Noise2Contrast: Multi-contrast Fusion Enables Self-supervised Tomographic Image Denoising

Fabian Wagner; Mareike Thies; Laura Pfaff; Noah Maul; Sabrina Pechmann; Mingxuan Gu; Jonas Utz; Oliver Aust; Daniela Weidner; Georgiana Neag; Stefan Uderhardt; Jang‐Hwan Choi; Andreas Maier

doi:10.1007/978-3-031-34048-2_59

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Noise2Contrast: Multi-contrast Fusion Enables Self-supervised Tomographic Image Denoising

Fabian Wagner Mareike Thies Laura Pfaff Noah Maul Sabrina Pechmann Mingxuan Gu Jonas Utz Oliver Aust Daniela Weidner Georgiana Neag Stefan Uderhardt Jang‐Hwan Choi Andreas Maier

Year: 2023 Lecture notes in computer science Pages: 771-782 Publisher: Springer Science+Business Media

DOI: 10.1007/978-3-031-34048-2_59

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Keywords:

Computer science Noise reduction Artificial intelligence Ground truth Pattern recognition (psychology) Noise (video) Energy (signal processing) Contrast (vision) Image (mathematics) Computer vision Mathematics

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Image and Signal Denoising Methods

Physical Sciences → Computer Science → Computer Vision and Pattern Recognition

Photoacoustic and Ultrasonic Imaging

Physical Sciences → Engineering → Biomedical Engineering

Seismic Imaging and Inversion Techniques

Physical Sciences → Earth and Planetary Sciences → Geophysics

Noise2Contrast: Multi-contrast Fusion Enables Self-supervised Tomographic Image Denoising

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