Fenghe Tang

Orcid: 0009-0009-6193-4855

According to our database1, Fenghe Tang authored at least 14 papers between 2023 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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Links

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Bibliography

2024
MambaMIM: Pre-training Mamba with State Space Token-interpolation.
CoRR, 2024

APPLE: Adversarial Privacy-aware Perturbations on Latent Embedding for Unfairness Mitigation.
CoRR, 2024

HySparK: Hybrid Sparse Masking for Large Scale Medical Image Pre-training.
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.
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.
Proceedings of the IEEE International Symposium on Biomedical Imaging, 2024

2023
A Novel Distant Domain Transfer Learning Framework for Thyroid Image Classification.
Neural Process. Lett., June, 2023

Inspecting Model Fairness in Ultrasound Segmentation Tasks.
CoRR, 2023

SRSNetwork: Siamese Reconstruction-Segmentation Networks based on Dynamic-Parameter Convolution.
CoRR, 2023

MobileUtr: Revisiting the relationship between light-weight CNN and Transformer for efficient medical image segmentation.
CoRR, 2023

Slide-SAM: Medical SAM Meets Sliding Window.
CoRR, 2023

CMUNeXt: An Efficient Medical Image Segmentation Network based on Large Kernel and Skip Fusion.
CoRR, 2023

Thinking Twice: Clinical-Inspired Thyroid Ultrasound Lesion Detection Based on Feature Feedback.
CoRR, 2023

Multi-Level Global Context Cross Consistency Model for Semi-Supervised Ultrasound Image Segmentation with Diffusion Model.
CoRR, 2023

CMU-NeT: A Strong Convmixer-Based Medical Ultrasound Image Segmentation Network.
Proceedings of the 20th IEEE International Symposium on Biomedical Imaging, 2023


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