A total variation based approach to correcting surface coil magnetic resonance images. - Stephen L. Keeling; Michael Hintermüller; Florian Knoll; Daniel Kraft; Antoine Laurain (Appl. Math. Comput., 2011)

An image space approach to Cartesian based parallel MR imaging with total variation regularization. - Stephen L. Keeling; Christian Clason; Michael Hintermüller; Florian Knoll; Antoine Laurain; Gregory von Winckel (Medical Image Anal., 2012)

The Agile Library for Biomedical Image Reconstruction Using GPU Acceleration. - Manuel Freiberger; Florian Knoll; Kristian Bredies; Hermann Scharfetter; Rudolf Stollberger (Comput. Sci. Eng., 2013)

Total Generalized Variation in Diffusion Tensor Imaging. - Tuomo Valkonen; Kristian Bredies; Florian Knoll (SIAM J. Imaging Sci., 2013)

Fast T2 Mapping With Improved Accuracy Using Undersampled Spin-Echo MRI and Model-Based Reconstructions With a Generating Function. - Tilman J. Sumpf; Andreas Petrovic; Martin Uecker; Florian Knoll; Jens Frahm (IEEE Trans. Medical Imaging, 2014)

Preconditioned ADMM with Nonlinear Operator Constraint. - Martin Benning; Florian Knoll; Carola-Bibiane Schönlieb; Tuomo Valkonen (System Modelling and Optimization, 2015)

The rapid imaging renaissance: sparser samples, denser dimensions, and glimmerings of a grand unified tomography. - Daniel K. Sodickson; Li Feng; Florian Knoll; Martijn A. Cloos; Noam Ben-Eliezer; Leon Axel; Hersh Chandarana; Tobias Block; Ricardo Otazo (Biomedical Applications in Molecular, Structural, and Functional Imaging, 2015)

Learning a Variational Network for Reconstruction of Accelerated MRI Data. - Kerstin Hammernik; Teresa Klatzer; Erich Kobler; Michael P. Recht; Daniel K. Sodickson; Thomas Pock; Florian Knoll (CoRR, 2017)

Joint MR-PET Reconstruction Using a Multi-Channel Image Regularizer. - Florian Knoll; Martin Holler; Thomas Kösters; Ricardo Otazo; Kristian Bredies; Daniel K. Sodickson (IEEE Trans. Medical Imaging, 2017)

Variational Deep Learning for Low-Dose Computed Tomography. - Erich Kobler; Matthew J. Muckley; Baiyu Chen; Florian Knoll; Kerstin Hammernik; Thomas Pock; Daniel K. Sodickson; Ricardo Otazo (ICASSP, 2018)

Multicompartment Magnetic Resonance Fingerprinting. - Sunli Tang; Carlos Fernandez-Granda; Sylvain Lannuzel; Brett Bernstein; Riccardo Lattanzi; Martijn A. Cloos; Florian Knoll; Jakob Assländer (CoRR, 2018)

fastMRI: An Open Dataset and Benchmarks for Accelerated MRI. - Jure Zbontar; Florian Knoll; Anuroop Sriram; Matthew J. Muckley; Mary Bruno; Aaron Defazio; Marc Parente; Krzysztof J. Geras; Joe Katsnelson; Hersh Chandarana; Zizhao Zhang; Michal Drozdzal; et al. (CoRR, 2018)

Evaluation of Parallel Level Sets and Bowsher's Method as Segmentation-Free Anatomical Priors for Time-of-Flight PET Reconstruction. - Georg Schramm; Martin Holler; Ahmadreza Rezaei; Kathleen Vunckx; Florian Knoll; Kristian Bredies; Fernando E. Boada; Johan Nuyts (IEEE Trans. Medical Imaging, 2018)

Joint Multi-anatomy Training of a Variational Network for Reconstruction of Accelerated Magnetic Resonance Image Acquisitions. - Patricia M. Johnson; Matthew J. Muckley; Mary Bruno; Erich Kobler; Kerstin Hammernik; Thomas Pock; Florian Knoll (MLMIR@MICCAI, 2019)

