Kaicong Sun
Orcid: 0000-0002-9999-2542
According to our database1,
Kaicong Sun
authored at least 37 papers
between 2018 and 2025.
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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
IEEE Trans. Medical Imaging, February, 2024
IEEE Trans. Medical Imaging, January, 2024
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
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
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
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
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
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
PhD thesis, 2021
Bilateral Spectrum Weighted Total Variation for Noisy-Image Super-Resolution and Image Denoising.
IEEE Trans. Signal Process., 2021
2020
Signal Process. Image Commun., 2020
2018
Proceedings of the 2018 International Conference on Advanced Computing and Applications, 2018