My scholarly interests revolve around the fields of Artificial General Intelligence, Computer Vision, Medical Image Analysis, and Object Detection/Segmentation. Representative papers are highlighted.
GenDSA is pre-trained, fine-tuned and tested on ten million of images from 35 hospitals. The generated videos reach a comparable level to the full-sampled videos, both in terms of overall quality (4.905 vs 4.935) and lesion assessment (4.825 vs 4.860).
The first work that uses deep learning for DSA frame interpolation, comprehensively achieving SOTA in accuracy, speed, visual effect, and memory usage.