GPU-Accelerated Light-Field Image Super-Resolution. - Trung-Hieu Tran; Gasim Mammadov; Kaicong Sun; Sven Simon 001 (ACOMP, 2018)

FDRN: A Fast Deformable Registration Network for Medical Images. - Kaicong Sun; Sven Simon 001 (CoRR, 2020)

Multi-frame super-resolution reconstruction based on mixed Poisson-Gaussian noise. - Kaicong Sun; Trung-Hieu Tran; Roman Krawtschenko; Sven Simon 001 (Signal Process. Image Commun., 2020)

Bilateral Spectrum Weighted Total Variation for Noisy-Image Super-Resolution and Image Denoising. - Kaicong Sun; Sven Simon 001 (IEEE Trans. Signal Process., 2021)

Super-resolution enhancement for computed tomography imaging and image processing. - Kaicong Sun (2021)

DPDudoNet: Deep-Prior Based Dual-Domain Network for Low-Dose Computed Tomography Reconstruction. - Temitope Emmanuel Komolafe; Yuhang Sun; Nizhuan Wang 001; Kaicong Sun; Guohua Cao; Dinggang Shen (MLMIR@MICCAI, 2022)

Computational scatter correction in near real-time with a fast Monte Carlo photon transport model for high-resolution flat-panel CT. - Ammar Alsaffar; Steffen Kieß; Kaicong Sun; Sven Simon 001 (J. Real Time Image Process., 2022)

FL-MISR: fast large-scale multi-image super-resolution for computed tomography based on multi-GPU acceleration. - Kaicong Sun; Trung-Hieu Tran; Guhathakurta Jajnabalkya; Sven Simon 001 (J. Real Time Image Process., 2022)

A GPU-accelerated light-field super-resolution framework based on mixed noise model and weighted regularization. - Trung-Hieu Tran; Kaicong Sun; Sven Simon 001 (J. Real Time Image Process., 2022)

An FPGA-Based Residual Recurrent Neural Network for Real-Time Video Super-Resolution. - Kaicong Sun; Maurice Koch; Zhe Wang 008; Slavisa Jovanovic; Hassan Rabah; Sven Simon 001 (IEEE Trans. Circuits Syst. Video Technol., 2022)

Super-Resolution Reconstruction of Fetal Brain MRI with Prior Anatomical Knowledge. - Shijie Huang; Geng Chen 001; Kaicong Sun; Zhiming Cui; Xukun Zhang; Peng Xue; Xuan Zhang; He Zhang; Dinggang Shen (IPMI, 2023)

Transformer-Based Multimodal Fusion for Early Diagnosis of Alzheimer's Disease Using Structural MRI And PET. - Yuanwang Zhang; Kaicong Sun; Yuxiao Liu; Dinggang Shen (ISBI, 2023)

Developing Large Pre-trained Model for Breast Tumor Segmentation from Ultrasound Images. - Meiyu Li; Kaicong Sun; Yuning Gu; Kai Zhang 039; Yiqun Sun; Zhenhui Li; Dinggang Shen (MICCAI (7), 2023)

Adult-Like Phase and Multi-scale Assistance for Isointense Infant Brain Tissue Segmentation. - Jiameng Liu; Feihong Liu; Kaicong Sun; Mianxin Liu; Yuhang Sun; Yuyan Ge; Dinggang Shen (MICCAI (4), 2023)

Consistent and Accurate Segmentation for Serial Infant Brain MR Images with Registration Assistance. - Yuhang Sun; Jiameng Liu; Feihong Liu; Kaicong Sun; Han Zhang 002; Feng Shi 001; Qianjin Feng; Dinggang Shen (MLMI@MICCAI (1), 2023)

Vector Quantized Multi-modal Guidance for Alzheimer's Disease Diagnosis Based on Feature Imputation. - Yuanwang Zhang; Kaicong Sun; Yuxiao Liu; Zaixin Ou; Dinggang Shen (MLMI@MICCAI (1), 2023)

Modeling Life-Span Brain Age from Large-Scale Dataset Based on Multi-level Information Fusion. - Nan Zhao; Yongsheng Pan; Kaicong Sun; Yuning Gu; Mianxin Liu; Zhong Xue; Han Zhang 002; Qing Yang; Fei Gao 010; Feng Shi 001; Dinggang Shen (MLMI@MICCAI (2), 2023)

A resolution enhancement plug-in for deformable registration of medical images. - Kaicong Sun; Sven Simon 001 (Biomed. Signal Process. Control., 2023)

Multi-material blind beam hardening correction in near real-time based on non-linearity adjustment of projections. - Ammar Alsaffar; Kaicong Sun; Sven Simon 001 (J. Real Time Image Process., 2023)

NaMa: Neighbor-Aware Multi-Modal Adaptive Learning for Prostate Tumor Segmentation on Anisotropic MR Images. - Runqi Meng; Xiao Zhang 028; Shijie Huang; Yuning Gu; Guiqin Liu; Guangyu Wu; Nizhuan Wang 001; Kaicong Sun; Dinggang Shen (AAAI, 2024)

Adaptive High-frequency Enhancement Network with Equilibrated Mechanism for MR Imaging. - Ye Liu; Kaicong Sun; Chong Li; Qingneng Li; Zhuoxu Cui; Jing Cheng; Dong Liang 001 (EMBC, 2024)

DVasMesh: Deep Structured Mesh Reconstruction from Vascular Images for Dynamics Modeling of Vessels. - Dengqiang Jia; Xinnian Yang; Xiaosong Xiong; Shijie Huang; Feiyu Hou; Li Qin; Kaicong Sun; Kannie W. Y. Chan; Dinggang Shen (GRAIL@MICCAI, 2024)

k-t Self-consistency Diffusion: A Physics-Informed Model for Dynamic MR Imaging. - Ye Liu; Zhuo-Xu Cui; Kaicong Sun; Ting Zhao; Jing Cheng; Yuliang Zhu; Dinggang Shen; Dong Liang 001 (MICCAI (7), 2024)

