Qing Xu | University of Nottingham

About Me

I’m a final-year Ph.D. Candidate in the School of Computer Science at University of Nottingham, supervised by Prof. Xiangjian He and Prof. Rong Qu. Prior to that, I worked as a research assistant at the Chinese University of Hong Kong, supervised by Prof. Zhen Chen and Prof. Yixuan Yuan. I received the M.S. degree from The University of Hong Kong in 2023, and the B.S. degree from the University of Lincoln in 2021.

Research Interests

Currently, my research interests primarily lie in Medical Image Analysis, Image Segmentation, and the application of Foundation Models in clinical diagnosis.

News

Sep. 2026 One paper was accepted by npj Digital Medicine.
Sep. 2026 One paper was accepted by TBME.
Aug. 2026 One paper was accepted by TMM.
Aug. 2026 One paper was accepted by BMVC 2026.
Jun. 2026 Two papers were accepted by MICCAI 2026.
Feb. 2026 We achieved 1st place in the ISBI 2026 Foundation Model Challenge for Ultrasound Image Analysis!
Jan. 2026 Three papers were accepted by ISBI 2026.
Dec. 2025 One paper was accepted by TMM.
Dec. 2025 One paper was accepted by TMI.
Nov. 2025 One paper was accepted by TCSVT.
Jul. 2025 One paper was accepted by TOMM.
Jun. 2025 One paper was accepted by MICCAI 2025.
May 2025 One paper was accepted by MedIA.

Publications

FreqDINO++: A Frequency-Guided Multi-Task Routing Vision Foundation Model for Universal Ultrasound Analysis

Qing Xu*, Yixuan Zhang*, Yue Li*, Xiangjian He, Qian Zhang, Mainul Haque, Rong Qu, Wenting Duan, Jieyun Bai, Zhen Chen

IEEE Transactions on Biomedical Engineering 2026
Quantifying the Plausibility Gap in Generative AI for Surgical Video Generation with Expert Assessment

Zhen Chen, Qing Xu, Jinlin Wu, Biao Yang, Yuhao Zhai, Geng Guo, Jing Zhang, Yinlu Ding, Nassir Navab, Jiebo Luo

npj Digital Medicine 2026
Synergistic Modality-and-Slice Memory Framework for Cross-Modal 3D Brain Tumor Segmentation

Yuxiang Luo*, Qing Xu*, Hai Huang, Yuqi Ouyang, Xiangjian He, Zhen Chen, Wenting Duan, Jiebo Luo

IEEE Transactions on Multimedia 2026
Cesarean Scar Defect Segmentation in Transvaginal Ultrasound Images: a Dataset and Benchmark

Yuan Tian, Yue Li, Wei Xia, Tianyu Xu, Jian Zhang, Liye Shi, Jing Liu, Yang Wang, Ming Liu, Qing Xu, Yixuan Zhang, Maggie M He, Xiangjian He

Scientific Data
MicroBT: Centroid-Guided Synergistic Learning for Multi-Modal Micro Brain Tumor Segmentation and Counting

Zhenye Lou*, Qing Xu*, Stefanie Thust, Dorothee P. Auer, Zhen Chen, Wenting Duan

The 37th British Machine Vision Conference (BMVC), 2026
Rethinking the Adaptation of Vision Foundation Models for Efficient Cell Segmentation

Qing Xu, Xiangjian He, Wenting Duan, Jiebo Luo, Zhen Chen

International Conference on Medical Image Computing and Computer Assisted Interventions (MICCAI), 2026

Code
RASP: Bridging the Long-Tail Gap in Surgical Video Understanding via Retrieval-Augmented Perception

Yuxiang Luo*, Qing Xu*, Yuqi Ouyang, Zhen Chen

International Conference on Medical Image Computing and Computer Assisted Interventions (MICCAI), 2026
SP-Det: Self-Prompted Dual-Text Fusion for Generalized Multi-Label Lesion Detection

Qing Xu, Yanqian Wang*, Xiangjian He, Yue Li, Yixuan Zhang, Rong Qu, Wenting Duan, Zhen Chen

