Fenghe Tang

According to our database, Fenghe Tang authored at least 25 papers between 2023 and 2026.

Collaborative distances:

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

2026

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

Medical Image Anal., 2026

2025

MedReason-R1: Learning to Reason for CT Diagnosis with Reinforcement Learning and Local Zoom.

Yifan Li, Fenghe Tang, Yingtai Li, Shaohua Kevin Zhou

CoRR, October, 2025

U-Bench: A Comprehensive Understanding of U-Net through 100-Variant Benchmarking.

Fenghe Tang, Chengqi Dong, Wenxin Ma, Zikang Xu, Heqin Zhu, Zihang Jiang, Rongsheng Wang, Yuhao Wang, Chenxu Wu, Shaohua Kevin Zhou

CoRR, October, 2025

LGMSNet: Thinning a medical image segmentation model via dual-level multiscale fusion.

Chengqi Dong, Fenghe Tang, Rongge Mao, Xinpei Gao, S. Kevin Zhou

CoRR, August, 2025

SRS: Siamese Reconstruction-Segmentation Network Based on Dynamic-Parameter Convolution.

Bingkun Nian, Fenghe Tang, Jianrui Ding, Jie Yang, Zhonglong Zheng, Shaohua Kevin Zhou, Wei Liu

IEEE Trans. Image Process., 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

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, Wei Liu, S. Kevin Zhou

Medical Image Anal., 2025

U-RWKV: Lightweight Medical Image Segmentation with Direction-Adaptive RWKV.

Hongbo Ye, Fenghe Tang, Peiang Zhao, Zhen Huang, Dexin Zhao, Minghao Bian, Shaohua Kevin Zhou

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2025, 2025

SimCroP: Radiograph Representation Learning with Similarity-Driven Cross-Granularity Pre-training.

Rongsheng Wang, Fenghe Tang, Qingsong Yao, Rui Yan, Xu Zhang, Zhen Huang, Haoran Lai, Zhiyang He, Xiaodong Tao, Zihang Jiang, S. Kevin Zhou

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2025, 2025

Pre-trained LLM is a Semantic-Aware and Generalizable Segmentation Booster.

Fenghe Tang, Wenxin Ma, Zhiyang He, Xiaodong Tao, Zihang Jiang, Shaohua Kevin Zhou

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2025, 2025

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, Zihang Jiang, S. Kevin Zhou

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2025

2024

MambaMIM: Pre-training Mamba with State Space Token-interpolation.

Fenghe Tang, Bingkun Nian, Yingtai Li, Jie Yang, Liu Wei, S. Kevin Zhou

CoRR, 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

Slide-SAM: Medical SAM Meets Sliding Window.

Quan Quan, Fenghe Tang, Zikang Xu, Heqin Zhu, S. Kevin Zhou

Proceedings of the Medical Imaging with Deep Learning, 3-5 July 2024, Paris, France., 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

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2024, 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, Mingyue Zhao, Gao-Jun Teng, S. Kevin Zhou

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2024, 2024

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

Proceedings of the IEEE International Symposium on Biomedical Imaging, 2024

2023

A Novel Distant Domain Transfer Learning Framework for Thyroid Image Classification.

Fenghe Tang, Jianrui Ding, Lingtao Wang, Chunping Ning

Neural Process. Lett., June, 2023

Inspecting Model Fairness in Ultrasound Segmentation Tasks.

Zikang Xu, Fenghe Tang, Quan Quan, Jianrui Ding, Chunping Ning, 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, S. Kevin Zhou, Wei Liu

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, Wei Liu, S. Kevin Zhou

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

Thinking Twice: Clinical-Inspired Thyroid Ultrasound Lesion Detection Based on Feature Feedback.

Lingtao Wang, Jianrui Ding, Fenghe Tang, Chunping Ning

CoRR, 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

CMU-NeT: A Strong Convmixer-Based Medical Ultrasound Image Segmentation Network.

Fenghe Tang, Lingtao Wang, Chunping Ning, Min Xian, Jianrui Ding

Proceedings of the 20th IEEE International Symposium on Biomedical Imaging, 2023