MedIAConjeti

Chair for Computer Aided Medical Procedures & Augmented Reality
Lehrstuhl für Informatikanwendungen in der Medizin & Augmented Reality

Paper accepted for publication within Medical Image Analysis Journal

Our article on Supervised Domain Adaptation of Decision Forests: Transfer of models trained in vitro for in vivo intravascular ultrasound tissue characterization has been accepted by Medical Image Analysis. This international journal provides a forum for the dissemination of new research results in the field of medical and biological image analysis, with special emphasis on efforts related to the applications of computer vision, virtual reality and robotics to biomedical imaging problems. It has an impact factor of 3.654 (5-year impact factor: 4.454).

S. Conjeti, A. Katouzian, A. Guha Roy, L. Peter, D. Sheet, S. Carlier, A. Laine, N. Navab
Supervised Domain Adaptation of Decision Forests: Transfer of models trained in vitro for in vivo intravascular ultrasound tissue characterization
Medical Image Analysis, 2016 (bib)

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Title: Paper accepted for publication within Medical Image Analysis Journal
Date: 19 February 2016
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Abstract: Our article on Supervised Domain Adaptation of Decision Forests: Transfer of models trained in vitro for in vivo intravascular ultrasound tissue characterization has been accepted by Medical Image Analysis.
Imageurl: elsevier.jpg
Type: Publication
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