Qing Xu

Orcid: 0000-0001-6898-0269

Affiliations:
  • University of Lincoln, School of Computer Science, Lincolnshire, UK


According to our database1, Qing Xu authored at least 17 papers between 2021 and 2026.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

Online presence:

On csauthors.net:

Bibliography

2026
CFFormer: Cross CNN-Transformer channel attention and spatial feature fusion for improved segmentation of heterogeneous medical images.
Expert Syst. Appl., 2026

2025
MambaVesselNet++: A Hybrid CNN-Mamba Architecture for Medical Image Segmentation.
CoRR, July, 2025

HRMedSeg: Unlocking High-resolution Medical Image segmentation via Memory-efficient Attention Modeling.
CoRR, April, 2025

CFFormer: Cross CNN-Transformer Channel Attention and Spatial Feature Fusion for Improved Segmentation of Low Quality Medical Images.
CoRR, January, 2025

UN-SAM: Domain-adaptive self-prompt segmentation for universal nuclei images.
Medical Image Anal., 2025

NuSegDG: Integration of heterogeneous space and Gaussian kernel for domain-generalized nuclei segmentation.
Knowl. Based Syst., 2025

HFA-UNet: hybrid and full attention UNet for thyroid nodule segmentation.
Knowl. Based Syst., 2025

Automated microvascular invasion prediction of hepatocellular carcinoma via deep relation reasoning from dynamic contrast-enhanced ultrasound.
Comput. Medical Imaging Graph., 2025

Swin-VasMamba: A Topologically Constrained Model For 3D Vascular Segmentation.
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.
Comput. Biol. Medicine, January, 2024

ESP-MedSAM: Efficient Self-Prompting SAM for Universal Domain-Generalized Medical Image Segmentation.
CoRR, 2024

UN-SAM: Universal Prompt-Free Segmentation for Generalized Nuclei Images.
CoRR, 2024

Flaws can be Applause: Unleashing Potential of Segmenting Ambiguous Objects in SAM.
Proceedings of the Advances in Neural Information Processing Systems 38: 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.
Comput. Biol. Medicine, March, 2023

SPPNet: A Single-Point Prompt Network for Nuclei Image Segmentation.
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.
CoRR, 2022

2021
An Automatic Nuclei Image Segmentation Based on Multi-Scale Split-Attention U-Net.
Proceedings of the MICCAI Workshop on Computational Pathology, 2021


  Loading...