Zhaoheng Xie

Orcid: 0000-0001-8003-8778

According to our database1, Zhaoheng Xie authored at least 16 papers between 2016 and 2026.

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

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

On csauthors.net:

Bibliography

2026
CT-Guided Spatially-varying Regularization for Voxel-Wise Deformable Whole-Body PET Registration.
CoRR, April, 2026

Enhancing uncertainty assessment in dynamic PET imaging with residual permutation and clustering.
Medical Image Anal., 2026

MemTTA: Cluster-guided continual test-time adaptation for cross-domain segmentation.
Expert Syst. Appl., 2026

2025
Vision-Language Models for Automated 3D PET/CT Report Generation.
CoRR, November, 2025

I<sup>2</sup>R: Inter and Intra-image Refinement in Few Shot Segmentation.
CoRR, July, 2025

Exploiting Inherent Class Label: Towards Robust Scribble Supervised Semantic Segmentation.
CoRR, March, 2025

Don't fear peculiar activation functions: EUAF and beyond.
Neural Networks, 2025

Generative learning-based lightweight MRI brain tumor segmentation with missing modalities.
Expert Syst. Appl., 2025

ECS-Net: Extracellular space segmentation with contrastive and shape-aware loss by using cryo-electron microscopy imaging.
Expert Syst. Appl., 2025

2024
PCNet: Prior Category Network for CT Universal Segmentation Model.
IEEE Trans. Medical Imaging, September, 2024

Modality-Projection Universal Model for Comprehensive Full-Body Medical Imaging Segmentation.
CoRR, 2024

LUCIDA: Low-Dose Universal-Tissue CT Image Domain Adaptation for Medical Segmentation.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2024, 2024

2023
FP-PET: Large Model, Multiple Loss And Focused Practice.
CoRR, 2023

Ultrasonic Image's Annotation Removal: A Self-supervised Noise2Noise Approach.
CoRR, 2023

Label-noise-tolerant medical image classification via self-attention and self-supervised learning.
CoRR, 2023

2016
Evaluation of a Wobbling Method Applied to Correcting Defective Pixels of CZT Detectors in SPECT Imaging.
Sensors, 2016


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