Kuang Gong
Orcid: 0000-0002-2669-2610
According to our database1,
Kuang Gong
authored at least 30 papers
between 2017 and 2024.
Collaborative distances:
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Bibliography
2024
Head and Neck Tumor Segmentation from [18F]F-FDG PET/CT Images Based on 3D Diffusion Model.
CoRR, 2024
2023
Neural KEM: A Kernel Method With Deep Coefficient Prior for PET Image Reconstruction.
IEEE Trans. Medical Imaging, March, 2023
TauPETGen: Text-Conditional Tau PET Image Synthesis Based on Latent Diffusion Models.
CoRR, 2023
SwinCross: Cross-modal Swin Transformer for Head-and-Neck Tumor Segmentation in PET/CT Images.
CoRR, 2023
2022
Direct Reconstruction of Linear Parametric Images From Dynamic PET Using Nonlocal Deep Image Prior.
IEEE Trans. Medical Imaging, 2022
Penalized-Likelihood PET Image Reconstruction Using 3D Structural Convolutional Sparse Coding.
IEEE Trans. Biomed. Eng., 2022
Unsupervised PET logan parametric image estimation using conditional deep image prior.
Medical Image Anal., 2022
Investigation of Network Architecture for Multimodal Head-and-Neck Tumor Segmentation.
CoRR, 2022
Spach Transformer: Spatial and Channel-wise Transformer Based on Local and Global Self-attentions for PET Image Denoising.
CoRR, 2022
Proceedings of the Machine Learning for Medical Image Reconstruction, 2022
PET Denoising and Uncertainty Estimation Based on NVAE Model Using Quantile Regression Loss.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022
2021
Rapid high-quality PET Patlak parametric image generation based on direct reconstruction and temporal nonlocal neural network.
NeuroImage, 2021
2020
Severity and Consolidation Quantification of COVID-19 From CT Images Using Deep Learning Based on Hybrid Weak Labels.
IEEE J. Biomed. Health Informatics, 2020
Proc. IEEE, 2020
Clinically Translatable Direct Patlak Reconstruction from Dynamic PET with Motion Correction Using Convolutional Neural Network.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020
Super Resolution of Arterial Spin Labeling MR Imaging Using Unsupervised Multi-scale Generative Adversarial Network.
Proceedings of the Machine Learning in Medical Imaging - 11th International Workshop, 2020
2019
Iterative PET Image Reconstruction Using Convolutional Neural Network Representation.
IEEE Trans. Medical Imaging, 2019
Penalized-likelihood PET Image Reconstruction Using 3D Structural Convolutional Sparse Coding.
CoRR, 2019
Consensus Neural Network for Medical Imaging Denoising with Only Noisy Training Samples.
CoRR, 2019
Consensus Neural Network for Medical Imaging Denoising with Only Noisy Training Samples.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019
Automatic multi-modality segmentation of gross tumor volume for head and neck cancer radiotherapy using 3D U-Net.
Proceedings of the Medical Imaging 2019: Computer-Aided Diagnosis, 2019
2018
IEEE Trans. Medical Imaging, 2018
Corrections to "Direct Patlak Reconstruction From Dynamic PET Data Using the Kernel Method With MRI Information Based on Structural Similarity".
IEEE Trans. Medical Imaging, 2018
Direct Patlak Reconstruction From Dynamic PET Data Using the Kernel Method With MRI Information Based on Structural Similarity.
IEEE Trans. Medical Imaging, 2018
Learning Personalized Representation for Inverse Problems in Medical Imaging Using Deep Neural Network.
CoRR, 2018
2017
Sinogram Blurring Matrix Estimation From Point Sources Measurements With Rank-One Approximation for Fully 3-D PET.
IEEE Trans. Medical Imaging, 2017
Attenuation Correction for Brain PET imaging using Deep Neural Network based on Dixon and ZTE MR images.
CoRR, 2017
Iterative PET Image Reconstruction Using Convolutional Neural Network Representation.
CoRR, 2017