DiMo3d is a python package (with underlying matlab functions and c++ libraries) that can be used to compute DM graph reconstructions for 3D imaging data. There are functions for dividing an image ...

Abstract: With the rapid development of deep neural networks, cross-modal hashing has made great progress. However, the information of different types of data is asymmetrical, that is to say, if the ...

Data corresponding to the paper "Parametric generation of optimal structures through discrete exponential functions: unveiling connections between structural optimality and discrete isothermicity" ...

Our study uses Graph Neural Networks (GNNs) to enhance discrete-time survival predictions (GNN-surv) by leveraging relationships in these networks. We build these networks using cancer patients' ...