Search results for "Brainles@MICCAI"

Hits ?▲	Authors	Title	Venue	Year	Link
1	Spyridon Bakas, Alessandro Crimi, Ujjwal Baid, Sylwia Malec, Monika Pytlarz, Bhakti Baheti, Maximilian Zenk, Reuben Dorent (eds.)	Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries - 8th International Workshop, BrainLes 2022, Held in Conjunction with MICCAI 2022, Singapore, September 18, 2022, Revised Selected Papers	BrainLes@MICCAI	2023	DBLP DOI BibTeX RDF
1	Ramtin Mojtahedi, Mohammad Hamghalam, Amber L. Simpson	Multi-modal Brain Tumour Segmentation Using Transformer with Optimal Patch Size.	BrainLes@MICCAI	2022	DBLP DOI BibTeX RDF
1	Luca Canalini, Jan Klein 0001, Annika Gerken, Stefan Heldmann, Alessa Hering, Horst K. Hahn	Iterative Method to Register Longitudinal MRI Acquisitions in Neurosurgical Context.	BrainLes@MICCAI	2022	DBLP DOI BibTeX RDF
1	Bhakti Baheti, Sarthak Pati, Bjoern H. Menze, Spyridon Bakas	Leveraging 2D Deep Learning ImageNet-trained Models for Native 3D Medical Image Analysis.	BrainLes@MICCAI	2022	DBLP DOI BibTeX RDF
1	Jihoon Cho, Jinah Park	Multi-modal Transformer for Brain Tumor Segmentation.	BrainLes@MICCAI	2022	DBLP DOI BibTeX RDF
1	Md. Shibly Sadique, Md Monibor Rahman, Walia Farzana, Ahmed G. Temtam, Khan M. Iftekharuddin	Brain Tumor Segmentation Using Neural Ordinary Differential Equations with UNet-Context Encoding Network.	BrainLes@MICCAI	2022	DBLP DOI BibTeX RDF
1	Jueqi Wang, Derek Berger, Erin L. Mazerolle, Othman Soufan, Jacob Levman	Temporally Adjustable Longitudinal Fluid-Attenuated Inversion Recovery MRI Estimation / Synthesis for Multiple Sclerosis.	BrainLes@MICCAI	2022	DBLP DOI BibTeX RDF
1	Selene De Sutter, Wietse Geens, Matías N. Bossa, Anne-Marie Vanbinst, Johnny Duerinck, Jef Vandemeulebroucke	Probabilistic Tissue Mapping for Tumor Segmentation and Infiltration Detection of Glioma.	BrainLes@MICCAI	2022	DBLP DOI BibTeX RDF
1	Ahmed Ghorbel, Ahmed Aldahdooh, Shadi Albarqouni, Wassim Hamidouche	Transformer Based Models for Unsupervised Anomaly Segmentation in Brain MR Images.	BrainLes@MICCAI	2022	DBLP DOI BibTeX RDF
1	Sebastian Otálora, Jonathan Rafael-Patino, Antoine Madrona, Elda Fischi Gomez, Veronica Ravano, Tobias Kober, Søren Christensen, Arsany Hakim, Roland Wiest, Jonas Richiardi, Richard McKinley	Weighting Schemes for Federated Learning in Heterogeneous and Imbalanced Segmentation Datasets.	BrainLes@MICCAI	2022	DBLP DOI BibTeX RDF
1	Florian Kofler, Ivan Ezhov, Lucas Fidon, Izabela Horvath, Ezequiel de la Rosa, John LaMaster, Hongwei Li 0004, Tom Finck, Suprosanna Shit, Johannes C. Paetzold, Spyridon Bakas, Marie Piraud, Jan Kirschke, Tom Vercauteren, Claus Zimmer, Benedikt Wiestler, Bjoern H. Menze	Deep Quality Estimation: Creating Surrogate Models for Human Quality Ratings.	BrainLes@MICCAI	2022	DBLP DOI BibTeX RDF
1	Krzysztof Kotowski, Bartosz Machura, Jakub Nalepa	Robustifying Automatic Assessment of Brain Tumor Progression from MRI.	BrainLes@MICCAI	2022	DBLP DOI BibTeX RDF
