We’re proud to announce that Yu Xin, a student researcher in the MIRTHAI Lab, has been awarded the Meritorious Winner Award at the 2025 Conference on Computer Vision and Pattern Recognition (CVPR). Yu received this honor for his outstanding performance in the Foundation Models for Interactive 3D Biomedical Image Segmentation Grand Challenge.
The challenge, hosted on Codabench, focused on developing advanced AI systems that support interactive segmentation of 3D biomedical images, such as CT or MRI scans. Rather than fully automated outputs, the competition emphasized user-in-the-loop systems—models that respond to expert input like bounding boxes or scribbles to iteratively improve segmentation accuracy. These systems are designed to enhance the efficiency and precision of clinical workflows by combining the strengths of human expertise and AI.
Yu’s project was conducted under the guidance of Dr. Gorkem Can Ates, a postdoctoral researcher in the lab, whose mentorship was instrumental in refining the approach and ensuring technical excellence throughout the competition.
This recognition highlights the MIRTHAI Lab’s commitment to cutting-edge research at the intersection of medical imaging and AI, and we extend our warmest congratulations to Yu and Dr. Ates for this well-deserved achievement.