未登录Visualization of cerebral veins and deep gray matter nuclei by susceptibility-weighted imaging: a comparative study of 5.0 T and 3.0 T imaging利用 susceptibility-weighted imaging 技术对脑静脉和深部灰质核团的可视化：5.0 T 与 3.0 T 成像的对比研究
Yang, Shangpo; Huang, Zhenxing; Yuan, Jianmin; Wang, Haining; Dong, Yijing; Zhong, Yihong; Dai, Yongming; Liang, Dong; Zheng, Hairong; Luo, Dehong; Liu, Zhou; Hu, Zhanli .png)
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收藏分享 收藏 分享 收藏 分享 收藏 分享 收藏 分享 收藏 A generative whole-brain segmentation model for positron emission tomography images正电子发射断层图像的生成性全脑分割模型Li, Wenbo; Huang, Zhenxing; Tang, Hongyan; Wu, Yaping; Gao, Yunlong; Qin, Jing; Yuan, Jianmin; Yang, Yang; Zhang, Yan; Zhang, Na; Zheng, Hairong; Liang, Dong; Wang, Meiyun; Hu, Zhanli 分享 收藏 MacNet: a mobile attention classification network combining convolutional neural network and transformer for the differentiation of cervical cancerMacNet：一种结合卷积神经网络和Transformer的移动注意力分类网络，用于宫颈癌的鉴别诊断An, Yi; Lei, Yuanyuan; Huang, Zhenxing; Liu, Yu; Huang, Meiyong; Liu, Zhou; Li, Wenbo; Liang, Dong; Huang, Wenting; Hu, Zhanli 分享 收藏 分享 收藏 Graph theory analysis of a human body metabolic network: A systematic and organ-specific studyRuan, Jingxuan; Wu, Yaping; Wang, Haiyan; Huang, Zhenxing; Liu, Ziwei; Yang, Xinlang; Yang, Yongfeng; Zheng, Hairong; Liang, Dong; Wang, Meiyun; Hu, Zhanli 分享 收藏 Bidirectional dynamic frame prediction network for total-body [68Ga]Ga-PSMA-11 and [68Ga]Ga-FAPI-04 PET images用于全身 [68Ga]Ga-PSMA-11和 [68Ga]Ga-FAPI-04 PET图像的双向动态帧预测网络Yang, Qianyi; Li, Wenbo; Huang, Zhenxing; Chen, Zixiang; Zhao, Wenjie; Gao, Yunlong; Yang, Xinlan; Yang, Yongfeng; Zheng, Hairong; Liang, Dong; Liu, Jianjun; Chen, Ruohua; Hu, Zhanli 分享 收藏 MMCA-NET: A Multimodal Cross Attention Transformer Network for Nasopharyngeal Carcinoma Tumor Segmentation Based on a Total-Body PET/CT SystemZhao, Wenjie; Huang, Zhenxing; Tang, Si; Li, Wenbo; Gao, Yunlong; Hu, Yingying; Fan, Wei; Cheng, Chuanli; Yang, Yongfeng; Zheng, Hairong; Liang, Dong; Hu, Zhanli 分享 收藏 Accurate Whole-Brain Image Enhancement for Low-Dose Integrated PET/MR Imaging Through Spatial Brain Transformation通过空间脑变换实现低剂量PET/MR整合成像的精确全脑图像增强Huang, Zhenxing; Li, Wenbo; Wu, Yaping; Yang, Lin; Dong, Yun; Yang, Yongfeng; Zheng, Hairong; Liang, Dong; Wang, Meiyun; Hu, Zhanli 分享 收藏 OIF-Net: An Optical Flow Registration-Based PET/MR Cross-Modal Interactive Fusion Network for Low-Count Brain PET Image DenoisingOIF-Net: 一种基于光流配准的PET/MR跨模态交互式融合网络，用于低计数脑PET图像去噪Fu, Minghan; Zhang, Na; Huang, Zhenxing; Zhou, Chao; Zhang, Xu; Yuan, Jianmin; He, Qiang; Yang, Yongfeng; Zheng, Hairong; Liang, Dong; Wu, Fang-Xiang; Fan, Wei; Hu, Zhanli 分享 收藏 An interactive nuclei segmentation framework with Voronoi diagrams and weighted convex difference for cervical cancer pathology imagesYang, Lin; Lei, Yuanyuan; Huang, Zhenxing; Geng, Mengxiao; Liu, Zhou; Wang, Baijie; Luo, Dehong; Huang, Wenting; Liang, Dong; Pang, Zhifeng; Hu, Zhanli 分享 收藏 Few-shot segmentation framework for lung nodules via an optimized active contour modelYang, Lin; Shao, Dan; Huang, Zhenxing; Geng, Mengxiao; Zhang, Na; Chen, Long; Wang, Xi; Liang, Dong; Pang, Zhi-Feng; Hu, Zhanli 分享 收藏 Quantitative pharmacokinetic parameter Ktrans map assists in regional segmentation of nasopharyngeal carcinoma in dynamic contrast-enhanced magnetic resonance imaging (DCE-MRI)Huang, Junhui; Yang, Shangpo; Zou, Liyan; Chen, Yingying; Yang, Long; Yao, Bingyu; Huang, Zhenxing; Zhong, Yihong; Liu, Zhou; Zhang, Na 分享 收藏 Short-axis PET image quality improvement based on a uEXPLORER total-body PET system through deep learningHuang, Zhenxing; Li, Wenbo; Wu, Yaping; Guo, Nannan; Yang, Lin; Zhang, Na; Pang, Zhifeng; Yang, Yongfeng; Zhou, Yun; Shang, Yue; Zheng, Hairong; Liang, Dong; Wang, Meiyun; Hu, Zhanli 分享 收藏 MLNAN: Multi-level noise-aware network for low-dose CT imaging implemented with constrained cycle Wasserstein generative adversarial networksHuang, Zhenxing; Li, Wenbo; Wang, Yunling; Liu, Zhou; Zhang, Qiyang; Jin, Yuxi; Wu, Ruodai; Quan, Guotao; Liang, Dong; Hu, Zhanli; Zhang, Na 分享 收藏 分享 收藏 
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