Yuning Gu

Orcid: 0009-0000-5588-3072

According to our database1, Yuning Gu authored at least 13 papers between 2020 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
Structure-Aware Registration Network for Liver DCE-CT Images.
IEEE J. Biomed. Health Informatics, April, 2024

Coarse-to-fine registration and time-intensity curves constraint for liver DCE-MRI synthesis.
Comput. Medical Imaging Graph., January, 2024

NaMa: Neighbor-Aware Multi-Modal Adaptive Learning for Prostate Tumor Segmentation on Anisotropic MR Images.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023
A robust and efficient AI assistant for breast tumor segmentation from DCE-MRI via a spatial-temporal framework.
Patterns, September, 2023

Accurate 3D Prediction of Missing Teeth in Diverse Patterns for Precise Dental Implant Planning.
CoRR, 2023

Modeling Life-Span Brain Age from Large-Scale Dataset Based on Multi-level Information Fusion.
Proceedings of the Machine Learning in Medical Imaging - 14th International Workshop, 2023

SPR-Net: Structural Points Based Registration for Coronary Arteries Across Systolic and Diastolic Phases.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023

Developing Large Pre-trained Model for Breast Tumor Segmentation from Ultrasound Images.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023

Location-Guided Multi-Modality Collaborative Learning for Prostate Tumor Segmentation.
Proceedings of the 20th IEEE International Symposium on Biomedical Imaging, 2023

2022
A Novel Unified Conditional Score-based Generative Framework for Multi-modal Medical Image Completion.
CoRR, 2022

Learning Towards Synchronous Network Memorizability and Generalizability for Continual Segmentation Across Multiple Sites.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022

Deep-Learning Based T<sub>1</sub> and T<sub>2</sub> Quantification from Undersampled Magnetic Resonance Fingerprinting Data to Track Tracer Kinetics in Small Laboratory Animals.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022

2020
High-Resolution Dynamic <sup>31</sup>P-MR Spectroscopic Imaging for Mapping Mitochondrial Function.
IEEE Trans. Biomed. Eng., 2020


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