Deep Learning Methods for Parallel Magnetic Resonance Image Reconstruction. - Florian Knoll; Kerstin Hammernik; Chi Zhang 057; Steen Moeller; Thomas Pock; Daniel K. Sodickson; Mehmet Akçakaya (CoRR, 2019)

End-to-End Variational Networks for Accelerated MRI Reconstruction. - Anuroop Sriram; Jure Zbontar; Tullie Murrell; Aaron Defazio; C. Lawrence Zitnick; Nafissa Yakubova; Florian Knoll; Patricia M. Johnson (MICCAI (2), 2020)

Advancing machine learning for MR image reconstruction with an open competition: Overview of the 2019 fastMRI challenge. - Florian Knoll; Tullie Murrell; Anuroop Sriram; Nafissa Yakubova; Jure Zbontar; Michael G. Rabbat; Aaron Defazio; Matthew J. Muckley; Daniel K. Sodickson; C. Lawrence Zitnick; Michael P. Recht (CoRR, 2020)

CG-SENSE revisited: Results from the first ISMRM reproducibility challenge. - Oliver Maier; Steven H. Baete; Alexander Fyrdahl; Kerstin Hammernik; Seb Harrevelt; Lars Kasper; Agah Karakuzu; Michael Loecher; Franz Patzig; Ye Tian; Ke Wang; Daniel Gallichan; et al. (CoRR, 2020)

State-of-the-Art Machine Learning MRI Reconstruction in 2020: Results of the Second fastMRI Challenge. - Matthew J. Muckley; Bruno Riemenschneider; Alireza Radmanesh; Sunwoo Kim; Geunu Jeong; Jingyu Ko; Yohan Jun; Hyungseob Shin; Dosik Hwang; Mahmoud Mostapha; Simon Arberet; Dominik Nickel; et al. (CoRR, 2020)

Deep-Learning Methods for Parallel Magnetic Resonance Imaging Reconstruction: A Survey of the Current Approaches, Trends, and Issues. - Florian Knoll; Kerstin Hammernik; Chi Zhang 057; Steen Moeller; Thomas Pock; Daniel K. Sodickson; Mehmet Akçakaya (IEEE Signal Process. Mag., 2020)

A Simulation Pipeline to Generate Realistic Breast Images for Learning DCE-MRI Reconstruction. - Zhengnan Huang; Jonghyun Bae; Patricia M. Johnson; Terlika Sood; Laura Heacock; Justin Fogarty; Linda Moy; Sungheon Gene Kim; Florian Knoll (MLMIR@MICCAI, 2021)

Evaluation of the Robustness of Learned MR Image Reconstruction to Systematic Deviations Between Training and Test Data for the Models from the fastMRI Challenge. - Patricia M. Johnson; Geunu Jeong; Kerstin Hammernik; Jo Schlemper; Chen Qin; Jinming Duan 001; Daniel Rueckert; Jingu Lee; Nicola Pezzotti; Elwin de Weerdt; Sahar Yousefi; Mohamed S. Elmahdy; et al. (MLMIR@MICCAI, 2021)

fastMRI+: Clinical Pathology Annotations for Knee and Brain Fully Sampled Multi-Coil MRI Data. - Ruiyang Zhao; Burhaneddin Yaman; Yuxin Zhang; Russell Stewart; Austin Dixon; Florian Knoll; Zhengnan Huang; Yvonne W. Lui; Michael S. Hansen; Matthew P. Lungren (CoRR, 2021)

Results of the 2020 fastMRI Challenge for Machine Learning MR Image Reconstruction. - Matthew J. Muckley; Bruno Riemenschneider; Alireza Radmanesh; Sunwoo Kim; Geunu Jeong; Jingyu Ko; Yohan Jun; Hyungseob Shin; Dosik Hwang; Mahmoud Mostapha; Simon Arberet; Dominik Nickel; et al. (IEEE Trans. Medical Imaging, 2021)

