Lukas Mauch

10 papers and 142 indexed citations i.

Lukas Mauch has authored 10 papers that have received a total of 142 indexed citations. This includes 6 papers in Computer Vision and Pattern Recognition, 4 papers in Artificial Intelligence and 3 papers in Radiology, Nuclear Medicine and Imaging. The topics of these papers are Advanced Neural Network Applications (4 papers), Domain Adaptation and Few-Shot Learning (2 papers) and Radiomics and Machine Learning in Medical Imaging (2 papers). Lukas Mauch is often cited by papers focused on Advanced Neural Network Applications (4 papers), Domain Adaptation and Few-Shot Learning (2 papers) and Radiomics and Machine Learning in Medical Imaging (2 papers) and collaborates with scholars based in Germany, France and United Kingdom. Lukas Mauch's co-authors include Bin Yang, Akira Nakamura, Stefan Uhlich, Thomas Kemp and Fabien Cardinaux and has published in prestigious journals such as Journal of the Franklin Institute, IEEE Journal of Selected Topics in Signal Processing and Magnetic Resonance Materials in Physics Biology and Medicine