Jun.-Prof. Dr. Franziska Mathis-Ullrich

  • Engler-Bunte-Ring 8
    76131 Karlsruhe

Forschungsinteressen

  • Minimal-invasive Medizinrobotik
  • Softrobotische Systeme
  • Künstliche Intelligenz für medizinische Anwendungen
  • Roboter-assistierte Chirurgie
  • Mikrorobotik

Kurzbiografie

Franziska Mathis-Ullrich ist Leiterin des Lehrstuhls für Medizinrobotik am Institut für Anthropomatik und Robotik (IAR) am Karlsruhe Institut für Technologie (KIT). Frau Mathis-Ullrich begann ihre technologische Laufbahn mit dem Bachelor of Science in Maschinenbau und festigte anschließend ihre Robotik-Ausbildung mit einem Master of Science in Robotics, Systems & Control an der ETH Zürich. In dieser Zeit sammelte sie ergänzende weltweite Erfahrungen während mehrerer akademischer und industrieller Auslandsaufenthalte bei Australian Center for Field Robotics (Australien), ABB Corporate Research (Schweden), MTU Maintenance (China) und der ABB (Schweiz).

Im Jahr 2016 promovierte Franziska am Multi-Scale Robotics Lab (MSRL) der ETH Zürich. Ihre Forschung konzentrierte sich auf die Entwicklung verschiedener Mikroroboter zur Unterstützung der Augenchirurgie. Darauffolgend (2016-2018) arbeitete Frau Mathis-Ullrich als Post-Doktorandin im Multi-Scale Robotics Lab (MSRL) der ETH Zürich und als Geschäftsführerin und Mitbegründerin des Startup-Unternehmens Ophthorobotics. Dabei galt ihre Leidenschaft der Entwicklung und Vermarktung des weltweit ersten Systems, das automatisiert Medikamente ins Auge injiziert, um chronische Augenerkrankungen sicher und effizient zu behandeln.
Ihre Kernforschungsgebiete am KIT liegen im Bereich der minimal-invasiven Medizinrobotik, insbesondere unter Nutzung softrobotischer Systeme, sowie die Roboter- und KI-Assistenz während chirurgischer Eingriffe.

Für ihre Arbeit erhielt Frau Mathis-Ullrich den IEEE ICRA Best Paper Award in Medical Robotics (2014), den IEEE BioRob Best Student Paper Award (2016) und gewann zusammen mit ihrem Team den ICRA Microassembly Challenge (2015). Weiterhin schaffte Frau Mathis-Ullrich es unter die Finalisten des Deutschen Studienpreises und auf die renommierte Forbes "30 unter 30" Liste (beides 2017).

Patente

  1. Ophthorobotics AG, Intraocular injection system and methods for controlling such a system, WO2017005277 A1, granted: January 2017
  2. Ophthorobotics AG, Stimuli-responsive hydrogel and method for a piercing intervention into a mammalian eye, PCT/EP2017/057772, filed: March 2017

