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Found 3 papers, 2 papers with code
Indescribable Multi-modal Spatial Evaluator
IMSE creates an accurate multi-modal spatial evaluator to measure spatial differences between two images, and then optimizes registration by minimizing the error predicted of the evaluator.
A Long Short-term Memory Based Recurrent Neural Network for Interventional MRI Reconstruction
Here we proposed a convolutional long short-term memory (Conv-LSTM) based recurrent neural network (RNN), or ConvLR, to reconstruct interventional images with golden-angle radial sampling.
Breaking the Dilemma of Medical Image-to-image Translation
In order to break the dilemma of the existing modes, we propose a new unsupervised mode called RegGAN for medical image-to-image translation.
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