Knowledge-Based Systems, 2026
UniUltra: Interactive Parameter-Efficient SAM2 for Universal Ultrasound Segmentation

Yue Li*, Qing Xu*, Yixuan Zhang, Xiangjian He, Qian Zhang, Yuan Yao, Fiseha B Tesema, Xin Chen, Ruili Wang, Zhen Chen, Changwen Chen

IEEE Transactions on Multimedia, 2026
FreqDINO: Frequency-Guided Adaptation for Generalized Boundary-Aware Ultrasound Image Segmentation

Yixuan Zhang*, Qing Xu*, Yue Li, Xiangjian He, Qian Zhang, Mainul Haque, Rong Qu, Wenting Duan, Zhen Chen

IEEE International Symposium on Biomedical Imaging (ISBI), 2026
TM-UNet: Token-Memory Enhanced Sequential Modeling for Efficient Medical Image Segmentation

Yaxuan Jiao*, Qing Xu*, Yuxiang Luo, Xiangjian He, Zhen Chen, Wenting Duan

IEEE International Symposium on Biomedical Imaging (ISBI), 2026
Towards Universal Ultrasound Analysis: Parameter-Efficient Foundation Model With Task-Aware Routing for Heterogeneous Multi-Task Learning

Yixuan Zhang*, Qing Xu*, Yue Li*, Xiangjian He, Zhen Chen.

IEEE International Symposium on Biomedical Imaging (ISBI), 2026
CFFormer: Cross CNN-Transformer channel attention and spatial feature fusion for improved segmentation of heterogeneous medical images

Jiaxuan Li*, Qing Xu*, Xiangjian He, Ziyu Liu, Daokun Zhang, Ruili Wang, Rong Qu, Guoping Qiu

Expert Systems with Applications, 2026
OMD: Optimal Transport-guided Multimodal Disentangled Learning for Leptomeningeal Metastasis Diagnosis

Shengjia Chen, Huihua Hu, Hongfu Zeng, Chenxin Li, Qing Xu, Longfeng Zhang, Haipeng Xu

Information Fusion, 2026
Synergistic hierarchical and graph attention networks for robust leptomeningeal metastasis detection in brain MRI

Haipeng Xu, Jing Sun, Qian Miao, Yaping Hong, Qing Xu, Chenxin Li, Huihua Hu, Gen Lin, Yunjian Huang

Applied Soft Computing (ASOC), 2026
RoLID-11K: A Dashcam Dataset for Small-Object Roadside Litter Detection

Tao Wu*, Qing Xu*, Xiangjian He, Oakleigh Weekes, James Brown, Wenting Duan

IEEE/CVF Winter Conference on Applications of Computer Vision (WACV) Workshops, 2026
Co-Seg++: Mutual Prompt-Guided Collaborative Learning for Versatile Medical Segmentation

Qing Xu, Yuxiang Luo, Wenting Duan, Zhen Chen

IEEE Transactions on Medical Imaging, 2025

Code Project Page
De-LightSAM: Modality-Decoupled Lightweight SAM for Generalizable Medical Segmentation

Qing Xu*, Jiaxuan Li*, Xiangjian He, Chenxin Li, Fiseha Berhanu Tesema, Wenting Duan, Zhen Chen, Rong Qu, Jonathan M. Garibaldi, Chang Wen Chen

IEEE Transactions on Circuits and Systems for Video Technology, 2025

Code
MambaVesselNet++: A Hybrid CNN-Mamba Architecture for Medical Image Segmentation

Qing Xu, Yanming Chen, Yue Li, Ziyu Liu, Zhenye Lou, Yixuan Zhang, Huizhong Zheng, Xiangjian He

ACM Transactions on Multimedia Computing, Communications, and Applications, 2025

Code
Co-Seg: Mutual Prompt-Guided Collaborative Learning for Tissue and Nuclei Segmentation

Qing Xu, Wenting Duan, Zhen Chen

International Conference on Medical Image Computing and Computer Assisted Interventions (MICCAI), 2025

Code
UN-SAM: Domain-adaptive self-prompt segmentation for universal nuclei images

