Huabing Liu,Dong Nie,Jian Yang,Jinda Wang,Zhenyu Tang*.A New Multi-Atlas Based Deep Learning Segmentation Framework with Differentiable Atlas Feature Warping.[J]:IEEE Journal of Biomedical and Health Informatics,2024,28(3):1484-1493
Huabing Liu,Zhengze Ni,Dong Nie,Dinggang Shen,Jinda Wang,Zhenyu Tang*.Multimodal Brain Tumor Segmentation Boosted by Monomodal Normal Brain Images:IEEE Transactions on Image Processing,2024,33:1199-1210
Zhenyu Tang,Zhenyu Zhang,Huabing Liu,Dong Nie,Jing Yan*.Pre-operative Survival Prediction of Diffuse Glioma Patients with Joint Tumor Subtyping.[Conference]:MICCAI,2023
Zhenyu Tang,Hongda Cao,Yuyun Xu,Qing Yang,Jinda Wang,Han Zhang.Overall survival time prediction for glioblastoma using multimodal deep KNN.[J]:Physics in Medicine & Biology,2022
Huabing Liu,Dong Nie,Dinggang Shen,Jinda Wang,Zhenyu Tang*.Multimodal Brain Tumor Segmentation Using Contrastive Learning based Feature Comparison with Monomodal Normal Brain Images.[Conference]:MICCAI,2022
Zhenyu Tang,Wei Zhao,Xingzhi Xie,Zheng Zhong,Feng Shi,Jun Liu,Dinggang Shen*.Severity assessment of COVID-19 using CT image features and laboratory indices.[J]:Physics in Medicine & Biology,2021
Zhenyu Tang,Xianli Liu,Yang Li,Pew-Thian Yap,Dinggang Shen*.Multi-Atlas Brain Parcellation Using Squeeze-and-Excitation Fully Convolutional Networks.[J]:IEEE Transactions on Image Processing,2020
Zhenyu Tang,Yuyun Xu,Lei Jin,Abudumijiti Aibaidula,Junfeng Lu,Zhicheng Jiao,Jinsong Wu,Han Zhang,Dinggang Shen*.Deep Learning of Imaging Phenotype and Genotype for Predicting Overall Survival Time of Glioblastoma Patients.[J]:IEEE Transactions on Medical Imaging,2020
Zhenyu Tang,Pew-Thian Yap,Dinggang Shen*.A New Image Similarity Metric for Improving Deformation Consistency in Graph-Based Groupwise Image Registration.[J]:IEEE Transactions on Biomedical Engineering,2019,66(8):2192-2199
Zhenyu Tang,Pew-Thian Yap,Dinggang Shen*.A New Multi-Atlas Registration Framework for Multimodal Pathological Images Using Conventional Monomodal Normal Atlases.[J]:IEEE Transactions on Image Processing,2019,28(5):2293-2304