Xiaobo Lai

According to our database, Xiaobo Lai authored at least 21 papers between 2019 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Automated Segmentation of Brain Gliomas in Multimodal MRI Data.

Changxiong Xie, Jianming Ye, Xiaofei Ma, Leshui Dong, Guohua Zhao, Jingliang Cheng, Guang Yang, Xiaobo Lai

Int. J. Imaging Syst. Technol., July, 2024

Staged cluster transformers for intracranial aneurysms segmentation from structure fused 3D MRA.

Lilin Guo, Yu Liang, Ruichao Guo, Zhijian Cao, Jianming Ye, Xiaobo Lai

Int. J. Imaging Syst. Technol., 2024

2023

Non-invasive prediction of overall survival time for glioblastoma multiforme patients based on multimodal MRI radiomics.

Jingyu Zhu, Jianming Ye, Leshui Dong, Xiaofei Ma, Na Tang, Peng Xu, Wei Jin, Ruipeng Li, Guang Yang, Xiaobo Lai

Int. J. Imaging Syst. Technol., July, 2023

2022

Nonlocal convolutional block attention module VNet for gliomas automatic segmentation.

Ying Fang, He Huang, Weiji Yang, Xiaomei Xu, Weiwei Jiang, Xiaobo Lai

Int. J. Imaging Syst. Technol., 2022

ME-Net: Multi-Encoder Net Framework for Brain Tumor Segmentation.

Wenbo Zhang, Guang Yang, He Huang, Weiji Yang, Xiaomei Xu, Yongkai Liu, Xiaobo Lai

CoRR, 2022

Automated Segmentation of Mass Regions in DBT Images Using a Dilated DCNN Approach.

Jianming Ye, Weiji Yang, Jianqing Wang, Xiaomei Xu, Liuyi Li, Chun Xie, Gang Chen, Xiangcai Wang, Xiaobo Lai

Comput. Intell. Neurosci., 2022

3D AGSE-VNet: an automatic brain tumor MRI data segmentation framework.

Xi Guan, Guang Yang, Jianming Ye, Weiji Yang, Xiaomei Xu, Weiwei Jiang, Xiaobo Lai

BMC Medical Imaging, 2022

2021

Tumor Grade and Overall Survival Prediction of Gliomas Using Radiomics.

Jianming Ye, He Huang, Weiwei Jiang, Xiaomei Xu, Chun Xie, Bo Lu, Xiangcai Wang, Xiaobo Lai

Sci. Program., 2021

Automatic Retinal Vessel Segmentation Based on an Improved U-Net Approach.

Zihe Huang, Ying Fang, He Huang, Xiaomei Xu, Jiwei Wang, Xiaobo Lai

Sci. Program., 2021

Automatic Segmentation of Color Tongue Image Using Deep Asymmetric Convolution Skip Net.

He Huang, Xi Guan, Wenbo Zhang, Juhua Zhou, Bofeng Wu, Xiaobo Lai

J. Medical Imaging Health Informatics, 2021

Automatic Segmentation of Tongue Image Based on Res-Unet Approach.

Xi Guan, Wenbo Zhang, Juhua Zhou, Bofeng Wu, He Huang, Xiaobo Lai

J. Medical Imaging Health Informatics, 2021

ME-Net: Multi-encoder net framework for brain tumor segmentation.

Wenbo Zhang, Guang Yang, He Huang, Weiji Yang, Xiaomei Xu, Yongkai Liu, Xiaobo Lai

Int. J. Imaging Syst. Technol., 2021

3D PBV-Net: An automated prostate MRI data segmentation method.

Yao Jin, Guang Yang, Ying Fang, Ruipeng Li, Xiaomei Xu, Yongkai Liu, Xiaobo Lai

Comput. Biol. Medicine, 2021

2020

Automatic Diagnosis for Glaucoma Fusing Multi-Feature and Multi-Classifier.

Xiaomei Xu, Xiaobo Lai, Yanli Liu

J. Medical Imaging Health Informatics, 2020

Automatic Detection of Diabetic Retinopathy with Statistical Method and Bayesian Classifier.

Yafen Kang, Ying Fang, Xiaobo Lai

J. Medical Imaging Health Informatics, 2020

DBT Masses Automatic Segmentation Using U-Net Neural Networks.

Xiaobo Lai, Weiji Yang, Ruipeng Li

Comput. Math. Methods Medicine, 2020

Left ventricle automatic segmentation in cardiac MRI using a combined CNN and U-net approach.

Bofeng Wu, Ying Fang, Xiaobo Lai

Comput. Medical Imaging Graph., 2020

2019

An Efficient Implementation of a Census-Based Stereo Matching and Its Applications in Medical Imaging.

Xiaobo Lai, Xiaomei Xu, Jinyan Zhang, Ying Fang, Zihe Huang

J. Medical Imaging Health Informatics, 2019

Automatic Glioblastoma Segmentation in Multimodal MR Images Using Improved Fully Convolutional Neural Networks.

Xiaobo Lai, Xiaomei Xu, Wensheng Li

J. Medical Imaging Health Informatics, 2019

Computerized Diabetic Retinopathy Diagnosis with Optimized Random Forest.

Xiaobo Lai, Lili Lv, Zihe Huang

J. Medical Imaging Health Informatics, 2019

A novel non-parametric transform stereo matching method based on mutual relationship.

Xiaobo Lai, Xiaomei Xu, Lili Lv, Zihe Huang, Jinyan Zhang, Peng Huang

Computing, 2019