國立虎尾科技大學 |

Machine Learning in Clinical Neuroimaging = 4th International Workshop, MLCN 2021, Held in Conjunction with MICCAI 2021, Strasbourg, France, September 27, 2021, Proceedings /

紀錄類型:	書目-語言資料,印刷品 : Monograph/item
正題名/作者:	Machine Learning in Clinical Neuroimaging/ edited by Ahmed Abdulkadir, Seyed Mostafa Kia, Mohamad Habes, Vinod Kumar, Jane Maryam Rondina, Chantal Tax, Thomas Wolfers.
其他題名:	4th International Workshop, MLCN 2021, Held in Conjunction with MICCAI 2021, Strasbourg, France, September 27, 2021, Proceedings /
其他作者:	Wolfers, Thomas.
面頁冊數:	XI, 176 p. 65 illus., 53 illus. in color.online resource. :
Contained By:	Springer Nature eBook
標題:	Artificial Intelligence. -
電子資源:	https://doi.org/10.1007/978-3-030-87586-2
ISBN:	9783030875862

Machine Learning in Clinical Neuroimaging = 4th International Workshop, MLCN 2021, Held in Conjunction with MICCAI 2021, Strasbourg, France, September 27, 2021, Proceedings /
Machine Learning in Clinical Neuroimaging4th International Workshop, MLCN 2021, Held in Conjunction with MICCAI 2021, Strasbourg, France, September 27, 2021, Proceedings /[electronic resource] :edited by Ahmed Abdulkadir, Seyed Mostafa Kia, Mohamad Habes, Vinod Kumar, Jane Maryam Rondina, Chantal Tax, Thomas Wolfers. - 1st ed. 2021. - XI, 176 p. 65 illus., 53 illus. in color.online resource. - Image Processing, Computer Vision, Pattern Recognition, and Graphics ;13001. - Image Processing, Computer Vision, Pattern Recognition, and Graphics ;9219.

Computational Anatomy -- Unfolding the medial temporal lobe cortex to characterize neurodegeneration due to Alzheimer's disease pathology using ex vivo imaging -- Distinguishing Healthy Ageing from Dementia: a Biomechanical Simulation of Brain Atrophy using Deep Networks -- Towards Self-Explainable Classifiers and Regressors in Neuroimaging with Normalizing Flows -- Patch vs. global image-based unsupervised anomaly detection in MR brain scans of early Parkinsonian patients -- MRI image registration considerably improves CNN-based disease classification -- Dynamic Sub-graph Learning for Patch-based Cortical Folding Classification -- Detection of abnormal folding patterns with unsupervised deep generative models -- PialNN: A Fast Deep Learning Framework for Cortical Pial Surface Reconstruction -- Multi-Modal Brain Segmentation Using Hyper-Fused Convolutional Neural Network -- Robust Hydrocephalus Brain Segmentation via Globally and Locally Spatial Guidance -- Brain Networks and Time Series -- Geometric Deep Learning of the Human Connectome Project Multimodal Cortical Parcellation -- Deep Stacking Networks for Conditional Nonlinear Granger Causal Modeling of fMRI Data -- Dynamic Adaptive Spatio-temporal Graph Convolution for fMRI Modelling -- Structure-Function Mapping via Graph Neural Networks -- Improving Phenotype Prediction using Long-Range Spatio-Temporal Dynamics of Functional Connectivity -- H3K27M Mutations Prediction for Brainstem Gliomas Based on Diffusion Radiomics Learning -- Constrained Learning of Task-related and Spatially-Coherent Dictionaries from Task fMRI Data.

This book constitutes the refereed proceedings of the 4th International Workshop on Machine Learning in Clinical Neuroimaging, MLCN 2021, held on September 27, 2021, in conjunction with MICCAI 2021. The workshop was held virtually due to the COVID-19 pandemic. The 17 papers presented in this book were carefully reviewed and selected from 27 submissions. They were organized in topical sections named: computational anatomy and brain networks and time series.

ISBN: 9783030875862

Standard No.: 10.1007/978-3-030-87586-2doiSubjects--Topical Terms:

