Pensum -10%
Geometric Science of Information
Frank Nielsen, Frédéric Barbaresco
PocketEngelsk
Del av serien Lecture Notes in Computer Science
Hopp til hovedinnholdet
Bayesian and grAphical Models for Biomedical Imaging
Redigert av Annemie Ribbens, Tal Arbel, M. Jorge Cardoso, Ivor Simpson, Doina Precup, 2014.Del av serien Lecture Notes in Computer Science.
First International Workshop, BAMBI 2014, Cambridge, MA, USA, September 18, 2014, Revised Selected Papers
This book constitutes the refereed proceedings of the First International Workshop on Bayesian and grAphical Models for Biomedical Imaging, BAMBI 2014, held in Cambridge, MA, USA, in September 2014 as a satellite event of the 17th International Conference on Medical Image Computing and Computer Assisted Intervention, MICCAI 2014.
The 11 revised full papers presented were carefully reviewed and selected from numerous submissions with a key aspect on probabilistic modeling applied to medical image analysis. The objectives of this workshop compared to other workshops, e.g. machine learning in medical imaging, have a stronger mathematical focus on the foundations of probabilistic modeling and inference. The papers highlight the potential of using Bayesian or random field graphical models for advancing scientific research in biomedical image analysis or for the advancement of modeling and analysis of medical imaging data.
PocketEngelsk
Normalpris: 479,-
431,-
Spar 48,-
Ikke tilgjengelig for Klikk&Hent
Midlertidig tomt på lager
Bestillingsvare. Forventes sendt om ca 20 dager
Bayesian and grAphical Models for Biomedical Imaging
Redigert av Annemie Ribbens, Tal Arbel, M. Jorge Cardoso, Ivor Simpson, Doina Precup, 2014.Del av serien Lecture Notes in Computer Science.
First International Workshop, BAMBI 2014, Cambridge, MA, USA, September 18, 2014, Revised Selected Papers
This book constitutes the refereed proceedings of the First International Workshop on Bayesian and grAphical Models for Biomedical Imaging, BAMBI 2014, held in Cambridge, MA, USA, in September 2014 as a satellite event of the 17th International Conference on Medical Image Computing and Computer Assisted Intervention, MICCAI 2014.
The 11 revised full papers presented were carefully reviewed and selected from numerous submissions with a key aspect on probabilistic modeling applied to medical image analysis. The objectives of this workshop compared to other workshops, e.g. machine learning in medical imaging, have a stronger mathematical focus on the foundations of probabilistic modeling and inference. The papers highlight the potential of using Bayesian or random field graphical models for advancing scientific research in biomedical image analysis or for the advancement of modeling and analysis of medical imaging data.
Normalpris: 479,-
431,-
Spar 48,-
PocketEngelsk
Ikke tilgjengelig for Klikk&Hent
Midlertidig tomt på lager
Bestillingsvare. Forventes sendt om ca 20 dager
431,-
Ved å fullføre kjøpet aksepterer du kjøpsvilkårene.
