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ORCID3rd Brainles@MICCAI 2017: Quebec City, QC, Canada
- Alessandro Crimi, Spyridon Bakas, Hugo J. Kuijf, Bjoern H. Menze, Mauricio Reyes:
Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries - Third International Workshop, BrainLes 2017, Held in Conjunction with MICCAI 2017, Quebec City, QC, Canada, September 14, 2017, Revised Selected Papers. Lecture Notes in Computer Science 10670, Springer 2018, ISBN 978-3-319-75237-2
Invited Talks
- Ipek Oguz, Aaron Carass, Dzung L. Pham, Snehashis Roy
, Nagesh Subbana, Peter A. Calabresi, Paul A. Yushkevich, Russell T. Shinohara, Jerry L. Prince:
Dice Overlap Measures for Objects of Unknown Number: Application to Lesion Segmentation. 3-14 - Andrew Doyle, Colm Elliott, Zahra Karimaghaloo, Nagesh K. Subbanna, Douglas L. Arnold, Tal Arbel:
Lesion Detection, Segmentation and Prediction in Multiple Sclerosis Clinical Trials. 15-28
Brain Lesion Image Analysis
- Simon Andermatt, Simon Pezold, Philippe C. Cattin:
Automated Segmentation of Multiple Sclerosis Lesions Using Multi-dimensional Gated Recurrent Units. 31-42 - Greg M. Fleishman, Alessandra Valcarcel, Dzung L. Pham, Snehashis Roy, Peter A. Calabresi, Paul A. Yushkevich, Russell T. Shinohara, Ipek Oguz:
Joint Intensity Fusion Image Synthesis Applied to Multiple Sclerosis Lesion Segmentation. 43-54 - Nima Masoumi, Yiming Xiao, Hassan Rivaz:
MARCEL (Inter-Modality Affine Registration with CorrELation Ratio): An Application for Brain Shift Correction in Ultrasound-Guided Brain Tumor Resection. 55-63 - Lucas Fidon, Wenqi Li, Luis C. García-Peraza-Herrera, Jinendra Ekanayake, Neil Kitchen, Sébastien Ourselin, Tom Vercauteren:
Generalised Wasserstein Dice Score for Imbalanced Multi-class Segmentation Using Holistic Convolutional Networks. 64-76 - Guoqing Wu, Yuanyuan Wang, Jinhua Yu:
Overall Survival Time Prediction for High Grade Gliomas Based on Sparse Representation Framework. 77-87 - Christophe Maggia, Thomas Mistral, Senan Doyle, Florence Forbes, Alexandre Krainik, Damien Galanaud, Emmanuelle Schmitt, Stéphane Kremer, Irène Troprès, Emmanuel Luc Barbier, Jean-François Payen, Michel Dojat:
Traumatic Brain Lesion Quantification Based on Mean Diffusivity Changes. 88-99 - Matt Higger, Martha Shenton, Sylvain Bouix:
Pairwise, Ordinal Outlier Detection of Traumatic Brain Injuries. 100-110 - Senan Doyle, Florence Forbes, Assia Jaillard, Olivier Heck, Olivier Detante, Michel Dojat:
Sub-acute and Chronic Ischemic Stroke Lesion MRI Segmentation. 111-122 - Zeju Li, Yuanyuan Wang, Jinhua Yu:
Brain Tumor Segmentation Using an Adversarial Network. 123-132 - Saima Rathore, Spyridon Bakas, Sarthak Pati, Hamed Akbari, Ratheesh Kalarot, Patmaa Sridharan, Martin Rozycki, Mark Bergman, Birkan Tunç, Ragini Verma, Michel Bilello, Christos Davatzikos:
Brain Cancer Imaging Phenomics Toolkit (brain-CaPTk): An Interactive Platform for Quantitative Analysis of Glioblastoma. 133-145
Brain Tumor Image Segmentation
- Yuexiang Li, Linlin Shen:
Deep Learning Based Multimodal Brain Tumor Diagnosis. 149-158 - Ashish Phophalia, Pradipta Maji:
Multimodal Brain Tumor Segmentation Using Ensemble of Forest Method. 159-168 - Richard McKinley, Alain Jungo, Roland Wiest, Mauricio Reyes:
Pooling-Free Fully Convolutional Networks with Dense Skip Connections for Semantic Segmentation, with Application to Brain Tumor Segmentation. 169-177 - Guotai Wang, Wenqi Li, Sébastien Ourselin, Tom Vercauteren:
Automatic Brain Tumor Segmentation Using Cascaded Anisotropic Convolutional Neural Networks. 178-190 - Xiaomei Zhao, Yihong Wu, Guidong Song, Zhenye Li, Yazhuo Zhang, Yong Fan:
3D Brain Tumor Segmentation Through Integrating Multiple 2D FCNNs. 191-203 - Mohammadreza Soltaninejad, Lei Zhang, Tryphon Lambrou, Guang Yang, Nigel M. Allinson, Xujiong Ye:
MRI Brain Tumor Segmentation and Patient Survival Prediction Using Random Forests and Fully Convolutional Networks. 204-215 - Alex Varghese, Mohammed Safwan K. P., Ganapathy Krishnamurthi:
