Iterative PET Image Reconstruction Using Convolutional Neural Network Representation. - Kuang Gong; Jiahui Guan; Kyung Sang Kim; Xuezhu Zhang; Georges El Fakhri; Jinyi Qi; Quanzheng Li (CoRR, 2017)

Attenuation Correction for Brain PET imaging using Deep Neural Network based on Dixon and ZTE MR images. - Kuang Gong; Jaewon Yang; Kyung Sang Kim; Georges El Fakhri; Youngho Seo; Quanzheng Li (CoRR, 2017)

Sinogram Blurring Matrix Estimation From Point Sources Measurements With Rank-One Approximation for Fully 3-D PET. - Kuang Gong; Jian Zhou; Michel Tohme; Martin Judenhofer; Yongfeng Yang; Jinyi Qi (IEEE Trans. Medical Imaging, 2017)

Learning Personalized Representation for Inverse Problems in Medical Imaging Using Deep Neural Network. - Kuang Gong; Kyung Sang Kim; Jianan Cui; Ning Guo; Ciprian Catana; Jinyi Qi; Quanzheng Li (CoRR, 2018)

Direct Patlak Reconstruction From Dynamic PET Data Using the Kernel Method With MRI Information Based on Structural Similarity. - Kuang Gong; Jinxiu Cheng-Liao; Guobao Wang; Kevin T. Chen; Ciprian Catana; Jinyi Qi (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". - Kuang Gong; Jinxiu Cheng-Liao; Guobao Wang; Kevin T. Chen; Ciprian Catana; Jinyi Qi (IEEE Trans. Medical Imaging, 2018)

Penalized PET Reconstruction Using Deep Learning Prior and Local Linear Fitting. - Kyung Sang Kim; Dufan Wu; Kuang Gong; Joyita Dutta; Jong Hoon Kim; Young-Don Son; Hang-Keun Kim; Georges El Fakhri; Quanzheng Li (IEEE Trans. Medical Imaging, 2018)

Automatic multi-modality segmentation of gross tumor volume for head and neck cancer radiotherapy using 3D U-Net. - Zhe Guo; Ning Guo; Kuang Gong; Quanzheng Li (Computer-Aided Diagnosis, 2019)

Consensus Neural Network for Medical Imaging Denoising with Only Noisy Training Samples. - Dufan Wu; Kuang Gong; Kyung Sang Kim; Xiang Li 001; Quanzheng Li (MICCAI (4), 2019)

Consensus Neural Network for Medical Imaging Denoising with Only Noisy Training Samples. - Dufan Wu; Kuang Gong; Kyung Sang Kim; Quanzheng Li (CoRR, 2019)

Penalized-likelihood PET Image Reconstruction Using 3D Structural Convolutional Sparse Coding. - Nuobei Xie; Kuang Gong; Ning Guo; ZhiXin Qin; Zhifang Wu; Huafeng Liu 003; Quanzheng Li (CoRR, 2019)

PET Image Reconstruction Using Deep Image Prior. - Kuang Gong; Ciprian Catana; Jinyi Qi; Quanzheng Li (IEEE Trans. Medical Imaging, 2019)

Iterative PET Image Reconstruction Using Convolutional Neural Network Representation. - Kuang Gong; Jiahui Guan; Kyung Sang Kim; Xuezhu Zhang; Jaewon Yang; Youngho Seo; Georges El Fakhri; Jinyi Qi; Quanzheng Li (IEEE Trans. Medical Imaging, 2019)

Super Resolution of Arterial Spin Labeling MR Imaging Using Unsupervised Multi-scale Generative Adversarial Network. - Jianan Cui; Kuang Gong; Paul Han; Huafeng Liu 003; Quanzheng Li (MLMI@MICCAI, 2020)

Clinically Translatable Direct Patlak Reconstruction from Dynamic PET with Motion Correction Using Convolutional Neural Network. - Nuobei Xie; Kuang Gong; Ning Guo; ZhiXing Qin; Jianan Cui; Zhifang Wu; Huafeng Liu 003; Quanzheng Li (MICCAI (7), 2020)

Machine Learning in PET: From Photon Detection to Quantitative Image Reconstruction. - Kuang Gong; Eric Berg; Simon R. Cherry; Jinyi Qi (Proc. IEEE, 2020)

Severity and Consolidation Quantification of COVID-19 From CT Images Using Deep Learning Based on Hybrid Weak Labels. - Dufan Wu; Kuang Gong; Chiara Daniela Arru; Fatemeh Homayounieh; Bernardo Bizzo; Varun Buch; Hui Ren 001; Kyung Sang Kim; Nir Neumark; Pengcheng Xu; Zhiyuan Liu; Wei Fang; et al. (IEEE J. Biomed. Health Informatics, 2020)

Rapid high-quality PET Patlak parametric image generation based on direct reconstruction and temporal nonlocal neural network. - Nuobei Xie; Kuang Gong; Ning Guo; ZhiXing Qin; Zhifang Wu; Huafeng Liu 003; Quanzheng Li (NeuroImage, 2021)

PET Denoising and Uncertainty Estimation Based on NVAE Model Using Quantile Regression Loss. - Jianan Cui; Yutong Xie 004; Anand A. Joshi; Kuang Gong; Kyung Sang Kim; Young-Don Son; Jong Hoon Kim; Richard M. Leahy; Huafeng Liu 003; Quanzheng Li (MICCAI (4), 2022)

A Noise-Level-Aware Framework for PET Image Denoising. - Ye Li; Jianan Cui; Junyu Chen 002; Guodong Zeng; Scott Wollenweber; Floris Jansen; Se-In Jang; Kyung Sang Kim; Kuang Gong; Quanzheng Li (MLMIR@MICCAI, 2022)

