Bao Ge

According to our database, Bao Ge authored at least 43 papers between 2010 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of three.

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, February, 2024

Investigation of the effectiveness of applying ChatGPT in Dialogic Teaching Using Electroencephalography.

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

CoRR, 2024

Large Language Models for Robotics: Opportunities, Challenges, and Perspectives.

Jiaqi Wang, Zihao Wu, Yiwei Li, Hanqi Jiang, Peng Shu, Enze Shi, Huawen Hu, Chong Ma, Yiheng Liu, Xuhui Wang, Yincheng Yao, Xuan Liu, Huaqin Zhao, Zhengliang Liu, Haixing Dai, Lin Zhao, Bao Ge, Xiang Li, Tianming Liu, Shu Zhang

CoRR, 2024

Understanding LLMs: A Comprehensive Overview from Training to Inference.

Yiheng Liu, Hao He, Tianle Han, Xu Zhang, Mengyuan Liu, Jiaming Tian, Yutong Zhang, Jiaqi Wang, Xiaohui Gao, Tianyang Zhong, Yi Pan, Shaochen Xu, Zihao Wu, Zhengliang Liu, Xin Zhang, Shu Zhang, Xintao Hu, Tuo Zhang, Ning Qiang, Tianming Liu, Bao Ge

CoRR, 2024

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

Comput. Biol. Medicine, October, 2023

A two-phase projective dictionary pair learning-based classification scheme for positive and unlabeled learning.

Yijin Wang, Yali Peng, Shigang Liu, Bao Ge, Jun Li

Pattern Anal. Appl., August, 2023

A Multi-scale Dilated Residual Convolution Network for Image Denoising.

Xinlei Jia, Yali Peng, Bao Ge, Jun Li, Shigang Liu, Wenan Wang

Neural Process. Lett., April, 2023

Holistic Evaluation of GPT-4V for Biomedical Imaging.

Zhengliang Liu, Hanqi Jiang, Tianyang Zhong, Zihao Wu, Chong Ma, Yiwei Li, Xiaowei Yu, Yutong Zhang, Yi Pan, Peng Shu, Yanjun Lyu, Lu Zhang, Junjie Yao, Peixin Dong, Chao Cao, Zhenxiang Xiao, Jiaqi Wang, Huan Zhao, Shaochen Xu, Yaonai Wei, Jingyuan Chen, Haixing Dai, Peilong Wang, Hao He, Zewei Wang, Xinyu Wang, Xu Zhang, Lin Zhao, Yiheng Liu, Kai Zhang, Liheng Yan, Lichao Sun, Jun Liu, Ning Qiang, Bao Ge, Xiaoyan Cai, Shijie Zhao, Xintao Hu, Yixuan Yuan, Gang Li, Shu Zhang, Xin Zhang, Xi Jiang, Tuo Zhang, Dinggang Shen, Quanzheng Li, Wei Liu, Xiang Li, Dajiang Zhu, Tianming Liu

CoRR, 2023

Evaluating Large Language Models for Radiology Natural Language Processing.

Zhengliang Liu, Tianyang Zhong, Yiwei Li, Yutong Zhang, Yi Pan, Zihao Zhao, Peixin Dong, Chao Cao, Yuxiao Liu, Peng Shu, Yaonai Wei, Zihao Wu, Chong Ma, Jiaqi Wang, Sheng Wang, Mengyue Zhou, Zuowei Jiang, Chunlin Li, Jason Holmes, Shaochen Xu, Lu Zhang, Haixing Dai, Kai Zhang, Lin Zhao, Yuanhao Chen, Xu Liu, Peilong Wang, Pingkun Yan, Jun Liu, Bao Ge, Lichao Sun, Dajiang Zhu, Xiang Li, Wei Liu, Xiaoyan Cai, Xintao Hu, Xi Jiang, Shu Zhang, Xin Zhang, Tuo Zhang, Shijie Zhao, Quanzheng Li, Hongtu Zhu, Dinggang Shen, Tianming Liu

CoRR, 2023

Review of Large Vision Models and Visual Prompt Engineering.

Jiaqi Wang, Zhengliang Liu, Lin Zhao, Zihao Wu, Chong Ma, Sigang Yu, Haixing Dai, Qiushi Yang, Yiheng Liu, Songyao Zhang, Enze Shi, Yi Pan, Tuo Zhang, Dajiang Zhu, Xiang Li, Xi Jiang, Bao Ge, Yixuan Yuan, Dinggang Shen, Tianming Liu, Shu Zhang

CoRR, 2023

Exploring New Frontiers in Agricultural NLP: Investigating the Potential of Large Language Models for Food Applications.

