Robust vertebra identification using simultaneous node and edge predicting Graph Neural Networks

1 code implementation • 27 Jul 2023 • Vincent Bürgin, Raphael Prevost, Marijn F. Stollenga

We introduce a simple pipeline that employs a standard prediction with a U-Net, followed by a single graph neural network to associate and classify vertebrae with full orientation.

Parallel Multi-Dimensional LSTM, With Application to Fast Biomedical Volumetric Image Segmentation

no code implementations • NeurIPS 2015 • Marijn F. Stollenga, Wonmin Byeon, Marcus Liwicki, Juergen Schmidhuber

In contrast, Multi-Dimensional Recurrent NNs (MD-RNNs) can perceive the entire spatio-temporal context of each pixel in a few sweeps through all pixels, especially when the RNN is a Long Short-Term Memory (LSTM).

Brain Image Segmentation Image Segmentation +1