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icobrain ms 5.1: Combining unsupervised and supervised approaches for improving the detection of multiple sclerosis lesions.
Rakic, Mladen; Vercruyssen, Sophie; Van Eyndhoven, Simon; de la Rosa, Ezequiel; Jain, Saurabh; Van Huffel, Sabine; Maes, Frederik; Smeets, Dirk; Sima, Diana M.
Affiliation
  • Rakic M; icometrix, Leuven, Belgium; KU Leuven, Department of Electrical Engineering (ESAT), Processing Speech and Images (PSI) and Medical Imaging Research Center, 3001 Leuven, Belgium. Electronic address: mladen.rakic@icometrix.com.
  • Vercruyssen S; icometrix, Leuven, Belgium.
  • Van Eyndhoven S; icometrix, Leuven, Belgium.
  • de la Rosa E; icometrix, Leuven, Belgium; Technical University of Munich, Department of Computer Science, Munich, Germany.
  • Jain S; icometrix, Leuven, Belgium.
  • Van Huffel S; KU Leuven, Department of Electrical Engineering (ESAT), STADIUS Center for Dynamical Systems, Signal Processing and Data Analytics, 3001 Leuven, Belgium.
  • Maes F; KU Leuven, Department of Electrical Engineering (ESAT), Processing Speech and Images (PSI) and Medical Imaging Research Center, 3001 Leuven, Belgium.
  • Smeets D; icometrix, Leuven, Belgium.
  • Sima DM; icometrix, Leuven, Belgium.
Neuroimage Clin ; 31: 102707, 2021.
Article in En | MEDLINE | ID: mdl-34111718

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Multiple Sclerosis Type of study: Diagnostic_studies / Guideline / Prognostic_studies Limits: Humans Language: En Journal: Neuroimage Clin Year: 2021 Document type: Article

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Multiple Sclerosis Type of study: Diagnostic_studies / Guideline / Prognostic_studies Limits: Humans Language: En Journal: Neuroimage Clin Year: 2021 Document type: Article