646849
Artificial Intelligence.

LC Class. No.: TA1630-1650

Dewey Class. No.: 006.6

Machine Learning in Clinical Neuroimaging = 4th International Workshop, MLCN 2021, Held in Conjunction with MICCAI 2021, Strasbourg, France, September 27, 2021, Proceedings /
LDR:03705nam a22004095i 4500 001 1049862
003 DE-He213
005 20210922072911.0
007 cr nn 008mamaa
008 220103s2021 sz | s |||| 0|eng d
020 $a 9783030875862 $9 978-3-030-87586-2
024 7 $a 10.1007/978-3-030-87586-2 $2 doi
035 $a 978-3-030-87586-2
050 4 $a TA1630-1650
072 7 $a UYQV $2 bicssc
072 7 $a COM016000 $2 bisacsh
072 7 $a UYQV $2 thema
082 0 4 $a 006.6 $2 23
245 1 0 $a Machine Learning in Clinical Neuroimaging $h [electronic resource] : $b 4th International Workshop, MLCN 2021, Held in Conjunction with MICCAI 2021, Strasbourg, France, September 27, 2021, Proceedings / $c edited by Ahmed Abdulkadir, Seyed Mostafa Kia, Mohamad Habes, Vinod Kumar, Jane Maryam Rondina, Chantal Tax, Thomas Wolfers.
250 $a 1st ed. 2021.
264 1 $a Cham : $b Springer International Publishing : $b Imprint: Springer, $c 2021.
300 $a XI, 176 p. 65 illus., 53 illus. in color. $b online resource.
336 $a text $b txt $2 rdacontent
337 $a computer $b c $2 rdamedia
338 $a online resource $b cr $2 rdacarrier
347 $a text file $b PDF $2 rda
490 1 $a Image Processing, Computer Vision, Pattern Recognition, and Graphics ; $v 13001
505 0 $a Computational Anatomy -- Unfolding the medial temporal lobe cortex to characterize neurodegeneration due to Alzheimer's disease pathology using ex vivo imaging -- Distinguishing Healthy Ageing from Dementia: a Biomechanical Simulation of Brain Atrophy using Deep Networks -- Towards Self-Explainable Classifiers and Regressors in Neuroimaging with Normalizing Flows -- Patch vs. global image-based unsupervised anomaly detection in MR brain scans of early Parkinsonian patients -- MRI image registration considerably improves CNN-based disease classification -- Dynamic Sub-graph Learning for Patch-based Cortical Folding Classification -- Detection of abnormal folding patterns with unsupervised deep generative models -- PialNN: A Fast Deep Learning Framework for Cortical Pial Surface Reconstruction -- Multi-Modal Brain Segmentation Using Hyper-Fused Convolutional Neural Network -- Robust Hydrocephalus Brain Segmentation via Globally and Locally Spatial Guidance -- Brain Networks and Time Series -- Geometric Deep Learning of the Human Connectome Project Multimodal Cortical Parcellation -- Deep Stacking Networks for Conditional Nonlinear Granger Causal Modeling of fMRI Data -- Dynamic Adaptive Spatio-temporal Graph Convolution for fMRI Modelling -- Structure-Function Mapping via Graph Neural Networks -- Improving Phenotype Prediction using Long-Range Spatio-Temporal Dynamics of Functional Connectivity -- H3K27M Mutations Prediction for Brainstem Gliomas Based on Diffusion Radiomics Learning -- Constrained Learning of Task-related and Spatially-Coherent Dictionaries from Task fMRI Data.
520 $a This book constitutes the refereed proceedings of the 4th International Workshop on Machine Learning in Clinical Neuroimaging, MLCN 2021, held on September 27, 2021, in conjunction with MICCAI 2021. The workshop was held virtually due to the COVID-19 pandemic. The 17 papers presented in this book were carefully reviewed and selected from 27 submissions. They were organized in topical sections named: computational anatomy and brain networks and time series.
650 2 4 $a Artificial Intelligence. $3 646849
650 1 4 $a Computer Imaging, Vision, Pattern Recognition and Graphics. $3 671334
650 0 $a Bioinformatics. $3 583857
650 0 $a Artificial intelligence. $3 559380
650 0 $a Optical data processing. $3 639187
700 1 $a Wolfers, Thomas. $e editor. $1 https://orcid.org/0000-0002-7693-0621 $4 edt $4 http://id.loc.gov/vocabulary/relators/edt $3 1328101
700 1 $a Tax, Chantal. $e editor. $1 https://orcid.org/0000-0002-7480-8817 $4 edt $4 http://id.loc.gov/vocabulary/relators/edt $3 1328100
700 1 $a Rondina, Jane Maryam. $e editor. $1 https://orcid.org/0000-0003-3548-014X $4 edt $4 http://id.loc.gov/vocabulary/relators/edt $3 1328099
700 1 $a Kumar, Vinod. $4 edt $4 http://id.loc.gov/vocabulary/relators/edt $3 1107489
700 1 $a Habes, Mohamad. $e editor. $4 edt $4 http://id.loc.gov/vocabulary/relators/edt $3 1301299
700 1 $a Kia, Seyed Mostafa. $e editor. $1 https://orcid.org/0000-0002-7128-814X $4 edt $4 http://id.loc.gov/vocabulary/relators/edt $3 1283992
700 1 $a Abdulkadir, Ahmed. $e editor. $1 https://orcid.org/0000-0003-4679-8081 $4 edt $4 http://id.loc.gov/vocabulary/relators/edt $3 1328097
710 2 $a SpringerLink (Online service) $3 593884
773 0 $t Springer Nature eBook
776 0 8 $i Printed edition: $z 9783030875855
776 0 8 $i Printed edition: $z 9783030875879
830 0 $a Image Processing, Computer Vision, Pattern Recognition, and Graphics ; $v 9219 $3 1253644
856 4 0 $u https://doi.org/10.1007/978-3-030-87586-2
912 $a ZDB-2-SCS
912 $a ZDB-2-SXCS
912 $a ZDB-2-LNC
950 $a Computer Science (SpringerNature-11645)
950 $a Computer Science (R0) (SpringerNature-43710)