Fenghe Tang - RankMe

40 papers A* 2A 1Journal 29Unranked 8

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Concept-to-Pixel: Prompt-Free Universal Medical Image Segmentation. CoRR Haoyun Chen, Fenghe Tang, Wenxin Ma, Shaohua Kevin Zhou
2026	J	`jnl`	Hi-End-MAE: Hierarchical encoder-driven masked autoencoders are stronger vision learners for medical image segmentation. Medical Image Anal. Fenghe Tang, Qingsong Yao, Wenxin Ma, Chenxu Wu, Zihang Jiang, S. Kevin Zhou
2026	J	`jnl`	UCAD: Uncertainty-guided Contour-aware Displacement for semi-supervised medical image segmentation. CoRR Chengbo Ding, Fenghe Tang, Shaohua Kevin Zhou
2025	A*	`conf`	AA-CLIP: Enhancing Zero-Shot Anomaly Detection via Anomaly-Aware CLIP. CVPR Wenxin Ma, Xu Zhang, Qingsong Yao, Fenghe Tang, Chenxu Wu, Yingtai Li, Rui Yan, Zihang Jiang, S. Kevin Zhou
2025	J	`jnl`	AA-CLIP: Enhancing Zero-shot Anomaly Detection via Anomaly-Aware CLIP. CoRR Wenxin Ma, Xu Zhang, Qingsong Yao, Fenghe Tang, Chenxu Wu, Yingtai Li, Rui Yan, Zihang Jiang, S. Kevin Zhou
2025	J	`jnl`	Equivariant Sampling for Improving Diffusion Model-based Image Restoration. CoRR Chenxu Wu, Qingpeng Kong, Peiang Zhao, Wendi Yang, Wenxin Ma, Fenghe Tang, Zihang Jiang, S. Kevin Zhou
2025	J	`jnl`	Fair ultrasound diagnosis via adversarial protected attribute aware perturbations on latent embeddings. npj Digit. Medicine Zikang Xu, Fenghe Tang, Quan Quan, Qingsong Yao, Qingpeng Kong, Jianrui Ding, Chunping Ning, S. Kevin Zhou
2025	J	`jnl`	Hi-End-MAE: Hierarchical encoder-driven masked autoencoders are stronger vision learners for medical image segmentation. CoRR Fenghe Tang, Qingsong Yao, Wenxin Ma, Chenxu Wu, Zihang Jiang, S. Kevin Zhou
2025	J	`jnl`	LGMSNet: Thinning a medical image segmentation model via dual-level multiscale fusion. CoRR Chengqi Dong, Fenghe Tang, Rongge Mao, Xinpei Gao, S. Kevin Zhou
2025	J	`jnl`	MambaMIM: Pre-training Mamba with state space token interpolation and its application to medical image segmentation. Medical Image Anal. Fenghe Tang, Bingkun Nian, Yingtai Li, Zihang Jiang, Jie Yang, Wei Liu, S. Kevin Zhou
2025	J	`jnl`	MedReason-R1: Learning to Reason for CT Diagnosis with Reinforcement Learning and Local Zoom. CoRR Yifan Li, Fenghe Tang, Yingtai Li, Shaohua Kevin Zhou
2025	A*	`conf`	Mobile U-ViT: Revisiting large kernel and U-shaped ViT for efficient medical image segmentation. ACM Multimedia Fenghe Tang, Bingkun Nian, Jianrui Ding, Wenxin Ma, Quan Quan, Chengqi Dong, Jie Yang, Wei Liu, S. Kevin Zhou
2025	J	`jnl`	Pre-Trained LLM is a Semantic-Aware and Generalizable Segmentation Booster. CoRR Fenghe Tang, Wenxin Ma, Zhiyang He, Xiaodong Tao, Zihang Jiang, S. Kevin Zhou
2025	—	`conf`	Pre-trained LLM is a Semantic-Aware and Generalizable Segmentation Booster. MICCAI (10) Fenghe Tang, Wenxin Ma, Zhiyang He, Xiaodong Tao, Zihang Jiang, Shaohua Kevin Zhou
2025	J	`jnl`	SRS: Siamese Reconstruction-Segmentation Network Based on Dynamic-Parameter Convolution. IEEE Trans. Image Process. Bingkun Nian, Fenghe Tang, Jianrui Ding, Jie Yang, Zhonglong Zheng, Shaohua Kevin Zhou, Wei Liu
2025	—	`conf`	SimCroP: Radiograph Representation Learning with Similarity-Driven Cross-Granularity Pre-training. MICCAI (5) Rongsheng Wang, Fenghe Tang, Qingsong Yao, Rui Yan, Xu Zhang, Zhen Huang, Haoran Lai, Zhiyang He, Xiaodong Tao, Zihang Jiang, S. Kevin Zhou
2025	J	`jnl`	SimCroP: Radiograph Representation Learning with Similarity-driven Cross-granularity Pre-training. CoRR Rongsheng Wang, Fenghe Tang, Qingsong Yao, Rui Yan, Xu Zhang, Zhen Huang, Haoran Lai, Zhiyang He, Xiaodong Tao, Zihang Jiang, Shaohua Kevin Zhou
2025	A	`conf`	Thinning a Medical Image Segmentation Model via Dual-Level Multiscale Fusion. ECAI Chengqi Dong, Fenghe Tang, Rongge Mao, Xinpei Gao, S. Kevin Zhou
2025	J	`jnl`	Training Multi-Image Vision Agents via End2End Reinforcement Learning. CoRR Chengqi Dong, Chuhuai Yue, Hang He, Rongge Mao, Fenghe Tang, S. Kevin Zhou, Zekun Xu, Xiaohan Wang, Jiajun Chai, Wei Lin, Guojun Yin
