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QU-BraTS: MICCAI BraTS 2020 Challenge on Quantifying Uncertainty in Brain Tumor Segmentation - Analysis of Ranking Scores and Benchmarking Results.
Mehta, Raghav; Filos, Angelos; Baid, Ujjwal; Sako, Chiharu; McKinley, Richard; Rebsamen, Michael; Dätwyler, Katrin; Meier, Raphael; Radojewski, Piotr; Murugesan, Gowtham Krishnan; Nalawade, Sahil; Ganesh, Chandan; Wagner, Ben; Yu, Fang F; Fei, Baowei; Madhuranthakam, Ananth J; Maldjian, Joseph A; Daza, Laura; Gómez, Catalina; Arbeláez, Pablo; Dai, Chengliang; Wang, Shuo; Reynaud, Hadrien; Mo, Yuanhan; Angelini, Elsa; Guo, Yike; Bai, Wenjia; Banerjee, Subhashis; Pei, Linmin; Ak, Murat; Rosas-González, Sarahi; Zemmoura, Ilyess; Tauber, Clovis; Vu, Minh H; Nyholm, Tufve; Löfstedt, Tommy; Ballestar, Laura Mora; Vilaplana, Veronica; McHugh, Hugh; Maso Talou, Gonzalo; Wang, Alan; Patel, Jay; Chang, Ken; Hoebel, Katharina; Gidwani, Mishka; Arun, Nishanth; Gupta, Sharut; Aggarwal, Mehak; Singh, Praveer; Gerstner, Elizabeth R.
Afiliação
  • Mehta R; Centre for Intelligent Machines (CIM), McGill University, Montreal, QC, Canada.
  • Filos A; Oxford Applied and Theoretical Machine Learning (OATML) Group, University of Oxford, Oxford, England.
  • Baid U; Center for Biomedical Image Computing and Analytics (CBICA), University of Pennsylvania, Philadelphia, PA, USA.
  • Sako C; Department of Radiology, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, PA, USA.
  • McKinley R; Department of Pathology and Laboratory Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA.
  • Rebsamen M; Center for Biomedical Image Computing and Analytics (CBICA), University of Pennsylvania, Philadelphia, PA, USA.
  • Dätwyler K; Department of Radiology, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, PA, USA.
  • Meier R; Support Center for Advanced Neuroimaging (SCAN), University Institute of Diagnostic and Interventional Neuroradiology, University of Bern, Inselspital, Bern University Hospital, Bern, Switzerland.
  • Radojewski P; Support Center for Advanced Neuroimaging (SCAN), University Institute of Diagnostic and Interventional Neuroradiology, University of Bern, Inselspital, Bern University Hospital, Bern, Switzerland.
  • Murugesan GK; Support Center for Advanced Neuroimaging (SCAN), University Institute of Diagnostic and Interventional Neuroradiology, University of Bern, Inselspital, Bern University Hospital, Bern, Switzerland.
  • Nalawade S; Human Performance Lab, Schulthess Clinic, Zurich, Switzerland.
  • Ganesh C; armasuisse S+T, Thun, Switzerland.
  • Wagner B; Support Center for Advanced Neuroimaging (SCAN), University Institute of Diagnostic and Interventional Neuroradiology, University of Bern, Inselspital, Bern University Hospital, Bern, Switzerland.
  • Yu FF; Department of Radiology, University of Texas Southwestern Medical Center, Dallas, TX, USA.
  • Fei B; Department of Radiology, University of Texas Southwestern Medical Center, Dallas, TX, USA.
  • Madhuranthakam AJ; Department of Radiology, University of Texas Southwestern Medical Center, Dallas, TX, USA.
  • Maldjian JA; Department of Radiology, University of Texas Southwestern Medical Center, Dallas, TX, USA.
  • Daza L; Department of Radiology, University of Texas Southwestern Medical Center, Dallas, TX, USA.
  • Gómez C; Department of Bioengineering, University of Texas at Dallas, Texas, USA.
  • Arbeláez P; Department of Radiology, University of Texas Southwestern Medical Center, Dallas, TX, USA.
  • Dai C; Advanced Imaging Research Center, University of Texas Southwestern Medical Center, Dallas, TX, USA.
  • Wang S; Department of Radiology, University of Texas Southwestern Medical Center, Dallas, TX, USA.
  • Reynaud H; Advanced Imaging Research Center, University of Texas Southwestern Medical Center, Dallas, TX, USA.
  • Mo Y; Universidad de los Andes, Bogotá, Colombia.
  • Angelini E; Universidad de los Andes, Bogotá, Colombia.
  • Guo Y; Universidad de los Andes, Bogotá, Colombia.
  • Bai W; Data Science Institute, Imperial College London, London, UK.
  • Banerjee S; Data Science Institute, Imperial College London, London, UK.
  • Pei L; Data Science Institute, Imperial College London, London, UK.
  • Ak M; Data Science Institute, Imperial College London, London, UK.
  • Rosas-González S; NIHR Imperial BRC, ITMAT Data Science Group, Imperial College London, London, UK.
  • Zemmoura I; Data Science Institute, Imperial College London, London, UK.
  • Tauber C; Data Science Institute, Imperial College London, London, UK.
  • Vu MH; Department of Brain Sciences, Imperial College London, London, UK.
  • Nyholm T; Machine Intelligence Unit, Indian Statistical Institute, Kolkata, India.
  • Löfstedt T; Department of CSE, University of Calcutta, Kolkata, India.
  • Ballestar LM; Division of Visual Information and Interaction (Vi2), Department of Information Technology, Uppsala University, Uppsala, Sweden.
  • Vilaplana V; Department of Diagnostic Radiology, The University of Pittsburgh Medical Center, Pittsburgh, PA, USA.
  • McHugh H; Department of Diagnostic Radiology, The University of Pittsburgh Medical Center, Pittsburgh, PA, USA.
  • Maso Talou G; UMR U1253 iBrain, Université de Tours, Inserm, Tours, France.
  • Wang A; UMR U1253 iBrain, Université de Tours, Inserm, Tours, France.
  • Patel J; Neurosurgery department, CHRU de Tours, Tours, France.
  • Chang K; UMR U1253 iBrain, Université de Tours, Inserm, Tours, France.
  • Hoebel K; Department of Radiation Sciences, Umeå University, Umeå, Sweden.
  • Gidwani M; Department of Radiation Sciences, Umeå University, Umeå, Sweden.
  • Arun N; Department of Computing Science, Umeå University, Umeå, Sweden.
  • Gupta S; Signal Theory and Communications Department, Universitat Politècnica de Catalunya, BarcelonaTech, Barcelona, Spain.
  • Aggarwal M; Signal Theory and Communications Department, Universitat Politècnica de Catalunya, BarcelonaTech, Barcelona, Spain.
  • Singh P; Faculty of Medical and Health Sciences, University of Auckland, Auckland, New Zealand.
  • Gerstner ER; Radiology Department, Auckland City Hospital, Auckland, New Zealand.
J Mach Learn Biomed Imaging ; 20222022 Aug.
Article em En | MEDLINE | ID: mdl-36998700
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Prognostic_studies Idioma: En Revista: J Mach Learn Biomed Imaging Ano de publicação: 2022 Tipo de documento: Article País de afiliação: Canadá
Texto completo
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XML
PubMed Links
Buscar no Google

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Prognostic_studies Idioma: En Revista: J Mach Learn Biomed Imaging Ano de publicação: 2022 Tipo de documento: Article País de afiliação: Canadá