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Machine learning meets medical imagi...
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(1998 :)
Machine learning meets medical imagingfirst International Workshop, MLMMI 2015, Held in Conjunction with ICML 2015, Lille, France, July 11, 2015 : revised selected papers /
Record Type:
Electronic resources : Monograph/item
Title/Author:
Machine learning meets medical imagingedited by Kanwal K. Bhatia, Herve Lombaert.
Reminder of title:
first International Workshop, MLMMI 2015, Held in Conjunction with ICML 2015, Lille, France, July 11, 2015 : revised selected papers /
remainder title:
MLMMI 2015
other author:
Bhatia, Kanwal K.
corporate name:
Published:
Cham :Springer International Publishing :2015.
Description:
x, 105 p. :ill., digital ;24 cm.
Contained By:
Springer eBooks
Subject:
Machine learningCongresses.
Online resource:
http://dx.doi.org/10.1007/978-3-319-27929-9
ISBN:
9783319279299$q(electronic bk.)
Machine learning meets medical imagingfirst International Workshop, MLMMI 2015, Held in Conjunction with ICML 2015, Lille, France, July 11, 2015 : revised selected papers /
Machine learning meets medical imaging
first International Workshop, MLMMI 2015, Held in Conjunction with ICML 2015, Lille, France, July 11, 2015 : revised selected papers /[electronic resource] :MLMMI 2015edited by Kanwal K. Bhatia, Herve Lombaert. - Cham :Springer International Publishing :2015. - x, 105 p. :ill., digital ;24 cm. - Lecture notes in computer science,94870302-9743 ;. - Lecture notes in computer science ;4891..
Retrospective motion correction of magnitude-input MR images -- Automatic Brain Localization in Fetal MRI Using Superpixel Graphs -- Learning Deep Temporal Representations for fMRI Brain Decoding -- Modelling Non-Stationary and Non-Separable Spatio-Temporal Changes in Neurodegeneration via Gaussian Process Convolution -- Improving MRI brain image classification with anatomical regional kernels -- A Graph Based Classification Method for Multiple Sclerosis Clinical Form Using Support Vector Machine -- Classification of Alzheimer's Disease using Discriminant Manifolds of Hippocampus Shapes -- Transfer Learning for Prostate Cancer Mapping Based on Multicentric MR imaging databases.
ISBN: 9783319279299$q(electronic bk.)
Standard No.: 10.1007/978-3-319-27929-9doiSubjects--Topical Terms:
384498
Machine learning
--Congresses.
LC Class. No.: Q325.5
Dewey Class. No.: 006.31
Machine learning meets medical imagingfirst International Workshop, MLMMI 2015, Held in Conjunction with ICML 2015, Lille, France, July 11, 2015 : revised selected papers /
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first International Workshop, MLMMI 2015, Held in Conjunction with ICML 2015, Lille, France, July 11, 2015 : revised selected papers /
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edited by Kanwal K. Bhatia, Herve Lombaert.
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Retrospective motion correction of magnitude-input MR images -- Automatic Brain Localization in Fetal MRI Using Superpixel Graphs -- Learning Deep Temporal Representations for fMRI Brain Decoding -- Modelling Non-Stationary and Non-Separable Spatio-Temporal Changes in Neurodegeneration via Gaussian Process Convolution -- Improving MRI brain image classification with anatomical regional kernels -- A Graph Based Classification Method for Multiple Sclerosis Clinical Form Using Support Vector Machine -- Classification of Alzheimer's Disease using Discriminant Manifolds of Hippocampus Shapes -- Transfer Learning for Prostate Cancer Mapping Based on Multicentric MR imaging databases.
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based on 0 review(s)
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000000120494
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1圖書
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EB Q325.5 I61 2015
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1 records • Pages 1 •
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http://dx.doi.org/10.1007/978-3-319-27929-9
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