1	Felix Meissen, Johannes C. Paetzold, Georgios Kaissis, Daniel Rueckert	Unsupervised Anomaly Localization with Structural Feature-Autoencoders.	BrainLes@MICCAI	2022	DBLP DOI BibTeX RDF
1	Ramy A. Zeineldin, Mohamed E. Karar, Oliver Burgert, Franziska Mathis-Ullrich	Multimodal CNN Networks for Brain Tumor Segmentation in MRI: A BraTS 2022 Challenge Solution.	BrainLes@MICCAI	2022	DBLP DOI BibTeX RDF
1	Tony C. W. Mok, Albert C. S. Chung	Robust Image Registration with Absent Correspondences in Pre-operative and Follow-Up Brain MRI Scans of Diffuse Glioma Patients.	BrainLes@MICCAI	2022	DBLP DOI BibTeX RDF
1	Philippe Bouchet, Jean-Baptiste Deloges, Hugo Canton-Bacara, Gaëtan Pusel, Lucas Pinot, Othman Elbaz, Nicolas Boutry	An Efficient Cascade of U-Net-Like Convolutional Neural Networks Devoted to Brain Tumor Segmentation.	BrainLes@MICCAI	2022	DBLP DOI BibTeX RDF
1	Shiyu Lu, Hao Wang, Chuyang Ye	Semi-supervised Intracranial Aneurysm Segmentation with Selected Unlabeled Data.	BrainLes@MICCAI	2022	DBLP DOI BibTeX RDF
1	Wenting Duan, Lei Zhang 0043, Jordan Colman, Giosue Gulli, Xujiong Ye	MidFusNet: Mid-dense Fusion Network for Multi-modal Brain MRI Segmentation.	BrainLes@MICCAI	2022	DBLP DOI BibTeX RDF
1	Mingyuan Meng, Lei Bi 0001, David Feng 0003, Jinman Kim	Brain Tumor Sequence Registration with Non-iterative Coarse-To-Fine Networks and Dual Deep Supervision.	BrainLes@MICCAI	2022	DBLP DOI BibTeX RDF
1	Qingfan Hou, Zhuofei Wang, Jiao Wang, Jian Jiang, Yanjun Peng	Diffraction Block in Extended nn-UNet for Brain Tumor Segmentation.	BrainLes@MICCAI	2022	DBLP DOI BibTeX RDF
1	Jia-Wei Liao, Tsung-Ming Huang, Tiexiang Li, Wen-Wei Lin, Han Wang, Shing-Tung Yau	An UNet-Based Brain Tumor Segmentation Framework via Optimal Mass Transportation Pre-processing.	BrainLes@MICCAI	2022	DBLP DOI BibTeX RDF
1	Michal Futrega, Michal Marcinkiewicz, Pablo Ribalta	Tuning U-Net for Brain Tumor Segmentation.	BrainLes@MICCAI	2022	DBLP DOI BibTeX RDF
1	Krzysztof Kotowski, Szymon Adamski, Bartosz Machura, Lukasz Zarudzki, Jakub Nalepa	Infusing Domain Knowledge into nnU-Nets for Segmenting Brain Tumors in MRI.	BrainLes@MICCAI	2022	DBLP DOI BibTeX RDF
1	Christoph Großbröhmer, Hanna Siebert, Lasse Hansen, Mattias P. Heinrich	Employing ConvexAdam for BraTS-Reg.	BrainLes@MICCAI	2022	DBLP DOI BibTeX RDF
1	Marek Wodzinski, Artur Jurgas, Niccolò Marini, Manfredo Atzori, Henning Müller	Unsupervised Method for Intra-patient Registration of Brain Magnetic Resonance Images Based on Objective Function Weighting by Inverse Consistency: Contribution to the BraTS-Reg Challenge.	BrainLes@MICCAI	2022	DBLP DOI BibTeX RDF
1	Alessandro Crimi, Spyridon Bakas, Hugo J. Kuijf, Bjoern H. Menze, Mauricio Reyes 0001 (eds.)	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	BrainLes@MICCAI	2018	DBLP DOI BibTeX RDF
