Jie Bai - the First Affiliated Hospital, Zhengzhou University

基本信息

Career Trajectory

Bio

Jie Bai received the master's degree in medical images from the First Affiliated Hospital of Zhengzhou University, Zhengzhou, China, in 2003. Her major research interest is medical imaging, which is mainly good at magnetic resonance diagnosis of central nervous system diseases.

Research Interests

Papers共 42 篇Author StatisticsCo-AuthorSimilar Experts

By YearBy Citation主题筛选期刊级别筛选合作者筛选合作机构筛选

Using Partially Shared Radiomics Features to Simultaneously Identify Isocitrate Dehydrogenase Mutation Status and Epilepsy in Glioma Patients from MRI Images

Yida Wang,Ankang Gao,Hongxi Yang,Jie Bai,Guohua Zhao, Huiting Zhang, Yang Song, Chenglong Wang,Yong Zhang,Jingliang Cheng,Guang Yang

SCIENTIFIC REPORTSno. 1 (2025)

Cited0Views0WOSNATUREBibtex

TextBraTS: Text-Guided Volumetric Brain Tumor Segmentation with Innovative Dataset Development and Fusion Module Exploration

Xiaoyu Shi, Rahul Kumar Jain, Yinhao Li, Ruibo Hou,Jingliang Cheng,Jie Bai,Guohua Zhao,Lanfen Lin,Rui Xu,Yen-wei Chen

arxiv（2025）

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Radiomics Analysis of Diffusion Kurtosis Imaging: Distinguishing Between Glioblastoma and Single Brain Metastasis

Eryuan Gao,Peipei Wang,Jie Bai,Xiaoyue Ma,Yufei Gao,Jinbo Qi,Kai Zhao,Huiting Zhang,Xu Yan,Guang Yang,Guohua Zhao,Jingliang Cheng

ACADEMIC RADIOLOGY（2024）

Cited1Views0WOSBibtex

Medical SAM: A Glioma Segmentation Fine-tuning Method for SAM Using Brain MR Images

Xiaoyu Shi,Yinhao Li,Jingliang Cheng,Jie Bai,Guohua Zhao,Yen-Wei Chen

2024 IEEE International Conference on Consumer Electronics (ICCE)（2024）

Cited0Views0EIWOSBibtex

High-performance Presurgical Differentiation of Glioblastoma and Metastasis by Means of Multiparametric Neurite Orientation Dispersion and Density Imaging (NODDI) Radiomics

Jie Bai,Mengyang He,Eryuan Gao,Guang Yang,Chengxiu Zhang,Hongxi Yang,Jie Dong,Xiaoyue Ma,Yufei Gao,Huiting Zhang,Xu Yan,Yong Zhang,Jingliang Cheng,Guohua Zhao

European Radiology（2024）

Cited2Views0WOSBibtex

Multiple Diffusion Metrics in Differentiating Solid Glioma from Brain Inflammation

Kai Zhao,Ankang Gao,Eryuan Gao,Jinbo Qi, Ting Chen,Guohua Zhao, Gaoyang Zhao,Peipei Wang,Weijian Wang,Jie Bai,Yong Zhang,Huiting Zhang,Guang Yang,Xiaoyue Ma,Jingliang Cheng

FRONTIERS IN NEUROSCIENCE（2024）

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Knowledge Distillation Using Segment Anything to U-Net Model for Lightweight High Accuracy Medical Image Segmentation

Xiaoyu Shi,Yinhao Li,Jingliang Cheng,Jie Bai,Guohua Zhao,Yen-Wei Chen

2024 IEEE 13th Global Conference on Consumer Electronics (GCCE)（2024）

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Distributed Parameter Model of Dynamic Contrast-Enhanced MRI in the Identification of IDH Mutation, 1p19q Codeletion, and Tumor Cell Proliferation in Glioma Patients

Kai Zhao,Huiyu Huang,Eryuan Gao,Jinbo Qi, Ting Chen, Gaoyang Zhao,Guohua Zhao,Yu Zhang,Peipei Wang,Jie Bai,Yong Zhang,Zujun Hou,Jingliang Cheng,Xiaoyue Ma

FRONTIERS IN ONCOLOGY（2024）

Cited1Views0WOSBibtex

An Intra- and Inter-Modality Fusion Model with Invariant- and Specific-Constraints Using MR Images for Prediction of Glioma Isocitrate Dehydrogenase Mutation Status

Xiaoyu Shi,Yinhao Li,Yen-Wei Chen,Jingliang Cheng,Jie Bai,Guohua Zhao

Journal of Image and Graphicsno. 4 (2023): 321-329

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基于影像组学和多序列MRI的胶质瘤相关癫痫预测

YANG Hongxi,GAO Ankang,WANG Yida,BAI Jie, ZHANG Yong,CHENG Jingliang,YANG Guang

Chinese Journal of Medical Physicsno. 11 (2023)

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