Connectomics in NeuroImaging, Guorong Wu; Islem Rekik; Markus D. Schirmer; Ai We

Автор: Markus D. Schirmer; Archana Venkataraman; Islem Re
Название: Connectomics in NeuroImaging
ISBN: 3030323900 ISBN-13(EAN): 9783030323905
Издательство: Springer
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Цена: 6986.00 р.
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Описание: This book constitutes the refereed proceedings of the Third International Workshop on Connectomics in NeuroImaging, CNI 2019, held in conjunction with MICCAI 2019 in Shenzhen, China, in October 2019.The 13 full papers presented were carefully reviewed and selected from 14 submissions.

Автор: Georg Langs; Irina Rish; Moritz Grosse-Wentrup; Br
Название: Machine Learning and Interpretation in Neuroimaging
ISBN: 3642347126 ISBN-13(EAN): 9783642347122
Издательство: Springer
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Цена: 6429.00 р.
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Описание: This state-of-the-art survey offers a collection of papers from the Workshop on Machine Learning and Interpretation in Neuroimaging, MLINI 2011, held at the 25th Annual Conference on Neural Information Processing, NIPS 2011, in the Sierra Nevada, Spain, in December 2011.

Автор: Guorong Wu; Paul Laurienti; Leonardo Bonilha; Bren
Название: Connectomics in NeuroImaging
ISBN: 3319671588 ISBN-13(EAN): 9783319671581
Издательство: Springer
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Цена: 6986.00 р.
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Описание: This book constitutes the refereed proceedings of the First International Workshop on Connectomics in NeuroImaging, CNI 2017, held in conjunction with MICCAI 2017 in Quebec City, Canada, in September 2017. The 19 full papers presented were carefully reviewed and selected from 26 submissions.

Автор: Rish
Название: Machine Learning and Interpretation in Neuroimaging
ISBN: 3319451731 ISBN-13(EAN): 9783319451732
Издательство: Springer
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Цена: 5870.00 р.
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Описание:

Networks and Decoding.- Multi-Task Learning for Interpretation of Brain Decoding Models.- The New Graph Kernels on Connectivity Networks for Identification of MCI.- Mapping Tractography Across Subjects.- Speech.- Automated speech analysis for psychosis evaluation.- Combining different modalities in classifying phonological categories.- Clinics and cognition.- Label-alignment-based Multi-task Feature Selection for Multimodal Classification of Brain Disease.- Leveraging Clinical Data to Enhance Localization of Brain Atrophy.- Estimating Learning Effects: A Short-Time Fourier Transform Regression Model for MEG Source Localization.- Causality and time-series.- Classification-based Causality Detection in Time Series.- Fast and Improved SLEX Analysis of High-dimensional Time Series.- Best paper awards: MLINI 2013.- Predicting Short-Term Cognitive Change from Longitudinal Neuroimaging Analysis.- Hyperalignment of Multi-Subject fMRI Data by Synchronized Projections.- An oblique approach to prediction of conversion to Alzheimer's Disease with multikernel Gaussian Processes.

Автор: Luping Zhou; Duygu Sarikaya; Seyed Mostafa Kia; St
Название: OR 2.0 Context-Aware Operating Theaters and Machine Learning in Clinical Neuroimaging
ISBN: 3030326942 ISBN-13(EAN): 9783030326944
Издательство: Springer
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Цена: 6986.00 р.
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Описание: This book constitutes the refereed proceedings of the Second International Workshop on Context-Aware Surgical Theaters, OR 2.0 2019, and the Second International Workshop on Machine Learning in Clinical Neuroimaging, MLCN 2019, held in conjunction with MICCAI 2019, in Shenzhen, China, in October 2019.