Gastvorträge

  1. Roboter in der Medizin am Beispiel des Auges, Efficiency Club Basel, Basel, Switzerland, August 2018
  2. Behavioral Change of Surgeons due to Medical Robotics, Swiss Medtech Insight, Zurich, Switzerland, July 2018
  3. Fighting Age-Related Blindness: Automated Injections into the Eye, Workshop lecture: Advances in Image-Guided Ophthalmic Interventions, Hamlyn Symposium on Medical Robotics, London, UK, June 2018
  4. Nanorobots and the Eye (Keynote Lecture), Montchoisi 3rd Annual Glaucoma Symposium, Geneva, Switzerland, June 2018
  5. Fighting Age-Related Blindness, Women in Digital Basel Meetup, Basel, Switzerland, April 2018
  6. The future role of robot-assisted surgery in Ophthalmology, Emerging Technologies in Medicine (ETIM2018), Artificial intelligence and robotics, Essen, Germany, Feb. 2018
  7. Ein Roboter, der ins Auge sticht – Automatisierte Injektionenn in das Auge, Rotary Club Zurich, Zurich, Switzerland, January 2018
  8. Ein Roboter, der ins Auge sticht, Department of Ophthalmology, University Hospital Göttingen, Göttingen, Germany, January 2018
  9. Wissenschaft aus der Fiktion – Der robotische Augenarzt, Naturwissenschaftliche Gesellschaft Winterthur, Winterthur, Switzerland, December 2017
  10. Ein Roboter, der ins Auge sticht, Department of Ophthalmology, University Hospital Bonn, Bonn, Germany, November 2017
  11. Roboter Winzlinge revolutionieren die Medizin, Lions Club Zurich, Zurich, Switzerland, September 2017
  12. Seeing the Surface, NTN Innovative Surfaces Annual Event 2017, EMPA, Dübendorf, Switzerland, September 2017
  13. OP-Robotik: Fortschritte in der IVOM Therapie, International Retina Council, Münster, Germany, September 2017
  14. Ein Roboter, der ins Auge sticht, Schweizerische Management Gesellschaft Forum, Zurich, Switzerland, September 2017
  15. Panel discussion, SAP Forum, Basel, Switzerland, April 2017
  16. Innovative Medizinalrobotik für die Augenchirurgie, Trendtage Gesundheit, Luzern, Switzerland, March 2017
  17. Automated Intravitreal Injection System for the Efficient Treatment of AMD, European Association for Vision and Eye Research (EVER) Symposium, Nice, France, October 2016.
  18. Recent Progress in Microrobots for Ophthalmic Therapies, European Association for Vision and Eye Research (EVER) Symposium, Nice, France, October 2016.
  19. Microrobots in Medicine, VIII. Industrial Automatics Seminar, University of Cauca, Popayán, Columbia, May 2016.
  20. Microrobots in Medicine, Nueva Granada Military University, Bogota, Colombia, May 2016.
  21. Microrobots in Medicine, Universidad Central, Bogota, Colombia, May 2016.
  22. Roboter in meinem Körper, Children’s Lecture (Kindervorlesung) Science City, ETH Zurich, Zurich, Switzerland, March 2016.
  23. Automatisierte Intravitreale Therapie, ITS Industrie- und Technozentrum Schaffhausen, Schaffhausen, Switzerland, March 2016.
  24. Microrobots in Ophthalmology, Premium Cataract Surgery Symposium, The Health Sciences School of Universidade do Minho, Braga, Portugal, January 2016.
  25. Mikroroboter für minimal-invasive intraokulare Chirurgie, Ophthalmology Departement University Hospital Zurich (USZ), Zurich, Switzerland, November 2015.
  26. Mikroroboter in der Medizin, Hochschule für Technik Rapperswil (HSR), Rapperswil, Switzerland, November 2015.
  27. Mikroroboter für minimal-invasive intraokulare Chirurgie, DOG Symposium (German Ophthalmology Association), Berlin, Germany, October 2015.
  28. Roboter in meinem Körper, Children’s Lecture (Kindervorlesung) Scientifica, ETH Zurich, Zurich, Switzerland, September 2015.
  29. Nano-Roboter: Kleiner geht’s kaum!, Annual Meeting Swiss Engineering Fachgruppe für Elektronik und Informatik, Zurich, Switzerland, November 2014

