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Tractography reproducibility challenge with empirical data (TraCED): The 2017 ISMRM diffusion study group challenge.
Nath, Vishwesh; Schilling, Kurt G; Parvathaneni, Prasanna; Huo, Yuankai; Blaber, Justin A; Hainline, Allison E; Barakovic, Muhamed; Romascano, David; Rafael-Patino, Jonathan; Frigo, Matteo; Girard, Gabriel; Thiran, Jean-Philippe; Daducci, Alessandro; Rowe, Matt; Rodrigues, Paulo; Prckovska, Vesna; Aydogan, Dogu B; Sun, Wei; Shi, Yonggang; Parker, William A; Ould Ismail, Abdol A; Verma, Ragini; Cabeen, Ryan P; Toga, Arthur W; Newton, Allen T; Wasserthal, Jakob; Neher, Peter; Maier-Hein, Klaus; Savini, Giovanni; Palesi, Fulvia; Kaden, Enrico; Wu, Ye; He, Jianzhong; Feng, Yuanjing; Paquette, Michael; Rheault, Francois; Sidhu, Jasmeen; Lebel, Catherine; Leemans, Alexander; Descoteaux, Maxime; Dyrby, Tim B; Kang, Hakmook; Landman, Bennett A.
Afiliación
  • Nath V; Computer Science, Vanderbilt University, Nashville, Tennessee, USA.
  • Schilling KG; Biomedical Engineering, Vanderbilt University, Nashville, Tennessee, USA.
  • Parvathaneni P; Electrical Engineering, Vanderbilt University, Nashville, Tennessee, USA.
  • Huo Y; Electrical Engineering, Vanderbilt University, Nashville, Tennessee, USA.
  • Blaber JA; Electrical Engineering, Vanderbilt University, Nashville, Tennessee, USA.
  • Hainline AE; Biostatistics, Vanderbilt University, Nashville, Tennessee, USA.
  • Barakovic M; Signal Processing Lab (LTS5), EPFL, Switzerland.
  • Romascano D; Signal Processing Lab (LTS5), EPFL, Switzerland.
  • Rafael-Patino J; Signal Processing Lab (LTS5), EPFL, Switzerland.
  • Frigo M; Signal Processing Lab (LTS5), EPFL, Switzerland.
  • Girard G; Signal Processing Lab (LTS5), EPFL, Switzerland.
  • Thiran JP; Signal Processing Lab (LTS5), EPFL, Switzerland.
  • Daducci A; Computer Science Department, University of Verona, Italy.
  • Rowe M; Mint Labs Inc., Boston, Massachusetts, USA.
  • Rodrigues P; Mint Labs Inc., Boston, Massachusetts, USA.
  • Prckovska V; Mint Labs Inc., Boston, Massachusetts, USA.
  • Aydogan DB; Keck School of Medicine, University of Southern California (NICR), Los Angeles, California, USA.
  • Sun W; Keck School of Medicine, University of Southern California (NICR), Los Angeles, California, USA.
  • Shi Y; Keck School of Medicine, University of Southern California (NICR), Los Angeles, California, USA.
  • Parker WA; Center for Biomedical Image Computing and Analytics, Dept. of Radiology, Perelman School of Medicine, University of Pennsylvania (UPENN), Philadelphia, Pennsylvania, USA.
  • Ould Ismail AA; Center for Biomedical Image Computing and Analytics, Dept. of Radiology, Perelman School of Medicine, University of Pennsylvania (UPENN), Philadelphia, Pennsylvania, USA.
  • Verma R; Center for Biomedical Image Computing and Analytics, Dept. of Radiology, Perelman School of Medicine, University of Pennsylvania (UPENN), Philadelphia, Pennsylvania, USA.
  • Cabeen RP; Laboratory of Neuro Imaging (LONI), USC Stevens Neuroimaging and Informatics Institute, Los Angeles, California, USA.
  • Toga AW; Laboratory of Neuro Imaging (LONI), USC Stevens Neuroimaging and Informatics Institute, Los Angeles, California, USA.
  • Newton AT; Vanderbilt University Institute of Imaging Science, Vanderbilt University Medical Center, Nashville, Tennessee, USA.
  • Wasserthal J; Medical Image Computing Group, German Cancer Research Center (DKFZ), Heidelberg, Germany.
  • Neher P; Medical Image Computing Group, German Cancer Research Center (DKFZ), Heidelberg, Germany.
  • Maier-Hein K; Medical Image Computing Group, German Cancer Research Center (DKFZ), Heidelberg, Germany.
  • Savini G; Department of Physics, University of Milan, Milan, Italy.
  • Palesi F; Brain Connectivity Center, C. Mondino National Neurological Institute (EFG), Pavia, Italy.
  • Kaden E; Centre for Medical Image Computing, Department of Computer Science, University College London, London, UK.
  • Wu Y; Institution of Information Processing and Automation, Zhejiang University of Technology (ZUT), Hangzhou, China.
  • He J; Institution of Information Processing and Automation, Zhejiang University of Technology (ZUT), Hangzhou, China.
  • Feng Y; Institution of Information Processing and Automation, Zhejiang University of Technology (ZUT), Hangzhou, China.
  • Paquette M; Sherbrooke Connectivity Imaging Lab (SCIL), Computer Science Department, Université de Sherbrooke, Sherbrooke, Canada.
  • Rheault F; Sherbrooke Connectivity Imaging Lab (SCIL), Computer Science Department, Université de Sherbrooke, Sherbrooke, Canada.
  • Sidhu J; Sherbrooke Connectivity Imaging Lab (SCIL), Computer Science Department, Université de Sherbrooke, Sherbrooke, Canada.
  • Lebel C; Department of Radiology, University of Calgary, Canada.
  • Leemans A; Image Sciences Institute, University Medical Center Utrecht, Utrecht, the Netherlands.
  • Descoteaux M; Sherbrooke Connectivity Imaging Lab (SCIL), Computer Science Department, Université de Sherbrooke, Sherbrooke, Canada.
  • Dyrby TB; Danish Research Centre for Magnetic Resonance, Copenhagen University Hospital, Hvidovre, Denmark.
  • Kang H; Biostatistics, Vanderbilt University, Nashville, Tennessee, USA.
  • Landman BA; Computer Science, Vanderbilt University, Nashville, Tennessee, USA.
J Magn Reson Imaging ; 51(1): 234-249, 2020 01.
Article en En | MEDLINE | ID: mdl-31179595
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Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Encéfalo / Imagen de Difusión Tensora Tipo de estudio: Systematic_reviews Límite: Humans Idioma: En Revista: J Magn Reson Imaging Asunto de la revista: DIAGNOSTICO POR IMAGEM Año: 2020 Tipo del documento: Article País de afiliación: Estados Unidos
Texto completo
Imprimir
XML
PubMed Links
Buscar en Google

Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Encéfalo / Imagen de Difusión Tensora Tipo de estudio: Systematic_reviews Límite: Humans Idioma: En Revista: J Magn Reson Imaging Asunto de la revista: DIAGNOSTICO POR IMAGEM Año: 2020 Tipo del documento: Article País de afiliación: Estados Unidos