Florian Knoll

47 papers Misc 1Journal 32Unranked 12
YearRankTypeTitle / Venue / Authors
2026 J jnl
Understanding the Curse of Unrolling.
CoRR
Sheheryar Mehmood, Florian Knoll, Peter Ochs
2025 — conf
Abstract: Death by Retrospective Undersampling - Caveats and Solutions for Learning-Based MRI Reconstructions.
Bildverarbeitung für die Medizin
Junaid R. Rajput, Simon Weinmueller, Jonathan Endres, Peter Dawood, Florian Knoll, Andreas K. Maier, Moritz Zaiss
2025 J jnl
Zero-shot self-supervised learning of single breath-hold magnetic resonance cholangiopancreatography (MRCP) reconstruction.
CoRR
Jinho Kim, Marcel Dominik Nickel, Florian Knoll
2024 J jnl
Accelerated MR Cholangiopancreatography with Deep Learning-based Reconstruction.
CoRR
Jinho Kim, Marcel Dominik Nickel, Florian Knoll
2024 — conf
Comparative Study on Co-registration Techniques for Diffusion-Weighted Breast MRI and Improved ADC Mapping.
WBIR
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, Sebastian Bickelhaupt
2024 — conf
Data Consistent Variational Networks for Zero-shot Self-supervised MR Reconstruction.
Bildverarbeitung für die Medizin
Florian Fürnrohr, Jens Wetzl, Marc Vornehm, Daniel Giese, Florian Knoll
2024 — conf
Death by Retrospective Undersampling - Caveats and Solutions for Learning-Based MRI Reconstructions.
MICCAI (7)
Junaid R. Rajput, Simon Weinmueller, Jonathan Endres, Peter Dawood, Florian Knoll, Andreas K. Maier, Moritz Zaiss
2024 — conf
Domain Influence in MRI Medical Image Segmentation: Spatial Versus k-Space Inputs.
MLMI@MICCAI (1)
Erik Gösche, Reza Eghbali, Florian Knoll, Andreas M. Rauschecker
2024 — conf
Exploring GPT-4 as MR Sequence and Reconstruction Programming Assistant - GPT4MR.
Bildverarbeitung für die Medizin
Moritz Zaiss, Junaid R. Rajput, Hoai Nam Dang, Vladimir Golkov, Daniel Cremers, Florian Knoll, Andreas K. Maier
2024 J jnl
Motion-Guided Deep Image Prior for Cardiac MRI.
CoRR
Marc Vornehm, Chong Chen, Muhammad Ahmad Sultan, Syed Murtaza Arshad, Yuchi Han, Florian Knoll, Rizwan Ahmad
2024 J jnl
fastMRI Breast: A publicly available radial k-space dataset of breast dynamic contrast-enhanced MRI.
CoRR
Eddy Solomon, Patricia M. Johnson, Zhengguo Tan, Radhika Tibrewala, Yvonne W. Lui, Florian Knoll, Linda Moy, Sungheon Gene Kim, Laura Heacock
2023 J jnl
Physics-Driven Deep Learning for Computational Magnetic Resonance Imaging: Combining physics and machine learning for improved medical imaging.
IEEE Signal Process. Mag.
Kerstin Hammernik, Thomas Küstner, Burhaneddin Yaman, Zhengnan Huang, Daniel Rueckert, Florian Knoll, Mehmet Akçakaya
2023 J jnl
Stable Deep MRI Reconstruction Using Generative Priors.
IEEE Trans. Medical Imaging
Martin Zach, Florian Knoll, Thomas Pock
2022 J jnl
Alternating Learning Approach for Variational Networks and Undersampling Pattern in Parallel MRI Applications.
IEEE Trans. Computational Imaging
Marcelo Victor Wüst Zibetti, Florian Knoll, Ravinder R. Regatte
2022 J jnl
Bayesian Uncertainty Estimation of Learned Variational MRI Reconstruction.
IEEE Trans. Medical Imaging
Dominik Narnhofer, Alexander Effland, Erich Kobler, Kerstin Hammernik, Florian Knoll, Thomas Pock
2022 J jnl
Physics-Driven Deep Learning for Computational Magnetic Resonance Imaging.
CoRR
Kerstin Hammernik, Thomas Küstner, Burhaneddin Yaman, Zhengnan Huang, Daniel Rueckert, Florian Knoll, Mehmet Akçakaya
2022 J jnl
Stable deep MRI reconstruction using Generative Priors.
CoRR
Martin Zach, Florian Knoll, Thomas Pock
2021 — conf
A Simulation Pipeline to Generate Realistic Breast Images for Learning DCE-MRI Reconstruction.
MLMIR@MICCAI
Zhengnan Huang, Jonghyun Bae, Patricia M. Johnson, Terlika Sood, Laura Heacock, Justin Fogarty, Linda Moy, Sungheon Gene Kim, Florian Knoll
2021 J jnl
Alternating Learning Approach for Variational Networks and Undersampling Pattern in Parallel MRI Applications.
