Xiaobo Lai - RankMe

29 papers Journal 29

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Self-attention-based mixture-of-experts framework for non-invasive prediction of MGMT promoter methylation in glioblastoma using multi-modal MRI. Displays Yuehui Liao, Yun Zheng, Jingyu Zhu, Yu Chen, Feng Gao, Yaning Feng, Weiji Yang, Guang Yang, Xiaobo Lai, Panfei Li
2026	J	`jnl`	Trans-MT: a 3D semi-supervised glioma segmentation model integrating transformer architecture and asymmetric data augmentation. Displays Yuehui Liao, Yun Zheng, Yingjie Jiao, Na Tang, Yuhao Wang, Yu Hu, Yaning Feng, Ruofan Wang, Qun Jin, Xiaobo Lai, Panfei Li
2025	J	`jnl`	A systematic review and meta-analysis of deep learning and radiomics in predicting MGMT promoter methylation status in glioblastoma: Efficacy, reliability, and clinical implications. Displays Yu Chen, Yuehui Liao, Panfei Li, Wei Jin, Jingwan Fang, Junwei Huang, Yaning Feng, Changxiong Xie, Ruipeng Li, Qun Jin, Xiaobo Lai
2025	J	`jnl`	Dual examiner consistency learning with dynamic receptive fields and class-balance refinement for Barely-supervised brain tumor segmentation. Displays Xiaofei Ma, Manman Tian, Jianming Ye, Yuehui Liao, Yu Chen, Changxiong Xie, Ruipeng Li, Panfei Li, Jianqing Wang, Xiaomei Xu, Xiaobo Lai
2025	J	`jnl`	Multimodal MRI-Based Glioma Segmentation and MGMT Promoter Methylation Status Prediction Using Multitask Learning Architecture. Int. J. Imaging Syst. Technol. Jingyu Zhu, Yuehui Liao, Yu Chen, Feng Gao, Ruipeng Li, Guang Yang, Xiaobo Lai, Jing Chen
2025	J	`jnl`	Non-Invasive Prediction of Axillary Lymph Node Metastasis in Breast Cancer Using Combined Clinical, Radiomics, and Deep Learning Features. Int. J. Imaging Syst. Technol. Jing Chen, Xiaoying Qiu, Yun Zheng, Yuehui Liao, Weiji Yang, Jionghui Gu, Chunhong Yan, Lang Meng, Jing Cheng, Tian'an Jiang, Xiaobo Lai
2025	J	`jnl`	Radiomics-Driven Lung Adenocarcinoma Subtype Classification. Int. J. Imaging Syst. Technol. Dang Zhang, Xiaoming Wu, Bo Wang, Xinran Wang, Peilin Sheng, Wei Jin, Lilin Guo, Xiaobo Lai, Jian Xu, Jianqing Wang
2024	J	`jnl`	Automated Segmentation of Brain Gliomas in Multimodal MRI Data. Int. J. Imaging Syst. Technol. Changxiong Xie, Jianming Ye, Xiaofei Ma, Leshui Dong, Guohua Zhao, Jingliang Cheng, Guang Yang, Xiaobo Lai
2024	J	`jnl`	Staged cluster transformers for intracranial aneurysms segmentation from structure fused 3D MRA. Int. J. Imaging Syst. Technol. Lilin Guo, Yu Liang, Ruichao Guo, Zhijian Cao, Jianming Ye, Xiaobo Lai
2023	J	`jnl`	Non-invasive prediction of overall survival time for glioblastoma multiforme patients based on multimodal MRI radiomics. Int. J. Imaging Syst. Technol. Jingyu Zhu, Jianming Ye, Leshui Dong, Xiaofei Ma, Na Tang, Peng Xu, Wei Jin, Ruipeng Li, Guang Yang, Xiaobo Lai
2022	J	`jnl`	3D AGSE-VNet: an automatic brain tumor MRI data segmentation framework. BMC Medical Imaging Xi Guan, Guang Yang, Jianming Ye, Weiji Yang, Xiaomei Xu, Weiwei Jiang, Xiaobo Lai
2022	J	`jnl`	Automated Segmentation of Mass Regions in DBT Images Using a Dilated DCNN Approach. Comput. Intell. Neurosci. Jianming Ye, Weiji Yang, Jianqing Wang, Xiaomei Xu, Liuyi Li, Chun Xie, Gang Chen, Xiangcai Wang, Xiaobo Lai
