Pinxian Zeng

Orcid: 0000-0001-7286-974X

According to our database1, Pinxian Zeng authored at least 14 papers between 2022 and 2024.

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

Timeline

Legend:

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PhD thesis 
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Links

On csauthors.net:

Bibliography

2024
DANE: A Dual-Level Alignment Network With Ensemble Learning for Multisource Domain Adaptation.
IEEE Trans. Instrum. Meas., 2024

Semantic-Aware Adaptive Prompt Learning for Universal Multi-Source Domain Adaptation.
IEEE Signal Process. Lett., 2024

BTMuda: A Bi-level Multi-source unsupervised domain adaptation framework for breast cancer diagnosis.
CoRR, 2024

S3PET: Semi-supervised Standard-dose PET Image Reconstruction via Dose-aware Token Swap.
CoRR, 2024

ABP: Asymmetric Bilateral Prompting for Text-Guided Medical Image Segmentation.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2024, 2024

MuGI: Multi-Granularity Interactions of Heterogeneous Biomedical Data for Survival Prediction.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2024, 2024

Textmatch: Using Text Prompts to Improve Semi-supervised Medical Image Segmentation.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2024, 2024

Common Vision-Language Attention for Text-Guided Medical Image Segmentation of Pneumonia.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2024, 2024

MCAD: Multi-modal Conditioned Adversarial Diffusion Model for High-Quality PET Image Reconstruction.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2024, 2024

Enhancing Hybrid CNN-Transformer via Frequency-Based Bridging for Medical Image Segmentation.
Proceedings of the IEEE International Symposium on Biomedical Imaging, 2024

Image2Points: A 3D Point-Based Context Clusters GAN for High-Quality Pet Image Reconstruction.
Proceedings of the IEEE International Conference on Acoustics, 2024

2023
DBTrans: A Dual-Branch Vision Transformer for Multi-Modal Brain Tumor Segmentation.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023

TriDo-Former: A Triple-Domain Transformer for Direct PET Reconstruction from Low-Dose Sinograms.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023

2022
3D CVT-GAN: A 3D Convolutional Vision Transformer-GAN for PET Reconstruction.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022


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