Machine Learning Meets Medical Imaging First International Workshop, MLMMI 2015, Held in Conjunction with ICML 2015, Lille, France, July 11, 2015, Revised Selected Papers /

• Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
• Άλλοι συγγραφείς: Bhatia, Kanwal K. (Επιμελητής έκδοσης), Lombaert, Herve (Επιμελητής έκδοσης)
• Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
• Γλώσσα: English
• Έκδοση: Cham : Springer International Publishing : Imprint: Springer, 2015.
• Έκδοση: 1st ed. 2015.
• Σειρά: Lecture Notes in Computer Science, 9487
• Θέματα: Computer science.; Computers.; Algorithms.; Artificial intelligence.; Image processing.; Pattern recognition.; Bioinformatics.; Computer Science.; Image Processing and Computer Vision.; Artificial Intelligence (incl. Robotics).; Computational Biology/Bioinformatics.; Pattern Recognition.; Algorithm Analysis and Problem Complexity.; Computation by Abstract Devices.

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Πίνακας περιεχομένων:

• 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.