We developed a novel SSL approach to capture global consistency and
pixe...
Recently, Winter and Hahn [1] commented on our work on identifying subty...
Unveiling the underlying control principles of complex networks is one o...
Heterogeneous graph neural network (HGNN) is a very popular technique fo...
In radiotherapy planning, manual contouring is labor-intensive and
time-...
Deep neural networks have been a prevailing technique in the field of me...
Community detection, a fundamental task for network analysis, aims to
pa...
Automated segmentation of organs-at-risk in pelvic computed tomography (...
Purpose: The research is to develop a novel CNN-based adversarial deep
l...
Planning as satisfiability is a principal approach to planning with many...
The Hamiltonian cycle problem (HCP) is an important combinatorial proble...
In the real world, insufficient information, limited computation resourc...