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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
  • Medical device detection/navigation
  • Segmentation for medical treatment planning

Pascal Fallavollita

Dr. Pascal Fallavollita

  • Patient & process specific navigation
  • Intra-op multimodal imaging & visualization
  • Cardiac, Orthopedic, Trauma, & Radiation therapy

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

Dr. Olivier Pauly

Senior Affiliate Lecturers / Research Scientists

Michael Friebe

affiliate 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

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

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

fullsize version

Hot Stuff

6 July 2018, MI 03.13.010
Invited Talk by Prof. William (Sandy) Wells
Segmentation is a fundamental task for extracting semantically meaningful regions from an image. The goal of segmentation algorithms is to accurately assign object labels to each image location. However, image-noise, shortcomings of algorithms, and image ambiguities cause uncertainty in label assignment. Estimating the uncertainty in label assignment is important in multiple application domains, such as segmenting tumors from medical images for radiation treatment planning. One way to estimate these uncertainties is through the computation of posteriors of Bayesian models, which is computationally prohibitive for many practical applications. On the other hand, most computationally efficient methods fail to estimate label uncertainty. [...]

News

5 July 2018, MI 01.11.018
PhD Defense by Sailesh Conjeti
The task of similarity search refers to fetching an item that is closest to the query item from a reference database under the notion of some distance measure. In critical applications of large-scale search and pattern matching, exhaustive comparison is often not possible due to prohibitive computational complexity and memory overheads. Towards mitigating this, hashing has been adopted as a popular approach for performing computationally efficient approximate nearest neighbor search. [...]
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.
19 March 2018,
Medvis / Karl-Heinz-Höhne Award 2018 to Markus Rempfler
The Medvis / Karl-Heinz-Höhne Award 2018 has been awarded to Markus Rempfler. The Medvis Karl-Heinz Höhne Award has been established in 2004 by the 'Gesellschaft für Informatik' (GI) working group on Visual Computing in Medicine and Biology. It is awarded bi-annually to a young scientist for outstanding work on image analysis, visualization and interaction in the field of image-based diagnostics and therapy in biology and medicine.
8 February 2018, MI 00.12.019
PhD Defense by Fausto Milletari
Object detection, segmentation and visual tracking are extremely important problems in both computer vision and medical image analysis. Most of the recent scientific efforts focused on proposing machine learning based approaches that can tackle and solve these problems appropriately. Methods that are based on handcrafted features, the so called shallow approaches, have been widely used and explored until very recently and were often employing machine learning algorithms such as boosting, support vector machines, random forests coupled with a careful choice of manually engineered features which were designed in a specific manner for each task. [...]
14 December 2017,
Our Deep Learning papers were featured in Biomedical Computation Review
Our Deep Learning papers were featured in the %_Q_%Deep Learning and the Future of Biomedical Image Analysis%_Q_% article published in the Biomedical Computation Review (BCR).

Recent Publications

1 October 2018, Madrid
4 papers accepted at IROS 2018
We are happy to announce that 4 papers have been accepted at IROS 2018.
8 September 2018, Munich
5 papers accepted at ECCV 2018
We are happy to announce that 5 papers have been accepted at ECCV 2018.
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. Moritz Blume

Joint Image and Motion Reconstruction for Positron Emission Tomography
12 September 2011
Dr. Vasileios Belagiannis
University of Oxford
Human Pose Estimation in Complex Environments
2 September 2015
Dipl.-Ing. Univ. Silvan Kraft


Dr. Tassilo Klein
Postdoctoral Research Fellow at Harvard Medical School / Brigham and Women's Hospital
Statistical Image Processing of Medical Ultrasound Radio Frequency Data
18 December 2012
Dr. Wolfgang Wein
CEO at ImFusion GmbH, Munich, Germany
Multimodal Integration of Medical Ultrasound for Treatment Planning and Interventions
12 October 2007



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