Publikationen


Augmented Reality–Assisted versus Freehand Ventriculostomy in a Head Model
Schneider, M.; Kunz, C.; Wirtz, C. R.; Mathis-Ullrich, F.; Pala, A.; Hlavac, M.
2023. Journal of Neurological Surgery Part A: Central European Neurosurgery, 84 (06), 562–569. doi:10.1055/s-0042-1759827
Multimodal CNN Networks for Brain Tumor Segmentation in MRI: A BraTS 2022 Challenge Solution
Zeineldin, R. A.; Karar, M. E.; Burgert, O.; Mathis-Ullrich, F.
2023. Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries – 8th International Workshop, BrainLes 2022, Held in Conjunction with MICCAI 2022, Singapore, September 18, 2022, Revised Selected Papers. Ed.: S. Bakas, 127 – 137, Springer Nature Switzerland AG. doi:10.1007/978-3-031-33842-7_11
Continuum robot actuation by a single motor per antagonistic tendon pair: Workspace and repeatability analysis [Kontinuumsroboter-Aktuierung mittels eines Motors pro antagonistischen Kabelpaar. Arbeitsraum- und Wiederholgenauigkeitsanalyse]
Marzi, C.; Buck, F.; Mathis-Ullrich, F.
2023. at - Automatisierungstechnik, 71 (7), 528 – 536. doi:10.1515/auto-2023-0066
Shape-sensing by self-sensing of shape memory alloy instruments for minimal invasive surgery
Fischer, N.; Knapp, J.; Mathis-Ullrich, F.
2023. at - Automatisierungstechnik, 71 (7), 554–561. doi:10.1515/auto-2023-0058
Compact flexible actuator based on a shape memory alloy for shaping surgical instruments [Kompakt-flexible Aktuatoren aus Formgedächtnislegierung zur Formgebung chirurgischer Instrumente]
Fischer, N.; Mathis-Ullrich, F.
2023. at - Automatisierungstechnik, 71 (7), 547–553. doi:10.1515/auto-2023-0049
Comparative validation of machine learning algorithms for surgical workflow and skill analysis with the HeiChole benchmark
Wagner, M.; Müller-Stich, B.-P.; Kisilenko, A.; Tran, D.; Heger, P.; Mündermann, L.; Lubotsky, D. M.; Müller, B.; Davitashvili, T.; Capek, M.; Reinke, A.; Reid, C.; Yu, T.; Vardazaryan, A.; Nwoye, C. I.; Padoy, N.; Liu, X.; Lee, E.-J.; Disch, C.; Meine, H.; Xia, T.; Jia, F.; Kondo, S.; Reiter, W.; Jin, Y.; Long, Y.; Jiang, M.; Dou, Q.; Heng, P. A.; Twick, I.; Kirtac, K.; Hosgor, E.; Bolmgren, J. L.; Stenzel, M.; von Siemens, B.; Zhao, L.; Ge, Z.; Sun, H.; Xie, D.; Guo, M.; Liu, D.; Kenngott, H. G.; Nickel, F.; Frankenberg, M. von; Mathis-Ullrich, F.; Kopp-Schneider, A.; Maier-Hein, L.; Speidel, S.; Bodenstedt, S.
2021. doi:10.48550/arXiv.2109.14956
Comparative validation of machine learning algorithms for surgical workflow and skill analysis with the HeiChole benchmark
Wagner, M.; Müller-Stich, B.-P.; Kisilenko, A.; Tran, D.; Heger, P.; Mündermann, L.; Lubotsky, D. M.; Müller, B.; Davitashvili, T.; Capek, M.; Reinke, A.; Reid, C.; Yu, T.; Vardazaryan, A.; Nwoye, C. I.; Padoy, N.; Liu, X.; Lee, E.-J.; Disch, C.; Meine, H.; Xia, T.; Jia, F.; Kondo, S.; Reiter, W.; Jin, Y.; Long, Y.; Jiang, M.; Dou, Q.; Heng, P. A.; Twick, I.; Kirtac, K.; Hosgor, E.; Bolmgren, J. L.; Stenzel, M.; von Siemens, B.; Zhao, L.; Ge, Z.; Sun, H.; Xie, D.; Guo, M.; Liu, D.; Kenngott, H. G.; Nickel, F.; Frankenberg, M. von; Mathis-Ullrich, F.; Kopp-Schneider, A.; Maier-Hein, L.; Speidel, S.; Bodenstedt, S.
2023. Medical Image Analysis, 86, Art.-Nr.: 102770. doi:10.1016/j.media.2023.102770
A sensorized modular training platform to reduce vascular damage in endovascular surgery
Fischer, N.; Marzi, C.; Meisenbacher, K.; Kisilenko, A.; Davitashvili, T.; Wagner, M.; Mathis-Ullrich, F.
2023. International Journal of Computer Assisted Radiology and Surgery. doi:10.1007/s11548-023-02935-w
Compliant Hall-Effect Sensor Array for Passive Magnetic Instrument Tracking
Fischer, N.; Kriechbaum, J.; Berwanger, D.; Mathis-Ullrich, F.
2023. IEEE Sensors Letters, 7 (3), 1–4. doi:10.1109/LSENS.2023.3250971
LapSeg3D: Weakly Supervised Semantic Segmentation of Point Clouds Representing Laparoscopic Scenes
Alt, B.; Kunz, C.; Katic, D.; Younis, R.; Jäkel, R.; Müller-Stich, B.; Wagner, M.; Mathis-Ullrich, F.
2022. doi:10.48550/arXiv.2207.07418
LapSeg3D: Weakly Supervised Semantic Segmentation of Point Clouds Representing Laparoscopic Scenes
Alt, B.; Kunz, C.; Katic, D.; Younis, R.; Jäkel, R.; Müller-Stich, B.; Wagner, M.; Mathis-Ullrich, F.
2022. 2022 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 5265–5270, Institute of Electrical and Electronics Engineers (IEEE). doi:10.1109/IROS47612.2022.9981178
Sim-To-Real Transfer for Visual Reinforcement Learning of Deformable Object Manipulation for Robot-Assisted Surgery
Scheikl, P. M.; Tagliabue, E.; Gyenes, B.; Wagner, M.; Dall’Alba, D.; Fiorini, P.; Mathis-Ullrich, F.
2022. IEEE Robotics and Automation Letters, 8 (2), 560–567. doi:10.1109/LRA.2022.3227873
Capacitive Proximity Sensor for Non-Contact Endoscope Localization
Marzi, C.; Alagi, H.; Rau, O.; Hampe, J.; Korvink, J. G.; Hein, B.; Mathis-Ullrich, F.
2022. 2022 International Conference on Robotics and Automation (ICRA), 9614–9620, Institute of Electrical and Electronics Engineers (IEEE). doi:10.1109/ICRA46639.2022.9811734
Quality-dependent Deep Learning for Safe Autonomous Guidewire Navigation
Ritter, J.; Karstensen, L.; Langejürgen, J.; Hatzl, J.; Mathis-Ullrich, F.; Uhl, C.
2022. Current Directions in Biomedical Engineering, 8 (1), 21–24. doi:10.1515/cdbme-2022-0006
Annotation-efficient learning of surgical instrument activity in neurosurgery
Philipp, M.; Alperovich, A.; Lisogorov, A.; Gutt-Will, M.; Mathis, A.; Saur, S.; Raabe, A.; Mathis-Ullrich, F.
2022. Current Directions in Biomedical Engineering, 8 (1), 30–33. doi:10.1515/cdbme-2022-0008
Deep automatic segmentation of brain tumours in interventional ultrasound data
Zeineldin, R. A.; Pollok, A.; Mangliers, T.; Karar, M. E.; Mathis-Ullrich, F.; Burgert, O.
2022. Current Directions in Biomedical Engineering, 8 (1), 133–137. doi:10.1515/cdbme-2022-0034
Augmented Reality-based Robot Control for Laparoscopic Surgery
Kunz, C.; Maierhofer, P.; Gyenes, B.; Franke, N.; Younis, R.; Müller-Stich, B.-P.; Wagner, M.; Mathis-Ullrich, F.
2022. Current Directions in Biomedical Engineering, 8 (1), 54–57. doi:10.1515/cdbme-2022-0014
Ensemble CNN Networks for GBM Tumors Segmentation Using Multi-parametric MRI
Zeineldin, R. A.; Karar, M. E.; Mathis-Ullrich, F.; Burgert, O.
2021. doi:10.48550/arXiv.2112.06554
Ensemble CNN Networks for GBM Tumors Segmentation Using Multi-parametric MRI
Zeineldin, R. A.; Karar, M. E.; Mathis-Ullrich, F.; Burgert, O.
2022. Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries – 7th International Workshop, BrainLes 2021, Held in Conjunction with MICCAI 2021, Virtual Event, September 27, 2021, Revised Selected Papers, Part I. Ed.: A. Crimi, 473–483, Springer International Publishing. doi:10.1007/978-3-031-08999-2_41
Robotic Sensorized Gastroendoscopy with Wireless Single-Hand Control
García, G.; Fischer, N.; Marzi, C.; Mathis-Ullrich, F.
2022. Current Directions in Biomedical Engineering, 8 (1), 66–69. doi:10.1515/cdbme-2022-0017
Automated Linear and Non-Linear Path Planning for Neurosurgical Interventions
Peikert, S.; Kunz, C.; Fischer, N.; Hlavac, M.; Pala, A.; Schneider, M.; Mathis-Ullrich, F.
2022. 2022 International Conference on Robotics and Automation (ICRA), 7731–7737, Institute of Electrical and Electronics Engineers (IEEE). doi:10.1109/ICRA46639.2022.9811679
Learning-based autonomous vascular guidewire navigation without human demonstration in the venous system of a porcine liver
Karstensen, L.; Ritter, J.; Hatzl, J.; Pätz, T.; Langejürgen, J.; Uhl, C.; Mathis-Ullrich, F.
2022. International Journal of Computer Assisted Radiology and Surgery, 17 (11), 2033–2040. doi:10.1007/s11548-022-02646-8
Segmentation of the mouse skull for MRI guided transcranial focused ultrasound therapy planning
Hopp, T.; Springer, L.; Gross, C.; Grudzenski-Theis, S.; Mathis-Ullrich, F.; Ruiter, N.
2022. C. A. Linte & J. H. Siewerdsen (Hrsg.), Medical Imaging 2022: Image-Guided Procedures, Robotic Interventions, and Modeling. Ed.: C. A. Linte, Art.-Nr.: 120341P, SPIE. doi:10.1117/12.2607371
Autonomous Planning and Intraoperative Augmented Reality Navigation for Neurosurgery
Kunz, C.; Hlavac, M.; Schneider, M.; Pala, A.; Henrich, P.; Jickeli, B.; Worn, H.; Hein, B.; Wirtz, R.; Mathis-Ullrich, F.
2021. IEEE Transactions on Medical Robotics and Bionics, 3 (3), 738–749. doi:10.1109/TMRB.2021.3091184
From Chairs to Brains: Customizing Optical Flow for Surgical Activity Localization
Philipp, M.; Bacher, N.; Saur, S.; Mathis-Ullrich, F.; Bruhn, A.
2022. IEEE ISBI 2022 International Symposium on Biomedical Imaging, 28–31th March 2022, Kolkata, India. doi:10.1109/ISBI52829.2022.9761704
Dynamic CNNs Using Uncertainty To Overcome Domain Generalization for Surgical Instrument Localization
Philipp, M.; Alperovich, A.; Gutt-Will, M.; Mathis, A.; Saur, S.; Raabe, A.; Mathis-Ullrich, F.
2022. IEEE Winter Conference on Applications of Computer Vision (WACV 2022), Waikoloa, Hawaii, January 4-8, 2022, 3612–3621, Institute of Electrical and Electronics Engineers (IEEE). doi:10.1109/WACV51458.2022.00179
Localizing neurosurgical instruments across domains and in the wild
Philipp, M.; Alperovich, A.; Gutt-Will, M.; Mathis, A.; Saur, S.; Raabe, A.; Mathis-Ullrich, F.
2021. Medical Imaging with Deep Learning : MIDL 2021 : Lübeck, Germany, 7 July 2021, 581–595
Cooperative Assistance in Robotic Surgery through Multi-Agent Reinforcement Learning
Scheikl, P. M.; Gyenes, B.; Davitashvili, T.; Younis, R.; Schulze, A.; Müller-Stich, B. P.; Neumann, G.; Wagner, M.; Mathis-Ullrich, F.
2021. 2021 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), Prague, Czech Republic, 27 Sept.-1 Oct. 2021, 1859–1864, Institute of Electrical and Electronics Engineers (IEEE). doi:10.1109/IROS51168.2021.9636193
Continuous Feature-Based Tracking of the Inner Ear for Robot-Assisted Microsurgery
Marzi, C.; Prinzen, T.; Haag, J.; Klenzner, T.; Mathis-Ullrich, F.
2021. Frontiers in Surgery, 8, Article no: 742160. doi:10.3389/fsurg.2021.742160
A Hybrid Deep Registration of MR Scans to Interventional Ultrasound for Neurosurgical Guidance
Zeineldin, R. A.; Karar, M. E.; Mathis-Ullrich, F.; Burgert, O.
2021. Machine Learning in Medical Imaging: 12th International Workshop, MLMI 2021, Held in Conjunction with MICCAI 2021, Strasbourg, France, September 27, 2021, Proceedings. Ed.: C. Lian, 586–595, Springer Verlag. doi:10.1007/978-3-030-87589-3_60
