Qing Xu

According to our database, Qing Xu authored at least 33 papers between 2021 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

Co-Seg++: Mutual Prompt-Guided Collaborative Learning for Versatile Medical Segmentation.

Qing Xu, Yuxiang Luo, Wenting Duan, Zhen Chen

IEEE Trans. Medical Imaging, May, 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

CoRR, May, 2026

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 Trans. Circuits Syst. Video Technol., March, 2026

RoLID-11K: A Dashcam Dataset for Small-Object Roadside Litter Detection.

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

CoRR, January, 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

Knowl. Based Syst., 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

Inf. Fusion, 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 Syst. Appl., 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

Appl. Soft Comput., 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

Proceedings of the 23rd IEEE International Symposium on Biomedical Imaging, 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

Proceedings of the 23rd IEEE International Symposium on Biomedical Imaging, 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

Proceedings of the 23rd IEEE International Symposium on Biomedical Imaging, 2026

2025

LapFM: A Laparoscopic Segmentation Foundation Model via Hierarchical Concept Evolving Pre-training.

Qing Xu, Kun Yuan, Yuxiang Luo, Yuhao Zhai, Wenting Duan, Nassir Navab, Zhen Chen

CoRR, December, 2025

SP-Det: Self-Prompted Dual-Text Fusion for Generalized Multi-Label Lesion Detection.

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

CoRR, December, 2025

UniUltra: Interactive Parameter-Efficient SAM2 for Universal Ultrasound Segmentation.

Yue Li, Qing Xu, Yixuan Zhang, Xiangjian He, Qian Zhang, Yuan Yao, Fiseha B. Tesem, Xin Chen, Ruili Wang, Zhen Chen, Chang Wen Chen

CoRR, November, 2025

CoMA: Complementary Masking and Hierarchical Dynamic Multi-Window Self-Attention in a Unified Pre-training Framework.

Jiaxuan Li, Qing Xu, Xiangjian He, Ziyu Liu, Chang Xing, Zhen Chen, Daokun Zhang, Rong Qu, Chang Wen Chen

CoRR, November, 2025

How Far Are Surgeons from Surgical World Models? A Pilot Study on Zero-shot 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

CoRR, November, 2025

MSM-Seg: A Modality-and-Slice Memory Framework with Category-Agnostic Prompting for Multi-Modal Brain Tumor Segmentation.

Yuxiang Luo, Qing Xu, Hai Huang, Yuqi Ouyang, Zhen Chen, Wenting Duan

CoRR, October, 2025

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

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

CoRR, July, 2025

HRMedSeg: Unlocking High-resolution Medical Image segmentation via Memory-efficient Attention Modeling.

Qing Xu, Zhenye Lou, Chenxin Li, Xiangjian He, Rong Qu, Fiseha Berhanu Tesema, Yi Wang, Wenting Duan, Zhen Chen

CoRR, April, 2025

CFFormer: Cross CNN-Transformer Channel Attention and Spatial Feature Fusion for Improved Segmentation of Low Quality Medical Images.

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

CoRR, January, 2025

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

Zhen Chen, Qing Xu, Xinyu Liu, Yixuan Yuan

Medical Image Anal., 2025

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

Knowl. Based Syst., 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

Knowl. Based Syst., 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

Comput. Medical Imaging Graph., 2025

Swin-VasMamba: A Topologically Constrained Model For 3D Vascular Segmentation.

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

Proceedings of the 2025 IEEE International Conference on Acoustics, 2025

2024

DualAttNet: Synergistic fusion of image-level and fine-grained disease attention for multi-label lesion detection in chest X-rays.

Qing Xu, Wenting Duan

Comput. Biol. Medicine, January, 2024

ESP-MedSAM: Efficient Self-Prompting SAM for Universal Domain-Generalized Medical Image Segmentation.

Qing Xu, Jiaxuan Li, Xiangjian He, Ziyu Liu, Zhen Chen, Wenting Duan, Chenxin Li, Maggie M. He, Fiseha B. Tesema, Wooi Ping Cheah, Yi Wang, Rong Qu, Jonathan M. Garibaldi

CoRR, 2024

UN-SAM: Universal Prompt-Free Segmentation for Generalized Nuclei Images.

Zhen Chen, Qing Xu, Xinyu Liu, Yixuan Yuan

CoRR, 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

Proceedings of the Advances in Neural Information Processing Systems 37: Annual Conference on Neural Information Processing Systems 2024, 2024

2023

DCSAU-Net: A deeper and more compact split-attention U-Net for medical image segmentation.

Qing Xu, Zhicheng Ma, Na He, Wenting Duan

Comput. Biol. Medicine, March, 2023

SPPNet: A Single-Point Prompt Network for Nuclei Image Segmentation.

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

Proceedings of the Machine Learning in Medical Imaging - 14th International Workshop, 2023

2022

DCSAU-Net: A Deeper and More Compact Split-Attention U-Net for Medical Image Segmentation.

Qing Xu, Wenting Duan, Na He

CoRR, 2022

2021

An Automatic Nuclei Image Segmentation Based on Multi-Scale Split-Attention U-Net.

Qing Xu, Wenting Duan

Proceedings of the MICCAI Workshop on Computational Pathology, 2021