HIGHLIGHTS
- who: Luca Canalini from the University of Pittsburgh, United States have published the research work: Quantitative evaluation of the influence of multiple MRI sequences and of pathological tissues on the registration of longitudinal data acquired during brain tumor treatment, in the Journal: (JOURNAL)
- what: The work proposed by Estienne et_al is based on a convolutional neural_network (CNN). This work investigates two different types of registration methods, an iterative solution and a CNN-based approach. The aim of the proposed image registration approaches is to generate a deformation y: u007f u2192 R3 that aligns the two . . .
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