Kerstin Hammernik
Publications by Year
Research Areas
Advanced MRI Techniques and Applications, Medical Imaging Techniques and Applications, Cardiac Imaging and Diagnostics, Medical Image Segmentation Techniques, Radiomics and Machine Learning in Medical Imaging
Most-Cited Works
- → Learning a variational network for reconstruction of accelerated MRI data(2017)1,659 cited
- → Deep-Learning Methods for Parallel Magnetic Resonance Imaging Reconstruction: A Survey of the Current Approaches, Trends, and Issues(2020)373 cited
- → CINENet: deep learning-based 3D cardiac CINE MRI reconstruction with multi-coil complex-valued 4D spatio-temporal convolutions(2020)231 cited
- → Assessment of the generalization of learned image reconstruction and the potential for transfer learning(2018)219 cited
- → A multi-center milestone study of clinical vertebral CT segmentation(2016)135 cited
- → Variational Networks: Connecting Variational Methods and Deep Learning(2017)124 cited
- → Physics-Driven Deep Learning for Computational Magnetic Resonance Imaging: Combining physics and machine learning for improved medical imaging(2023)98 cited
- → Systematic evaluation of iterative deep neural networks for fast parallel MRI reconstruction with sensitivity‐weighted coil combination(2021)89 cited
- → Learning joint demosaicing and denoising based on sequential energy minimization(2016)88 cited
- → Deep Learning for Retrospective Motion Correction in MRI: A Comprehensive Review(2023)65 cited