Zhen Chen*, Qing Xu*, Xinyu Liu, Yixuan Yuan

Medical Image Analysis, 2025

Code
NuSegDG: Integration of heterogeneous space and gaussian kernel for domain-generalized nuclei segmentation

Zhenye Lou*, Qing Xu*, Zekun Jiang, Xiangjian He, Chenxin Li, Zhen Chen, Yi Wang, Maggie M He, Wenting Duan

Knowledge-Based Systems, 2025
Automated microvascular invasion prediction of hepatocellular carcinoma via deep relation reasoning from dynamic contrast-enhanced ultrasound

Yaoqin Wang, Wenting Xie, Chenxin Li, Qing Xu, Zhongshi Du, Zhaoming Zhong, Lina Tang

Computerized Medical Imaging and Graphics, 2025
HFA-UNet: Hybrid and full attention UNet for thyroid nodule segmentation

Yue Li, Yuanhao Zou, Xiangjian He, Qing Xu, Ming Liu, Shengji Jin, Qian Zhang, Maggie M He, Jian Zhang

Knowledge-Based Systems, 2025
Swin-VasMamba: A Topologically Constrained Model For 3D Vascular Segmentation

Ziyu Liu, Jiaxuan Li, Xiangjian He, Qing Xu, Xin Chen, Shoujun Zhou

IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2025
DualAttNet: Synergistic fusion of image-level and fine-grained disease attention for multi-label lesion detection in chest X-rays

Qing Xu, Wenting Duan

Computers in Biology and Medicine, 2024
Flaws can be applause: Unleashing potential of segmenting ambiguous objects in SAM

Chenxin Li, Yuzhi Huang, Wuyang Li, Hengyu Liu, Xinyu Liu, Qing Xu, Zhen Chen, Yue Huang, Yixuan Yuan

Advances in Neural Information Processing Systems (NeurIPS), 2024
Med-FastSAM: Improving Transfer Efficiency of SAM to Domain-Generalised Medical Image Segmentation

Yuxiang Luo*, Qing Xu*, Jinglei Feng, Guangwu Qian, Wenting Duan

Advances in Neural Information Processing Systems (NeurIPS) Workshop, 2024
DCSAU-Net: A deeper and more compact split-attention U-Net for medical image segmentation

Qing Xu, Zhicheng Ma, Wenting Duan.

Computers in Biology and Medicine (ESI Highly Cited Paper, Top 1%)
Sppnet: A single-point prompt network for nuclei image segmentation

Qing Xu, Wenwei Kuang, Zeyu Zhang, Xueyao Bao, Haoran Chen, Wenting Duan

International Conference on Medical Image Computing and Computer Assisted Interventions (NeurIPS) Workshop, 2023
An automatic nuclei image segmentation based on multi-scale split-attention U-Net

Qing Xu, Wenting Duan

International Conference on Medical Image Computing and Computer Assisted Interventions (MICCAI) Workshop, 2021

Services

Journal Reviewer:

IEEE Transactions on Medical Imaging (TMI), IEEE Transactions on Multimedia (TMM), IEEE Journal of Biomedical and Health Informatics (JBHI), IEEE Transactions on Circuits and Systems for Video Technology (TCSVT), ACM Transactions on Multimedia Computing, Communications, and Applications (TOMM), ACM Transactions on Computing for Healthcare, NPJ Heritage Science, Pattern Recognition (PR), Applied Soft Computing, Engineering Applications of Artificial Intelligence (EAAI), Neurocomputing, Computer Vision and Image Understanding, Image and Vision Computing

Conference Reviewer / PC Member:

CVPR, ECCV, ICCV, AAAI, MICCAI, ISBI, BMVC, ACCV

Patents & Software Copyrights

A System for Medical Image Segmentation, 2024109485302
A Method, System, and Device for Medical Image Segmentation, 2025107656170
Fast and Flexible Interactive Medical Image Segmentation System, 2025SR2477206

Awards

Competitions:

🏆 1st Place in the ISBI 2026 FMC_UIA, *Team Leader.