Chapter: Unsupervised 3-D Feature Learning for Mild Traumatic Brain Injury

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Chapters/Headings	Author(s)	Pages	Info
Front Matter		I-XI
Front Matter		1-1
Fully Automated Patch-Based Image Restoration: Application to Pathology Inpainting	Ferran Prados; M. Jorge Cardoso; Niamh Cawley; Baris Kanber; Olga Ciccarelli; Claudia A. M. Gandini Wheeler-Kingshott et al.	3-15
Towards a Second Brain Images of Tumours for Evaluation (BITE2) Database	I. J. Gerard; C. Couturier; M. Kersten-Oertel; S. Drouin; D. De Nigris; J. A. Hall et al.	16-22
Topological Measures of Connectomics for Low Grades Glioma	Benjamin Amoah; Alessandro Crimi	23-31
Multi-modal Registration Improves Group Discrimination in Pediatric Traumatic Brain Injury	Emily L. Dennis; Faisal Rashid; Julio Villalon-Reina; Gautam Prasad; Joshua Faskowitz; Talin Babikian et al.	32-42
An Online Platform for the Automatic Reporting of Multi-parametric Tissue Signatures: A Case Study in Glioblastoma	Javier Juan-Albarracín; Elies Fuster-Garcia; Juan M. García-Gómez	43-51
A Fast Approach to Automatic Detection of Brain Lesions	Subhranil Koley; Chandan Chakraborty; Caterina Mainero; Bruce Fischl; Iman Aganj	52-61
Front Matter		63-63
Improving Boundary Classification for Brain Tumor Segmentation and Longitudinal Disease Progression	Ramandeep S. Randhawa; Ankit Modi; Parag Jain; Prashant Warier	65-74
Brain Tumor Segmentation Using a Fully Convolutional Neural Network with Conditional Random Fields	Xiaomei Zhao; Yihong Wu; Guidong Song; Zhenye Li; Yong Fan; Yazhuo Zhang	75-87
Brain Tumor Segmentation with Optimized Random Forest	László Lefkovits; Szidónia Lefkovits; László Szilágyi	88-99
CRF-Based Brain Tumor Segmentation: Alleviating the Shrinking Bias	Raphael Meier; Urspeter Knecht; Roland Wiest; Mauricio Reyes	100-107
Fully Convolutional Deep Residual Neural Networks for Brain Tumor Segmentation	Peter D. Chang	108-118
Nabla-net: A Deep Dag-Like Convolutional Architecture for Biomedical Image Segmentation	Richard McKinley; Rik Wepfer; Tom Gundersen; Franca Wagner; Andrew Chan; Roland Wiest et al.	119-128
Brain Tumor Segmantation Using Random Forest Trained on Iteratively Selected Patients	Abdelrahman Ellwaa; Ahmed Hussein; Essam AlNaggar; Mahmoud Zidan; Michael Zaki; Mohamed A. Ismail et al.	129-137
DeepMedic for Brain Tumor Segmentation	Konstantinos Kamnitsas; Enzo Ferrante; Sarah Parisot; Christian Ledig; Aditya V. Nori; Antonio Criminisi et al.	138-149
3D Convolutional Neural Networks for Brain Tumor Segmentation: A Comparison of Multi-resolution Architectures	Adrià Casamitjana; Santi Puch; Asier Aduriz; Verónica Vilaplana	150-161
Anatomy-Guided Brain Tumor Segmentation and Classification	Bi Song; Chen-Rui Chou; Xiaojing Chen; Albert Huang; Ming-Chang Liu	162-170
Lifted Auto-Context Forests for Brain Tumour Segmentation	Loic Le Folgoc; Aditya V. Nori; Siddharth Ancha; Antonio Criminisi	171-183
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