1	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.	BrainLes@MICCAI	2017	DBLP DOI BibTeX RDF
1	Reza Pourreza 0003, Ying Zhuge, Holly Ning, Robert W. Miller	Brain Tumor Segmentation in MRI Scans Using Deeply-Supervised Neural Networks.	BrainLes@MICCAI	2017	DBLP DOI BibTeX RDF
1	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.	BrainLes@MICCAI	2017	DBLP DOI BibTeX RDF
1	Egor Krivov, Maxim Pisov, Mikhail Belyaev	MRI Augmentation via Elastic Registration for Brain Lesions Segmentation.	BrainLes@MICCAI	2017	DBLP DOI BibTeX RDF
1	Senan Doyle, Florence Forbes, Assia Jaillard, Olivier Heck, Olivier Detante, Michel Dojat	Sub-acute and Chronic Ischemic Stroke Lesion MRI Segmentation.	BrainLes@MICCAI	2017	DBLP DOI BibTeX RDF
1	Matt Higger, Martha Shenton, Sylvain Bouix	Pairwise, Ordinal Outlier Detection of Traumatic Brain Injuries.	BrainLes@MICCAI	2017	DBLP DOI BibTeX RDF
1	Mazhar Shaikh, Ganesh Anand, Gagan Acharya, Abhijit Amrutkar, Alex Varghese, Ganapathy Krishnamurthi	Brain Tumor Segmentation Using Dense Fully Convolutional Neural Network.	BrainLes@MICCAI	2017	DBLP DOI BibTeX RDF
1	Zeina A. Shboul, Lasitha Vidyaratne, Mahbubul Alam, Khan M. Iftekharuddin	Glioblastoma and Survival Prediction.	BrainLes@MICCAI	2017	DBLP DOI BibTeX RDF
1	Alexander F. I. Osman	Automated Brain Tumor Segmentation on Magnetic Resonance Images and Patient's Overall Survival Prediction Using Support Vector Machines.	BrainLes@MICCAI	2017	DBLP DOI BibTeX RDF
1	Fan Zhou 0003, Tengfei Li 0001, Heng Li, Hongtu Zhu	TPCNN: Two-Phase Patch-Based Convolutional Neural Network for Automatic Brain Tumor Segmentation and Survival Prediction.	BrainLes@MICCAI	2017	DBLP DOI BibTeX RDF
1	Yuexiang Li, Linlin Shen	Deep Learning Based Multimodal Brain Tumor Diagnosis.	BrainLes@MICCAI	2017	DBLP DOI BibTeX RDF
1	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.	BrainLes@MICCAI	2017	DBLP DOI BibTeX RDF
1	Guoqing Wu 0003, Yuanyuan Wang 0001, Jinhua Yu	Overall Survival Time Prediction for High Grade Gliomas Based on Sparse Representation Framework.	BrainLes@MICCAI	2017	DBLP DOI BibTeX RDF
1	Kamlesh Pawar, Zhaolin Chen, N. Jon Shah, Gary F. Egan	Residual Encoder and Convolutional Decoder Neural Network for Glioma Segmentation.	BrainLes@MICCAI	2017	DBLP DOI BibTeX RDF
1	Mohammadreza Soltaninejad, Lei Zhang 0043, Tryphon Lambrou, Guang Yang 0006, Nigel M. Allinson, Xujiong Ye	MRI Brain Tumor Segmentation and Patient Survival Prediction Using Random Forests and Fully Convolutional Networks.	BrainLes@MICCAI	2017	DBLP DOI BibTeX RDF
1	Guotai Wang, Wenqi Li 0001, Sébastien Ourselin, Tom Vercauteren	Automatic Brain Tumor Segmentation Using Cascaded Anisotropic Convolutional Neural Networks.	BrainLes@MICCAI	2017	DBLP DOI BibTeX RDF
1	Xiaomei Zhao, Yihong Wu 0002, Guidong Song, Zhenye Li, Yazhuo Zhang, Yong Fan 0001	3D Brain Tumor Segmentation Through Integrating Multiple 2D FCNNs.	BrainLes@MICCAI	2017	DBLP DOI BibTeX RDF
