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

Prof. Dr. Nassir Navab

Nassir Navab CAMP - Computer Aided Medical Procedures & Augmented Reality

Research Interests

CAMP Publications

Prof. Gudrun Klinker, Ph.D.

Gudrun Klinker FAR - Fachgebiet Augmented Reality

Research Interests

FAR Publications

Prof. Dr. Bjoern Menze

Bjoern Menze ImageBioComp - Image-based Biomedical Modelling

Research Interests

  • Computational Physiology
  • Image-based Modeling
  • Medical Computer Vision


Senior Research Scientists

Maximilian Baust

Dr. Maximilian Baust

  • Variational methods
  • Medical image analysis
  • Sensor data fusion and scene interpretation

Stefanie Demirci

Dr. Stefanie Demirci

  • Interventional image registration
  • Disocclusion in medical images
  • Medical device detection/navigation
  • Segmentation for medical treatment planning

Pascal Fallavollita

Dr. Pascal Fallavollita

  • Patient & process specific navigation
  • Medical AR for anatomy learning & simulation environments
  • Intra-op multimodal imaging & visualization
  • Cardiac, Orthopedic, Trauma, Neuro, Radiation therapy

Benjamin Frisch

Dr. Benjamin Frisch

  • Nuclear Imaging Detectors
  • Interventional Imaging
  • Robotic Imaging

Amin Katouzian

Dr. Amin Katouzian

  • Computer Aided Surgery and Diagnosis.
  • Cardiac, Intracardiac, and Intravascular Imaging.
  • Signal Processing for Medical Applications.
  • Medical Image Analysis and Perception.

Tobias Lasser

Dr. Tobias Lasser

  • Medical Imaging Modalities
  • Computer-Assisted Interventions
  • Tomographic Reconstruction Methods

Tingying Peng

Dr. Tingying Peng

  • Molecular imaging
  • Microscopic image processing
  • Machine learning for medical applications
  • Mathematical modeling for physiological understanding

Joint CAMP / Helmholtz Senior Research Group

Diana Mateus

Dr. Diana Mateus

  • Machine Learning for Medical Applications
  • 3D shape acquisition, modeling and registration
  • Computer Vision

Lichao Wang

Dr. Lichao Wang

  • Medical/Biological image processing and computer vision
  • Machine learning, statistical modelling and data mining
  • Shape modelling, surgical navigation

Senior Affiliate Lecturers / Research Scientists

Slobodan Ilic

PD Dr. Slobodan Ilic

  • Deformable surface modeling and tracking
  • 3D reconstruction (multi-camera, stereo)
  • Real-time object detection and tracking
  • Object detection and localization in 3D data

Michael Friebe

Prof. Dr. Michael Friebe

  • Lecturer: "Medical Technology Entrepreneurship" and "Image Guided Surgery: From Bench to Bed and Back (IGSB3)"
  • Research: Translational research in medical imaging & image guided minimal invasive procedures

Federico Tombari

Dr. Federico Tombari

  • Invariant representations for 2D, 3D and RGB-D data
  • 3D object recognition and pose estimation
  • Stereo vision and 3D reconstruction
  • Pattern matching and robust visual correspondence

Markus Kowarschik

Dr. Markus Kowarschik

  • Lecturer: Interventional Imaging
  • Research: Interventional Imaging, Tomographic Image Reconstruction

Wolfgang Wein

Dr. Wolfgang Wein

  • Lecturer: conebeam CT and US Imaging
  • Research: Advanced Ultrasound Imaging

Joerg Traub

Dr. Joerg Traub

  • Lecturer: Image Guided Surgery: From Bench to Bed and Back (IGSB3)
  • Invited lecture in CAMP-I: Translation research in medical technology

Peter Noël

Dr. Peter Noël

  • Lecturer: Medical Imaging
  • Research: Tomographic reconstruction

Arash Taki

Dr. Arash Taki

  • Lecturer: Ultrasound Imaging
  • Scientific Advisor: BMC Master of TUM in Singapore

Selected Video

Deformable Shape Matching (Video1)
Video Length: 00:00:59
This video shows preliminary results of the deformable pattern matching algorithm that is developed in this project. It is important to note that neither spatial nor temporal coherence is used. The object is found despite partial occlusion, clutter, nonlinear illumination changes and shape deformation. Also significant noise and motion blur does not defeat the method.

