WebHome

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

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

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

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

Christoph Hennersperger

Dr. Christoph Hennersperger

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

Tobias Lasser

PD Dr. Tobias Lasser

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

Marie Piraud

Dr. Marie Piraud

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

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

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

Maximilian Baust

Dr. Maximilian Baust

  • Variational methods
  • Medical image analysis
  • Machine learning

Benjamin Frisch

Dr. Benjamin Frisch

  • Nuclear Imaging Detectors
  • Interventional 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

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

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

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

Medical Augmented Reality - An Overview over the Projects at NARVIS
Video Length: 00:05:30
In collaboration with docmed.tv, which is a web based multi-media platform for communicating advances in the field of health care, we created a video showcasing the ongoing research at NARVIS lab, which is located at Klinikum Innenstadt in Munich and run by the department of trauma surgery, LMU, Munich and our chair. For all topics presented in the video, we have student projects available.

fullsize version

Hot Stuff

2 August 2017, FMI 00.13.009A
Talk on Sensitive Longitudinal Events.NeuroImaging and Morphometry
Structural magnetic resonance imaging data are frequently analyzed to reveal morphological changes of the human brain in dementia. Most contemporary imaging biomarkers are scalar values, such as the volume of a structure, and may miss the localized morphological variation of early presymptomatic disease progression. Neuroanatomical shape descriptors, however, can represent complex geometric information of individual anatomical regions and may demonstrate increased sensitivity in association studies. Yet, they remain largely unexplored. In this talk we will describe sensitive computational methods for the automated quantification of neuroanatomical morphometric estimates and their longitudinal changes. We will, furthermore, show that neuroanatomical shape features, such as lateral shape asymmetry, demonstrate increased sensitivity to detect early disease effects and can improve computer-aided diagnosis of dementia.
10 February 2017,
TEDx talk on Medical Augmented Reality
Professor Navab gave a TEDx talk on Medical Augmented Reality.
6 February 2017, Munich, Germany
Paper accepted by Nature Communications
Our paper A Basic Tool for Background and Shading Correction of Optical Microscopy Images has been recently accepted by Nature Communications.

News

6 July 2017,
Paper accepted for publication within Biomedical Optics Express
Our article on ReLayNet?: Retinal Layer and Fluid Segmentation of Macular Optical Coherence Tomography using Fully Convolutional Network has been accepted for publication by Biomedical Optics Express. Biomedical Optics Express is a peer-reviewed scientific journal published monthly by the Optical Society. It covers theoretical modeling, technology development, biomedical studies, and clinical applications pertaining to optics, photonics, and imaging in the life sciences. It is considered as one of the top journals in the field of optics and currently has an impact factor of 3.337. The Arxiv pre-print available at: https://arxiv.org/abs/1704.02161
27 June 2017, MI 01.06.020
PhD Defense by Mohamed Alsheakhali
Instrument detection and pose estimation has attracted great interest in retinal microsurgery. Automatic detection of the instrument parts and estimating the instrument pose promote many applications to guide the surgeon in the operation room. One important application is the automatic positioning of Optical Coherence Tomography (OCT) scans to estimate the distance between the detected instrument tip and the retina to minimize the damage during the surgery. There are many other applications that employ the pose of the instrument such as activity recognition and surgical workflow analysis. This work addresses the problem of detecting the instrument parts (tips and/or the joint point). The first contribution employs instrument’s color and geometric information, while the second exploits deep learning to localize the instrument tip and the shaft’s orientation. In our third contribution, we formulate the problem as a regression task, where a new Hough Forest pipeline is proposed to predict the locations of the instrument parts within the 2D image space.

Recent Publications

8 August 2017,
One paper accepted at IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI)
5 August 2017, Vancouver, Canada
2 papers accepted at IROS 2017
25 July 2017, Venice, Italy
5 papers accepted at ICCV 2017
We are happy to announce that 5 papers of our chair have been accepted at ICCV
25 July 2017, Quebec City, Quebec, Canada
11 papers accepted at MICCAI 2017
We are happy to announce that 11 papers of our chair have been accepted at MICCAI
24 July 2017, Nantes, France
2 papers accepted at ISMAR 2017
We are happy to announce that 2 papers of our chair have been accepted at ISMAR

Alumni News

Address

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

Proud of our Alumni

Darko Zikic
PostDoc Researcher at Microsoft Research Cambridge
Contributions to Medical Image Registration
20 December 2011
Dr. Michael Schlegel


Dr. Mehmet Yigitsoy
Senior Research Scientist at Definiens AG
Local and Global Consistency Measures in Intensity-based Medical Image Registration
24 September 2015
Dr. Florent Brunet
Computer vision manager at Ubleam
Contributions to Parametric Image Registration and 3D Surface Reconstruction
30 November 2010
Dr. Alexander Neumann
BMW Group



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

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