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

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Organ Recognition

Organ Recognition

In medical collaboration with:
Axel Möller Martinez; Stephan Nekolla; Nuklearmedizin, Klinikum Rechts der Isar

Scientific Director: Nassir Navab

Contact Person(s): Olivier Pauly

In industrial collaboration with:
Ben Glocker; Antonio Criminisi (Microsoft Research Cambridge)

Keywords: Machine Learning for Medical Applications


Automatic localization of multiple anatomical structures in medical images provides important semantic information with potential benefits to diverse clinical applications. In this project, we investigate hierachical regression methods based on Random Forests and Random Ferns. Such hierarchical approaches permit to subdivide efficiently the feature space and to create a partition over it. In each cell of the resulting partition, data can be easily modeled using simple mathematical models such as constant or linear. The combination of these models over the whole partition results then in a complex non-linear model.


Figure 1: Regression Forests: toy example


O. Pauly, B. Glocker, A. Criminisi, D. Mateus, A. Martinez-Möller, S. Nekolla, N. Navab
Fast Multiple Organs Detection and Localization in Whole-Body MR Dixon Sequences
To appear in Proc. Medical Image Computing and Computer-Assisted Intervention (MICCAI 2011), Toronto, Canada, September 2011 (bib)


Contact Person(s)

Olivier Pauly
Dr. Olivier Pauly

Working Group

Diana Mateus
Prof. Diana Mateus
Nassir Navab
Prof. Dr. Nassir Navab
Olivier Pauly
Dr. Olivier Pauly


Technische Universität München
Institut für Informatik / I16
Boltzmannstr. 3
85748 Garching bei München

Tel.: +49 89 289-17058
Fax: +49 89 289-17059
Visit our lab at Garching.

internal project page

Please contact Olivier Pauly for available student projects within this research project.

Edit | Attach | Refresh | Diffs | More | Revision r1.2 - 12 Jul 2011 - 09:52 - OlivierPauly

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