Fenghe Tang

According to our database, Fenghe Tang authored at least 10 papers between 2023 and 2024.

Collaborative distances:

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

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

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

Slide-SAM: Medical SAM Meets Sliding Window.

Quan Quan, Fenghe Tang, Zikang Xu, Heqin Zhu, 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