Dynamic contrast enhancement (DCE) MRI has been increasingly utilized in clinical practice. While machine learning (ML) applications are gaining momentum in MRI reconstruction, the dynamic nature of image acquisition for DCE-MRI limits ...
This book constitutes the refereed proceedings of the Second International Workshop on Machine Learning for Medical Reconstruction, MLMIR 2019, held in conjunction with MICCAI 2019, in Shenzhen, China, in October 2019.
This book constitutes the refereed proceedings of the Third International Workshop on Machine Learning for Medical Reconstruction, MLMIR 2020, held in conjunction with MICCAI 2020, in Lima, Peru, in October 2020.
This book constitutes the refereed proceedings of the First International Workshop on Machine Learning for Medical Reconstruction, MLMIR 2018, held in conjunction with MICCAI 2018, in Granada, Spain, in September 2018.
In: German Medical Data Sciences: Visions and Bridges (62. Jahrestagung der GMDS) 2017, Oldenburg, Germany, 17–21 September 2017, pp. 202–206 (2017) 3. Bishop, C.M.: Pattern Recognition and Machine Learning (Information Science and ...