no code implementations • 15 Jul 2022 • Fabian Wagner, Mareike Thies, Felix Denzinger, Mingxuan Gu, Mayank Patwari, Stefan Ploner, Noah Maul, Laura Pfaff, Yixing Huang, Andreas Maier
Low-dose computed tomography (CT) denoising algorithms aim to enable reduced patient dose in routine CT acquisitions while maintaining high image quality.
no code implementations • 28 Mar 2022 • Mayank Patwari, Ralf Gutjahr, Rainer Raupach, Andreas Maier
The tuning is carried out by two deep CNNs.
1 code implementation • 25 Jan 2022 • Fabian Wagner, Mareike Thies, Mingxuan Gu, Yixing Huang, Sabrina Pechmann, Mayank Patwari, Stefan Ploner, Oliver Aust, Stefan Uderhardt, Georg Schett, Silke Christiansen, Andreas Maier
Due to the extremely low number of trainable parameters with well-defined effect, prediction reliance and data integrity is guaranteed at any time in the proposed pipelines, in contrast to most other deep learning-based denoising architectures.
no code implementations • 2 Apr 2021 • Wooram Kang, Mayank Patwari
The results and the performances of our approach overtake the results of the other previous methods.
no code implementations • 9 Jul 2020 • Mayank Patwari, Ralf Gutjahr, Rainer Raupach, Andreas Maier
Denoising of clinical CT images is an active area for deep learning research.
no code implementations • 9 Jul 2020 • Mayank Patwari, Ralf Gutjahr, Rainer Raupach, Andreas Maier
JBFnet is split into four filtering blocks, each of which performs Joint Bilateral Filtering.