Florian Knoll

Orcid: 0000-0001-5357-8656

Affiliations:
  • 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 32 papers between 2011 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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Bibliography

2024
Accelerated MR Cholangiopancreatography with Deep Learning-based Reconstruction.
CoRR, 2024

Exploring GPT-4 as MR Sequence and Reconstruction Programming Assistant - GPT4MR.
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
Stable Deep MRI Reconstruction Using Generative Priors.
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
Bayesian Uncertainty Estimation of Learned Variational MRI Reconstruction.
IEEE Trans. Medical Imaging, 2022

Alternating Learning Approach for Variational Networks and Undersampling Pattern in Parallel MRI Applications.
IEEE Trans. Computational Imaging, 2022

Physics-Driven Deep Learning for Computational Magnetic Resonance Imaging.
CoRR, 2022

2021
Results of the 2020 fastMRI Challenge for Machine Learning MR Image Reconstruction.
IEEE Trans. Medical Imaging, 2021

fastMRI+: Clinical Pathology Annotations for Knee and Brain Fully Sampled Multi-Coil MRI Data.
CoRR, 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

CG-SENSE revisited: Results from the first ISMRM reproducibility challenge.
CoRR, 2020

Advancing machine learning for MR image reconstruction with an open competition: Overview of the 2019 fastMRI challenge.
CoRR, 2020

End-to-End Variational Networks for Accelerated MRI Reconstruction.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020

2019
Deep Learning Methods for Parallel Magnetic Resonance Image Reconstruction.
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

fastMRI: An Open Dataset and Benchmarks for Accelerated MRI.
CoRR, 2018

Multicompartment Magnetic Resonance Fingerprinting.
CoRR, 2018

Variational Deep Learning for Low-Dose Computed Tomography.
Proceedings of the 2018 IEEE International Conference on Acoustics, 2018

2017
Joint MR-PET Reconstruction Using a Multi-Channel Image Regularizer.
IEEE Trans. Medical Imaging, 2017

Learning a Variational Network for Reconstruction of Accelerated MRI Data.
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

Preconditioned ADMM with Nonlinear Operator Constraint.
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
Total Generalized Variation in Diffusion Tensor Imaging.
SIAM J. Imaging Sci., 2013

The Agile Library for Biomedical Image Reconstruction Using GPU Acceleration.
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


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