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Tobias Würfl

Showing results (1-10 of 9) with videos related to

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Scientific Reports|December 13, 2019
Projection-to-Projection Translation for Hybrid X-ray and Magnetic Resonance ImagingBernhard Stimpel, Christopher Syben, Tobias Würfl, et al.
Medical Physics|December 8, 2019
Calibration-free beam hardening reduction in x-ray CBCT using the epipolar consistency condition and physical constraintsTobias Würfl, Mathis Hoffmann, André Aichert, et al.
Studies in Health Technology and Informatics|September 9, 2017
Deep Learning for Magnetic Resonance Fingerprinting: A New Approach for Predicting Quantitative Parameter Values from Time SeriesElisabeth Hoppe, Gregor Körzdörfer, Tobias Würfl, et al.
Computer Methods and Programs in Biomedicine|January 24, 2017
Optimizing R with SparkR on a commodity cluster for biomedical researchMartin Sedlmayr, Tobias Würfl, Christian Maier, et al.
Scientific Reports|September 2, 2024
Impact of acquisition area on deep-learning-based glaucoma detection in different plexuses in OCTAJulia Schottenhamml, Tobias Würfl, Stefan Ploner, et al.
Scientific Reports|May 5, 2024
Glaucoma detection using non-perfused areas in OCTAJulia Schottenhamml, Tobias Würfl, Stefan Ploner, et al.
Scientific Reports|June 27, 2023
SSN2V: unsupervised OCT denoising using speckle splitJulia Schottenhamml, Tobias Würfl, Stefan B Ploner, et al.
Biomedical Optics Express|January 10, 2022
Glaucoma classification in 3 x 3 mm en face macular scans using deep learning in a different plexusJulia Schottenhamml, Tobias Würfl, Sophia Mardin, et al.
Nature Machine Intelligence|August 14, 2019
Learning with Known Operators reduces Maximum Training Error BoundsAndreas K Maier, Christopher Syben, Bernhard Stimpel, et al.
Pageof 1

Showing results (1-10 of 9) with videos related to

Sort By:
Pageof 1
Scientific Reports|December 13, 2019
Projection-to-Projection Translation for Hybrid X-ray and Magnetic Resonance ImagingBernhard Stimpel, Christopher Syben, Tobias Würfl, et al.
Medical Physics|December 8, 2019
Calibration-free beam hardening reduction in x-ray CBCT using the epipolar consistency condition and physical constraintsTobias Würfl, Mathis Hoffmann, André Aichert, et al.
Studies in Health Technology and Informatics|September 9, 2017
Deep Learning for Magnetic Resonance Fingerprinting: A New Approach for Predicting Quantitative Parameter Values from Time SeriesElisabeth Hoppe, Gregor Körzdörfer, Tobias Würfl, et al.
Computer Methods and Programs in Biomedicine|January 24, 2017
Optimizing R with SparkR on a commodity cluster for biomedical researchMartin Sedlmayr, Tobias Würfl, Christian Maier, et al.
Scientific Reports|September 2, 2024
Impact of acquisition area on deep-learning-based glaucoma detection in different plexuses in OCTAJulia Schottenhamml, Tobias Würfl, Stefan Ploner, et al.
Scientific Reports|May 5, 2024
Glaucoma detection using non-perfused areas in OCTAJulia Schottenhamml, Tobias Würfl, Stefan Ploner, et al.
Scientific Reports|June 27, 2023
SSN2V: unsupervised OCT denoising using speckle splitJulia Schottenhamml, Tobias Würfl, Stefan B Ploner, et al.
Biomedical Optics Express|January 10, 2022
Glaucoma classification in 3 x 3 mm en face macular scans using deep learning in a different plexusJulia Schottenhamml, Tobias Würfl, Sophia Mardin, et al.
Nature Machine Intelligence|August 14, 2019
Learning with Known Operators reduces Maximum Training Error BoundsAndreas K Maier, Christopher Syben, Bernhard Stimpel, et al.
Pageof 1