46 citations · 46 across the 1 of their papers we have counts for
5 papers
LAPNet: Non-rigid Registration derived in k-space for Magnetic Resonance Imaging
Thomas Küstner, Jiazhen Pan, Haikun Qi +7
Physiological motion, such as cardiac and respiratory motion, during Magnetic Resonance (MR) image acquisition can cause image artifacts. Motion correction techniques have been pro…
Complementary Time-Frequency Domain Networks for Dynamic Parallel MR Image Reconstruction
Chen Qin, Jinming Duan, Kerstin Hammernik +7
Purpose: To introduce a novel deep learning based approach for fast and high-quality dynamic multi-coil MR reconstruction by learning a complementary time-frequency domain network…
Retrospective correction of Rigid and Non-Rigid MR motion artifacts using GANs
Karim Armanious, Sergios Gatidis, Konstantin Nikolaou +2
Motion artifacts are a primary source of magnetic resonance (MR) image quality deterioration with strong repercussions on diagnostic performance. Currently, MR motion correction is…
A Machine-learning framework for automatic reference-free quality assessment in MRI
Thomas Küstner, Sergios Gatidis, Annika Liebgott +9
Magnetic resonance (MR) imaging offers a wide variety of imaging techniques. A large amount of data is created per examination which needs to be checked for sufficient quality in o…
MedGAN: Medical Image Translation using GANs
Karim Armanious, Chenming Jiang, Marc Fischer +4
Image-to-image translation is considered a new frontier in the field of medical image analysis, with numerous potential applications. However, a large portion of recent approaches…