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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 IBBM - Image-Based Biomedical Modelling

Research Interests

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

Teaching

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

Ulrich Eck

Dr. Ulrich Eck

  • Medical Augmented Reality for Surgery and Training
  • Intra-operative Navigation and Guidance
  • System Architectures for Realtime Interactive Systems
  • Haptic-Enabled Simulators

Benjamin Frisch

Dr. Benjamin Frisch

  • Nuclear Imaging Detectors
  • Interventional Imaging
  • Robotic Imaging

Christoph Hennersperger

Dr. Christoph Hennersperger

  • Ultrasound Imaging
  • Computer Assisted Neurosurgery
  • Cardiac Surgery and Imaging
  • Robotic Imaging

Tobias Lasser

Dr. Tobias Lasser

  • Mathematical Methods in Medical Imaging
  • Tomographic Reconstruction and Ill-posed Problems
  • Computer Assisted Surgery

Diana Mateus

Dr. Diana Mateus

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

Joint CAMP / Helmholtz Senior Research Group

Tingying Peng

Dr. Tingying Peng

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

Senior Affiliate Lecturers / Research Scientists

Ahmad Ahmadi

Dr. Ahmad Ahmadi

  • Neuroimaging
  • Multi-modal Imaging (US,MRI,etc.)
  • Clinical Applications

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

PD 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

Stephan Nekolla

PD Dr. Stephan Nekolla

  • Quantitative methods in medical imaging
  • Integration of multi modality data: PET, SPECT, CT, MRI
  • Going the full distance: from imaging physics to tracking therapeutical changes

Arash Taki

Dr. Arash Taki

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

Selected Video

Vision Targeted CAD Models (Video2)
Video Length: 00:00:36
4 matched points are enough to detect their correct classification

fullsize version

Hot Stuff

16 December 2016, MI 01.06.020
PhD Defense by Patrick Wucherer
The aim of the research work was to investigate the development of a simulated operating room which could be an option for conducting assessment and training of surgical skills within a multidisciplinary controlled environment. The findings will enable other national/international research and simulation centers to develop more sophisticated training environments and the hope exists that this work will trigger a new generation of simulators which will eventually improve medical education of multidisciplinary teams and hence increase patient safety and raise the quality of patient care.
11 November 2016,
FAZ reports on CAMP’s Medical Augmented Reality
The German newspaper Frankfurter Allgemeine Zeitung (short: FAZ) features an article on Medical Augmented Reality, showcases CAMP’s technology and interviews with Prof. Nassir Navab:

News

13 December 2016, 03.13.010
Invited talk by Christian Langton
A QUIC Overview – quantitative ultrasound imaging and characterisation
12 December 2016, Université de Rennes, France
PhD defense by Pierre Chatelain: Quality-Driven Control of a Robotized Ultrasound Probe
This thesis deals with the control of image quality for a robot-held ultrasound probe. The ultrasound signal quality within the image is represented by a confidence map, which is used to design a servo control law for optimizing the placement of the ultrasound probe. A control fusion is also proposed to optimize the acoustic window for a specific anatomical target tracked in the ultrasound images. These methods are illustrated via experiments on phantom and on a human volunteer.
25 November 2016, MI 03.13.010
Invited Talk by Oliver Stegle
Statistical methods to exploit high-dimensional phenotypes in human genetics
25 November 2016, MI 00.05.035
PhD Defense by Bertram Drost
Machine vision is a technologically and economically important field of computer vision. It eases automatization of inspection and manipulation tasks, which in turn enables cost savings and quality improvement in industrial processes. Usually, 2D or intensity images are used for such applications. However, thanks to several technological advances, nowadays there are sensors available that allow depth or 3D measurements with high resolution, frequency and accuracy at a reasonable cost. Such 3D data enables new applications that are difficult or impossible to implement with 2D images only.

Recent Publications

20 December 2016, Santa Rosa, California, USA
Paper accepted at WACV 2017
We are happy to announce that our paper got accepted at WACV 2017, Santa Rosa, California, USA on March 24 - 31.

25 October 2016,
4 papers accepted at 3DV 2016
We are happy to announce that 4 of our papers were presented at 3DV 2016. The conference took place at Stanford University, California, USA on October 25 - 28.
24 October 2016,
Paper accepted for publication within IEEE Transactions on Medical Imaging (TMI)
Our article on Towards MRI-Based Autonomous Robotic US Acquisitions: A First Feasibility Study has been accepted by IEEE Transactions on Medical Imaging and is available as open access publication on IEEE Xplore
3 October 2016,
Paper accepted for publication by Computational and Mathematical Methods in Medicine Journal
Our article CRF-Based Model for Instrument Detection and Pose Estimation in Retinal Microsurgery has been accepted by Computational and Mathematical Methods in Medicine Journal for the special issue on Machine Learning Applications in Medical Image Analysis.
25 July 2016,
Multimodal US-Gamma Imaging using Collaborative Robotics for Cancer Staging Biopsies
Our article on Multimodal US-Gamma Imaging using Collaborative Robotics for Cancer Staging Biopsies has just been accepted by IJCARS.

Alumni News

Address

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

Proud of our Alumni

Master Amit Shah


Dr. Anabel MartinGonzalez

Advanced Imaging in Head-Mounted Displays for Patients with Age-Related Macular Degeneration
28 September 2011
Dipl.-Ing. FH Martin Horn
Project Manager at Surgiceye

Dr. Olivier Pauly
Application Developer @ Definiens AG
Random Forests for Medical Applications
30 August 2012
Dr. Lichao Wang




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