Welcome to the UltraVision+ Lab

Welcome to UltraVision+ Lab at the Department of Computer Science of Hong Kong Baptist University (HKBU). We are a dynamic research group dedicated to advancing medical imaging through the integration of ultrasound with a broad range of modal data, including video, image, audio, text reports, probe motion, and other inputs. The name “UltraVision+” signifies our commitment to not only enhancing visual ultrasound imaging with advanced computer vision but also leveraging additional data streams to provide a comprehensive and enriched diagnostic experience. Our goal is to develop cutting-edge tools and algorithms that improve diagnostic accuracy, streamline procedures, and guide sonographers with real-time insights from diverse data sources. At UltraVision+, we are at the forefront of innovation, driving the future of medical imaging by integrating and interpreting multiple modalities to enhance both the precision and accessibility of ultrasound technology (see Research).

Research Area

  • Multimodal learning including video, image, audio, text, etc.

  • Human-machine interaction or collaboration to simplify sonography.

  • 2D, video and 3D ultrasound data understanding.

  • Data-centric AI to handle imperfect data problems in real-word deployment.

News

Sep 2026

Our paper UltraVoxelGS has been accepted to NeurIPS 2026. Congratulations to Yue Wang!

Sep 2026

Xiaoqing was invited to be Senior Program Committee of AAAI 2027 and Area Chair for ICLR 2026 and CVPR 2026.

May 2026

We will host the second MICCAI Workshop on Human-AI Collaboration (HAIC 2026).

Jan 2026

We will host the first CV4Clinical workshop in CVPR 2026.

Nov 2025

One paper accepted by npj Digital Medicine.

Sep 2025

Our paper IterMask3D won The MICCAI MedIA Best Paper Award!

Aug 2025

Xiaoqing was invited to be the Area Chair for ICLR 2026.

... see all News