Multimodal Brain Image Analysis
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Multimodal Brain Image Analysis
Author | : Anonim |
Publsiher | : Unknown |
Total Pages | : 174 |
Release | : 2011-09-26 |
Genre | : Electronic Book |
ISBN | : 3642244475 |
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Multimodal Brain Image Analysis
Author | : Li Shen,Tianming Liu,Pew-Thian Yap,Heng Huang,Dinggang Shen,Carl-Fredrik Westin |
Publsiher | : Springer |
Total Pages | : 260 |
Release | : 2013-08-15 |
Genre | : Computers |
ISBN | : 9783319021263 |
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This book constitutes the refereed proceedings of the Third International Workshop on Multimodal Brain Image Analysis, MBIA 2013, held in Nagoya, Japan, on September 22, 2013 in conjunction with the 16th International Conference on Medical Image Computing and Computer Assisted Intervention, MICCAI. The 24 revised full papers presented were carefully reviewed and selected from 35 submissions. The papers are organized in topical sections on analysis, methodologies, algorithms, software systems, validation approaches, benchmark datasets, neuroscience and clinical applications.
Multimodal Brain Image Analysis
Author | : Pew-Thian Yap,Tianming Liu,Dinggang Shen,Carl-Fredrik Westin,Li Shen |
Publsiher | : Springer |
Total Pages | : 226 |
Release | : 2012-09-18 |
Genre | : Computers |
ISBN | : 9783642335303 |
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This book constitutes the refereed proceedings of the Second International Workshop on Multimodal Brain Image Analysis, held in conjunction with MICCAI 2012, in Nice, France, in October 2012. The 19 revised full papers presented were carefully reviewed and selected from numerous submissions. The objective of this workshop is to forward the state of the art in analysis methodologies, algorithms, software systems, validation approaches, benchmark datasets, neuroscience, and clinical applications.
Multimodal Brain Image Analysis
Author | : Tianming Liu,Dinggang Shen,LUIS IBANEZ,Xiaodong Tao |
Publsiher | : Springer |
Total Pages | : 162 |
Release | : 2011-09-25 |
Genre | : Computers |
ISBN | : 9783642244469 |
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This book constitutes the refereed proceedings of the First International Workshop on Multimodal Brain Image Analysis, held in conjunction with MICCAI 2011, in Toronto, Canada, in September 2011. The 15 revised full papers presented together with 4 poster papers were carefully reviewed and selected from 24 submissions. The objective of this workshop is to facilitate advancements in the multimodal brain image analysis field, in terms of analysis methodologies, algorithms, software systems, validation approaches, benchmark datasets, neuroscience, and clinical applications.
Multimodal Brain Image Analysis
Author | : Li Shen,Tianming Liu,Pew-Thian Yap |
Publsiher | : Unknown |
Total Pages | : 274 |
Release | : 2013-08-30 |
Genre | : Electronic Book |
ISBN | : 3319021273 |
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Multimodal Brain Image Analysis and Mathematical Foundations of Computational Anatomy
Author | : Dajiang Zhu,Jingwen Yan,Heng Huang,Li Shen,Paul M. Thompson,Carl-Fredrik Westin,Xavier Pennec,Sarang Joshi,Mads Nielsen,Tom Fletcher,Stanley Durrleman,Stefan Sommer |
Publsiher | : Springer Nature |
Total Pages | : 230 |
Release | : 2019-10-10 |
Genre | : Computers |
ISBN | : 9783030332266 |
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This book constitutes the refereed joint proceedings of the 4th International Workshop on Multimodal Brain Image Analysis, MBAI 2019, and the 7th International Workshop on Mathematical Foundations of Computational Anatomy, MFCA 2019, held in conjunction with the 22nd International Conference on Medical Imaging and Computer-Assisted Intervention, MICCAI 2019, in Shenzhen, China, in October 2019. The 16 full papers presented at MBAI 2019 and the 7 full papers presented at MFCA 2019 were carefully reviewed and selected. The MBAI papers intend to move forward the state of the art in multimodal brain image analysis, in terms of analysis methodologies, algorithms, software systems, validation approaches, benchmark datasets, neuroscience, and clinical applications. The MFCA papers are devoted to statistical and geometrical methods for modeling the variability of biological shapes. The goal is to foster the interactions between the mathematical community around shapes and the MICCAI community around computational anatomy applications.
Multimodal Brain Image Fusion Methods Evaluations and Applications
Author | : Yu Liu,Jiayi Ma,Qiang Zhang,Wei Wei,Xun Chen,Zheng Liu |
Publsiher | : Frontiers Media SA |
Total Pages | : 163 |
Release | : 2023-02-06 |
Genre | : Science |
ISBN | : 9782832513880 |
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Deep Learning in Medical Image Analysis and Multimodal Learning for Clinical Decision Support
Author | : M. Jorge Cardoso,Tal Arbel,Gustavo Carneiro,Tanveer Syeda-Mahmood,João Manuel R.S. Tavares,Mehdi Moradi,Andrew Bradley,Hayit Greenspan,João Paulo Papa,Anant Madabhushi,Jacinto C. Nascimento,Jaime S. Cardoso,Vasileios Belagiannis,Zhi Lu |
Publsiher | : Springer |
Total Pages | : 385 |
Release | : 2017-09-07 |
Genre | : Computers |
ISBN | : 9783319675589 |
Download Deep Learning in Medical Image Analysis and Multimodal Learning for Clinical Decision Support Book in PDF, Epub and Kindle
This book constitutes the refereed joint proceedings of the Third International Workshop on Deep Learning in Medical Image Analysis, DLMIA 2017, and the 6th International Workshop on Multimodal Learning for Clinical Decision Support, ML-CDS 2017, held in conjunction with the 20th International Conference on Medical Imaging and Computer-Assisted Intervention, MICCAI 2017, in Québec City, QC, Canada, in September 2017. The 38 full papers presented at DLMIA 2017 and the 5 full papers presented at ML-CDS 2017 were carefully reviewed and selected. The DLMIA papers focus on the design and use of deep learning methods in medical imaging. The ML-CDS papers discuss new techniques of multimodal mining/retrieval and their use in clinical decision support.