LAPNet: Non-rigid Registration derived in k-space for Magnetic Resonance Imaging

Thomas Kustner, Jiazhen Pan, Haikun Qi, Gastao Cruz, Christopher Gilliam, Thierry Blu, Bin Yang, Sergios Gatidis, Rene Botnar, Claudia Prieto

Research output: Contribution to journalArticlepeer-review

20 Citations (Scopus)

Fingerprint

Dive into the research topics of 'LAPNet: Non-rigid Registration derived in k-space for Magnetic Resonance Imaging'. Together they form a unique fingerprint.

Computer Science

Medicine and Dentistry

Biochemistry, Genetics and Molecular Biology

Neuroscience