Marco Esposito

Contact Marco Esposito Email: marco.esposito@tum.de Orc ID: orcid.org/0000-0001-8205-8027 Address: Chair for Computer Aided Medical Procedures & Augmented Reality Fakultät für Informatik Technische Universität München Boltzmannstr. 3 85748 Garching b. München Office: MI 03.13.058

Short Curriculum Vitae

• 2019 - now: Research Scientist at ImFusion GmbH
• 2015 - 2019: Researcher at TUM
• 2011 - 2014: MSc. in Informatics at TUM
• 2007 - 2010: BSc. in Computer Engineering at University of Pisa

Teaching

• Praktikum Praktikum: Project Management and Software Development for Medical Applications (2017SoSe)
• Praktikum Project Management and Software Development for Medical Applications (2016WiSe)
• Hauptseminar Non-engineering aspects of medical robotics (2016WiSe)
• Praktikum Machine Learning In Medical Imaging (2016SoSe)
• Praktikum Image Processing and Visualization using C++ (2015WiSe)
• Hauptseminar Innovations in Robotic Imaging (2015SoSe)

Awards

IJCARS MICCAI 2015 Best Paper Award

Publications

Scholar

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

• iiwa_stack: a ROS driver for the KUKA iiwa robot, with Salvo Virga
• kuka-lwr: a ROS driver for the KUKA LWR4+ robot, created by the Centro E. Piaggio
• easy_handeye: a simple framework for Hand-Eye calibration

Research Projects

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 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).