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2nd Brainles@MICCAI 2016: Athens, Greece
- Alessandro Crimi, Bjoern H. Menze
, Oskar Maier
Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries - Second International Workshop, BrainLes 2016, with the Challenges on BRATS, ISLES and mTOP 2016, Held in Conjunction with MICCAI 2016, Athens, Greece, October 17, 2016, Revised Selected Papers. Lecture Notes in Computer Science 10154, 2016, ISBN 978-3-319-55523-2
Brain Lesion Image Analysis
- Ferran Prados
Fully Automated Patch-Based Image Restoration: Application to Pathology Inpainting. 3-15 - Ian J. Gerard, C. Couturier, Marta Kersten-Oertel, Simon Drouin, Dante De Nigris, Jeffery A. Hall, Kelvin Mok, Kevin Petrecca, Tal Arbel, D. Louis Collins
Towards a Second Brain Images of Tumours for Evaluation (BITE2) Database. 16-22 - Benjamin Amoah
Topological Measures of Connectomics for Low Grades Glioma. 23-31 - Emily L. Dennis, Faisal Rashid, Julio Villalon-Reina, Gautam Prasad, Joshua Faskowitz, Talin Babikian
Multi-modal Registration Improves Group Discrimination in Pediatric Traumatic Brain Injury. 32-42 - Javier Juan-Albarracín
An Online Platform for the Automatic Reporting of Multi-parametric Tissue Signatures: A Case Study in Glioblastoma. 43-51 - Subhranil Koley, Chandan Chakraborty, Caterina Mainero, Bruce Fischl, Iman Aganj
A Fast Approach to Automatic Detection of Brain Lesions. 52-61
Brain Tumor Image Segmentation
- Ramandeep S. Randhawa, Ankit Modi, Parag Jain, Prashant Warier:
Improving Boundary Classification for Brain Tumor Segmentation and Longitudinal Disease Progression. 65-74 - Xiaomei Zhao, Yihong Wu, Guidong Song, Zhenye Li, Yong Fan, Yazhuo Zhang:
Brain Tumor Segmentation Using a Fully Convolutional Neural Network with Conditional Random Fields. 75-87 - László Lefkovits, Szidónia Lefkovits
Brain Tumor Segmentation with Optimized Random Forest. 88-99 - Raphael Meier, Urspeter Knecht, Roland Wiest
CRF-Based Brain Tumor Segmentation: Alleviating the Shrinking Bias. 100-107 - Peter D. Chang:
Fully Convolutional Deep Residual Neural Networks for Brain Tumor Segmentation. 108-118 - Richard McKinley
Nabla-net: A Deep Dag-Like Convolutional Architecture for Biomedical Image Segmentation. 119-128 - Abdelrahman Ellwaa, Ahmed Hussein, Essam AlNaggar, Mahmoud Zidan, Michael Zaki, Mohamed A. Ismail, Nagia M. Ghanem:
Brain Tumor Segmantation Using Random Forest Trained on Iteratively Selected Patients. 129-137 - Konstantinos Kamnitsas
DeepMedic for Brain Tumor Segmentation. 138-149 - Adria Casamitjana
3D Convolutional Neural Networks for Brain Tumor Segmentation: A Comparison of Multi-resolution Architectures. 150-161 - Bi Song, Chen-Rui Chou, Xiaojing Chen, Albert Huang, Ming-Chang Liu:
Anatomy-Guided Brain Tumor Segmentation and Classification. 162-170 - Loïc Le Folgoc
Lifted Auto-Context Forests for Brain Tumour Segmentation. 171-183 - Ke Zeng, Spyridon Bakas
Segmentation of Gliomas in Pre-operative and Post-operative Multimodal Magnetic Resonance Imaging Volumes Based on a Hybrid Generative-Discriminative Framework. 184-194 - Dimah Dera
Interactive Semi-automated Method Using Non-negative Matrix Factorization and Level Set Segmentation for the BRATS Challenge. 195-205 - Edgar A. Rios Piedra, Benjamin M. Ellingson, Ricky K. Taira, Suzie El-Saden, Alex A. T. Bui, William Hsu
Brain Tumor Segmentation by Variability Characterization of Tumor Boundaries. 206-216
Ischemic Stroke Lesion Image Segmentation
- Oskar Maier
Predicting Stroke Lesion and Clinical Outcome with Random Forests. 219-230 - Youngwon Choi
Ensemble of Deep Convolutional Neural Networks for Prognosis of Ischemic Stroke. 231-243 - Qaiser Mahmood, Abdul Basit
Prediction of Ischemic Stroke Lesion and Clinical Outcome in Multi-modal MRI Images Using Random Forests. 244-255
Mild Traumatic Brain Injury Outcome Prediction
- Yunliang Cai, Songbai Ji:
Combining Deep Learning Networks with Permutation Tests to Predict Traumatic Brain Injury Outcome. 259-270 - Roberto Bellotti
Mild Traumatic Brain Injury Outcome Prediction Based on Both Graph and K-nn Methods. 271-281 - Po-Yu Kao, Eduardo Rojas, Jefferson W. Chen, Angela Zhang, B. S. Manjunath:
Unsupervised 3-D Feature Learning for Mild Traumatic Brain Injury. 282-290
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