Search from the table of contents of 2.5 million books
Advanced Search (Beta)
Home > Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries: First International Workshop, Brainles 2015, Held in Conjunction with MICCAI 2015, Munich, Germany, October 5, 2015, Revised Selected Papers > Deep Convolutional Neural Networks for the Segmentation of Gliomas in Multi-sequence MRI
Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries: First International Workshop, Brainles 2015, Held in Conjunction with MICCAI 2015, Munich, Germany, October 5, 2015, Revised Selected Papers |
Alessandro Crimi; Bjoern Menze; Oskar Maier; Mauricio Reyes; Heinz Handels
Springer International Publishing
Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries: First International Workshop, Brainles 2015, Held in Conjunction with MICCAI 2015, Munich, Germany, October 5, 2015, Revised Selected Papers
Deep Convolutional Neural Networks for the Segmentation of Gliomas in Multi-sequence MRI
Authors

Sérgio Pereira; Adriano Pinto; Victor Alves; Carlos A. Silva

ARI Id

1664719679145_2909759

Access

Not Available Free

Pages

131-143

DOI

10.1007/978-3-319-30858-6_12

Chapter URL

https://rd.springer.com/chapter/10.1007/978-3-319-30858-6_12

Table of Contents of Book
Showing 1 to 20 of 30 entries
Chapters/HeadingsAuthor(s)PagesInfo
Front Matter
I-IX
Brain Lesions, Introduction
Alessandro Crimi
1-5
Front Matter
7-7
Simultaneous Whole-Brain Segmentation and White Matter Lesion Detection Using Contrast-Adaptive Probabilistic Models
Oula Puonti; Koen Van Leemput
9-20
Stroke Lesion Segmentation Using a Probabilistic Atlas of Cerebral Vascular Territories
Alexandra Derntl; Claudia Plant; Philipp Gruber; Susanne Wegener; Jan S. Bauer; Bjoern H. Menze
21-32
Fiber Tracking in Traumatic Brain Injury: Comparison of 9 Tractography Algorithms
Emily L. Dennis; Gautam Prasad; Madelaine Daianu; Liang Zhan; Talin Babikian; Claudia Kernan et al.
33-44
Combining Unsupervised and Supervised Methods for Lesion Segmentation
Tim Jerman; Alfiia Galimzianova; Franjo Pernuš; Boštjan Likar; Žiga Špiclin
45-56
Assessment of Tissue Injury in Severe Brain Trauma
Christophe Maggia; Senan Doyle; Florence Forbes; Olivier Heck; Irène Troprès; Corentin Berthet et al.
57-68
A Nonparametric Growth Model for Brain Tumor Segmentation in Longitudinal MR Sequences
Esther Alberts; Guillaume Charpiat; Yuliya Tarabalka; Thomas Huber; Marc-André Weber; Jan Bauer et al.
69-79
A Semi-automatic Method for Segmentation of Multiple Sclerosis Lesions on Dual-Echo Magnetic Resonance Images
Loredana Storelli; Elisabetta Pagani; Maria Assunta Rocca; Mark A. Horsfield; Massimo Filippi
80-90
Bayesian Stroke Lesion Estimation for Automatic Registration of DTI Images
Félix Renard; Matthieu Urvoy; Assia Jaillard
91-103
A Quantitative Approach to Characterize MR Contrasts with Histology
Yaël Balbastre; Michel E. Vandenberghe; Anne-Sophie Hérard; Pauline Gipchtein; Caroline Jan; Anselme L. Perrier et al.
104-115
Front Matter
117-117
Image Features for Brain Lesion Segmentation Using Random Forests
Oskar Maier; Matthias Wilms; Heinz Handels
119-130
Deep Convolutional Neural Networks for the Segmentation of Gliomas in Multi-sequence MRI
Sérgio Pereira; Adriano Pinto; Victor Alves; Carlos A. Silva
131-143
GLISTRboost: Combining Multimodal MRI Segmentation, Registration, and Biophysical Tumor Growth Modeling with Gradient Boosting Machines for Glioma Segmentation
Spyridon Bakas; Ke Zeng; Aristeidis Sotiras; Saima Rathore; Hamed Akbari; Bilwaj Gaonkar et al.
144-155
Parameter Learning for CRF-Based Tissue Segmentation of Brain Tumors
Raphael Meier; Venetia Karamitsou; Simon Habegger; Roland Wiest; Mauricio Reyes
156-167
Brain Tumor Segmentation Using a Generative Model with an RBM Prior on Tumor Shape
Mikael Agn; Oula Puonti; Per Munck af Rosenschöld; Ian Law; Koen Van Leemput
168-180
Multi-modal Brain Tumor Segmentation Using Stacked Denoising Autoencoders
Kiran Vaidhya; Subramaniam Thirunavukkarasu; Varghese Alex; Ganapathy Krishnamurthi
181-194
A Convolutional Neural Network Approach to Brain Tumor Segmentation
Mohammad Havaei; Francis Dutil; Chris Pal; Hugo Larochelle; Pierre-Marc Jodoin
195-208
Chapters/HeadingsAuthor(s)PagesInfo
Showing 1 to 20 of 30 entries
Similar Books
Similar Chapters
Similar Thesis

Similar News

Similar Articles
Similar Article Headings