AI Toolkit for Healthcare Imaging

ConvLSTM/ConvGRU (Encoder-Decoder) with PyTorch on Moving-MNIST

Inverse Compositional Spatial Transformer Networks 🎭 (CVPR 2017 oral)

This repository is a PyTorch version of the paper "Multi-scale Residual Network for Image Super-Resolution" (ECCV 2018).

Patient-specific reconstruction of volumetric computed tomography images from few-view projections via deep learning

programming assignments for cal tech machine learning class

Pytorch reimplementation of Spatial Transformer Networks and Inverse Compositional STN

Generate numerical phantoms.

PyTorch implementation of Spatial Transformer Network (STN) with Thin Plate Spline (TPS)