MarcoEsposito

Chair for Computer Aided Medical Procedures & Augmented Reality
Lehrstuhl für Informatikanwendungen in der Medizin & Augmented Reality

THIS WEBPAGE IS DEPRECATED - please visit our new website

Marco Esposito

Marco Esposito

Contact

Marco Esposito

  • Address:

Chair for Computer Aided Medical Procedures & Augmented Reality
Fakultät für Informatik
Technische Universität München
Boltzmannstr. 3
85748 Garching b. München

Short Curriculum Vitae

Teaching

Awards

IJCARS MICCAI 2015 Best Paper Award

Publications

Google ScholarScholar Research Gate

2019
M. Esposito, C. Hennersperger, R. Göbl, L. Demaret, M. Storath, N. Navab, M. Baust, A. Weinmann
Total Variation Regularization of Pose Signals with an Application to 3D Freehand Ultrasound
IEEE Transactions on Medical Imaging (TMI), Volume 38, Issue 10, pp 2245-2258, October 2019. (bib)
2018
F. Milletari, N. Rieke, M. Baust, M. Esposito, N. Navab
CFCM: Segmentation via Coarse to Fine Context Memory
Proceedings of the 21st International Conference on Medical Image Computing and Computer Assisted Interventions (MICCAI), Granada, Spain, September 2018 (bib)
2017
O. Zettinig, B. Frisch, S. Virga, M. Esposito, A. Rienmüller, B. Meyer, C. Hennersperger, Y.-M. Ryang , N. Navab
3D Ultrasound Registration-based Visual Servoing for Neurosurgical Navigation
International Journal of Computer Assisted Radiology and Surgery, Volume 12, Issue 9, pp 1607–1619, 2017.
The original publication is available online at link.springer.com
(bib)
2016
B. Busam, M. Esposito, B. Frisch, N. Navab
Quaternionic Upsampling: Hyperspherical Techniques for 6 D-o-F Pose Tracking
International Conference on 3DVision (3DV), Stanford University, California, USA, October 2016 (bib)
S. Virga, O. Zettinig, M. Esposito, K. Pfister, B. Frisch, T. Neff, N. Navab, C. Hennersperger
Automatic Force-Compliant Robotic Ultrasound Screening of Abdominal Aortic Aneurysms
IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), Daejeon, South Korea, October 2016.
The original publication is available online at ieeexplore.ieee.org
(bib)
M. Esposito, B. Busam, C. Hennersperger, J. Rackerseder, N. Navab, B. Frisch
Multimodal US-Gamma Imaging using Collaborative Robotics for Cancer Staging Biopsies
International Journal of Computer Assisted Radiology and Surgery (bib)
O. Zettinig, B. Fuerst, R. Kojcev, M. Esposito, M. Salehi, W. Wein, J. Rackerseder, B. Frisch, N. Navab
Toward Real-time 3D Ultrasound Registration-based Visual Servoing for Interventional Navigation
IEEE International Conference on Robotics and Automation (ICRA), Stockholm, May 2016.
The original publication is available online at ieeexplore.ieee.org
(bib)
2015
R. Londei, M. Esposito, B. Diotte, S. Weidert, E. Euler, P. Thaller, N. Navab, P. Fallavollita
Intra-operative augmented reality in distal locking
The International Journal for Computer Assisted Radiology and Surgery (IJCARS) (bib)
B. Busam, M. Esposito, S. Che'Rose, N. Navab, B. Frisch
A Stereo Vision Approach for Cooperative Robotic Movement Therapy
International Conference on Computer Vision Workshop (ICCVW), Santiago, Chile, December 2015 [oral]. (bib)
M. Esposito, B. Busam, C. Hennersperger, J. Rackerseder, A. Lu, N. Navab, B. Frisch
Cooperative Robotic Gamma Imaging: Enhancing US-guided Needle Biopsy
Proceedings of the 18th International Conference on Medical Image Computing and Computer Assisted Interventions (MICCAI), Munich, Germany, October 2015 [oral]. (bib)
2014
R. Londei, M. Esposito, B. Diotte, S. Weidert, E. Euler, P. Thaller, N. Navab, P. Fallavollita
The Augmented Circles: A Video-Guided Solution for the Down-the-Beam Positioning of IM Nail Holes
The 5th International Conference on Information Processing in Computer-Assisted Interventions (IPCAI) (bib)
J. Gardiazabal, M. Esposito, P. Matthies, A. Okur, J. Vogel, S. Kraft, B. Frisch, T. Lasser, N. Navab
Towards personalized interventional SPECT-CT imaging
Proceedings of the 17th International Conference on Medical Image Computing and Computer Assisted Interventions (MICCAI), Boston, USA, September 2014 (bib)

Open Source Contributions

GitHub page

Research Projects

Advanced Robotics for Multi-Modal Interventional Imaging (RoBildOR)

Advanced Robotics for Multi-Modal Interventional Imaging (RoBildOR)

This project aims at developing advanced methods for robotic image acquisitions, enabling more flexible, patient- and process-specific functional and anatomical imaging with the operating theater. Using robotic manipulations, co-registered and dynamic imaging can be provided to the surgeon, allowing for optimal implementation of preoperative planning. In particular, this projects is the first one developing concepts for intraoperative SPECT-CT, and introduces intraoperative robotic Ultrasound imaging based on CT trajectory planning, enabling registration with angiographic data. With distinguished partners from Bavarian industry, this project has a fundamental contribution in developing safe, reliable, flexible, and multi-modal imaging technologies for the operating room of the future.
Inside-Out Tracking

Inside-Out Tracking

Current tracking solutions routinely used in a clinical, potentially surgically sterile, environment are limited to mechanical, electromagnetic or classic optical tracking. Main limitations of these technologies are respectively the size of the arm, the influence of ferromagnetic parts on the magnetic field and the line of sight between the cameras and tracking targets. These drawbacks limit the use of tracking in a clinical environment. The aim of this project is the development of so-called inside-out tracking, where one or more small cameras are fixed on clinical tools or robotic arms to provide tracking, both relative to other tools and static targets.
These developments are funded from the 1st of January 2016 to 31st of December 2017 by the ZIM project Inside-Out Tracking for Medical Applications (IOTMA).

UsersForm
Title: M.Sc.
Circumference of your head (in cm):  
Firstname: Marco
Middlename:  
Lastname: Esposito
Picture: Marco_seris_SW.jpg
Birthday:  
Nationality: Italy
Languages: English, German
Groups: Medical Imaging, IFL
Expertise: Segmentation, Medical Imaging, Computer Vision
Position: External Phd
Status: Active
Emailbefore: marco.esposito
Emailafter: tum.de
Room: MI 03.13.056
Telephone: +49 (89) 289-19405
Alumniactivity:  
Defensedate:  
Thesistitle:  
Alumnihomepage:  
Personalvideo01:  
Personalvideotext01:  
Personalvideopreview01:  
Personalvideo02:  
Personalvideotext02:  
Personalvideopreview02:  


Edit | Attach | Refresh | Diffs | More | Revision r1.30 - 15 Sep 2019 - 14:32 - MarcoEsposito

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