Kaicong Sun

Orcid: 0000-0002-9999-2542

According to our database1, Kaicong Sun authored at least 22 papers between 2018 and 2024.

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

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
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Links

On csauthors.net:

Bibliography

2024
An Anatomy- and Topology-Preserving Framework for Coronary Artery Segmentation.
IEEE Trans. Medical Imaging, February, 2024

Joint Cross-Attention Network With Deep Modality Prior for Fast MRI Reconstruction.
IEEE Trans. Medical Imaging, 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
Multi-material blind beam hardening correction in near real-time based on non-linearity adjustment of projections.
J. Real Time Image Process., April, 2023

A resolution enhancement plug-in for deformable registration of medical images.
Biomed. Signal Process. Control., 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

Vector Quantized Multi-modal Guidance for Alzheimer's Disease Diagnosis Based on Feature Imputation.
Proceedings of the Machine Learning in Medical Imaging - 14th International Workshop, 2023

Consistent and Accurate Segmentation for Serial Infant Brain MR Images with Registration Assistance.
Proceedings of the Machine Learning in Medical Imaging - 14th International Workshop, 2023

Adult-Like Phase and Multi-scale Assistance for Isointense Infant Brain Tissue Segmentation.
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

Transformer-Based Multimodal Fusion for Early Diagnosis of Alzheimer's Disease Using Structural MRI And PET.
Proceedings of the 20th IEEE International Symposium on Biomedical Imaging, 2023

Super-Resolution Reconstruction of Fetal Brain MRI with Prior Anatomical Knowledge.
Proceedings of the Information Processing in Medical Imaging, 2023

2022
An FPGA-Based Residual Recurrent Neural Network for Real-Time Video Super-Resolution.
IEEE Trans. Circuits Syst. Video Technol., 2022

A GPU-accelerated light-field super-resolution framework based on mixed noise model and weighted regularization.
J. Real Time Image Process., 2022

FL-MISR: fast large-scale multi-image super-resolution for computed tomography based on multi-GPU acceleration.
J. Real Time Image Process., 2022

Computational scatter correction in near real-time with a fast Monte Carlo photon transport model for high-resolution flat-panel CT.
J. Real Time Image Process., 2022

DPDudoNet: Deep-Prior Based Dual-Domain Network for Low-Dose Computed Tomography Reconstruction.
Proceedings of the Machine Learning for Medical Image Reconstruction, 2022

2021
Super-resolution enhancement for computed tomography imaging and image processing.
PhD thesis, 2021

Bilateral Spectrum Weighted Total Variation for Noisy-Image Super-Resolution and Image Denoising.
IEEE Trans. Signal Process., 2021

2020
Multi-frame super-resolution reconstruction based on mixed Poisson-Gaussian noise.
Signal Process. Image Commun., 2020

FDRN: A Fast Deformable Registration Network for Medical Images.
CoRR, 2020

2018
GPU-Accelerated Light-Field Image Super-Resolution.
Proceedings of the 2018 International Conference on Advanced Computing and Applications, 2018


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