百晓学者学者目录

葛宝

教授，陕西师范大学

精选作品

期刊论文

2026

Exploring ChatGPT's potential in dialogic teaching: A comparative neurocognitive study of AI and human instruction

Jiayue Zhang, Bochen Xu, Yiheng Liu, Wenqi CAI, Lanlan Wu, Senqing Qi, Yali Peng, Jingjing Yu, Taotao Long, Bao Ge

Acta Psychologica

DOI

2025

基于深度学习和功能磁共振影像的脑网络检测研究综述

孙晨静，冯茹苹，杨渊元，马思源，常雨昕，高洁，葛宝，赵世杰，李锦，强宁

《陕西师范大学学报(自然科学版)》

DOI

2025

3D masked autoencoder with spatiotemporal transformer for modeling of 4D fMRI data

Jie Gao, Bao Ge, Ning Qiang, Shijie Zhao

Medical Image Analysis

DOI

2024

Spatial-temporal convolutional attention for discovering and characterizing functional brain networks in task fMRI

Yiheng Liu, Enjie Ge, Zili Kang, Ning Qiang, Tianming Liu, Bao Ge

NeuroImage

DOI

2024

Brain Cortical Surface Can Predict Fiber Trajectories

Tianle Han, Yifan Lv, Mengshen He, Yiheng Liu, Tianming Liu, Bao Ge

IEEE International Symposium on Biomedical Imaging (ISBI)

DOI

2024

Investigation of the Effectiveness of Applying ChatGPT in Dialogic Teaching of Electronic Information Using Electroencephalography

Jiayue Zhang, Yiheng Liu, Wenqi Cai, Senqing Qi, Taotao Long, Bao Ge

International Conference on Computer Science and Technologies in Education (CSTE)

DOI

2024

Mapping dynamic spatial patterns of brain function with spatial-wise attention

Yiheng Liu, Enjie Ge, Mengshen He, Zhengliang Liu, Shijie Zhao, Xintao Hu, Ning Qiang, Dajiang Zhu, Tianming Liu, Bao Ge

Journal of Neural Engineering

DOI

2023

Functional brain network identification and fMRI augmentation using a VAE-GAN framework

Ning Qiang, Jie Gao, Qinglin Dong, Huiji Yue, Hongtao Liang, Lili Liu, Jingjing Yu, Jing Hu, Shu Zhang, Bao Ge, Yifei Sun, Zhengliang Liu, Tianming Liu, Jin Li, Hujie Song, Shijie Zhao

Computers in Biology and Medicine

DOI

2023

Multi-head attention-based masked sequence model for mapping functional brain networks

Mengshen He, Xiangyu Hou, Enjie Ge, Zhenwei Wang, Zili Kang, Ning Qiang, Xin Zhang, Bao Ge

Frontiers in Neuroscience

DOI

2023

Cerebral cortical regions always connect with each other via the shortest paths

Yifan Lv, Zili Kang, Tianle Han, Mengshen He, Ruhai Du, Tuo Zhang, Tianming Liu, Bao Ge

Cerebral Cortex

DOI

2023

Spatial-Temporal Convolutional Attention for Mapping Functional Brain Networks

Yiheng Liu, Enjie Ge, Ning Qiang, Tianming Liu, Bao Ge

IEEE International Symposium on Biomedical Imaging (ISBI)

DOI

2023

Brain Surface Can Predict Fiber Connections

Zili Kang, Yifan Lv, Mengshen He, Yiheng Liu, Tianming Liu, Bao Ge

IEEE International Symposium on Biomedical Imaging (ISBI)

DOI

2023

Accurate corresponding fiber tract segmentation via FiberGeoMap learner with application to autism

Zhenwei Wang, Mengshen He, Yifan Lv, Enjie Ge, Shu Zhang, Ning Qiang, Tianming Liu, Fan Zhang, Xiang Li, Bao Ge

Cerebral Cortex

DOI

2022

Learning brain representation using recurrent Wasserstein generative adversarial net

Ning Qiang, Qinglin Dong, Hongtao Liang, Jin Li, Shu Zhang, Cheng Zhang, Bao Ge, Yifei Sun, Jie Gao, Tianming Liu, Huiji Yue, Shijie Zhao

Computer Methods and Programs in Biomedicine

DOI

2022

A novel ADHD classification method based on resting state temporal templates (RSTT) using spatiotemporal attention auto-encoder

Ning Qiang, Qinglin Dong, Hongtao Liang, Bao Ge, Shu Zhang, Cheng Zhang, Jie Gao, Yifei Sun

Neural Computing and Applications

DOI

2022

Accurate Corresponding Fiber Tract Segmentation via FiberGeoMap Learner

Zhenwei Wang, Yifan Lv, Mengshen He, Enjie Ge, Ning Qiang, Bao Ge

Lecture notes in computer science

DOI

2022

Multi-head Attention-Based Masked Sequence Model for Mapping Functional Brain Networks

