Deep Learning

Spatio-Angular Convolutions for Super-resolution in Diffusion MRI
Diffusion MRI (dMRI) is a widely used imaging modality, but requires long scanning times to acquire high resolution datasets. By …
Matthew Lyon, Paul Armitage, Mauricio A. Álvarez
PDF Cite Code Project Poster DOI
Angular Super-Resolution in Diffusion MRI with a 3D Recurrent Convolutional Autoencoder
High resolution diffusion MRI (dMRI) data is often constrained by limited scanning time in clinical settings, thus restricting the use …
Matthew Lyon, Paul Armitage, Mauricio A. Álvarez
PDF Cite Code Project Poster DOI
3D Recurrent CNN
A 3D Recurrent convolutional neural network implementation. Built using Python, TensorFlow, and Keras.
GitHub
Parametric Continuous CNN
A parametric continuous convolutional neural network implementation to perform super-resolution with diffusion MRI data. Built using Python, PyTorch, and Lightning.
GitHub