日期:
2020 年 — 2026 年
2020
2021
2022
2023
2024
2025
2026
影响因子:

Reconstructing and analyzing the invariances of low-dose CT image denoising networks

重建和分析低剂量CT图像去噪网络的不变性

Eulig, Elias; Jäger, Fabian; Maier, Joscha; Ommer, Björn; Kachelrieß, Marc

Latent space reconstruction for missing data problems in CT

CT 数据缺失问题的潜在空间重建

Kabelac, Anton; Eulig, Elias; Maier, Joscha; Hammermann, Maximilian; Knaup, Michael; Kachelrieß, Marc

Noise-augmented deep denoising: A method to boost CT image denoising networks

噪声增强深度去噪:一种增强CT图像去噪网络的方法

Kristof, Gernot; Eulig, Elias; Kachelrieß, Marc

Multiple redox switches of the SARS-CoV-2 main protease in vitro provide opportunities for drug design

SARS-CoV-2 主蛋白酶的体外多重氧化还原开关为药物设计提供了机会

Lisa-Marie Funk, Gereon Poschmann, Fabian Rabe von Pappenheim, Ashwin Chari, Kim M Stegmann, Antje Dickmanns, Marie Wensien, Nora Eulig, Elham Paknia, Gabi Heyne, Elke Penka, Arwen R Pearson, Carsten Berndt, Tobias Fritz, Sophia Bazzi, Jon Uranga, Ricardo A Mata, Matthias Dobbelstein, Rolf Hilgenfel

Benchmarking deep learning-based low-dose CT image denoising algorithms

对基于深度学习的低剂量CT图像去噪算法进行基准测试

Eulig, Elias; Ommer, Björn; Kachelrieß, Marc