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ISLES 2015 - A public evaluation benchmark for ischemic stroke lesion segmentation from multispectral MRI.
Maier, Oskar; Menze, Bjoern H; von der Gablentz, Janina; Hani, Levin; Heinrich, Mattias P; Liebrand, Matthias; Winzeck, Stefan; Basit, Abdul; Bentley, Paul; Chen, Liang; Christiaens, Daan; Dutil, Francis; Egger, Karl; Feng, Chaolu; Glocker, Ben; Götz, Michael; Haeck, Tom; Halme, Hanna-Leena; Havaei, Mohammad; Iftekharuddin, Khan M; Jodoin, Pierre-Marc; Kamnitsas, Konstantinos; Kellner, Elias; Korvenoja, Antti; Larochelle, Hugo; Ledig, Christian; Lee, Jia-Hong; Maes, Frederik; Mahmood, Qaiser; Maier-Hein, Klaus H; McKinley, Richard; Muschelli, John; Pal, Chris; Pei, Linmin; Rangarajan, Janaki Raman; Reza, Syed M S; Robben, David; Rueckert, Daniel; Salli, Eero; Suetens, Paul; Wang, Ching-Wei; Wilms, Matthias; Kirschke, Jan S; Kr Amer, Ulrike M; Münte, Thomas F; Schramm, Peter; Wiest, Roland; Handels, Heinz; Reyes, Mauricio.
Affiliation
  • Maier O; Institut for Medical Informatics, University of Lübeck, Lübeck, Germany.
  • Menze BH; Graduate School for Computing in Medicine and Live Science, University of Lübeck, Germany.
  • von der Gablentz J; Institute for Advanced Study and Department of Computer Science, Technische Universität München, Munich, Germany.
  • Hani L; Department of Neurology, University of Lübeck, Germany.
  • Heinrich MP; Institute for Surgical Technology and Biomechanics, University of Bern, Bern, Switzerland.
  • Liebrand M; Institut for Medical Informatics, University of Lübeck, Lübeck, Germany.
  • Winzeck S; Department of Neurology, University of Lübeck, Germany.
  • Basit A; Institute for Advanced Study and Department of Computer Science, Technische Universität München, Munich, Germany.
  • Bentley P; Pakistan Institute of Nuclear Science and Technology, Islamabad, Pakistan.
  • Chen L; Division of Brain Sciences, Department of Medicine, Imperial College London, UK.
  • Christiaens D; Biomedical Image Analysis Group, Department of Computing, Imperial College London, UK.
  • Dutil F; Division of Brain Sciences, Department of Medicine, Imperial College London, UK.
  • Egger K; ESAT/PSI, Department of Electrical Engineering, KU Leuven, Belgium.
  • Feng C; Medical Imaging Research Center, UZ Leuven, Belgium.
  • Glocker B; Université de Sherbrooke, Sherbrooke, Qc, Canada.
  • Götz M; Department of Neuroradiology, University Medical Center Freiburg, Germany.
  • Haeck T; College of Information Science and Engineering, Northeastern University, Shenyang, Liaoning, China.
  • Halme HL; Biomedical Image Analysis Group, Department of Computing, Imperial College London, UK.
  • Havaei M; Junior Group Medical Image Computing, German Cancer Research Center, Heidelberg, Germany.
  • Iftekharuddin KM; ESAT/PSI, Department of Electrical Engineering, KU Leuven, Belgium.
  • Jodoin PM; Medical Imaging Research Center, UZ Leuven, Belgium.
  • Kamnitsas K; HUS Medical Imaging Center, Radiology, University of Helsinki and Helsinki University Hospital, Helsinki, Finland.
  • Kellner E; Department of Neuroscience and Biomedical Engineering NBE, Aalto University School of Science, Aalto, Finland.
  • Korvenoja A; Université de Sherbrooke, Sherbrooke, Qc, Canada.
  • Larochelle H; Vision Lab, Department of Electrical and Computer Engineering, Old Dominion University, Norfolk, VA, USA.
  • Ledig C; Université de Sherbrooke, Sherbrooke, Qc, Canada.
  • Lee JH; Biomedical Image Analysis Group, Department of Computing, Imperial College London, UK.
  • Maes F; Department of Radiology, Medical Physics, University Medical Center Freiburg, Germany.
  • Mahmood Q; HUS Medical Imaging Center, Radiology, University of Helsinki and Helsinki University Hospital, Helsinki, Finland.
  • Maier-Hein KH; Université de Sherbrooke, Sherbrooke, Qc, Canada.
  • McKinley R; Biomedical Image Analysis Group, Department of Computing, Imperial College London, UK.
  • Muschelli J; Graduate Institute of Biomedical Engineering, National Taiwan University of Science and Technology, Taipei City, Taiwan.
  • Pal C; ESAT/PSI, Department of Electrical Engineering, KU Leuven, Belgium.
  • Pei L; Medical Imaging Research Center, UZ Leuven, Belgium.
  • Rangarajan JR; Signals and Systems, Chalmers University of Technology, Gothenburg, Sweden.
  • Reza SMS; Pakistan Institute of Nuclear Science and Technology, Islamabad, Pakistan.
  • Robben D; Junior Group Medical Image Computing, German Cancer Research Center, Heidelberg, Germany.
  • Rueckert D; Department of Diagnostic and Interventional Neuroradiology, Inselspital Bern, Switzerland.
  • Salli E; Department of Biostatistics, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA.
  • Suetens P; Ecole Polytechnique de Montréal, Canada.
  • Wang CW; Vision Lab, Department of Electrical and Computer Engineering, Old Dominion University, Norfolk, VA, USA.
  • Wilms M; ESAT/PSI, Department of Electrical Engineering, KU Leuven, Belgium.
  • Kirschke JS; Medical Imaging Research Center, UZ Leuven, Belgium.
  • Kr Amer UM; Vision Lab, Department of Electrical and Computer Engineering, Old Dominion University, Norfolk, VA, USA.
  • Münte TF; ESAT/PSI, Department of Electrical Engineering, KU Leuven, Belgium.
  • Schramm P; Medical Imaging Research Center, UZ Leuven, Belgium.
  • Wiest R; Biomedical Image Analysis Group, Department of Computing, Imperial College London, UK.
  • Handels H; HUS Medical Imaging Center, Radiology, University of Helsinki and Helsinki University Hospital, Helsinki, Finland.
  • Reyes M; ESAT/PSI, Department of Electrical Engineering, KU Leuven, Belgium.
Med Image Anal ; 35: 250-269, 2017 01.
Article in En | MEDLINE | ID: mdl-27475911
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Algorithms / Magnetic Resonance Imaging / Image Interpretation, Computer-Assisted / Benchmarking / Stroke Type of study: Guideline / Prognostic_studies Limits: Humans Language: En Journal: Med Image Anal Journal subject: DIAGNOSTICO POR IMAGEM Year: 2017 Document type: Article Affiliation country: Country of publication:
Fulltext
Add to My VHL
Print
XML
PubMed Links
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Algorithms / Magnetic Resonance Imaging / Image Interpretation, Computer-Assisted / Benchmarking / Stroke Type of study: Guideline / Prognostic_studies Limits: Humans Language: En Journal: Med Image Anal Journal subject: DIAGNOSTICO POR IMAGEM Year: 2017 Document type: Article Affiliation country: Country of publication: