Skip to content
Menu
Technical University of Munich
Technical University of Munich

Christine Eilers

Inaktiv: Der Benutzer ist in TUMonline nicht mehr aktiv!
Inactive: The user is not active in TUMonline anymore!

Research Interests

  • Medical Robotics
  • Intelligent Robotics
  • Robotic Ultrasound
  • Thyroid Diagnostics
  • US Compounding

Curriculum Vitae

  • 10/2012 - 06/2016: Bachelor in Engineering Science at Technical University of Munich
  • 10/2016 - 06/2019: Master in Robotics, Cognition, Intelligence at Techincal University of Munich
  • from 09/2019: PhD candidate at the Chair for Computer Aided Medical Procedures & Augmented Reality at Technical University of Munich

Publications

  • Wysocki, Magdalena; Azampour, Mohammad Farid; Eilers, Christine; Busam, Benjamin; Salehi, Mehrdad; Navab, Nassir: Ultra-NeRF: Neural Radiance Fields for Ultrasound Imaging. 2023 more…
  • Sutedjo, Viviana; Tirindelli, Maria; Eilers, Christine; Simson, Walter; Busam, Benjamin; Navab, Nassir: Acoustic Shadowing Aware Robotic Ultrasound: Lighting up the Dark. IEEE Robotics and Automation Letters 7 (2), 2022, 1808-1815 more…
  • Zielke, John; Eilers, Christine; Busam, Benjamin; Weber, Wolfgang; Navab, Nassir; Wendler, Thomas: RSV: Robotic Sonography for Thyroid Volumetry. IEEE Robotics and Automation Letters 7 (2), 2022, 3342-3348 more…
  • Tirindelli, M.; Eilers, C.; Simson, W.; Paschali, M.; Azampour, M.; Navab, N.: Rethinking Ultrasound Augmentation: A Physics-Inspired Approach. arXiv preprint arXiv:2105.02188, 2021 more…

Teaching

Winter term 2022/23

TitleDatesTypeDurationLecturer (assistant)
Innovation Generation in The Healthcare Domain (IN9048)LinkVI4

Student Projects

Currently running projects:

  • Intra- and Intervariability in 2D and 3D Ultrasound for Thyroid Volumetry - Melanie Köhler (medical doctoral thesis)
  • Multi-structure segmentation of the neck - Arcangelo Capozzolo & Felix Schnabel (klinisches Anwendungsfach)
  • Thyroid nodule segmentation in ultrasound images - Stefan Schärdinger (klinisches Anwendungsfach)
  • Deep Learning-based thyroid scintigraphy simulation for activity uptake estimation - Korbinian Träuble (master thesis)

Past projects:

  • Anatomy-dependant Force Adjustment for Robotic Ultrasound through External Force Sensing - Demir Arikan (bachelor thesis)
  • Increasing trust in Robotic Ultrasound Approaches through Emotion Tracking - Rob van Kemenade (master thesis)
  • Robotic Ultrasound Approach to the neck for Thyroid Scanning - Demir Arikan and Sinan Ergezer (klinisches Anwendungsfach)
  • Path Planning Optimization for Robotic Ultrasound Scanning - Viviana Sutedjo (master thesis)
  • Automatic Robotic Sonography for Thyroid Volumetry - John Zielke (master thesis)
  • 3D Ultrasound Compounding for Volume Estimation in Thyroid Diagnostics - Lemonia Konstantinidou (master thesis)
  • GATE-based scintigraphy simulation of the thyroid - Christian Brechenmacher (klinisches Anwendungsfach)

 

 

To top