LM-UNet: Whole-Body PET-CT Lesion Segmentation with Dual-Modality-Based Annotations Driven by Latent Mamba U-Net. - Anglin Liu; Dengqiang Jia; Kaicong Sun; Runqi Meng; Meixin Zhao; Yongluo Jiang; Zhijian Dong; Yaozong Gao; Dinggang Shen (MICCAI (9), 2024)

UinTSeg: Unified Infant Brain Tissue Segmentation with Anatomy Delineation. - Jiameng Liu; Feihong Liu; Kaicong Sun; Yuhang Sun; Jiawei Huang; Caiwen Jiang; Islem Rekik; Dinggang Shen (MICCAI (2), 2024)

A Progressive Single-Modality to Multi-modality Classification Framework for Alzheimer's Disease Sub-type Diagnosis. - Yuxiao Liu; Mianxin Liu; Yuanwang Zhang; Kaicong Sun; Dinggang Shen (MLCN@MICCAI, 2024)

SurRecNet: A Multi-task Model with Integrating MRI and Diagnostic Descriptions for Rectal Cancer Survival Analysis. - Runqi Meng; Zonglin Liu; Yiqun Sun; Dengqiang Jia; Lin Teng; Qiong Ma; Tong Tong; Kaicong Sun; Dinggang Shen (CaPTion@MICCAI, 2024)

Hierarchical Symmetric Normalization Registration Using Deformation-Inverse Network. - Qingrui Sha; Kaicong Sun; Mingze Xu; Yonghao Li; Zhong Xue; Xiaohuan Cao; Dinggang Shen (MICCAI (2), 2024)

Contrast Representation Learning from Imaging Parameters for Magnetic Resonance Image Synthesis. - Honglin Xiong; Yu Fang; Kaicong Sun; Yulin Wang; Xiaopeng Zong; Weijun Zhang; Qian Wang 001 (MICCAI (7), 2024)

Towards General Text-guided Image Synthesis for Customized Multimodal Brain MRI Generation. - Yulin Wang; Honglin Xiong; Kaicong Sun; Shuwei Bai; Ling Dai; Zhongxiang Ding; Jiameng Liu; Qian Wang 001; Qian Liu 003; Dinggang Shen (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. - Caiwen Jiang; Mianxin Liu; Kaicong Sun; Dinggang Shen (CoRR, 2024)

3D MedDiffusion: A 3D Medical Diffusion Model for Controllable and High-quality Medical Image Generation. - Haoshen Wang; Zhentao Liu; Kaicong Sun; Xiaodong Wang; Dinggang Shen; Zhiming Cui (CoRR, 2024)

Detail-preserving image warping by enforcing smooth image sampling. - Qingrui Sha; Kaicong Sun; Caiwen Jiang; Mingze Xu; Zhong Xue; Xiaohuan Cao; Dinggang Shen (Neural Networks, 2024)

Joint Cross-Attention Network With Deep Modality Prior for Fast MRI Reconstruction. - Kaicong Sun; Qian Wang 001; Dinggang Shen (IEEE Trans. Medical Imaging, 2024)

An Anatomy- and Topology-Preserving Framework for Coronary Artery Segmentation. - Xiao Zhang 028; Kaicong Sun; Dijia Wu; Xiaosong Xiong; Jiameng Liu; Linlin Yao; Shufang Li; Yining Wang; Jun Feng 003; Dinggang Shen (IEEE Trans. Medical Imaging, 2024)

Multi-Modal Modality-Masked Diffusion Network for Brain MRI Synthesis With Random Modality Missing. - Xiangxi Meng; Kaicong Sun; Jun Xu 019; Xuming He 001; Dinggang Shen (IEEE Trans. Medical Imaging, 2024)

Hierarchical CLIPs for Fine-Grained Anatomical Lesion Localization from Whole-Body PET/CT Images. - Mingyang Yu; Yaozong Gao; Yiran Shu; Yanbo Chen; Jingyu Liu 002; Caiwen Jiang; Kaicong Sun; Weifang Zhang; Yiqiang Zhan; Xiang Sean Zhou; Shaonan Zhong; Xinlu Wang; et al. (IPMI (2), 2025)

Learning contrast and content representations for synthesizing magnetic resonance image of arbitrary contrast. - Honglin Xiong; Yulin Wang; Zhenrong Shen 001; Kaicong Sun; Yu Fang; Yan Chen; Dinggang Shen; Qian Wang 001 (Medical Image Anal., 2025)

A Modality-Flexible Framework for Alzheimer's Disease Diagnosis Following Clinical Routine. - Yuanwang Zhang; Kaicong Sun; Yuxiao Liu; Fang Xie; Qihao Guo; Dinggang Shen (IEEE J. Biomed. Health Informatics, 2025)

MIP-Enhanced Uncertainty-Aware Network for Fast 7T Time-of-Flight MRA Reconstruction. - Kaicong Sun; Caohui Duan; Xin Lou; Dinggang Shen (IEEE Trans. Medical Imaging, 2025)

SRM-Net: Joint Sampling and Reconstruction and Mapping Network for Accelerated 3T Brain Multi-Parametric MR Imaging. - Yuxuan Liu; Kaicong Sun; Haikun Qi; Junwei Yang; Xiaopeng Zong; Yongsheng Pan; Yuning Gu; Sifan He; Han Zhang 002; Yu Zhang 009; Dinggang Shen (IEEE Trans. Biomed. Eng., 2025)