Lena Maier-Hein
German Cancer Research Center
334 Papers
1.1K Citations
Lena Maier-Hein is an academic researcher from German Cancer Research Center. The author has contributed to research in topics: Computer science & Medicine. The author has an hindex of 36, co-authored 273 publications. Previous affiliations of Lena Maier-Hein include Heidelberg University & Karlsruhe Institute of Technology.
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Papers
•Posted Content
Local context encoding enables machine learning-based quantitative photoacoustics.
TL;DR: This work introduces the first machine learning-based approach to quantitative PA imaging (qPAI), which relies on learning the fluence in a voxel to deduce the corresponding optical absorption from PA images.
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Robust augmented reality guidance with fluorescent markers in laparoscopic surgery
Esther Wild,Dogu Teber,Daniel Schmid,Daniel Schmid,Tobias Simpfendörfer,Michael W. Müller,Ann-Christin Baranski,Hannes Kenngott,Klaus Kopka,Lena Maier-Hein +9 more
- 13 May 2016
TL;DR: In contrast to state-of-the-art needle-shaped fiducial markers, the fluorescent markers can be reliably tracked when occluded by smoke, blood or tissue, which makes the new 2D/3D intra-operative registration approach considerably more robust than state- of theart marker-based methods.
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Standardized accuracy assessment of the calypso wireless transponder tracking system.
Alfred M. Franz,Daniela Schmitt,Alexander Seitel,M. Chatrasingh,G. Echner,Uwe Oelfke,Simeon Nill,Wolfgang Birkfellner,Lena Maier-Hein +8 more
TL;DR: The results show that transponder tracking with the Calypso system provides a precision and accuracy below 1 mm in ideal clinical environments, which is comparable with other EM tracking systems.
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Pose-independent surface matching for intra-operative soft-tissue marker-less registration
Thiago R. Dos Santos,Alexander Seitel,Thomas Kilgus,Stefan Suwelack,Anna Laura Wekerle,Hannes Kenngott,Stefanie Speidel,Heinz Peter Schlemmer,Hans-Peter Meinzer,Tobias Heimann,Lena Maier-Hein +10 more
TL;DR: A new approach to establishing surface correspondences, which can be used to initialize fine surface matching algorithms in the context of intra-operative shape-based registration, which does not require any prior knowledge on the relative poses of the input surfaces to each other, does not rely on the detection of prominent surface features, is robust to noise and could be used for overlapping surfaces.
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Anser EMT: the first open-source electromagnetic tracking platform for image-guided interventions
Herman Alexander Jaeger,Alfred M. Franz,Kilian O'Donoghue,Alexander Seitel,Fabian Trauzettel,Lena Maier-Hein,Pádraig Cantillon-Murphy +6 more
TL;DR: This work provides implementation schematics for the Anser project which relies on low-cost acquisition and demodulation techniques using both National Instruments and Arduino hardware alongside MATLAB support code and believes that novel and collaborative approaches can overcome the limitations of current EMT technology.
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