Kaicong Sun

Orcid: 0000-0002-9999-2542

According to our database1, Kaicong Sun authored at least 37 papers between 2018 and 2025.

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

Timeline

Legend:

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In proceedings 
Article 
PhD thesis 
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Links

On csauthors.net:

Bibliography

2025
A Modality-Flexible Framework for Alzheimer's Disease Diagnosis Following Clinical Routine.
IEEE J. Biomed. Health Informatics, January, 2025

2024
Multi-Modal Modality-Masked Diffusion Network for Brain MRI Synthesis With Random Modality Missing.
IEEE Trans. Medical Imaging, July, 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

Detail-preserving image warping by enforcing smooth image sampling.
Neural Networks, 2024

3D MedDiffusion: A 3D Medical Diffusion Model for Controllable and High-quality Medical Image Generation.
CoRR, 2024

End-to-end Triple-domain PET Enhancement: A Hybrid Denoising-and-reconstruction Framework for Reconstructing Standard-dose PET Images from Low-dose PET Sinograms.
CoRR, 2024

DVasMesh: Deep Structured Mesh Reconstruction from Vascular Images for Dynamics Modeling of Vessels.
CoRR, 2024

Towards General Text-guided Image Synthesis for Customized Multimodal Brain MRI Generation.
CoRR, 2024

Contrast Representation Learning from Imaging Parameters for Magnetic Resonance Image Synthesis.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2024, 2024

Hierarchical Symmetric Normalization Registration Using Deformation-Inverse Network.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2024, 2024

SurRecNet: A Multi-task Model with Integrating MRI and Diagnostic Descriptions for Rectal Cancer Survival Analysis.
Proceedings of the Cancer Prevention, Detection, and Intervention - Third MICCAI Workshop, 2024

A Progressive Single-Modality to Multi-modality Classification Framework for Alzheimer's Disease Sub-type Diagnosis.
Proceedings of the Machine Learning in Clinical Neuroimaging - 7th International Workshop, 2024

UinTSeg: Unified Infant Brain Tissue Segmentation with Anatomy Delineation.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2024, 2024

LM-UNet: Whole-Body PET-CT Lesion Segmentation with Dual-Modality-Based Annotations Driven by Latent Mamba U-Net.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2024, 2024

k-t Self-consistency Diffusion: A Physics-Informed Model for Dynamic MR Imaging.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2024, 2024

Adaptive High-frequency Enhancement Network with Equilibrated Mechanism for MR Imaging.
Proceedings of the 46th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 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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