1	Yan Hu, Yong Xia 0001	3D Deep Neural Network-Based Brain Tumor Segmentation Using Multimodality Magnetic Resonance Sequences.	BrainLes@MICCAI	2017	DBLP DOI BibTeX RDF
1	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.	BrainLes@MICCAI	2017	DBLP DOI BibTeX RDF
1	Ashish Phophalia, Pradipta Maji	Multimodal Brain Tumor Segmentation Using Ensemble of Forest Method.	BrainLes@MICCAI	2017	DBLP DOI BibTeX RDF
1	Alex Varghese, Mohammed Safwan K. P., Ganapathy Krishnamurthi	Automatic Segmentation and Overall Survival Prediction in Gliomas Using Fully Convolutional Neural Network and Texture Analysis.	BrainLes@MICCAI	2017	DBLP DOI BibTeX RDF
1	Andrew Jesson, Tal Arbel	Brain Tumor Segmentation Using a 3D FCN with Multi-scale Loss.	BrainLes@MICCAI	2017	DBLP DOI BibTeX RDF
1	Andrew Doyle, Colm Elliott, Zahra Karimaghaloo, Nagesh K. Subbanna, Douglas L. Arnold, Tal Arbel	Lesion Detection, Segmentation and Prediction in Multiple Sclerosis Clinical Trials.	BrainLes@MICCAI	2017	DBLP DOI BibTeX RDF
1	Sara Sedlar	Brain Tumor Segmentation Using a Multi-path CNN Based Method.	BrainLes@MICCAI	2017	DBLP DOI BibTeX RDF
1	Mina Rezaei, Konstantin Harmuth, Willi Gierke, Thomas Kellermeier, Martin Fischer 0004, Haojin Yang, Christoph Meinel	A Conditional Adversarial Network for Semantic Segmentation of Brain Tumor.	BrainLes@MICCAI	2017	DBLP DOI BibTeX RDF
1	Lucas Fidon, Wenqi Li 0001, 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.	BrainLes@MICCAI	2017	DBLP DOI BibTeX RDF
1	Marc Moreno Lopez, Jonathan Ventura	Dilated Convolutions for Brain Tumor Segmentation in MRI Scans.	BrainLes@MICCAI	2017	DBLP DOI BibTeX RDF
1	Zeju Li, Yuanyuan Wang 0001, Jinhua Yu	Brain Tumor Segmentation Using an Adversarial Network.	BrainLes@MICCAI	2017	DBLP DOI BibTeX RDF
1	Simon Andermatt, Simon Pezold, Philippe C. Cattin	Automated Segmentation of Multiple Sclerosis Lesions Using Multi-dimensional Gated Recurrent Units.	BrainLes@MICCAI	2017	DBLP DOI BibTeX RDF
1	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.	BrainLes@MICCAI	2017	DBLP DOI BibTeX RDF
1	Mariana P. Bento, Roberto Medeiros de Souza, Roberto de Alencar Lotufo, Richard Frayne, Letícia Rittner	WMH Segmentation Challenge: A Texture-Based Classification Approach.	BrainLes@MICCAI	2017	DBLP DOI BibTeX RDF
1	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.	BrainLes@MICCAI	2017	DBLP DOI BibTeX RDF
1	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.	BrainLes@MICCAI	2017	DBLP DOI BibTeX RDF
1	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.	BrainLes@MICCAI	2017	DBLP DOI BibTeX RDF
1	Ramiro Germán Rodríguez Colmeiro, Claudio A. Verrastro, Thomas Grosges	Multimodal Brain Tumor Segmentation Using 3D Convolutional Networks.	BrainLes@MICCAI	2017	DBLP DOI BibTeX RDF
1	Mobarakol Islam, Hongliang Ren 0001	Multi-modal PixelNet for Brain Tumor Segmentation.	BrainLes@MICCAI	2017	DBLP DOI BibTeX RDF
