Search Results for author: Melanie Schellenberg

Found 8 papers, 1 papers with code

Semantic segmentation of multispectral photoacoustic images using deep learning

no code implementations20 May 2021 Melanie Schellenberg, Kris Dreher, Niklas Holzwarth, Fabian Isensee, Annika Reinke, Nicholas Schreck, Alexander Seitel, Minu D. Tizabi, Lena Maier-Hein, Janek Gröhl

Due to the intuitive representation of high-dimensional information, such a preprocessing algorithm could be a valuable means to facilitate the clinical translation of photoacoustic imaging.

Segmentation Semantic Segmentation +1

Tattoo tomography: Freehand 3D photoacoustic image reconstruction with an optical pattern

no code implementations10 Nov 2020 Niklas Holzwarth, Melanie Schellenberg, Janek Gröhl, Kris Dreher, Jan-Hinrich Nölke, Alexander Seitel, Minu D. Tizabi, Beat P. Müller-Stich, Lena Maier-Hein

Methods: In this paper, we present a novel approach to 3D reconstruction of PAT data (Tattoo tomography) that does not require an external tracking system and can smoothly be integrated into clinical workflows.

3D Reconstruction Image Reconstruction

Deep learning for biomedical photoacoustic imaging: A review

no code implementations5 Nov 2020 Janek Gröhl, Melanie Schellenberg, Kris Dreher, Lena Maier-Hein

Photoacoustic imaging (PAI) is a promising emerging imaging modality that enables spatially resolved imaging of optical tissue properties up to several centimeters deep in tissue, creating the potential for numerous exciting clinical applications.

Image Reconstruction Translation

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