PET image denoising based on denoising diffusion probabilistic models. - Kuang Gong; Keith A. Johnson; Georges El Fakhri; Quanzheng Li; Tinsu Pan (CoRR, 2022)

Investigation of Network Architecture for Multimodal Head-and-Neck Tumor Segmentation. - Ye Li; Junyu Chen 002; Se-In Jang; Kuang Gong; Quanzheng Li (CoRR, 2022)

Unsupervised PET logan parametric image estimation using conditional deep image prior. - Jianan Cui; Kuang Gong; Ning Guo; Kyung Sang Kim; Huafeng Liu 003; Quanzheng Li (Medical Image Anal., 2022)

Penalized-Likelihood PET Image Reconstruction Using 3D Structural Convolutional Sparse Coding. - Nuobei Xie; Kuang Gong; Ning Guo; ZhiXing Qin; Zhifang Wu; Huafeng Liu 003; Quanzheng Li (IEEE Trans. Biomed. Eng., 2022)

Direct Reconstruction of Linear Parametric Images From Dynamic PET Using Nonlocal Deep Image Prior. - Kuang Gong; Ciprian Catana; Jinyi Qi; Quanzheng Li (IEEE Trans. Medical Imaging, 2022)

SwinCross: Cross-modal Swin Transformer for Head-and-Neck Tumor Segmentation in PET/CT Images. - Gary Y. Li; Junyu Chen 002; Se-In Jang; Kuang Gong; Quanzheng Li (CoRR, 2023)

TauPETGen: Text-Conditional Tau PET Image Synthesis Based on Latent Diffusion Models. - Se-In Jang; Cristina Lois; Emma Thibault; J. Alex Becker; Yafei Dong; Marc D. Normandin; Julie C. Price; Keith A. Johnson; Georges El Fakhri; Kuang Gong (CoRR, 2023)

Neural KEM: A Kernel Method With Deep Coefficient Prior for PET Image Reconstruction. - Siqi Li; Kuang Gong; Ramsey D. Badawi; Edward J. Kim 002; Jinyi Qi; Guobao Wang (IEEE Trans. Medical Imaging, 2023)

PET Image Denoising Based on 3D Denoising Diffusion Probabilistic Model: Evaluations on Total-Body Datasets. - Boxiao Yu; Savas Ozdemir; Yafei Dong; Wei Shao 008; Kuangyu Shi; Kuang Gong (MICCAI (7), 2024)

Head and Neck Tumor Segmentation from [18F]F-FDG PET/CT Images Based on 3D Diffusion Model. - Yafei Dong; Kuang Gong (CoRR, 2024)

Fast-DDPM: Fast Denoising Diffusion Probabilistic Models for Medical Image-to-Image Generation. - Hongxu Jiang; Muhammad Imran 013; Linhai Ma; Teng Zhang; Yuyin Zhou; Muxuan Liang; Kuang Gong; Wei Shao 008 (CoRR, 2024)

LDM-Morph: Latent diffusion model guided deformable image registration. - Jiong Wu; Kuang Gong (CoRR, 2024)

Spach Transformer: Spatial and Channel-Wise Transformer Based on Local and Global Self-Attentions for PET Image Denoising. - Se-In Jang; Tinsu Pan; Ye Li; Pedram Heidari; Junyu Chen 002; Quanzheng Li; Kuang Gong (IEEE Trans. Medical Imaging, 2024)

Anatomically Guided PET Image Reconstruction Using Conditional Weakly-Supervised Multi-Task Learning Integrating Self-Attention. - Bao Yang; Kuang Gong; Huafeng Liu 003; Quanzheng Li; Wentao Zhu 002 (IEEE Trans. Medical Imaging, 2024)

Joint Reconstruction of Activity and Attenuation for PET Imaging with Diffusion Prior. - Sangjin Bae; Jae Sung Lee; Kuang Gong (ISBI, 2025)

Unsupervised Learning-Based Large Deformation Diffeomorphic Metric Mapping for Fast Image Registration. - Jiong Wu; Kuang Gong (ISBI, 2025)

Fau-Net: Fourier Attention Based 3D U-Net For Medical Image Registration. - Jiong Wu; Yiyuan Wang; Kuang Gong (ISBI, 2025)

Adaptive Whole-Body Pet Image Denoising Using 3D Diffusion Models with Controlnet. - Boxiao Yu; Kuang Gong (ISBI, 2025)

DCFormer: Efficient 3D Vision-Language Modeling with Decomposed Convolutions. - Gorkem Can Ates; Kuang Gong; Wei Shao 008 (CoRR, 2025)

Geodesic Diffusion Models for Medical Image-to-Image Generation. - Teng Zhang; Hongxu Jiang; Kuang Gong; Wei Shao 008 (CoRR, 2025)

Med3DVLM: An Efficient Vision-Language Model for 3D Medical Image Analysis. - Yu Xin; Gorkem Can Ates; Kuang Gong; Wei Shao 008 (CoRR, 2025)

CDPDNet: Integrating Text Guidance with Hybrid Vision Encoders for Medical Image Segmentation. - Jiong Wu; Yang Xing; Boxiao Yu; Wei Shao 008; Kuang Gong (CoRR, 2025)

SAM2-SGP: Enhancing SAM2 for Medical Image Segmentation via Support-Set Guided Prompting. - Yang Xing; Jiong Wu; Yuheng Bu; Kuang Gong (CoRR, 2025)

PET Image Reconstruction Using Deep Diffusion Image Prior. - Fumio Hashimoto; Kuang Gong (CoRR, 2025)