1	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.	BrainLes@MICCAI	2017	DBLP DOI BibTeX RDF
1	Laura Silvana Castillo, Laura Alexandra Daza, Luis Carlos Rivera, Pablo Arbeláez	Brain Tumor Segmentation and Parsing on MRIs Using Multiresolution Neural Networks.	BrainLes@MICCAI	2017	DBLP DOI BibTeX RDF
1	Richard McKinley, Alain Jungo, Roland Wiest, Mauricio Reyes 0001	Pooling-Free Fully Convolutional Networks with Dense Skip Connections for Semantic Segmentation, with Application to Brain Tumor Segmentation.	BrainLes@MICCAI	2017	DBLP DOI BibTeX RDF
1	Adria Casamitjana, Marcel Catà, Irina Sánchez, Marc Combalia, Verónica Vilaplana	Cascaded V-Net Using ROI Masks for Brain Tumor Segmentation.	BrainLes@MICCAI	2017	DBLP DOI BibTeX RDF
1	Geena Kim	Brain Tumor Segmentation Using Deep Fully Convolutional Neural Networks.	BrainLes@MICCAI	2017	DBLP DOI BibTeX RDF
1	Alain Jungo, Richard McKinley, Raphael Meier, Urspeter Knecht, Luis Vera, Julián Pérez-Beteta, David Molina-García, Víctor M. Pérez-García, Roland Wiest, Mauricio Reyes 0001	Towards Uncertainty-Assisted Brain Tumor Segmentation and Survival Prediction.	BrainLes@MICCAI	2017	DBLP DOI BibTeX RDF
1	Bi Song, Chen-Rui Chou, Xiaojing Chen, Albert Huang, Ming-Chang Liu	Anatomy-Guided Brain Tumor Segmentation and Classification.	BrainLes@MICCAI	2016	DBLP DOI BibTeX RDF
1	Peter D. Chang	Fully Convolutional Deep Residual Neural Networks for Brain Tumor Segmentation.	BrainLes@MICCAI	2016	DBLP DOI BibTeX RDF
1	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	DBLP DOI BibTeX RDF
1	Ramandeep S. Randhawa, Ankit Modi, Parag Jain, Prashant Warier	Improving Boundary Classification for Brain Tumor Segmentation and Longitudinal Disease Progression.	BrainLes@MICCAI	2016	DBLP DOI BibTeX RDF
1	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	DBLP DOI BibTeX RDF
1	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	DBLP DOI BibTeX RDF
1	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	DBLP DOI BibTeX RDF
1	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	DBLP DOI BibTeX RDF
1	Benjamin Amoah, Alessandro Crimi	Topological Measures of Connectomics for Low Grades Glioma.	BrainLes@MICCAI	2016	DBLP DOI BibTeX RDF
1	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	DBLP DOI BibTeX RDF
1	Raphael Meier, Urspeter Knecht, Roland Wiest, Mauricio Reyes 0001	CRF-Based Brain Tumor Segmentation: Alleviating the Shrinking Bias.	BrainLes@MICCAI	2016	DBLP DOI BibTeX RDF
1	Oskar Maier, Heinz Handels	Predicting Stroke Lesion and Clinical Outcome with Random Forests.	BrainLes@MICCAI	2016	DBLP DOI BibTeX RDF
1	Alessandro Crimi, Bjoern H. Menze, Oskar Maier, Mauricio Reyes 0001, Heinz Handels (eds.)	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	Brainles@MICCAI	2016	DBLP DOI BibTeX RDF
