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Fabian Wagner

Showing results (21-30 of 55) with videos related to

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Proceedings of the National Academy of Sciences of the United States of America|April 26, 2017
Air quality, health, and climate implications of China's synthetic natural gas developmentYue Qin, Fabian Wagner, Noah Scovronick, et al.
Optics Express|November 14, 2024
Reducing penumbral blur in computed tomography by learning the inverse finite focal spot modelHaiJun Yu, ChuanJiang Liu, Mareike Thies, et al.
Scientific Reports|December 19, 2023
Self-supervised MRI denoising: leveraging Stein's unbiased risk estimator and spatially resolved noise mapsLaura Pfaff, Julian Hossbach, Elisabeth Preuhs, et al.
Nature Communications|May 9, 2019
The impact of human health co-benefits on evaluations of global climate policyNoah Scovronick, Mark Budolfson, Francis Dennig, et al.
Medical Physics|December 27, 2023
Simulation-driven training of vision transformers enables metal artifact reduction of highly truncated CBCT scansFuxin Fan, Ludwig Ritschl, Marcel Beister, et al.
Brain Structure & Function|March 8, 2018
Grey-matter network disintegration as predictor of cognitive and motor function with agingMarisa Koini, Marco Duering, Benno G Gesierich, et al.
Frontiers in Psychiatry|May 21, 2020
Gray Matter Covariance Networks as Classifiers and Predictors of Cognitive Function in Alzheimer's DiseaseFabian Wagner, Marco Duering, Benno G Gesierich, et al.
Scientific Reports|October 20, 2022
Trainable joint bilateral filters for enhanced prediction stability in low-dose CTFabian Wagner, Mareike Thies, Felix Denzinger, et al.
Journal of Microscopy|May 31, 2022
Calibration by differentiation - Self-supervised calibration for X-ray microscopy using a differentiable cone-beam reconstruction operatorMareike Thies, Fabian Wagner, Yixing Huang, et al.
Journal of Medical Imaging (Bellingham, Wash.)|April 17, 2026
Filter2Noise: a framework for interpretable and zero-shot low-dose CT image denoisingYipeng Sun, Linda-Sophie Schneider, Siyuan Mei, et al.
Pageof 6

Showing results (21-30 of 55) with videos related to

Sort By:
Pageof 6
Proceedings of the National Academy of Sciences of the United States of America|April 26, 2017
Air quality, health, and climate implications of China's synthetic natural gas developmentYue Qin, Fabian Wagner, Noah Scovronick, et al.
Optics Express|November 14, 2024
Reducing penumbral blur in computed tomography by learning the inverse finite focal spot modelHaiJun Yu, ChuanJiang Liu, Mareike Thies, et al.
Scientific Reports|December 19, 2023
Self-supervised MRI denoising: leveraging Stein's unbiased risk estimator and spatially resolved noise mapsLaura Pfaff, Julian Hossbach, Elisabeth Preuhs, et al.
Nature Communications|May 9, 2019
The impact of human health co-benefits on evaluations of global climate policyNoah Scovronick, Mark Budolfson, Francis Dennig, et al.
Medical Physics|December 27, 2023
Simulation-driven training of vision transformers enables metal artifact reduction of highly truncated CBCT scansFuxin Fan, Ludwig Ritschl, Marcel Beister, et al.
Brain Structure & Function|March 8, 2018
Grey-matter network disintegration as predictor of cognitive and motor function with agingMarisa Koini, Marco Duering, Benno G Gesierich, et al.
Frontiers in Psychiatry|May 21, 2020
Gray Matter Covariance Networks as Classifiers and Predictors of Cognitive Function in Alzheimer's DiseaseFabian Wagner, Marco Duering, Benno G Gesierich, et al.
Scientific Reports|October 20, 2022
Trainable joint bilateral filters for enhanced prediction stability in low-dose CTFabian Wagner, Mareike Thies, Felix Denzinger, et al.
Journal of Microscopy|May 31, 2022
Calibration by differentiation - Self-supervised calibration for X-ray microscopy using a differentiable cone-beam reconstruction operatorMareike Thies, Fabian Wagner, Yixing Huang, et al.
Journal of Medical Imaging (Bellingham, Wash.)|April 17, 2026
Filter2Noise: a framework for interpretable and zero-shot low-dose CT image denoisingYipeng Sun, Linda-Sophie Schneider, Siyuan Mei, et al.
Pageof 6