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Melanie Schellenberg

Showing results (1-10 of 13) with videos related to

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Photoacoustics|March 15, 2021
Deep learning for biomedical photoacoustic imaging: A reviewJanek Gröhl, Melanie Schellenberg, Kris Dreher, et al.
Magnetic Resonance Imaging|December 22, 2024
Combination of deep learning reconstruction and quantification for dynamic contrast-enhanced (DCE) MRIJuntong Jing, Anthony Mekhanik, Melanie Schellenberg, et al.
NMR in Biomedicine|May 21, 2026
SELFIE: Self-Supervised Learning for Fast Dynamic Golden-Angle Radial MRIMelanie Schellenberg, Anthony Mekhanik, Victor Murray, et al.
Sensors (Basel, Switzerland)|August 26, 2023
Efficient Photoacoustic Image Synthesis with Deep LearningTom Rix, Kris K Dreher, Jan-Hinrich Nölke, et al.
Photoacoustics|October 25, 2022
Photoacoustic image synthesis with generative adversarial networksMelanie Schellenberg, Janek Gröhl, Kris K Dreher, et al.
International Journal of Computer Assisted Radiology and Surgery|May 16, 2021
Tattoo tomography: Freehand 3D photoacoustic image reconstruction with an optical patternNiklas Holzwarth, Melanie Schellenberg, Janek Gröhl, et al.
Photoacoustics|April 4, 2022
Semantic segmentation of multispectral photoacoustic images using deep learningMelanie Schellenberg, Kris K Dreher, Niklas Holzwarth, et al.
Journal of Biomedical Optics|April 5, 2022
SIMPA: an open-source toolkit for simulation and image processing for photonics and acousticsJanek Gröhl, Kris K Dreher, Melanie Schellenberg, et al.
IEEE Transactions on Medical Imaging|May 24, 2024
Photoacoustic Quantification of Tissue Oxygenation Using Conditional Invertible Neural NetworksJan-Hinrich Nolke, Tim J Adler, Melanie Schellenberg, et al.
Scientific Reports|June 13, 2026
Photoacoustic device fingerprints induce bias in deep learning modelsChristoph J Bender, Marcel Knopp, Niklas Holzwarth, et al.
Pageof 2

Showing results (1-10 of 13) with videos related to

Sort By:
Pageof 2
Photoacoustics|March 15, 2021
Deep learning for biomedical photoacoustic imaging: A reviewJanek Gröhl, Melanie Schellenberg, Kris Dreher, et al.
Magnetic Resonance Imaging|December 22, 2024
Combination of deep learning reconstruction and quantification for dynamic contrast-enhanced (DCE) MRIJuntong Jing, Anthony Mekhanik, Melanie Schellenberg, et al.
NMR in Biomedicine|May 21, 2026
SELFIE: Self-Supervised Learning for Fast Dynamic Golden-Angle Radial MRIMelanie Schellenberg, Anthony Mekhanik, Victor Murray, et al.
Sensors (Basel, Switzerland)|August 26, 2023
Efficient Photoacoustic Image Synthesis with Deep LearningTom Rix, Kris K Dreher, Jan-Hinrich Nölke, et al.
Photoacoustics|October 25, 2022
Photoacoustic image synthesis with generative adversarial networksMelanie Schellenberg, Janek Gröhl, Kris K Dreher, et al.
International Journal of Computer Assisted Radiology and Surgery|May 16, 2021
Tattoo tomography: Freehand 3D photoacoustic image reconstruction with an optical patternNiklas Holzwarth, Melanie Schellenberg, Janek Gröhl, et al.
Photoacoustics|April 4, 2022
Semantic segmentation of multispectral photoacoustic images using deep learningMelanie Schellenberg, Kris K Dreher, Niklas Holzwarth, et al.
Journal of Biomedical Optics|April 5, 2022
SIMPA: an open-source toolkit for simulation and image processing for photonics and acousticsJanek Gröhl, Kris K Dreher, Melanie Schellenberg, et al.
IEEE Transactions on Medical Imaging|May 24, 2024
Photoacoustic Quantification of Tissue Oxygenation Using Conditional Invertible Neural NetworksJan-Hinrich Nolke, Tim J Adler, Melanie Schellenberg, et al.
Scientific Reports|June 13, 2026
Photoacoustic device fingerprints induce bias in deep learning modelsChristoph J Bender, Marcel Knopp, Niklas Holzwarth, et al.
Pageof 2