Automatic Segmentation and Overall Survival Prediction in Gliomas Using Fully Convolutional Neural Network and Texture Analysis. 216-225 - Ramiro Germán Rodríguez Colmeiro, Claudio A. Verrastro, Thomas Grosges:
Multimodal Brain Tumor Segmentation Using 3D Convolutional Networks. 226-240 - Mina Rezaei, Konstantin Harmuth, Willi Gierke, Thomas Kellermeier, Martin Fischer, Haojin Yang, Christoph Meinel:
A Conditional Adversarial Network for Semantic Segmentation of Brain Tumor. 241-252 - Marc Moreno Lopez, Jonathan Ventura:
Dilated Convolutions for Brain Tumor Segmentation in MRI Scans. 253-262 - Kamlesh Pawar, Zhaolin Chen, N. Jon Shah, Gary F. Egan:
Residual Encoder and Convolutional Decoder Neural Network for Glioma Segmentation. 263-273 - Fan Zhou, Tengfei Li, Heng Li, Hongtu Zhu:
TPCNN: Two-Phase Patch-Based Convolutional Neural Network for Automatic Brain Tumor Segmentation and Survival Prediction. 274-286 - Fabian Isensee, Philipp Kickingereder, Wolfgang Wick, Martin Bendszus, Klaus H. Maier-Hein:
Brain Tumor Segmentation and Radiomics Survival Prediction: Contribution to the BRATS 2017 Challenge. 287-297 - Mobarakol Islam, Hongliang Ren:
Multi-modal PixelNet for Brain Tumor Segmentation. 298-308 - Mazhar Shaikh, Ganesh Anand, Gagan Acharya, Abhijit Amrutkar, Alex Varghese, Ganapathy Krishnamurthi:
Brain Tumor Segmentation Using Dense Fully Convolutional Neural Network. 309-319 - Reza Pourreza, Ying Zhuge, Holly Ning, Robert W. Miller:
Brain Tumor Segmentation in MRI Scans Using Deeply-Supervised Neural Networks. 320-331 - Laura Silvana Castillo, Laura Alexandra Daza, Luis Carlos Rivera, Pablo Arbeláez:
Brain Tumor Segmentation and Parsing on MRIs Using Multiresolution Neural Networks. 332-343 - Geena Kim:
Brain Tumor Segmentation Using Deep Fully Convolutional Neural Networks. 344-357 - Zeina A. Shboul, Lasitha Vidyaratne, Mahbubul Alam, Khan M. Iftekharuddin:
Glioblastoma and Survival Prediction. 358-368 - Egor Krivov, Maxim Pisov, Mikhail Belyaev:
MRI Augmentation via Elastic Registration for Brain Lesions Segmentation. 369-380 - Adria Casamitjana, Marcel Catà, Irina Sánchez, Marc Combalia, Verónica Vilaplana:
Cascaded V-Net Using ROI Masks for Brain Tumor Segmentation. 381-391 - Andrew Jesson, Tal Arbel:
Brain Tumor Segmentation Using a 3D FCN with Multi-scale Loss. 392-402 - Sara Sedlar:
Brain Tumor Segmentation Using a Multi-path CNN Based Method. 403-422 - Yan Hu, Yong Xia:
3D Deep Neural Network-Based Brain Tumor Segmentation Using Multimodality Magnetic Resonance Sequences. 423-434 - Alexander F. I. Osman:
Automated Brain Tumor Segmentation on Magnetic Resonance Images and Patient's Overall Survival Prediction Using Support Vector Machines. 435-449 - Konstantinos Kamnitsas, Wenjia Bai, Enzo Ferrante, Steven G. McDonagh, Matthew Sinclair, Nick Pawlowski, Martin Rajchl, Matthew C. H. Lee, Bernhard Kainz, Daniel Rueckert, Ben Glocker:
Ensembles of Multiple Models and Architectures for Robust Brain Tumour Segmentation. 450-462 - Halandur Nagaraja Bharath, Steven Colleman, Diana Maria Sima, Sabine Van Huffel:
Tumor Segmentation from Multimodal MRI Using Random Forest with Superpixel and Tensor Based Feature Extraction. 463-473 - Alain Jungo, Richard McKinley, Raphael Meier, Urspeter Knecht, Luis Vera, Julián Pérez-Beteta, David Molina-García, Víctor M. Pérez-García, Roland Wiest, Mauricio Reyes:
Towards Uncertainty-Assisted Brain Tumor Segmentation and Survival Prediction. 474-485
Ischemic Stroke Lesion Image Segmentation
- Mariana P. Bento, Roberto Medeiros de Souza, Roberto de Alencar Lotufo, Richard Frayne, Letícia Rittner:
WMH Segmentation Challenge: A Texture-Based Classification Approach. 489-500 - Yongchao Xu, Thierry Géraud, Élodie Puybareau, Isabelle Bloch, Joseph Chazalon:
White Matter Hyperintensities Segmentation in a Few Seconds Using Fully Convolutional Network and Transfer Learning. 501-514
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