Run Zhou Ye

This paper introduces MAYOCTransformer, a transformer-based model for OCT image segmentation, which outperforms CNN-based models in most tasks and shows non-inferiority to manual annotations.

This paper introduces a microfluidic device to generate hypoxic-core spheroids that mimic clinical hypoxia in cancer, showing increased resistance to therapy and invasiveness.

This paper develops an AR system for vitreoretinal surgery using CNNs and edge computing to align pre-op and intra-op images in real-time, achieving 14 FPS and high registration accuracy.

The paper updates DeepImageTranslator with a tool for multimodal medical image segmentation analysis, showing it produces accurate statistics comparable to manual ROI selection.

The paper introduces DeepImageTranslator, a graphical tool for image translation using deep learning, and demonstrates its effectiveness in CT image segmentation and noise reduction.