Saed Rezayi, Zhengliang Liu, Zihao Wu, Chandra Dhakal, Bao Ge, Haixing Dai, Gengchen Mai, Ninghao Liu, Chen Zhen, Tianming Liu, Sheng Li

CoRR, 2023

Prompt Engineering for Healthcare: Methodologies and Applications.

Jiaqi Wang, Enze Shi, Sigang Yu, Zihao Wu, Chong Ma, Haixing Dai, Qiushi Yang, Yanqing Kang, Jinru Wu, Huawen Hu, Chenxi Yue, Haiyang Zhang, Yiheng Liu, Xiang Li, Bao Ge, Dajiang Zhu, Yixuan Yuan, Dinggang Shen, Tianming Liu, Shu Zhang

CoRR, 2023

Summary of ChatGPT/GPT-4 Research and Perspective Towards the Future of Large Language Models.

Yiheng Liu, Tianle Han, Siyuan Ma, Jiayue Zhang, Yuanyuan Yang, Jiaming Tian, Hao He, Antong Li, Mengshen He, Zhengliang Liu, Zihao Wu, Dajiang Zhu, Xiang Li, Ning Qiang, Dinggang Shen, Tianming Liu, Bao Ge

CoRR, 2023

Spatial-Temporal Convolutional Attention for Mapping Functional Brain Networks.

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

Proceedings of the 20th IEEE International Symposium on Biomedical Imaging, 2023

Brain Surface Can Predict Fiber Connections.

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

Proceedings of the 20th IEEE International Symposium on Biomedical Imaging, 2023

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 Comput. Appl., 2022

Dual-Complementary Convolution Network for Remote-Sensing Image Denoising.

Xinlei Jia, Yali Peng, Jun Li, Bao Ge, Yunhong Xin, Shigang Liu

IEEE Geosci. Remote. Sens. Lett., 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

CoRR, 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

Comput. Methods Programs Biomed., 2022

Accurate Corresponding Fiber Tract Segmentation via FiberGeoMap Learner.

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

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 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

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022

AgriBERT: Knowledge-Infused Agricultural Language Models for Matching Food and Nutrition.

Saed Rezayi, Zhengliang Liu, Zihao Wu, Chandra Dhakal, Bao Ge, Chen Zhen, Tianming Liu, Sheng Li

Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022

2021

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 Trans. Cogn. Dev. Syst., 2021

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

Comput. Medical Imaging Graph., 2020

Task fMRI Guided Fiber Clustering via a Deep Clustering Method.

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

Proceedings of the 17th IEEE International Symposium on Biomedical Imaging, 2020

Deep Variational Autoencoder for Modeling Functional Brain Networks and ADHD Identification.

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

Proceedings of the 17th IEEE International Symposium on Biomedical Imaging, 2020

2019

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

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

Proceedings of the Multiscale Multimodal Medical Imaging - First International Workshop, 2019

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 Neuroinformatics, 2018

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

Proceedings of the IEEE International Conference on Multimedia and Expo, 2016

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 Trans. Medical Imaging, 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, 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

Proceedings of the 12th IEEE International Symposium on Biomedical Imaging, 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

Proceedings of the 12th IEEE International Symposium on Biomedical Imaging, 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 Hu, Jinglei Lv, Bao Ge, Tianming Liu

Proceedings of the 12th IEEE International Symposium on Biomedical Imaging, 2015

Signal sampling for efficient sparse representation of resting state FMRI data.

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

Proceedings of the 12th IEEE International Symposium on Biomedical Imaging, 2015

Deriving ADHD biomarkers with sparse coding based network analysis.

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

Proceedings of the 12th IEEE International Symposium on Biomedical Imaging, 2015

2013

Resting State fMRI-guided Fiber Clustering: Methods and Applications.

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

Neuroinformatics, 2013

Predicting cortical ROIs via joint modeling of anatomical and connectional profiles.

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

Medical Image Anal., 2013

Construction of multi-scale brain networks via DICCCOL landmarks.

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

Proceedings of the 10th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 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

Proceedings of the Information Processing in Medical Imaging, 2013

2012

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

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

Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2012, 2012

2011

Resting State fMRI-Guided Fiber Clustering.

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

Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2011, 2011

2010

Automatic clustering of white matter fibers based on symbolic sequence analysis.

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

Proceedings of the Medical Imaging 2010: Image Processing, 2010