Physics-Driven Deep Learning for Computational Magnetic Resonance Imaging. - Kerstin Hammernik; Thomas Küstner; Burhaneddin Yaman; Zhengnan Huang; Daniel Rueckert; Florian Knoll; Mehmet Akçakaya (CoRR, 2022)

Alternating Learning Approach for Variational Networks and Undersampling Pattern in Parallel MRI Applications. - Marcelo Victor Wüst Zibetti; Florian Knoll; Ravinder R. Regatte (IEEE Trans. Computational Imaging, 2022)

Bayesian Uncertainty Estimation of Learned Variational MRI Reconstruction. - Dominik Narnhofer; Alexander Effland; Erich Kobler; Kerstin Hammernik; Florian Knoll; Thomas Pock (IEEE Trans. Medical Imaging, 2022)

Physics-Driven Deep Learning for Computational Magnetic Resonance Imaging: Combining physics and machine learning for improved medical imaging. - Kerstin Hammernik; Thomas Küstner; Burhaneddin Yaman; Zhengnan Huang; Daniel Rueckert; Florian Knoll; Mehmet Akçakaya (IEEE Signal Process. Mag., 2023)

Stable Deep MRI Reconstruction Using Generative Priors. - Martin Zach; Florian Knoll; Thomas Pock (IEEE Trans. Medical Imaging, 2023)

Data Consistent Variational Networks for Zero-shot Self-supervised MR Reconstruction. - Florian Fürnrohr; Jens Wetzl; Marc Vornehm; Daniel Giese; Florian Knoll (Bildverarbeitung für die Medizin, 2024)

Exploring GPT-4 as MR Sequence and Reconstruction Programming Assistant - GPT4MR. - Moritz Zaiss; Junaid R. Rajput; Hoai Nam Dang; Vladimir Golkov; Daniel Cremers; Florian Knoll; Andreas K. Maier (Bildverarbeitung für die Medizin, 2024)

Death by Retrospective Undersampling - Caveats and Solutions for Learning-Based MRI Reconstructions. - Junaid R. Rajput; Simon Weinmueller; Jonathan Endres; Peter Dawood; Florian Knoll; Andreas K. Maier; Moritz Zaiss (MICCAI (7), 2024)

Domain Influence in MRI Medical Image Segmentation: Spatial Versus k-Space Inputs. - Erik Gösche; Reza Eghbali; Florian Knoll; Andreas M. Rauschecker (MLMI@MICCAI (1), 2024)

Comparative Study on Co-registration Techniques for Diffusion-Weighted Breast MRI and Improved ADC Mapping. - Luise Brock; Andrzej Liebert; Hannes Schreiter; Dominika Skwierawska; Chris Ehring; Jessica Eberle; Frederik B. Laun; Michael Uder; Lorenz A. Kapsner; Sabine Ohlmeyer; Dominique Hadler; Florian Knoll; et al. (WBIR, 2024)

Accelerated MR Cholangiopancreatography with Deep Learning-based Reconstruction. - Jinho Kim; Marcel Dominik Nickel; Florian Knoll (CoRR, 2024)

fastMRI Breast: A publicly available radial k-space dataset of breast dynamic contrast-enhanced MRI. - Eddy Solomon; Patricia M. Johnson; Zhengguo Tan; Radhika Tibrewala; Yvonne W. Lui; Florian Knoll; Linda Moy; Sungheon Gene Kim; Laura Heacock (CoRR, 2024)

Motion-Guided Deep Image Prior for Cardiac MRI. - Marc Vornehm; Chong Chen; Muhammad Ahmad Sultan; Syed Murtaza Arshad; Yuchi Han; Florian Knoll; Rizwan Ahmad (CoRR, 2024)

Abstract: Death by Retrospective Undersampling - Caveats and Solutions for Learning-Based MRI Reconstructions. - Junaid R. Rajput; Simon Weinmueller; Jonathan Endres; Peter Dawood; Florian Knoll; Andreas K. Maier; Moritz Zaiss (Bildverarbeitung für die Medizin, 2025)