Flexible Facile Tactile Sensor for Smart Vessel Phantoms
Fischer, N.; Scheikl, P.; Marzi, C.; Galindo-Blanco, B.; Kisilenko, A.; Müller-Stich, B. P.; Wagner, M.; Mathis-Ullrich, F.
2021. Current directions in biomedical engineering, 7 (1), 87–91. doi:10.1515/cdbme-2021-1019
Facile Testbed for Robotic X-ray based Endovascular Interventions
Karstensen, L.; Pätz, T.; Mathis-Ullrich, F.; Stallkamp, J.
2021. Current directions in biomedical engineering, 7 (1), 121–125. doi:10.1515/cdbme-2021-1026
Biocompatible Soft Material Actuator for Compliant Medical Robots
Marzi, C.; Fischer, N.; Mathis-Ullrich, F.
2021. Current directions in biomedical engineering, 7 (1), 58–62. doi:10.1515/cdbme-2021-1013
Synthetic data generation for optical flow evaluation in the neurosurgical domain
Philipp, M.; Bacher, N.; Nienhaus, J.; Hauptmann, L.; Lang, L.; Alperovich, A.; Gutt-Will, M.; Mathis, A.; Saur, S.; Raabe, A.; Mathis-Ullrich, F.
2021. Current directions in biomedical engineering, 7 (1), 67–71. doi:10.1515/cdbme-2021-1015
Slicer-DeepSeg: Open-Source Deep Learning Toolkit for Brain Tumour Segmentation
Zeineldin, R. A.; Weimann, P.; Karar, M. E.; Mathis-Ullrich, F.; Burgert, O.
2021. Current directions in biomedical engineering, 7 (1), 30–34. doi:10.1515/cdbme-2021-1007
Multimodal Risk-Map for Navigation Planning in Neurosurgical Interventions
Gerst, M.; Kunz, C.; Henrich, P.; Mathis-Ullrich, F.
2021. New Trends in Medical and Service Robotics – MESROB 2020, [International Workshop on New Trends in Medical and Service Robots, Basel]. Ed.: G. Rauter, 183–191, Springer International Publishing. doi:10.1007/978-3-030-58104-6_21
Augmented reality–assisted ventriculostomy
Schneider, M.; Kunz, C.; Pal’a, A.; Wirtz, C. R.; Mathis-Ullrich, F.; Hlaváč, M.
2021. Neurosurgical focus, 50 (1), Art.-Nr.: E16. doi:10.3171/2020.10.FOCUS20779
Multimodal Risk-based Path Planning for Neurosurgical Interventions
Kunz, C.; Gerst, M.; Henrich, P.; Schneider, M.; Hlavac, M.; Pala, A.; Mathis-Ullrich, F.
2021. Journal of medical devices, 15 (1), Art.Nr. 011108. doi:10.1115/1.4049550
Autonomous guidewire navigation using neural networks
Carstensen, L.; Behr, T.; Pusch, T.; Mathis-Ullrich, F.; Stallkamp, J.
2020. Biomedical engineering, 65 (s1), S61
Intraoperative motion patterns of surgical microscopes in neurosurgery
Philipp, M.; Mathis-Ullrich, F.
2020. Biomedical engineering, 65 (s1), S58-S62
Path Planning for Robotic Camera Guidance in Laparoscopy
Scheikl, P. M.; Zhebin, J.; Mathis-Ullrich, F.
2020. Biomedical engineering, 65 (s1)
A Simulation Environment for Visual Multi-Agent Reinforcement Learning in Robot-Assisted Laparoscopy
Scheikl, P. M.; Scheler, U.; Franke, N.; Mathis-Ullrich, F.
2020. Biomedical engineering, 65 (s1)
Intraoperative Data Acquisition through Visual Sensing of Surgical Workflow
Marzi, C.; Raczkowsky, J.; Mathis-Ullrich, F.
2019. Tagungsband - 18. Jahrestagung der Deutschen Gesellschaft für Computer- und Roboterassistierte Chirurgie e.V. (CURAC 2019). Hrsg.: O. Burgert, 171–172, Hochschule
Towards automated correction of brain shift using deep deformable magnetic resonance imaging-intraoperative ultrasound (MRI-iUS) registration
Zeineldin, R. A.; Karar, M. E.; Coburger, J.; Wirtz, C. R.; Mathis-Ullrich, F.; Burgert, O.
2020. Current directions in biomedical engineering, 6 (1). doi:10.1515/cdbme-2020-0039
Augmented Reality in the Operating Room for Neurosurgical Interventions
Kunz, C.; Mathis-Ullrich, F.; Hein, B.
