Florian Knöll
- fastMRI: An Open Dataset and Benchmarks for Accelerated MRI
2018/11/21 by Jure Žbontar, Zbontar, Jure, Florian Knöll +47 · 56 citations
Medicine · #Advanced MRI Techniques and Applications #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #FOS: Electrical engineering #FOS: Physical sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Medical Imaging Techniques and Applications #Medical Physics (physics.med-ph) #Radiomics and Machine Learning in Medical Imaging #Signal Processing (eess.SP) #electronic engineering #information engineering
- Learning a Variational Network for Reconstruction of Accelerated MRI\n Data
2017/04/03 by Kerstin Hammernik, Hammernik, Kerstin, Teresa Klatzer +11 · 27 citations
Engineering · Medicine · #Advanced MRI Techniques and Applications #Advanced X-ray and CT Imaging #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Medical Imaging Techniques and Applications
- Deep Learning Methods for Parallel Magnetic Resonance Image\n Reconstruction
2019/04/01 by Florian Knöll, Kerstin Hammernik, Knoll, Florian +11 · 13 citations
Medicine · Physics and Astronomy · #Advanced MRI Techniques and Applications #Atomic and Subatomic Physics Research #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #FOS: Electrical engineering #Image and Video Processing (eess.IV) #Machine Learning (cs.LG) #Medical Imaging Techniques and Applications #Signal Processing (eess.SP) #electronic engineering #information engineering
- Deep-Learning Methods for Parallel Magnetic Resonance Imaging Reconstruction: A Survey of the Current Approaches, Trends, and Issues
2020/01/01 by Florian Knöll, Florian Knoll, Kerstin Hammernik +6 · 15 citations
Medicine · Engineering · #Advanced MRI Techniques and Applications #Medical Imaging Techniques and Applications #Photoacoustic and Ultrasonic Imaging
- Physics-Driven Deep Learning for Computational Magnetic Resonance Imaging
2022/03/23 by Kerstin Hammernik, Thomas Küstner, Hammernik, Kerstin +11 · 10 citations
Medicine · #Advanced MRI Techniques and Applications #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #FOS: Electrical engineering #FOS: Physical sciences #Image and Video Processing (eess.IV) #Machine Learning (cs.LG) #Medical Imaging Techniques and Applications #Medical Physics (physics.med-ph) #Radiomics and Machine Learning in Medical Imaging #Signal Processing (eess.SP) #electronic engineering #information engineering
- Physics-Driven Deep Learning for Computational Magnetic Resonance Imaging: Combining physics and machine learning for improved medical imaging
2023/01/01 by Kerstin Hammernik, Thomas Kustner, Thomas Küstner +7 · 7 citations
Medicine · #Advanced MRI Techniques and Applications #Medical Imaging Techniques and Applications #Radiomics and Machine Learning in Medical Imaging
- fastMRI Breast: A publicly available radial k-space dataset of breast dynamic contrast-enhanced MRI
2024/06/07 by Eddy Solomon, Patricia M. Johnson, Solomon, Eddy +15 · 2 citations
Medicine · #Advanced MRI Techniques and Applications #Advanced Neuroimaging Techniques and Applications #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #FOS: Electrical engineering #FOS: Physical sciences #Image and Video Processing (eess.IV) #MRI in cancer diagnosis #Machine Learning (cs.LG) #Medical Physics (physics.med-ph) #electronic engineering #information engineering
- Alternating Learning Approach for Variational Networks and Undersampling Pattern in Parallel MRI Applications
2021/10/27 by Marcelo V. W. Zibetti, Zibetti, Marcelo V. W., Florian Knöll +3 · 1 citation
Medicine · #Advanced MRI Techniques and Applications #FOS: Computer and information sciences #FOS: Electrical engineering #Image and Video Processing (eess.IV) #Machine Learning (cs.LG) #Medical Imaging Techniques and Applications #Radiomics and Machine Learning in Medical Imaging #Signal Processing (eess.SP) #electronic engineering #information engineering