2022	J	`jnl`	ME-Net: Multi-Encoder Net Framework for Brain Tumor Segmentation. CoRR Wenbo Zhang, Guang Yang, He Huang, Weiji Yang, Xiaomei Xu, Yongkai Liu, Xiaobo Lai
2022	J	`jnl`	Nonlocal convolutional block attention module VNet for gliomas automatic segmentation. Int. J. Imaging Syst. Technol. Ying Fang, He Huang, Weiji Yang, Xiaomei Xu, Weiwei Jiang, Xiaobo Lai
2021	J	`jnl`	3D AGSE-VNet: An Automatic Brain Tumor MRI Data Segmentation Framework. CoRR Xi Guan, Guang Yang, Jianming Ye, Weiji Yang, Xiaomei Xu, Weiwei Jiang, Xiaobo Lai
2021	J	`jnl`	3D PBV-Net: An automated prostate MRI data segmentation method. Comput. Biol. Medicine Yao Jin, Guang Yang, Ying Fang, Ruipeng Li, Xiaomei Xu, Yongkai Liu, Xiaobo Lai
2021	J	`jnl`	Automatic Retinal Vessel Segmentation Based on an Improved U-Net Approach. Sci. Program. Zihe Huang, Ying Fang, He Huang, Xiaomei Xu, Jiwei Wang, Xiaobo Lai
2021	J	`jnl`	Automatic Segmentation of Color Tongue Image Using Deep Asymmetric Convolution Skip Net. J. Medical Imaging Health Informatics He Huang, Xi Guan, Wenbo Zhang, Juhua Zhou, Bofeng Wu, Xiaobo Lai
2021	J	`jnl`	Automatic Segmentation of Tongue Image Based on Res-Unet Approach. J. Medical Imaging Health Informatics Xi Guan, Wenbo Zhang, Juhua Zhou, Bofeng Wu, He Huang, Xiaobo Lai
2021	J	`jnl`	ME-Net: Multi-encoder net framework for brain tumor segmentation. Int. J. Imaging Syst. Technol. Wenbo Zhang, Guang Yang, He Huang, Weiji Yang, Xiaomei Xu, Yongkai Liu, Xiaobo Lai
2021	J	`jnl`	Tumor Grade and Overall Survival Prediction of Gliomas Using Radiomics. Sci. Program. Jianming Ye, He Huang, Weiwei Jiang, Xiaomei Xu, Chun Xie, Bo Lu, Xiangcai Wang, Xiaobo Lai
2020	J	`jnl`	Automatic Detection of Diabetic Retinopathy with Statistical Method and Bayesian Classifier. J. Medical Imaging Health Informatics Yafen Kang, Ying Fang, Xiaobo Lai
2020	J	`jnl`	Automatic Diagnosis for Glaucoma Fusing Multi-Feature and Multi-Classifier. J. Medical Imaging Health Informatics Xiaomei Xu, Xiaobo Lai, Yanli Liu
2020	J	`jnl`	DBT Masses Automatic Segmentation Using U-Net Neural Networks. Comput. Math. Methods Medicine Xiaobo Lai, Weiji Yang, Ruipeng Li
2020	J	`jnl`	Left ventricle automatic segmentation in cardiac MRI using a combined CNN and U-net approach. Comput. Medical Imaging Graph. Bofeng Wu, Ying Fang, Xiaobo Lai
2019	J	`jnl`	A novel non-parametric transform stereo matching method based on mutual relationship. Computing Xiaobo Lai, Xiaomei Xu, Lili Lv, Zihe Huang, Jinyan Zhang, Peng Huang
2019	J	`jnl`	An Efficient Implementation of a Census-Based Stereo Matching and Its Applications in Medical Imaging. J. Medical Imaging Health Informatics Xiaobo Lai, Xiaomei Xu, Jinyan Zhang, Ying Fang, Zihe Huang
2019	J	`jnl`	Automatic Glioblastoma Segmentation in Multimodal MR Images Using Improved Fully Convolutional Neural Networks. J. Medical Imaging Health Informatics Xiaobo Lai, Xiaomei Xu, Wensheng Li
2019	J	`jnl`	Computerized Diabetic Retinopathy Diagnosis with Optimized Random Forest. J. Medical Imaging Health Informatics Xiaobo Lai, Lili Lv, Zihe Huang