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Publication search results
found 27 matches
- 2016
- Benjamin Amoah, Alessandro Crimi:
Topological Measures of Connectomics for Low Grades Glioma. BrainLes@MICCAI 2016: 23-31 - Roberto Bellotti, Angela Lombardi, Cataldo Guaragnella, Nicola Amoroso, Andrea Tateo, Sabina Tangaro:
Mild Traumatic Brain Injury Outcome Prediction Based on Both Graph and K-nn Methods. BrainLes@MICCAI 2016: 271-281 - Yunliang Cai, Songbai Ji:
Combining Deep Learning Networks with Permutation Tests to Predict Traumatic Brain Injury Outcome. BrainLes@MICCAI 2016: 259-270 - Adria Casamitjana, Santi Puch, Asier Aduriz, Verónica Vilaplana:
3D Convolutional Neural Networks for Brain Tumor Segmentation: A Comparison of Multi-resolution Architectures. BrainLes@MICCAI 2016: 150-161 - Peter D. Chang:
Fully Convolutional Deep Residual Neural Networks for Brain Tumor Segmentation. BrainLes@MICCAI 2016: 108-118 - Youngwon Choi, Yongchan Kwon, Han-Byul Lee, Beomjoon Kim, Myunghee Cho Paik, Joong-Ho Won:
Ensemble of Deep Convolutional Neural Networks for Prognosis of Ischemic Stroke. BrainLes@MICCAI 2016: 231-243 - Emily L. Dennis, Faisal Rashid, Julio Villalon-Reina, Gautam Prasad, Joshua Faskowitz, Talin Babikian, Richard Mink, Christopher Babbitt, Jeffrey Johnson, Christopher C. Giza, Robert F. Asarnow, Paul M. Thompson:
Multi-modal Registration Improves Group Discrimination in Pediatric Traumatic Brain Injury. BrainLes@MICCAI 2016: 32-42 - Dimah Dera, Fabio Raman, Nidhal Bouaynaya, Hassan M. Fathallah-Shaykh:
Interactive Semi-automated Method Using Non-negative Matrix Factorization and Level Set Segmentation for the BRATS Challenge. BrainLes@MICCAI 2016: 195-205 - 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. BrainLes@MICCAI 2016: 129-137 - Loïc Le Folgoc, Aditya V. Nori, Siddharth Ancha, Antonio Criminisi:
Lifted Auto-Context Forests for Brain Tumour Segmentation. BrainLes@MICCAI 2016: 171-183 - 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. BrainLes@MICCAI 2016: 16-22 - Javier Juan-Albarracín, Elies Fuster-García, Juan Miguel García-Gómez:
An Online Platform for the Automatic Reporting of Multi-parametric Tissue Signatures: A Case Study in Glioblastoma. BrainLes@MICCAI 2016: 43-51 - Konstantinos Kamnitsas, Enzo Ferrante, Sarah Parisot, Christian Ledig, Aditya V. Nori, Antonio Criminisi, Daniel Rueckert, Ben Glocker:
DeepMedic for Brain Tumor Segmentation. BrainLes@MICCAI 2016: 138-149 - Po-Yu Kao, Eduardo Rojas, Jefferson W. Chen, Angela Zhang, B. S. Manjunath:
Unsupervised 3-D Feature Learning for Mild Traumatic Brain Injury. BrainLes@MICCAI 2016: 282-290 - Subhranil Koley, Chandan Chakraborty, Caterina Mainero, Bruce Fischl, Iman Aganj:
A Fast Approach to Automatic Detection of Brain Lesions. BrainLes@MICCAI 2016: 52-61 - László Lefkovits, Szidónia Lefkovits, László Szilágyi:
Brain Tumor Segmentation with Optimized Random Forest. BrainLes@MICCAI 2016: 88-99 - Qaiser Mahmood, Abdul Basit:
Prediction of Ischemic Stroke Lesion and Clinical Outcome in Multi-modal MRI Images Using Random Forests. BrainLes@MICCAI 2016: 244-255 - Oskar Maier, Heinz Handels:
Predicting Stroke Lesion and Clinical Outcome with Random Forests. BrainLes@MICCAI 2016: 219-230 - Richard McKinley, Rik Wepfer, Tom Gundersen, Franca Wagner, Andrew Chan, Roland Wiest, Mauricio Reyes:
Nabla-net: A Deep Dag-Like Convolutional Architecture for Biomedical Image Segmentation. BrainLes@MICCAI 2016: 119-128 - Raphael Meier, Urspeter Knecht, Roland Wiest, Mauricio Reyes:
CRF-Based Brain Tumor Segmentation: Alleviating the Shrinking Bias. BrainLes@MICCAI 2016: 100-107 - 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. BrainLes@MICCAI 2016: 206-216 - Ferran Prados, M. Jorge Cardoso, Niamh Cawley, Baris Kanber, Olga Ciccarelli, Claudia A. M. Wheeler-Kingshott, Sébastien Ourselin:
Fully Automated Patch-Based Image Restoration: Application to Pathology Inpainting. BrainLes@MICCAI 2016: 3-15 - Ramandeep S. Randhawa, Ankit Modi, Parag Jain, Prashant Warier:
Improving Boundary Classification for Brain Tumor Segmentation and Longitudinal Disease Progression. BrainLes@MICCAI 2016: 65-74 - Bi Song, Chen-Rui Chou, Xiaojing Chen, Albert Huang, Ming-Chang Liu:
Anatomy-Guided Brain Tumor Segmentation and Classification. BrainLes@MICCAI 2016: 162-170 - Ke Zeng, Spyridon Bakas, Aristeidis Sotiras, Hamed Akbari, Martin Rozycki, Saima Rathore, Sarthak Pati, Christos Davatzikos:
Segmentation of Gliomas in Pre-operative and Post-operative Multimodal Magnetic Resonance Imaging Volumes Based on a Hybrid Generative-Discriminative Framework. BrainLes@MICCAI 2016: 184-194 - 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. BrainLes@MICCAI 2016: 75-87 - Alessandro Crimi, Bjoern H. Menze, Oskar Maier, Mauricio Reyes, Stefan Winzeck, Heinz Handels:
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 [contents]
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