CoRR
Marcelo V. W. Zibetti, Florian Knoll, Ravinder R. Regatte
2021 J jnl
Bayesian Uncertainty Estimation of Learned Variational MRI Reconstruction.
CoRR
Dominik Narnhofer, Alexander Effland, Erich Kobler, Kerstin Hammernik, Florian Knoll, Thomas Pock
2021 — conf
Evaluation of the Robustness of Learned MR Image Reconstruction to Systematic Deviations Between Training and Test Data for the Models from the fastMRI Challenge.
MLMIR@MICCAI
Patricia M. Johnson, Geunu Jeong, Kerstin Hammernik, Jo Schlemper, Chen Qin, Jinming Duan, Daniel Rueckert, Jingu Lee, Nicola Pezzotti, Elwin de Weerdt, Sahar Yousefi, Mohamed S. Elmahdy, Jeroen Hendrikus Franciscus Van Gemert, Christophe Schülke, Mariya Doneva, Tim Nielsen, Sergey Kastryulin, Boudewijn P. F. Lelieveldt, Matthias J. P. van Osch, Marius Staring, Eric Z. Chen, Puyang Wang, Xiao Chen, Terrence Chen, Vishal M. Patel, Shanhui Sun, Hyungseob Shin, Yohan Jun, Taejoon Eo, Sewon Kim, Taeseong Kim, Dosik Hwang, Patrick Putzky, Dimitrios Karkalousos, Jonas Teuwen, Nikita Miriakov, Bart Bakker, Matthan W. A. Caan, Max Welling, Matthew J. Muckley, Florian Knoll
2021 J jnl
Results of the 2020 fastMRI Challenge for Machine Learning MR Image Reconstruction.
IEEE Trans. Medical Imaging
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, Zaccharie Ramzi, Philippe Ciuciu, Jean-Luc Starck, Jonas Teuwen, Dimitrios Karkalousos, Chaoping Zhang, Anuroop Sriram, Zhengnan Huang, Nafissa Yakubova, Yvonne W. Lui, Florian Knoll
2021 J jnl
fastMRI+: Clinical Pathology Annotations for Knee and Brain Fully Sampled Multi-Coil MRI Data.
CoRR
Ruiyang Zhao, Burhaneddin Yaman, Yuxin Zhang, Russell Stewart, Austin Dixon, Florian Knoll, Zhengnan Huang, Yvonne W. Lui, Michael S. Hansen, Matthew P. Lungren
2020 J jnl
Advancing machine learning for MR image reconstruction with an open competition: Overview of the 2019 fastMRI challenge.
CoRR
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
2020 J jnl
CG-SENSE revisited: Results from the first ISMRM reproducibility challenge.
CoRR
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, Martin Uecker, Florian Knoll
2020 J jnl
Deep-Learning Methods for Parallel Magnetic Resonance Imaging Reconstruction: A Survey of the Current Approaches, Trends, and Issues.
IEEE Signal Process. Mag.
Florian Knoll, Kerstin Hammernik, Chi Zhang, Steen Moeller, Thomas Pock, Daniel K. Sodickson, Mehmet Akçakaya
2020 — conf
End-to-End Variational Networks for Accelerated MRI Reconstruction.
MICCAI (2)
Anuroop Sriram, Jure Zbontar, Tullie Murrell, Aaron Defazio, C. Lawrence Zitnick, Nafissa Yakubova, Florian Knoll, Patricia M. Johnson
2020 J jnl
End-to-End Variational Networks for Accelerated MRI Reconstruction.
CoRR
Anuroop Sriram, Jure Zbontar, Tullie Murrell, Aaron Defazio, C. Lawrence Zitnick, Nafissa Yakubova, Florian Knoll, Patricia M. Johnson
2020 J jnl
State-of-the-Art Machine Learning MRI Reconstruction in 2020: Results of the Second fastMRI Challenge.
CoRR
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, Zaccharie Ramzi, Philippe Ciuciu, Jean-Luc Starck, Jonas Teuwen, Dimitrios Karkalousos, Chaoping Zhang, Anuroop Sriram, Zhengnan Huang, Nafissa Yakubova, Yvonne W. Lui, Florian Knoll
2019 J jnl
Deep Learning Methods for Parallel Magnetic Resonance Image Reconstruction.
CoRR
Florian Knoll, Kerstin Hammernik, Chi Zhang, Steen Moeller, Thomas Pock, Daniel K. Sodickson, Mehmet Akçakaya
2019 — conf
Joint Multi-anatomy Training of a Variational Network for Reconstruction of Accelerated Magnetic Resonance Image Acquisitions.
