An Efficient Deep Neural Network to Classify Large 3D Images With Small Objects.

BetaExplainer: A Probabilistic Method to Explain Graph Neural Networks.

Integrating Long-Range Regulatory Interactions to Predict Gene Expression Using Graph Convolutional Networks.

3D-GMIC: an efficient deep neural network to find small objects in large 3D images.

Lessons from the first DBTex Challenge.