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020 _a9783319279299
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024 7 _a10.1007/978-3-319-27929-9
_2doi
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072 7 _aCOM016000
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082 0 4 _a006.37
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245 1 0 _aMachine Learning Meets Medical Imaging
_h[electronic resource] :
_bFirst International Workshop, MLMMI 2015, Held in Conjunction with ICML 2015, Lille, France, July 11, 2015, Revised Selected Papers /
_cedited by Kanwal Bhatia, Herve Lombaert.
250 _a1st ed. 2015.
264 1 _aCham :
_bSpringer International Publishing :
_bImprint: Springer,
_c2015.
300 _aX, 105 p. 31 illus. in color.
_bonline resource.
336 _atext
_btxt
_2rdacontent
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338 _aonline resource
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490 1 _aImage Processing, Computer Vision, Pattern Recognition, and Graphics,
_x3004-9954 ;
_v9487
505 0 _aRetrospective 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.
520 _aNormal 0 false false false EN-US X-NONE X-NONE /* Style Definitions */ table.MsoNormalTable {mso-style-name:"Table Normal"; mso-tstyle-rowband-size:0; mso-tstyle-colband-size:0; mso-style-noshow:yes; mso-style-priority:99; mso-style-qformat:yes; mso-style-parent:""; mso-padding-alt:0in 5.4pt 0in 5.4pt; mso-para-margin:0in; mso-para-margin-bottom:.0001pt; mso-pagination:widow-orphan; font-size:11.0pt; font-family:"Calibri","sans-serif"; mso-ascii-font-family:Calibri; mso-ascii-theme-font:minor-latin; mso-fareast-font-family:"Times New Roman"; mso-fareast-theme-font:minor-fareast; mso-hansi-font-family:Calibri; mso-hansi-theme-font:minor-latin; mso-bidi-font-family:"Times New Roman"; mso-bidi-theme-font:minor-bidi;} This book constitutes the revised selected papers of the First International Workshop on Machine Learning in Medical Imaging, MLMMI 2015, held in July 2015 in Lille, France, in conjunction with the 32nd International Conference on Machine Learning, ICML 2015. The 10 papers presented in this volume were carefully reviewed and selected for inclusion in the book. The papers communicate the specific needs and nuances of medical imaging to the machine learning community while exposing the medical imaging community to current trends in machine learning. .
650 0 _aComputer vision.
650 0 _aArtificial intelligence.
650 0 _aBioinformatics.
650 0 _aPattern recognition systems.
650 0 _aAlgorithms.
650 0 _aComputer science.
650 1 4 _aComputer Vision.
650 2 4 _aArtificial Intelligence.
650 2 4 _aComputational and Systems Biology.
650 2 4 _aAutomated Pattern Recognition.
650 2 4 _aAlgorithms.
650 2 4 _aTheory of Computation.
700 1 _aBhatia, Kanwal.
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_4http://id.loc.gov/vocabulary/relators/edt
700 1 _aLombaert, Herve.
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776 0 8 _iPrinted edition:
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776 0 8 _iPrinted edition:
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830 0 _aImage Processing, Computer Vision, Pattern Recognition, and Graphics,
_x3004-9954 ;
_v9487
856 4 0 _uhttps://doi.org/10.1007/978-3-319-27929-9
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