Minghui Zhang

Princigram achieves a new standard in scientific diagram generation, ensuring physical accuracy through a structured reasoning framework that traditional models lack.

Achieving consistent voxel spacing can dramatically improve medical image segmentation quality, leading to better diagnostic and surgical outcomes.

Deep learning models can now classify complex nuclear reaction events with high accuracy, even correcting errors made by traditional methods.

The medical imaging AI community is being held back by a fragmented data landscape, but a new metadata-driven fusion paradigm offers a path to unlocking the power of foundation models.