain functional connectivityAndrew P Salzwedel, Karen M Grewen, Clement Vachet, et al.
Neuroimage|November 6, 2019
High-resolution 3D MR Fingerprinting using parallel imaging and deep learningYong Chen, Zhenghan Fang, Sheng-Che Hung, et al.
Pageof 50