divelab/completion

Logo by Zhao Xu

The Data Integration, Visualization, and Exploration (DIVE) Laboratory at Texas A&M University is led by Dr. Shuiwang Ji and conducts foundational research in machine learning and deep learning and applies machine learning methods to solve challenging real-world problems in biology, chemistry, neuroscience and medicine.

Highlighted Work

• DIG: A Turnkey Library for Diving into Graph Deep Learning Research
• MoleculeX: Advanced Graph and Sequence Neural Networks for Molecular Property Prediction and Drug Discovery
• GOOD: A graph out-of-distribution benchmark

completion's Issues

Why paired data to discriminator?

Hi,

This is a question about your method and not an issue with the code.

You are providing both MRI and PET to the discriminator. Why not provide just the real PET and the generated PET to the discriminator? What is the reason for appending them with the MRI image?

Thanks,
VR