An Automatic Nuclei Image Segmentation Based on Multi-Scale Split-Attention U-Net. - Qing Xu 014; Wenting Duan (COMPAY@MICCAI, 2021)

DCSAU-Net: A Deeper and More Compact Split-Attention U-Net for Medical Image Segmentation. - Qing Xu 014; Wenting Duan; Na He (CoRR, 2022)

SPPNet: A Single-Point Prompt Network for Nuclei Image Segmentation. - Qing Xu 014; Wenwei Kuang; Zeyu Zhang; Xueyao Bao; Haoran Chen; Wenting Duan (MLMI@MICCAI (1), 2023)

DCSAU-Net: A deeper and more compact split-attention U-Net for medical image segmentation. - Qing Xu 014; Zhicheng Ma; Na He; Wenting Duan (Comput. Biol. Medicine, 2023)

Flaws can be Applause: Unleashing Potential of Segmenting Ambiguous Objects in SAM. - Chenxin Li; Yuzhi Huang; Wuyang Li; Hengyu Liu 007; Xinyu Liu 001; Qing Xu 014; Zhen Chen 013; Yue Huang 001; Yixuan Yuan (NeurIPS, 2024)

UN-SAM: Universal Prompt-Free Segmentation for Generalized Nuclei Images. - Zhen Chen 013; Qing Xu 014; Xinyu Liu 001; Yixuan Yuan (CoRR, 2024)

ESP-MedSAM: Efficient Self-Prompting SAM for Universal Domain-Generalized Medical Image Segmentation. - Qing Xu 014; Jiaxuan Li; Xiangjian He; Ziyu Liu; Zhen Chen 013; Wenting Duan; Chenxin Li; Maggie M. He; Fiseha B. Tesema; Wooi Ping Cheah; Yi Wang 037; Rong Qu; et al. (CoRR, 2024)

DualAttNet: Synergistic fusion of image-level and fine-grained disease attention for multi-label lesion detection in chest X-rays. - Qing Xu 014; Wenting Duan (Comput. Biol. Medicine, 2024)

Swin-VasMamba: A Topologically Constrained Model For 3D Vascular Segmentation. - Ziyu Liu; Jiaxuan Li; Xiangjian He; Qing Xu 014; Xin Chen; Shoujun Zhou (ICASSP, 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 014; Zhongshi Du; Zhaoming Zhong; Lina Tang (Comput. Medical Imaging Graph., 2025)

HFA-UNet: hybrid and full attention UNet for thyroid nodule segmentation. - Yue Li; Yuanhao Zou; Xiangjian He; Qing Xu 014; Ming Liu 021; Shengji Jin; Qian Zhang 018; Maggie M. He; Jian Zhang 002 (Knowl. Based Syst., 2025)

NuSegDG: Integration of heterogeneous space and Gaussian kernel for domain-generalized nuclei segmentation. - Zhenye Lou; Qing Xu 014; Zekun Jiang; Xiangjian He; Chenxin Li; Zhen Chen 013; Yi Wang 037; Maggie M. He; Wenting Duan (Knowl. Based Syst., 2025)

UN-SAM: Domain-adaptive self-prompt segmentation for universal nuclei images. - Zhen Chen 013; Qing Xu 014; Xinyu Liu 001; Yixuan Yuan (Medical Image Anal., 2025)

CFFormer: Cross CNN-Transformer Channel Attention and Spatial Feature Fusion for Improved Segmentation of Low Quality Medical Images. - Jiaxuan Li; Qing Xu 014; Xiangjian He; Ziyu Liu; Daokun Zhang; Ruili Wang; Rong Qu; Guoping Qiu (CoRR, 2025)

HRMedSeg: Unlocking High-resolution Medical Image segmentation via Memory-efficient Attention Modeling. - Qing Xu 014; Zhenye Lou; Chenxin Li; Xiangjian He; Rong Qu; Fiseha Berhanu Tesema; Yi Wang 037; Wenting Duan; Zhen Chen 013 (CoRR, 2025)

MambaVesselNet++: A Hybrid CNN-Mamba Architecture for Medical Image Segmentation. - Qing Xu 014; Yanming Chen; Yue Li; Ziyu Liu; Zhenye Lou; Yixuan Zhang; Xiangjian He (CoRR, 2025)

CFFormer: Cross CNN-Transformer channel attention and spatial feature fusion for improved segmentation of heterogeneous medical images. - Jiaxuan Li; Qing Xu 014; Xiangjian He; Ziyu Liu; Daokun Zhang; Ruili Wang; Rong Qu; Guoping Qiu (Expert Syst. Appl., 2026)