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

Associate Prof. Dr. Kuangyu Shi

Kuangyu Shi

Research Interests

  • Translational molecular imaging computing
  • Deep learning for computer-aided diagnosis
  • Computational modeling of molecular imaging and tumor microenvironment

Prof. Dr. Bjoern Menze

Bjoern Menze IBBM - Image-Based Biomedical Modelling

Research Interests

  • Image-based Modeling
  • Medical Computer Vision & Machine Learning
  • Computer-Aided Diagnostics & Radiomics

PD Dr. Tobias Lasser

Tobias Lasser CIIP - Computational Imaging and Inverse Problems

Research Interests

  • Computational Imaging
  • Inverse Problems in Tomography
  • X-ray Phase-contrast and Dark-field Imaging
  • Lightfield Microscopy

Prof. Dr. Peter Struss

Peter Struss MQM - Model-Based Systems & Qualitative Reasoning

Research Interests

  • Qualitative REasoning
  • Model-based Diagnosis
  • Knowledge-based Configuration
  • Model-based Functional Safety
  • Model-based Support Systems


Senior Research Scientists

Shadi Albarqouni

Dr. Shadi Albarqouni

  • Deep Learning for Medical Applications
  • Microscopic Image Analysis
  • Computer Aided Diagnosis

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

Daniel Roth

Dr. Daniel Roth

  • Virtual and Augmented Reality
  • Computer Aided Interventions
  • Collaborative Interaction

Dr. Seong Tae Kim

  • Deep Learning for Computer-aided Diagnosis
  • Spatio-temporal Learning
  • Interpretable/Explainable Deep Learning

Dr. Thomas Wendler

Dr. Thomas Wendler

  • Clinical Applications
  • Nuclear Medicine
  • Brachytherapy
  • Image-Guided Interventions

Dr. Shahrooz Faghihroohi

Dr. Shahrooz Faghihroohi

  • Deep Learning for Medical Image Analysis
  • Medical Image Reconstruction
  • Cardiovascular Image Analysis

Senior Affiliate Lecturers / Research Scientists

Ahmad Ahmadi

Dr. Ahmad Ahmadi

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

Vasileios Belagiannis

Dr. Vasileios Belagiannis

  • Computer Vision
  • Machine Learning
  • Deep Learning

Christoph Hennersperger

Dr. Christoph Hennersperger

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

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

Markus Kowarschik

PD Dr. Markus Kowarschik

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

Diana Mateus

Dr. Diana Mateus

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

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

Peter Noël

Dr. Peter Noël

  • Lecturer: Medical Imaging
  • Research: Tomographic reconstruction

Marie Piraud

Dr. Marie Piraud

  • Medical data analytics and modeling
  • Stochastic modeling and Bayesian inference
  • Machine learning and quantum artificial intelligence

Arash Taki

Dr. Arash Taki

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

Federico Tombari

PD 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

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

Wolfgang Wein

Dr. Wolfgang Wein

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

Selected Video

Muscle AR Rehabilitation
Video Length:
A simply example of Muscle AR Rehabilitation.

