Ruize Cui | The Hong Kong Polytechnic University

About Me

I am a Ph.D. student at The Hong Kong Polytechnic University, under the supervision of Prof. Jing Qin. My research interests lie in surgical scene understanding and medical AI, especially intelligent visual perception and analysis for computer-assisted intervention.

Research Interests

Laparoscopic Liver Landmark Detection: robust anatomical landmark detection in minimally invasive surgical scenes.
Preoperative-to-Intraoperative Liver Registration: aligning preoperative imaging with intraoperative observations for surgical navigation.
Medical Image Segmentation: learning-based segmentation methods for medical image analysis and surgical applications.

News

[Mar. 2026] Our paper “Depth-Induced Prompt Learning for Laparoscopic Liver Landmark Detection” was published in Medical Image Analysis.
[Sept. 2025] Our paper “Taming Large Vision Model for Medical Image Segmentation via Dual Visual Prompt Tuning” was published in Computerized Medical Imaging and Graphics.
[Sept. 2025] Our paper “Topology-Constrained Learning for Efficient Laparoscopic Liver Landmark Detection” was accepted to MICCAI 2025.
[Oct. 2024] Our paper “Depth-Driven Geometric Prompt Learning for Laparoscopic Liver Landmark Detection” was accepted to MICCAI 2024 as an oral presentation and best paper finalist.

Publications

MedIA

Depth-Induced Prompt Learning for Laparoscopic Liver Landmark Detection

Ruize Cui, Weixin Si, Zhixi Li, Kai Wang, Jialun Pei*, Pheng-Ann Heng, Jing Qin

Medical Image Analysis (MedIA), 2026.

Official Code

arXiv

Preoperative-to-intraoperative Liver Registration for Laparoscopic Surgery via Latent-Grounded Correspondence Constraints

Ruize Cui, Jialun Pei, Haiqiao Wang, Jun Zhou, Jeremy Yuen-Chun Teoh, Pheng-Ann Heng, Jing Qin

arXiv preprint, 2026.

arXiv Code

CMIG

Taming Large Vision Model for Medical Image Segmentation via Dual Visual Prompt Tuning

Ruize Cui, Lanqing Liu, Jing Zou, Xiaowei Hu, Jialun Pei, Jing Qin

Computerized Medical Imaging and Graphics (CMIG), 2025.

Official

MICCAI

Topology-Constrained Learning for Efficient Laparoscopic Liver Landmark Detection

Ruize Cui, Jiaan Zhang, Jialun Pei*, Kai Wang, Pheng-Ann Heng, Jing Qin

The 28th International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI2025), 2025.

arXiv Official Code

MICCAI

Depth-Driven Geometric Prompt Learning for Laparoscopic Liver Landmark Detection

Jialun Pei*, Ruize Cui*, Yaoqian Li*, Weixin Si**, Jing Qin, Pheng-Ann Heng (*Equal contributions, **Corresponding author)

The 27th International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI2024), 2024.

arXiv Official Code Oral, Best paper finalist