Zixu Zhuang

Orcid: 0000-0001-7451-6999

According to our database1, Zixu Zhuang authored at least 14 papers between 2021 and 2024.

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Bibliography

2024
ChatCAD+: Toward a Universal and Reliable Interactive CAD Using LLMs.
IEEE Trans. Medical Imaging, November, 2024

Randomizing Human Brain Function Representation for Brain Disease Diagnosis.
IEEE Trans. Medical Imaging, July, 2024

Spatial attention-based implicit neural representation for arbitrary reduction of MRI slice spacing.
Medical Image Anal., 2024

MUC: Mixture of Uncalibrated Cameras for Robust 3D Human Body Reconstruction.
CoRR, 2024

Affinity Learning Based Brain Function Representation for Disease Diagnosis.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2024, 2024

2023
Knee Cartilage Defect Assessment by Graph Representation and Surface Convolution.
IEEE Trans. Medical Imaging, February, 2023

ChatCAD+: Towards a Universal and Reliable Interactive CAD using LLMs.
CoRR, 2023

Learning Better Contrastive View from Radiologist's Gaze.
CoRR, 2023

Domain Generalization for Mammographic Image Analysis via Contrastive Learning.
CoRR, 2023

CAS-Net: Cross-View Aligned Segmentation by Graph Representation of Knees.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023

One-Shot Traumatic Brain Segmentation with Adversarial Training and Uncertainty Rectification.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023

Alias-Free Co-modulated Network for Cross-Modality Synthesis and Super-Resolution of MR Images.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023

2022
Local Graph Fusion of Multi-view MR Images for Knee Osteoarthritis Diagnosis.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022

2021
3DMeT: 3D Medical Image Transformer for Knee Cartilage Defect Assessment.
Proceedings of the Machine Learning in Medical Imaging - 12th International Workshop, 2021


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