fullsize version

Hot Stuff

7 September 2020, IFL
Lab Research Engineer Position
The CAMP chair at the TUM is looking for a Lab Research Engineer to join the research team at Klinikum rechts der Isar in Munich Germany.
3 September 2020, Garching/ Transla TUM /Online
CAMP Pizza! September 2020 Edition
We are very pleased to announce great speakers to CAMP Pizza on Sept. 3 2020. This time in the event series Prof. Daniel Rückert&, Ph.D (Imperial College London), Cristina Piazza&, Ph.D (Department of Physical Medicine and Rehabilitation, Northwestern University, Chicago, IL (USA), and Dr Georgios Kaissis, MHBA (Institute of Diagnostic and Interventional Radiology and the Institute for Artificial Intelligence and Data Science in Healthcare and Medicine at the Technical University of Munich) will join our event in addition to talks by Prof. Navab, Benjamin Busam, Sasan Martinfar, Alexander Lehner, and Sen Wang. The event will be held in two physical locations (Garching and Transla TUM) as well as virtual.
2 September 2020, Online
Invited Talk by Dr. Tolga Birdal: A Geometric Take on Probabilistic Synchronization
Tolga Birdal will present an unconventional sequel of works bringing fresh perspectives to the 2D/3D multiview alignment, correspondence estimation and optimization problems. In this peculiar talk, Tolga interrogates the mono-optimality in vision problems and argues for an interpolatant between optimization and statistical inference that characterize the space and geometry of solutions for a specific downstream task. Within the scope, the problem of particular interest is synchronization, operation to unison. Tolga will start off with the nuts and bolts on probability and inference in geometric domains such as the Riemannian tempered stochastic gradient MCMC methods. He will then apply different variations of this algorithm to various group valued non-Euclidean parameters (rotations, poses and permutations) belonging to the highly non-convex problem of synchronization within an undirected graph. Subsequently, he will leap into non-parametric methods and show how in the most general case, cyclic-consistency of distributions on maps can be understood as a sum of optimal transportations in the Lie group of the parameters. In the remainder of the talk, he will discuss how some of these algorithms can be used in contemporary deep neural networks as well as alternative twists to synchronize: multi-scan registration without registration. Findings relevant to this project are published in NeurIPS? 2018, CVPR 2019 & CVPR 2020 as well as the CVPR 2020 tutorial on synchronization: http://synchinvision.github.io/. The methods are particularly suited to improve SFM (structure from motion) and SLAM (simultaneous localization and mapping) pipelines that are essential for computer vision and robotics.
8 May 2020, Munich
FastRAi selected for EIT Health 2020 COVID-19 Rapid Response
We are happy to announce that our proposal ‘FastRAI’ has been selected for the EIT Health 2020 portfolio as a COVID-19 Rapid Response project!
7 May 2020, Online
PhD Defense by Wadim Kehl
The task of detecting objects in images is essential for autonomous systems to categorize, comprehend and eventually navigate or manipulate its environment. Since many applications demand not only detection of objects but also the estimation of their exact poses, 3D CAD models can prove helpful since they provide means for feature extraction and hypothesis refinement. This work, therefore, explores two paths: Firstly, we will look into methods to create richlytextured and geometrically accurate models of real-life objects. Using these reconstructions as a basis, we will investigate on how to improve in the domain of 3D object detection and pose estimation, focusing especially on scalability, i.e. the problem of dealing with multiple objects simultaneously.


5 December 2019,
CAMP offers up to 5 International Undergraduate Excellence Awards in 2020 to the best international undergraduate applicants
The Chair for Computer Aided Medical Procedures (CAMP) is offering up to 5 research awards to strongly motivated international undergraduate students interested in improving their research skills in machine learning, medical imaging, computer vision, and augmented reality&. The students are required to pursue their undergraduate studies outside Germany. The first two awards amount to 4500 Euros and the second three 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 2020 and October 2020.
4 December 2019, FMI-Building, Room 01.06.020
PhD Defense by Aslı Okur Kuru
Radioguided surgery is a well-established clinical discipline. However, the devices or systems are not necessarily optimized for the particular needs of the target clinical application. This thesis addresses several challenges associated with the deployment of new technologies or concepts for radioguided surgery in different clinical scenarios on the concrete example of Freehand SPECT, a novel 3D nuclear imaging and navigation system. This includes the analysis of the clinical workflow, definition of the supporting functions of the technology and its modification towards integrated applications.

Recent Publications

30 November 2020, Kyoto, Japan
2 papers accepted at ACCV 2020
We are happy to announce that 2 papers from our group were accepted and will be presented at the 2020 Asian Conference on Computer Vision (ACCV 2020), November 30 - December 04, 2020.
9 November 2020, Recife/Porto De Galinhas, Brasil
3 Papers accepted at ISMAR 2020
We are happy to announce that several papers of our chair will be presented at the IEEE International Symposium on Mixed and Augmented Reality that will happen between November 09th and 13th 2020.
31 August 2020, Lima, Peru
15 papers accepted at MICCAI 2020
We are happy to announce that 15 papers of our chair will be presented at the 23rd International Conference on Medical Image Computing and Computer Assisted Interventions (MICCAI 2020) in Lima, Peru, October 4-8, 2020.
23 July 2020,
Five Papers accepted at IROS 2020 , Three of them also at RAL
We are happy to announce that three papers from our Chair are accepted by IEEE Robotics and Automation Letters and together with two more papers from out chair will be presented at the International Conference on Intelligent Robots and Systems (IROS 2020) in Las Vegas, USA, October 25 - 29, 2020.
3 July 2020,
4 papers accepted at ECCV 2020
We are happy to announce that 4 papers from our Chair were accepted and will be presented at the 2020 European Conference on Computer Vision (ECCV 2020), August 24 - 28, 2020.

Alumni News


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

Proud of our Alumni

Dr. Martin Bauer
Product Manager Knee, Brainlab
Tracking Errors in Augmented Reality
10 September 2007
Dipl.-Ing. FH Martin Horn
Project Manager at Surgiceye

Dr. Oliver Kutter
Senior Domain Engineer at Stryker IMT, Freiburg
Visual Computing for Computer Assisted Interventions
28 June 2010
Dr. Athanasios Karamalis
Development Engineer at Rohde & Schwarz

Dr.-Ing. Patrick Christ
Co-Founder of PAVE

28 November 2017

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