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Deep Learning-Based Denoising of Mammographic Images Using Physics-Driven Data Augmentation.

, , , , and . Bildverarbeitung für die Medizin, page 94-100. Springer, (2020)

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Deep Learning-based Denoising of Mammographic Images using Physics-driven Data Augmentation., , , , and . CoRR, (2019)Estimation of Basis Line-Integrals in a Spectral Distortion-Modeled Photon Counting Detector Using Low-Order Polynomial Approximation of X-ray Transmittance., , , and . IEEE Trans. Med. Imaging, 36 (2): 560-573 (2017)Automated detection and quantification of COVID-19 airspace disease on chest radiographs: A novel approach achieving radiologist-level performance using a CNN trained on digital reconstructed radiographs (DRRs) from CT-based ground-truth., , , , , , , , , and 6 other author(s). CoRR, (2020)Training Deep Learning Models for 2D Spine X-rays Using Synthetic Images and Annotations Created from 3D CT Volumes., , , , , , , and . Bildverarbeitung für die Medizin, page 63-68. Springer, (2022)A Realistic Collimated X-Ray Image Simulation Pipeline., , , , , , and . DALI@MICCAI, volume 14379 of Lecture Notes in Computer Science, page 137-145. Springer, (2023)Corrigendum to "Polychromatic Iterative Statistical Material Image Reconstruction for Photon-Counting Computed Tomography"., , , , and . Int. J. Biomedical Imaging, (2018)Polychromatic Iterative Statistical Material Image Reconstruction for Photon-Counting Computed Tomography., , , , and . Int. J. Biomedical Imaging, (2016)Abstract: Realistic Collimated X-ray Image Simulation Pipeline., , , , , , and . Bildverarbeitung für die Medizin, page 218. Springer, (2024)Deep Learning-Based Denoising of Mammographic Images Using Physics-Driven Data Augmentation., , , , and . Bildverarbeitung für die Medizin, page 94-100. Springer, (2020)Combining 2-D and 3-D Weight-Bearing X-Ray Images., , , , , and . Bildverarbeitung für die Medizin, page 335-340. Springer, (2020)