1	Subhranil Koley, Chandan Chakraborty, Caterina Mainero, Bruce Fischl, Iman Aganj	A Fast Approach to Automatic Detection of Brain Lesions.	BrainLes@MICCAI	2016	DBLP DOI BibTeX RDF
1	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	DBLP DOI BibTeX RDF
1	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	DBLP DOI BibTeX RDF
1	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	DBLP DOI BibTeX RDF
1	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	DBLP DOI BibTeX RDF
1	Alessandro Crimi, Bjoern H. Menze, Oskar Maier, Mauricio Reyes 0001, Stefan Winzeck, Heinz Handels (eds.)	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	BrainLes@MICCAI	2016	DBLP DOI BibTeX RDF
1	László Lefkovits, Szidónia Lefkovits, László Szilágyi	Brain Tumor Segmentation with Optimized Random Forest.	BrainLes@MICCAI	2016	DBLP DOI BibTeX RDF
1	Xiaomei Zhao, Yihong Wu 0002, Guidong Song, Zhenye Li, Yong Fan 0001, Yazhuo Zhang	Brain Tumor Segmentation Using a Fully Convolutional Neural Network with Conditional Random Fields.	BrainLes@MICCAI	2016	DBLP DOI BibTeX RDF
1	Loïc Le Folgoc, Aditya V. Nori, Siddharth Ancha, Antonio Criminisi	Lifted Auto-Context Forests for Brain Tumour Segmentation.	BrainLes@MICCAI	2016	DBLP DOI BibTeX RDF
1	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	DBLP DOI BibTeX RDF
1	Yunliang Cai, Songbai Ji	Combining Deep Learning Networks with Permutation Tests to Predict Traumatic Brain Injury Outcome.	BrainLes@MICCAI	2016	DBLP DOI BibTeX RDF
1	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	DBLP DOI BibTeX RDF
1	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	DBLP DOI BibTeX RDF
1	Richard McKinley, Rik Wepfer, Tom Gundersen, Franca Wagner, Andrew Chan, Roland Wiest, Mauricio Reyes 0001	Nabla-net: A Deep Dag-Like Convolutional Architecture for Biomedical Image Segmentation.	BrainLes@MICCAI	2016	DBLP DOI BibTeX RDF
1	Qaiser Mahmood, Abdul Basit 0007	Prediction of Ischemic Stroke Lesion and Clinical Outcome in Multi-modal MRI Images Using Random Forests.	BrainLes@MICCAI	2016	DBLP DOI BibTeX RDF
1	Alexandra Derntl, Claudia Plant, Philipp Gruber, Susanne Wegener, Jan S. Bauer, Bjoern H. Menze	Stroke Lesion Segmentation Using a Probabilistic Atlas of Cerebral Vascular Territories.	Brainles@MICCAI	2015	DBLP DOI BibTeX RDF
1	Qaiser Mahmood, Abdul Basit 0007	Automatic Ischemic Stroke Lesion Segmentation in Multi-spectral MRI Images Using Random Forests Classifier.	Brainles@MICCAI	2015	DBLP DOI BibTeX RDF
1	Sérgio Pereira, Adriano Pinto, Victor Alves, Carlos A. Silva 0002	Deep Convolutional Neural Networks for the Segmentation of Gliomas in Multi-sequence MRI.	Brainles@MICCAI	2015	DBLP DOI BibTeX RDF
1	Mohammad Havaei, Francis Dutil, Chris Pal, Hugo Larochelle, Pierre-Marc Jodoin	A Convolutional Neural Network Approach to Brain Tumor Segmentation.	Brainles@MICCAI	2015	DBLP DOI BibTeX RDF

Publications at "Brainles@MICCAI"( http://dblp.L3S.de/Venues/Brainles@MICCAI )