MLMIR@MICCAI
Patricia M. Johnson, Matthew J. Muckley, Mary Bruno, Erich Kobler, Kerstin Hammernik, Thomas Pock, Florian Knoll
2019 — ed.
Machine Learning for Medical Image Reconstruction - Second International Workshop, MLMIR 2019, Held in Conjunction with MICCAI 2019, Shenzhen, China, October 17, 2019, Proceedings
MLMIR@MICCAI
Florian Knoll, Andreas Maier, Daniel Rueckert, Jong Chul Ye
2018 J jnl
Evaluation of Parallel Level Sets and Bowsher's Method as Segmentation-Free Anatomical Priors for Time-of-Flight PET Reconstruction.
IEEE Trans. Medical Imaging
Georg Schramm, Martin Holler, Ahmadreza Rezaei, Kathleen Vunckx, Florian Knoll, Kristian Bredies, Fernando E. Boada, Johan Nuyts
2018 — ed.
Machine Learning for Medical Image Reconstruction - First International Workshop, MLMIR 2018, Held in Conjunction with MICCAI 2018, Granada, Spain, September 16, 2018, Proceedings
MLMIR@MICCAI
Florian Knoll, Andreas K. Maier, Daniel Rueckert
2018 J jnl
Multicompartment Magnetic Resonance Fingerprinting.
CoRR
Sunli Tang, Carlos Fernandez-Granda, Sylvain Lannuzel, Brett Bernstein, Riccardo Lattanzi, Martijn A. Cloos, Florian Knoll, Jakob Assländer
2018 Misc conf
Variational Deep Learning for Low-Dose Computed Tomography.
ICASSP
Erich Kobler, Matthew J. Muckley, Baiyu Chen, Florian Knoll, Kerstin Hammernik, Thomas Pock, Daniel K. Sodickson, Ricardo Otazo
2018 J jnl
fastMRI: An Open Dataset and Benchmarks for Accelerated MRI.
CoRR
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, Adriana Romero, Michael G. Rabbat, Pascal Vincent, James Pinkerton, Duo Wang, Nafissa Yakubova, Erich Owens, C. Lawrence Zitnick, Michael P. Recht, Daniel K. Sodickson, Yvonne W. Lui
2017 J jnl
Joint MR-PET Reconstruction Using a Multi-Channel Image Regularizer.
IEEE Trans. Medical Imaging
Florian Knoll, Martin Holler, Thomas Kösters, Ricardo Otazo, Kristian Bredies, Daniel K. Sodickson
2017 J jnl
Learning a Variational Network for Reconstruction of Accelerated MRI Data.
CoRR
Kerstin Hammernik, Teresa Klatzer, Erich Kobler, Michael P. Recht, Daniel K. Sodickson, Thomas Pock, Florian Knoll
2015 — conf
Preconditioned ADMM with Nonlinear Operator Constraint.
System Modelling and Optimization
Martin Benning, Florian Knoll, Carola-Bibiane Schönlieb, Tuomo Valkonen
2015 — conf
The rapid imaging renaissance: sparser samples, denser dimensions, and glimmerings of a grand unified tomography.
Biomedical Applications in Molecular, Structural, and Functional Imaging
Daniel K. Sodickson, Li Feng, Florian Knoll, Martijn A. Cloos, Noam Ben-Eliezer, Leon Axel, Hersh Chandarana, Tobias Block, Ricardo Otazo
2014 J jnl
Fast T2 Mapping With Improved Accuracy Using Undersampled Spin-Echo MRI and Model-Based Reconstructions With a Generating Function.
IEEE Trans. Medical Imaging
Tilman J. Sumpf, Andreas Petrovic, Martin Uecker, Florian Knoll, Jens Frahm
2014 J jnl
Fast T2 Mapping with Improved Accuracy Using Undersampled Spin-echo MRI and Model-based Reconstructions with a Generating Function.
CoRR
Tilman J. Sumpf, Andreas Petrovic, Martin Uecker, Florian Knoll, Jens Frahm
2013 J jnl
The Agile Library for Biomedical Image Reconstruction Using GPU Acceleration.
Comput. Sci. Eng.
Manuel Freiberger, Florian Knoll, Kristian Bredies, Hermann Scharfetter, Rudolf Stollberger
2013 J jnl
Total Generalized Variation in Diffusion Tensor Imaging.
SIAM J. Imaging Sci.
Tuomo Valkonen, Kristian Bredies, Florian Knoll
2012 J jnl
An image space approach to Cartesian based parallel MR imaging with total variation regularization.
Medical Image Anal.
Stephen L. Keeling, Christian Clason, Michael Hintermüller, Florian Knoll, Antoine Laurain, Gregory von Winckel
2011 J jnl
A total variation based approach to correcting surface coil magnetic resonance images.
Appl. Math. Comput.
Stephen L. Keeling, Michael Hintermüller, Florian Knoll, Daniel Kraft, Antoine Laurain