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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

Teaching

Senior Research Scientists

Stefanie Demirci

Dr. Stefanie Demirci

  • Interventional image registration
  • Disocclusion in medical images
  • Shape-based detection in medical images
  • Segmentation in medical treatment planning

Pascal Fallavollita

Dr. Pascal Fallavollita

  • Computer-assisted surgery
  • Medical imaging and segmentation
  • Multimodal image registration
  • 3D reconstruction

Slobodan Ilic

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

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.

Joint CAMP / Helmholtz Senior Research Group

Diana Mateus

Dr. Diana Mateus

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

Tobias Lasser

Dr. Tobias Lasser

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

Abouzar Eslami

Dr. Abouzar Eslami

  • Cardiac imaging and image analysis
  • Medical image registration and segmentation
  • Computer aided diagnosis
  • Computer assisted cardiac surgery

Olivier Pauly

Dipl.-Ing. Univ. Olivier Pauly

Senior Affiliate Lecturers / Research Scientists

Michael Friebe

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

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

Improving Depth Perception and Perception of Layout for In-Situ Visualization in Medical Augmented Reality (Video2)
Video Length: 00:01:10
The video of our MICCAI 2006 paper Depth Perception a Major Issue in Medical Augmented Reality

fullsize version

Hot Stuff

25 June 2018, MI 03.13.010
Invited Talk by Prof. Leo Joskowicz
Repeat CT scanning consists of acquiring multiple CT scans of the same patient at various times. It is frequently used in many clinical situations, e.g., to assess disease progression, to evaluate response to treatment and to track the patient and the needle during interventional procedures. The main image analysis goal, which is to identify the changes between the baseline and the follow up scans, is time-consuming, error prone, and requires radiological expertise. Moreover, since each scan adds cumulative radiation that may be harmful to the patient, it is highly desirable to optimize the radiation dose of each scan. However, lower doses reduce image quality and thereby difficult even more the image interpretation task. We have developed a new computational paradigm for on-line radiation dose optimization and automatic change detection in repeat CT scanning. The key principle of our approach is to perform sparse repeat scanning to significantly reduce the radiation dose and to obtain the missing information from the baseline scan without image quality loss. Our approach is unique in that it formulates the problem as sparse sinogram comparison problem in 3D Radon space instead of an image reconstruction problem in image space. We will describe novel methods for registration of the baseline and the repeat scan, for the automatic identification of regions where the changes have occurred, and for image-less needle tracking in interventional radiology. Our experimental results show that these tasks can be accomplished with a dose reduction of about x10.

News

27 April 2018,
CAMP@TUM offers 4 International Undergraduate Excellence Awards in 2018: to the best international undergraduate applicants
The Chair for Computer Aided Medical Procedures (CAMP) would like to offer 4 research awards to strongly motivated international undergraduate students interested in improving their research skills in machine learning, medical imaging, computer vision and/or augmented reality. The students are required to pursue their undergraduate studies outside Germany. The first two awards amount to 4500 Euros and the second two awards to 4000 Euros. These awards will provide financial support for the awardees during their research stay at CAMP for a period of up to three months between June 2018 and October 2019.

Recent Publications

18 June 2018, Salt Lake City, Utah (USA)
4 papers accepted at CVPR 2018
We are happy to announce that 4 papers have been accepted at CVPR 2018.
19 March 2018, Berlin, Germany
Seven papers accepted at IPCAI 2018
We got seven papers accepted for presentation at IPCAI 2018 in Berlin, Germany.
2 October 2017,
NeuBtracker: publication in Nature Methods
The work on the open-source microscope NeuBtracker by Prof. Dr. Gil Westmeyer and his group was carried out with participation from CAMP. The results have now been published in Nature Methods, see also the TUM press release.

Alumni News

Address

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

Proud of our Alumni

Dr. Wolfgang Wein
CEO at ImFusion GmbH, Munich, Germany
Multimodal Integration of Medical Ultrasound for Treatment Planning and Interventions
12 October 2007
Dr. Hesam Najafi
Staff Member at Qualcomm Corporate R & D, San Diego, CA
Fast 3D Object Detection and Pose Estimation for Augmented Reality Systems
19 December 2006
Dr. Katharina Buckl
Director Projects at metaio
Augmented Reality based Factory Planning
20 February 2009
Dr. Alexander Ladikos
CTO at ImFusion GmbH
Real-Time Multi-View 3D Reconstruction for Interventional Environments
5 May 2011
Dr. Loren Schwarz
BMW Group
Machine Learning for Human Motion Analysis and Gesture Recognition
22 June 2012



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