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Mathis Hoffmann

Showing results (1-10 of 5) with videos related to

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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.
Scientific Reports|April 30, 2025
Deep learning-based classification of coronary arteries and left ventricle using multimodal data for autonomous protocol selection or adjustment in angiographyArpitha Ravi, Philipp Bernhardt, Mathis Hoffmann, et al.
IEEE Transactions on Medical Imaging|June 6, 2018
Deep Learning Computed Tomography: Learning Projection-Domain Weights From Image Domain in Limited Angle ProblemsTobias Wurfl, Mathis Hoffmann, Vincent Christlein, et al.
Journal of Medical Imaging (Bellingham, Wash.)|July 22, 2024
Optimizing neurointerventional procedures: an algorithm for embolization coil detection and automated collimation to enable dose reductionArpitha Ravi, Philipp Bernhardt, Mathis Hoffmann, 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 5) with videos related to

Sort By:
Pageof 1
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.
Scientific Reports|April 30, 2025
Deep learning-based classification of coronary arteries and left ventricle using multimodal data for autonomous protocol selection or adjustment in angiographyArpitha Ravi, Philipp Bernhardt, Mathis Hoffmann, et al.
IEEE Transactions on Medical Imaging|June 6, 2018
Deep Learning Computed Tomography: Learning Projection-Domain Weights From Image Domain in Limited Angle ProblemsTobias Wurfl, Mathis Hoffmann, Vincent Christlein, et al.
Journal of Medical Imaging (Bellingham, Wash.)|July 22, 2024
Optimizing neurointerventional procedures: an algorithm for embolization coil detection and automated collimation to enable dose reductionArpitha Ravi, Philipp Bernhardt, Mathis Hoffmann, 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