CMU-NeT: A Strong Convmixer-Based Medical Ultrasound Image Segmentation Network. - Fenghe Tang; Lingtao Wang; Chunping Ning; Min Xian; Jianrui Ding (ISBI, 2023)

Multi-Level Global Context Cross Consistency Model for Semi-Supervised Ultrasound Image Segmentation with Diffusion Model. - Fenghe Tang; Jianrui Ding; Lingtao Wang; Min Xian; Chunping Ning (CoRR, 2023)

Thinking Twice: Clinical-Inspired Thyroid Ultrasound Lesion Detection Based on Feature Feedback. - Lingtao Wang; Jianrui Ding; Fenghe Tang; Chunping Ning (CoRR, 2023)

CMUNeXt: An Efficient Medical Image Segmentation Network based on Large Kernel and Skip Fusion. - Fenghe Tang; Jianrui Ding; Lingtao Wang; Chunping Ning; S. Kevin Zhou (CoRR, 2023)

MobileUtr: Revisiting the relationship between light-weight CNN and Transformer for efficient medical image segmentation. - Fenghe Tang; Bingkun Nian; Jianrui Ding; Quan Quan; Jie Yang 002; Wei Liu 044; S. Kevin Zhou (CoRR, 2023)

SRSNetwork: Siamese Reconstruction-Segmentation Networks based on Dynamic-Parameter Convolution. - Bingkun Nian; Fenghe Tang; Jianrui Ding; Pingping Zhang; Jie Yang 002; S. Kevin Zhou; Wei Liu 044 (CoRR, 2023)

Inspecting Model Fairness in Ultrasound Segmentation Tasks. - Zikang Xu; Fenghe Tang; Quan Quan; Jianrui Ding; Chunping Ning; S. Kevin Zhou (CoRR, 2023)

A Novel Distant Domain Transfer Learning Framework for Thyroid Image Classification. - Fenghe Tang; Jianrui Ding; Lingtao Wang; Chunping Ning (Neural Process. Lett., 2023)

CMUNEXT: An Efficient Medical Image Segmentation Network Based on Large Kernel and Skip Fusion. - Fenghe Tang; Jianrui Ding; Quan Quan; Lingtao Wang; Chunping Ning; S. Kevin Zhou (ISBI, 2024)

3DGR-CAR: Coronary Artery Reconstruction from Ultra-sparse 2D X-Ray Views with a 3D Gaussians Representation. - Xueming Fu; Yingtai Li; Fenghe Tang; Jun Li 103; Mingyue Zhao; Gao-Jun Teng; S. Kevin Zhou (MICCAI (7), 2024)

HySparK: Hybrid Sparse Masking for Large Scale Medical Image Pre-training. - Fenghe Tang; Ronghao Xu; Qingsong Yao; Xueming Fu; Quan Quan; Heqin Zhu; Zaiyi Liu; S. Kevin Zhou (MICCAI (11), 2024)

Slide-SAM: Medical SAM Meets Sliding Window. - Quan Quan; Fenghe Tang; Zikang Xu; Heqin Zhu; S. Kevin Zhou (MIDL, 2024)

APPLE: Adversarial Privacy-aware Perturbations on Latent Embedding for Unfairness Mitigation. - Zikang Xu; Fenghe Tang; Quan Quan; Qingsong Yao; S. Kevin Zhou (CoRR, 2024)

MambaMIM: Pre-training Mamba with State Space Token-interpolation. - Fenghe Tang; Bingkun Nian; Yingtai Li; Jie Yang 002; Liu Wei; S. Kevin Zhou (CoRR, 2024)

AA-CLIP: Enhancing Zero-Shot Anomaly Detection via Anomaly-Aware CLIP. - Wenxin Ma; Xu Zhang; Qingsong Yao; Fenghe Tang; Chenxu Wu; Yingtai Li; Rui Yan 009; Zihang Jiang; S. Kevin Zhou (CVPR, 2025)

MambaMIM: Pre-training Mamba with state space token interpolation and its application to medical image segmentation. - Fenghe Tang; Bingkun Nian; Yingtai Li; Zihang Jiang; Jie Yang 002; Wei Liu 044; S. Kevin Zhou (Medical Image Anal., 2025)

Fair ultrasound diagnosis via adversarial protected attribute aware perturbations on latent embeddings. - Zikang Xu; Fenghe Tang; Quan Quan; Qingsong Yao; Qingpeng Kong; Jianrui Ding; Chunping Ning; S. Kevin Zhou (npj Digit. Medicine, 2025)

Hi-End-MAE: Hierarchical encoder-driven masked autoencoders are stronger vision learners for medical image segmentation. - Fenghe Tang; Qingsong Yao; Wenxin Ma; Chenxu Wu; Zihang Jiang; S. Kevin Zhou (CoRR, 2025)

Pre-Trained LLM is a Semantic-Aware and Generalizable Segmentation Booster. - Fenghe Tang; Wenxin Ma; Zhiyang He; Xiaodong Tao; Zihang Jiang; S. Kevin Zhou (CoRR, 2025)

U-RWKV: Lightweight medical image segmentation with direction-adaptive RWKV. - Hongbo Ye; Fenghe Tang; Peiang Zhao; Zhen Huang 007; Dexin Zhao; Minghao Bian; S. Kevin Zhou (CoRR, 2025)