Mengshen He, Xiangyu Hou, Zhenwei Wang, Zili Kang, Xin Zhang, Ning Qiang, Bao Ge

Lecture notes in computer science

DOI

2021

Modeling and augmenting of fMRI data using deep recurrent variational auto-encoder

Ning Qiang, Qinglin Dong, Hongtao Liang, Bao Ge, Shu Zhang, Yifei Sun, Cheng Zhang, Wei Zhang, Jie Gao, Tianming Liu

Journal of Neural Engineering

DOI

2020

Modeling task-based fMRI data via deep belief network with neural architecture search

Ning Qiang, Qinglin Dong, Wei Zhang, Bao Ge, Fangfei Ge, Hongtao Liang, Yifei Sun, Jie Gao, Tianming Liu

Computerized Medical Imaging and Graphics

DOI

2020

Task fMRI Guided Fiber Clustering via a Deep Clustering Method

Huan Wang, Qinglin Dong, Ning Qiang, Xin Zhang, Tianming Liu, Bao Ge

IEEE International Symposium on Biomedical Imaging (ISBI)

DOI

2020

Deep Variational Autoencoder for Mapping Functional Brain Networks

Ning Qiang, Qinglin Dong, Fangfei Ge, Hongtao Liang, Bao Ge, Shu Zhang, Yifei Sun, Jie Gao, Tianming Liu

IEEE Transactions on Cognitive and Developmental Systems

DOI

2020

Deep Variational Autoencoder for Modeling Functional Brain Networks and ADHD Identification

Ning Qiang, Qinglin Dong, Yifei Sun, Bao Ge, Tianming Liu

IEEE International Symposium on Biomedical Imaging (ISBI)

DOI

2019

大脑神经纤维的自动聚类

葛宝

《西北工业大学出版社》

2019

Neural Architecture Search for Optimizing Deep Belief Network Models of fMRI Data

Ning Qiang, Bao Ge, Qinglin Dong, Fangfei Ge, Tianming Liu

Lecture notes in computer science

DOI

2019

Discovering and characterizing dynamic functional brain networks in task FMRI

Bao Ge, Huan Wang, Panpan Wang, Yin Tian, Xin Zhang, Tianming Liu

Brain Imaging and Behavior

DOI

2018

A Dictionary Learning Approach for Signal Sampling in Task-Based fMRI for Reduction of Big Data

Bao Ge, Xiang Li, Xi Jiang, Yifei Sun, Tianming Liu

Frontiers in Neuroinformatics

DOI

2016

Connectome-scale group-wise consistent resting-state network analysis in autism spectrum disorder

Yu Zhao, Hanbo Chen, Yujie Li, Jinglei Lv, Xi Jiang, Fangfei Ge, Tuo Zhang, Shu Zhang, Bao Ge, Cheng Lyu, Shijie Zhao, Junwei Han, Lei Guo, Tianming Liu

NeuroImage Clinical

DOI

2016

Exploring auditory network composition during free listening to audio excerpts via group-wise sparse representation

Shijie Zhao, Junwei Han, Xi Jiang, Xintao Hu, Jinglei Lv, Shu Zhang, Bao Ge, Lei Guo, Tianming Liu

IEEE International Conference on Multimedia and Expo (ICME)

DOI

2015

Signal sampling for efficient sparse representation of resting state FMRI data

Bao Ge, Milad Makkie, Jin Wang, Shijie Zhao, Xi Jiang, Xiang Li, Jinglei Lv, Shu Zhang, Wei Zhang, Junwei Han, Lei Guo, Tianming Liu

Brain Imaging and Behavior

DOI

2015

Supervised Dictionary Learning for Inferring Concurrent Brain Networks

Shijie Zhao, Junwei Han, Jinglei Lv, Xi Jiang, Xintao Hu, Yu Zhao, Bao Ge, Lei Guo, Tianming Liu

IEEE Transactions on Medical Imaging

DOI

2015

HAFNI-enabled largescale platform for neuroimaging informatics (HELPNI)

Milad Makkie, Shijie Zhao, Xi Jiang, Jinglei Lv, Yu Zhao, Bao Ge, Xiang Li, Junwei Han, Tianming Liu

Brain Informatics

DOI

2015

Construction of Multi-Scale Consistent Brain Networks: Methods and Applications

Bao Ge, Yin Tian, Xintao Hu, Hanbo Chen, Dajiang Zhu, Tuo Zhang, Junwei Han, Lei Guo, Tianming Liu

PLoS ONE

DOI

2015

Deriving ADHD biomarkers with sparse coding based network analysis

Fangfei Ge, Jinglei Lv, Xintao Hu, Bao Ge, Lei Guo, Junwei Han, Tianming Liu

IEEE International Symposium on Biomedical Imaging (ISBI)