2020. The Upper-Rhine Artificial Intelligence Symposium, 13th May, Karlsruhe
Multimodal Risk-Map for Navigation Planning in Neurosurgical Interventions
Kunz, C.; Gerst, M.; Henrich, P.; Mathis-Ullrich, F.
2021. New Trends in Medical and Service Robotics. Eds: G. Rauter, P. C. Cattin, A Zam, R. Riener, G. Carbone, D. Pisla, Springer
Infrared marker tracking with the HoloLens for neurosurgical interventions
Kunz, C.; Maurer, P.; Kees, F.; Henrich, P.; Marzi, C.; Hlaváč, M.; Schneider, M.; Mathis-Ullrich, F.
2020. Current directions in biomedical engineering, 6 (1), Art.-Nr.: 20200027. doi:10.1515/cdbme-2020-0027
Deep learning for semantic segmentation of organs and tissues in laparoscopic surgery
Scheikl, P. M.; Laschewski, S.; Kisilenko, A.; Davitashvili, T.; Müller, B.; Capek, M.; Müller-Stich, B. P.; Wagner, M.; Mathis-Ullrich, F.
2020. Current directions in biomedical engineering, 6 (1), Article no: 20200016. doi:10.1515/cdbme-2020-0016
Autonomous guidewire navigation in a two dimensional vascular phantom
Karstensen, L.; Behr, T.; Pusch, T. P.; Mathis-Ullrich, F.; Stallkamp, J.
2020. Current directions in biomedical engineering, 6 (1), Art.Nr. 20200007. doi:10.1515/cdbme-2020-0007
Analyzing Natural Language Commands during Laparoscopic Surgery for Robotic Camera Guidance
Scheikl, P. M.; Nigl, B.; Kunz, C.; Mathis-Ullrich, F.
2019. 18. Jahrestagung der Deutschen Gesellschaft für Computer- und Roboterassistierte Chirurgie e.V. - Tagungsband. Reutlingen, 19 - 21 September 2019. Hrsg.: O. Burgert, 29–31, Hochschule Reutlingen
Fast Volumetric Auto-Segmentation of Head CT Images in Emergency Situations for Ventricular Punctures
Kunz, C.; Henrich, P.; Scheikl, P. M.; Hlavac, M.; Schneider, M.; Heinz, W.; Hein, B.; Mathis-Ullrich, F.
2019. CURAC 2019 - 18. Jahrestagung der Deutschen Gesellschaft für Computer- und Roboterassistierte Chirurgie, Reutlingen, 19. - 21. September 2019. Hrsg.: O. Burgert, 41–46, Hochschule
Collaborative Control for Surgical Robots
Scheikl, P. M.; Lanz, D.; Mathis-Ullrich, F.
2019, Mai. IEEE International Conference on Robotics and Automation - Workshop: Open Challenges and State-of-the-Art in Control System Design and Technology Development for Surgical Robotic Systems (ICRA 2019), Montreal, Kanada, 20.–24. Mai 2019
A Mechatronic Interface for using Oblique-Viewing Endoscopes with Light Weight Robots for Laparoscopic Surgery
Petani, L.; Scheikl, P. M.; Mathis-Ullrich, F.
2019, Mai. IEEE International Conference on Robotics and Automation - Workshop: Open Challenges and State-of-the-Art in Control System Design and Technology Development for Surgical Robotic Systems (ICRA 2019), Montreal, Kanada, 20.–24. Mai 2019
Evaluation of Methods for Semantic Segmentation of Endoscopic Images
Bopp, B.; Scheikl, P. M.; Kunz, C.; Mathis-Ullrich, F.
2019, Mai. IEEE International Conference on Robotics and Automation - Workshop: Open Challenges and State-of-the-Art in Control System Design and Technology Development for Surgical Robotic Systems (ICRA 2019), Montreal, Kanada, 20.–24. Mai 2019
Collaborative Control for Surgical Robots
Scheikl, P. M.; Lanz, D.; Mathis-Ullrich, F.
2019, Mai
A Mechatronic Interface for using Oblique-Viewing Endoscopes with Light Weight Robots for Laparoscopic Surgery
Petani, L.; Scheikl, P. M.; Mathis-Ullrich, F.
2019, Mai
Evaluation of Methods for Semantic Segmentation of Endoscopic Images
Bopp, B.; Scheikl, P. M.; Kunz, C.; Mathis-Ullrich, F.
2019