fullsize version


8 January 2015, Room 02.09.023, FMI-Building
PhD defense of Stefan Holzer: Learning-based Approaches for Template Tracking and Interest Point Detection
The first part of this thesis focuses on learning-based template tracking approaches, with the goal to follow the position of an object or region within an image sequence. Since the seminal work of Lukas and Kanade, a lot of advances have been made in this field. While learning-based approaches led to an increase in speed and robustness, they are still limited in learning speed, flexibility, and occlusion handling. These problems are addressed within this thesis. The field of 3D data processing has recently obtained a boost due to the introduction of low cost depth sensors. Therefore, the second part of the thesis focuses on fast methods for 3D data processing. This includes an efficient normal estimation method as well as a learning-based approach for interest point detection in depth maps.
8 January 2015, Seminar room MI 03.13.010, TUM Informatics Faculty, Garching
Invited Talk by Prof. Jiri Matas
In this talk, we propose retrieving the most dissimilar images of the object depicted in the query and develop two novel methods for a particular instances of dissimilarity search: the zoom-in and zoom-in for finding the maximum and minimum spatial resolution depicting the query. Intuitively; the searches answer the 'What is this?' and 'Where is this?' questions. Furthermore&; two problems straddling the boundary between image retrieval and data mining are formulated: for every pixel in the query image; (i) find the database image with the maximum resolution depicting the pixel and (ii) find the frequency with which it is photographed in detail.
11 December 2014, 00.13.009A
Invited Talk by Dr. Kevin Zhou
Although medical image detection and segmentation has been actively studied over the past two decades, conventional methods mostly focus on detection and segmentation algorithms for a single object typically with some manual inputs. Recently with the availability of large datasets and the advance of statistical machine learning, a new trend that goes beyond the conventional wisdom has emerged ... ----- Bio Dr. S. Kevin Zhou obtained his Ph.D. degree in Electrical Engineering from University of Maryland and is currently a Principal Key Expert of Whole Body Image Analytics at Siemens Corporate Technology ...
5 December 2014,
TUM Events.TeachInf Award 2014 presented to Michael Friebe
Michael Friebes lecture Translational Technology Entrepreneurship was ratet the best elective course at the faculty of Informatics and Mathematics at the TUM in the Summer Semester 2014.

Recent Publications

23 March 2015, Arles, France
Two papers accepted at IEEE Virtual Reality (VR) Conference 2015.
2 January 2015,
Paper accepted at IEEE Transactions on Medical Imaging (TMI)
Our paper Vertebroplasty Performance on Simulator for 19 Surgeons Using Hierarchical Task Analysis has been accepted by the IEEE Transactions on Medical Imaging.
21 October 2014,
Paper accepted at IEEE Transactions on Medical Imaging (TMI)
Our paper 1D-3D Registration for Intra-operative Nuclear Imaging in Radio-guided Surgery has been accepted by the IEEE Transactions on Medical Imaging.
20 October 2014,
Paper accepted at IEEE Transactions on Medical Imaging (TMI)
Our paper Patient-Specific Biomechanical Model for the Prediction of Lung Motion from 4D CT Images has been accepted by the IEEE Transactions on Medical Imaging.
25 September 2014,
Paper accepted at IEEE Transactions on Medical Imaging (TMI)
Our paper Multi-modal intra-operative navigation during distal locking of intramedullary nails has been accepted by the IEEE Transactions on Medical Imaging.

Alumni News

17 October 2014,
Innovation Award for Dr. Arash Taki
Dr Arash Taki, Franchise Manager of Respiratory and Monitoring Solution for Middle East Region in Covidien, has been awarded for his innovative idea called “No MERS” campaign.


Location Technische Universität München
Fakultät für Informatik / I16
Boltzmannstraße 3
85748 Garching bei München

Proud of our Alumni

Dipl.-Ing. FH Martin Horn
Project Manager at Surgiceye

Dr. Andreas Keil
VP Business Development at microDimensions GmbH
Dynamic Variational Level Sets for Cardiac 4D Reconstruction
16 September 2010
Dr. Ben Glocker
Lecturer in Computing at Imperial College London (UK)
Random Fields for Image Registration
Dr. Florian Echtler
junior professor at Bauhaus University Weimar
Tangible Information Displays
4 December 2009
Dr. Tobias Reichl
Software Developer at KUKA Laboratories
Advanced Hybrid Tracking and Navigation for Computer-Assisted Interventions
12 March 2013

Edit | Attach | Refresh | Diffs | More | Revision r1.192 - 11 Mar 2010 - 15:24 - MartinHorn

Lehrstuhl für Computer Aided Medical Procedures & Augmented Reality    rss.gif