DOI

2015

Multiscale and multimodal fusion of tract-tracing and DTI-derived fibers in macaque brains

Ke Jing, Tuo Zhang, Jianfeng Lu, Hanbo Chen, Xi Jiang, Lei Guo, Longchuan Li, Xiaoping Philip Hu, Jinglei Lv, Bao Ge, Tianming Liu

IEEE International Symposium on Biomedical Imaging (ISBI)

DOI

2015

Characterizing and differentiating task-based and resting state FMRI signals via two-stage dictionary learning

Shu Zhang, Xiang Li, Jinglei Lv, Xi Jiang, Bao Ge, Lei Guo, Tianming Liu

IEEE International Symposium on Biomedical Imaging (ISBI)

DOI

2015

Group-wise consistent sulcal fundi segmentation based on DMRI-derived ODF features

Tuo Zhang, Hanbo Chen, Xi Jiang, Bao Ge, Lei Guo, Tianming Liu

IEEE International Symposium on Biomedical Imaging (ISBI)

DOI

2015

Correction: Construction of Multi-Scale Consistent Brain Networks: Methods and Applications

Bao Ge, Yin Tian, Xin-Tao Hu, Han-Bo Chen, Da-Jiang Zhu, Tuo Zhang, Jun-Wei Han, Lei Guo, Tianming Liu

PLoS ONE

DOI

2013

Construction of Multi-scale Common Brain Networks Based on DICCCOL

Bao Ge, Lei Guo, Dajiang Zhu, Tuo Zhang, Xintao Hu, Junwei Han, Tianming Liu

Lecture notes in computer science

DOI

2013

Predicting Cortical ROIs via Joint Modeling of Anatomical and Connectional Profiles

Tuo Zhang, Da-Jiang Zhu, Xi Jiang, Bao Ge, Xin-Tao Hu, Jun-Wei Han, Lei Guo, Tianming Liu

Medical Image Anal.

DOI

2013

Construction of multi-scale brain networks via DICCCOL landmarks

Bao Ge, Lei Guo, Tuo Zhang, Da-Jiang Zhu, Xin-Tao Hu, Jun-Wei Han, Tianming Liu

IEEE International Symposium on Biomedical Imaging

DOI

2012

Resting State fMRI-guided Fiber Clustering: Methods and Applications

Bao Ge, Lei Guo, Tuo Zhang, Xin-Tao Hu, Jun-Wei Han, Tianming Liu

Neuroinformatics

DOI

2012

Group-Wise Consistent Fiber Clustering Based on Multimodal Connectional and Functional Profiles

Bao Ge, Lei Guo, Tuo Zhang, Da-Jiang Zhu, Kai-Ming Li, Xin-Tao Hu, Jun-Wei Han, Tianming Liu

International Conference on Medical Image Computing and Computer-Assisted Intervention

DOI

2011

Resting State fMRI-Guided Fiber Clustering

Bao Ge, Lei Guo, Jing-Lei Lv, Xin-Tao Hu, Jun-Wei Han, Tuo Zhang, Tianming Liu

International Conference on Medical Image Computing and Computer-Assisted Intervention

DOI

2010

Automatic clustering of white matter fibers based on symbolic sequence analysis

Bao Ge, Lei Guo, Kaiming Li, Hai Li, Carlos Faraco, Qun Chao Zhao, Stephen Miller, Tianming Liu

Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE

DOI

预印本

2025

Brain-Inspired Exploration of Functional Networks and Key Neurons in Large Language Models

Yiheng Liu, Liu, Zhengliang, Wu, Zihao, Ning, Junhao, Haiyang Sun, Xia, Sichen, Yang, Yang, Xiaohui Gao, Qiang, Ning, Bao Ge, Tianming Liu, Junwei Han, Xintao Hu

arXiv (Cornell University)

DOI

2022

Discovering Dynamic Functional Brain Networks via Spatial and Channel-wise Attention

Yiheng Liu, Enjie Ge, Mengshen He, Zhengliang Liu, Shijie Zhao, Xintao Hu, Dajiang Zhu, Tianming Liu, Bao Ge

arXiv (Cornell University)

DOI

书籍章节

2024

Deep learning in functional brain mapping and associated applications

Ning Qiang, Qinglin Dong, Heng Huang, Han Wang, Shijie Zhao, Xintao Hu, Qing Li, Wei Zhang, Yiheng Liu, Mengshen He, Bao Ge, Lin Zhao, Zihao Wu, Lu Zhang, Steven X. Xu, Dajiang Zhu, Xi Jiang, Tianming Liu

Elsevier eBooks

DOI

研究方向

神经影像与脑结构功能脑疾病、认知与教育研究影像方法

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