Florian Knoll
Orcid: 0000-0001-5357-8656Affiliations:
- New York University School of Medicine, New York City, NY, USA
- Graz University of Technology, Austria (PhD)
According to our database1,
Florian Knoll
authored at least 31 papers
between 2011 and 2024.
Collaborative distances:
Collaborative distances:
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Bibliography
2024
Proceedings of the Bildverarbeitung für die Medizin 2024, 2024
Data Consistent Variational Networks for Zero-shot Self-supervised MR Reconstruction.
Proceedings of the Bildverarbeitung für die Medizin 2024, 2024
2023
IEEE Trans. Medical Imaging, December, 2023
Physics-Driven Deep Learning for Computational Magnetic Resonance Imaging: Combining physics and machine learning for improved medical imaging.
IEEE Signal Process. Mag., 2023
2022
IEEE Trans. Medical Imaging, 2022
Alternating Learning Approach for Variational Networks and Undersampling Pattern in Parallel MRI Applications.
IEEE Trans. Computational Imaging, 2022
CoRR, 2022
2021
IEEE Trans. Medical Imaging, 2021
fastMRI+: Clinical Pathology Annotations for Knee and Brain Fully Sampled Multi-Coil MRI Data.
CoRR, 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.
Proceedings of the Machine Learning for Medical Image Reconstruction, 2021
A Simulation Pipeline to Generate Realistic Breast Images for Learning DCE-MRI Reconstruction.
Proceedings of the Machine Learning for Medical Image Reconstruction, 2021
2020
Deep-Learning Methods for Parallel Magnetic Resonance Imaging Reconstruction: A Survey of the Current Approaches, Trends, and Issues.
IEEE Signal Process. Mag., 2020
State-of-the-Art Machine Learning MRI Reconstruction in 2020: Results of the Second fastMRI Challenge.
CoRR, 2020
CoRR, 2020
Advancing machine learning for MR image reconstruction with an open competition: Overview of the 2019 fastMRI challenge.
CoRR, 2020
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020
2019
CoRR, 2019
Joint Multi-anatomy Training of a Variational Network for Reconstruction of Accelerated Magnetic Resonance Image Acquisitions.
Proceedings of the Machine Learning for Medical Image Reconstruction, 2019
2018
Evaluation of Parallel Level Sets and Bowsher's Method as Segmentation-Free Anatomical Priors for Time-of-Flight PET Reconstruction.
IEEE Trans. Medical Imaging, 2018
Proceedings of the 2018 IEEE International Conference on Acoustics, 2018
2017
IEEE Trans. Medical Imaging, 2017
CoRR, 2017
2015
The rapid imaging renaissance: sparser samples, denser dimensions, and glimmerings of a grand unified tomography.
Proceedings of the Medical Imaging 2015: Biomedical Applications in Molecular, 2015
Proceedings of the System Modeling and Optimization - 27th IFIP TC 7 Conference, CSMO 2015, 2015
2014
Fast T2 Mapping With Improved Accuracy Using Undersampled Spin-Echo MRI and Model-Based Reconstructions With a Generating Function.
IEEE Trans. Medical Imaging, 2014
2013
Comput. Sci. Eng., 2013
2012
An image space approach to Cartesian based parallel MR imaging with total variation regularization.
Medical Image Anal., 2012
2011
A total variation based approach to correcting surface coil magnetic resonance images.
Appl. Math. Comput., 2011