2025	J	`jnl`	U-Bench: A Comprehensive Understanding of U-Net through 100-Variant Benchmarking. CoRR Fenghe Tang, Chengqi Dong, Wenxin Ma, Zikang Xu, Heqin Zhu, Zihang Jiang, Rongsheng Wang, Yuhao Wang, Chenxu Wu, Shaohua Kevin Zhou
2025	—	`conf`	U-RWKV: Lightweight Medical Image Segmentation with Direction-Adaptive RWKV. MICCAI (11) Hongbo Ye, Fenghe Tang, Peiang Zhao, Zhen Huang, Dexin Zhao, Minghao Bian, Shaohua Kevin Zhou
2025	J	`jnl`	U-RWKV: Lightweight medical image segmentation with direction-adaptive RWKV. CoRR Hongbo Ye, Fenghe Tang, Peiang Zhao, Zhen Huang, Dexin Zhao, Minghao Bian, S. Kevin Zhou
2024	—	`conf`	3DGR-CAR: Coronary Artery Reconstruction from Ultra-sparse 2D X-Ray Views with a 3D Gaussians Representation. MICCAI (7) Xueming Fu, Yingtai Li, Fenghe Tang, Jun Li, Mingyue Zhao, Gao-Jun Teng, S. Kevin Zhou
2024	J	`jnl`	3DGR-CAR: Coronary artery reconstruction from ultra-sparse 2D X-ray views with a 3D Gaussians representation. CoRR Xueming Fu, Yingtai Li, Fenghe Tang, Jun Li, Mingyue Zhao, Gao-Jun Teng, S. Kevin Zhou
2024	J	`jnl`	APPLE: Adversarial Privacy-aware Perturbations on Latent Embedding for Unfairness Mitigation. CoRR Zikang Xu, Fenghe Tang, Quan Quan, Qingsong Yao, S. Kevin Zhou
2024	—	`conf`	CMUNEXT: An Efficient Medical Image Segmentation Network Based on Large Kernel and Skip Fusion. ISBI Fenghe Tang, Jianrui Ding, Quan Quan, Lingtao Wang, Chunping Ning, S. Kevin Zhou
2024	J	`jnl`	HySparK: Hybrid Sparse Masking for Large Scale Medical Image Pre-Training. CoRR Fenghe Tang, Ronghao Xu, Qingsong Yao, Xueming Fu, Quan Quan, Heqin Zhu, Zaiyi Liu, S. Kevin Zhou
2024	—	`conf`	HySparK: Hybrid Sparse Masking for Large Scale Medical Image Pre-training. MICCAI (11) Fenghe Tang, Ronghao Xu, Qingsong Yao, Xueming Fu, Quan Quan, Heqin Zhu, Zaiyi Liu, S. Kevin Zhou
2024	J	`jnl`	MambaMIM: Pre-training Mamba with State Space Token-interpolation. CoRR Fenghe Tang, Bingkun Nian, Yingtai Li, Jie Yang, Liu Wei, S. Kevin Zhou
2024	—	`conf`	Slide-SAM: Medical SAM Meets Sliding Window. MIDL Quan Quan, Fenghe Tang, Zikang Xu, Heqin Zhu, S. Kevin Zhou
2023	J	`jnl`	A Novel Distant Domain Transfer Learning Framework for Thyroid Image Classification. Neural Process. Lett. Fenghe Tang, Jianrui Ding, Lingtao Wang, Chunping Ning
2023	—	`conf`	CMU-NeT: A Strong Convmixer-Based Medical Ultrasound Image Segmentation Network. ISBI Fenghe Tang, Lingtao Wang, Chunping Ning, Min Xian, Jianrui Ding
2023	J	`jnl`	CMUNeXt: An Efficient Medical Image Segmentation Network based on Large Kernel and Skip Fusion. CoRR Fenghe Tang, Jianrui Ding, Lingtao Wang, Chunping Ning, S. Kevin Zhou
2023	J	`jnl`	Inspecting Model Fairness in Ultrasound Segmentation Tasks. CoRR Zikang Xu, Fenghe Tang, Quan Quan, Jianrui Ding, Chunping Ning, S. Kevin Zhou
2023	J	`jnl`	MobileUtr: Revisiting the relationship between light-weight CNN and Transformer for efficient medical image segmentation. CoRR Fenghe Tang, Bingkun Nian, Jianrui Ding, Quan Quan, Jie Yang, Wei Liu, S. Kevin Zhou
2023	J	`jnl`	Multi-Level Global Context Cross Consistency Model for Semi-Supervised Ultrasound Image Segmentation with Diffusion Model. CoRR Fenghe Tang, Jianrui Ding, Lingtao Wang, Min Xian, Chunping Ning
2023	J	`jnl`	SRSNetwork: Siamese Reconstruction-Segmentation Networks based on Dynamic-Parameter Convolution. CoRR Bingkun Nian, Fenghe Tang, Jianrui Ding, Pingping Zhang, Jie Yang, S. Kevin Zhou, Wei Liu
2023	J	`jnl`	Slide-SAM: Medical SAM Meets Sliding Window. CoRR Quan Quan, Fenghe Tang, Zikang Xu, Heqin Zhu, S. Kevin Zhou
2023	J	`jnl`	Thinking Twice: Clinical-Inspired Thyroid Ultrasound Lesion Detection Based on Feature Feedback. CoRR Lingtao Wang, Jianrui Ding, Fenghe Tang, Chunping Ning
2022	J	`jnl`	CMU-Net: A Strong ConvMixer-based Medical Ultrasound Image Segmentation Network. CoRR Fenghe Tang, Lingtao Wang, Chunping Ning, Min Xian, Jianrui Ding