| Summary of chatgpt-related research and perspective towards the future of large language models Y Liu, T Han, S Ma, J Zhang, Y Yang, J Tian, H He, A Li, M He, Z Liu, Z Wu, ... Meta-Radiology, 100017, 2023 | 455 | 2023 |
| Supervised dictionary learning for inferring concurrent brain networks S Zhao, J Han, J Lv, X Jiang, X Hu, Y Zhao, B Ge, L Guo, T Liu IEEE transactions on medical imaging 34 (10), 2036-2045, 2015 | 81 | 2015 |
| Rapid adsorption and photocatalytic activity for Rhodamine B and Cr (VI) by ultrathin BiOI nanosheets with highly exposed {001} facets J Han, G Zhu, M Hojamberdiev, J Peng, X Zhang, Y Liu, B Ge, P Liu New Journal of Chemistry 39 (3), 1874-1882, 2015 | 78 | 2015 |
| Prompt engineering for healthcare: Methodologies and applications J Wang, E Shi, S Yu, Z Wu, C Ma, H Dai, Q Yang, Y Kang, J Wu, H Hu, ... arXiv preprint arXiv:2304.14670, 2023 | 55 | 2023 |
| Review of large vision models and visual prompt engineering J Wang, Z Liu, L Zhao, Z Wu, C Ma, S Yu, H Dai, Q Yang, Y Liu, S Zhang, ... Meta-Radiology, 100047, 2023 | 48 | 2023 |
| Connectome-scale group-wise consistent resting-state network analysis in autism spectrum disorder Y Zhao, H Chen, Y Li, J Lv, X Jiang, F Ge, T Zhang, S Zhang, B Ge, C Lyu, ... NeuroImage: Clinical 12, 23-33, 2016 | 31 | 2016 |
| Survey on natural language processing in medical image analysis. Z Liu, M He, Z Jiang, Z Wu, H Dai, L Zhang, S Luo, T Han, X Li, X Jiang, ... Zhong nan da xue xue bao. Yi xue ban= Journal of Central South University …, 2022 | 30 | 2022 |
| Modeling task-based fMRI data via deep belief network with neural architecture search N Qiang, Q Dong, W Zhang, B Ge, F Ge, H Liang, Y Sun, J Gao, T Liu Computerized Medical Imaging and Graphics 83, 101747, 2020 | 30 | 2020 |
| AgriBERT: Knowledge-Infused Agricultural Language Models for Matching Food and Nutrition. S Rezayi, Z Liu, Z Wu, C Dhakal, B Ge, C Zhen, T Liu, S Li IJCAI, 5150-5156, 2022 | 28 | 2022 |
| Synthesis RMn2O5 (R= Gd and Sm) nano-and microstructures by a simple hydrothermal method G Zhu, P Liu, M Hojamberdiev, B Ge, Y Liu, H Miao, G Tan Materials Chemistry and Physics 118 (2-3), 467-472, 2009 | 25 | 2009 |
| Deep variational autoencoder for mapping functional brain networks N Qiang, Q Dong, F Ge, H Liang, B Ge, S Zhang, Y Sun, J Gao, T Liu IEEE Transactions on Cognitive and Developmental Systems 13 (4), 841-852, 2020 | 24 | 2020 |
| Modeling and augmenting of fMRI data using deep recurrent variational auto-encoder N Qiang, Q Dong, H Liang, B Ge, S Zhang, Y Sun, C Zhang, W Zhang, ... Journal of neural engineering 18 (4), 0460b6, 2021 | 18 | 2021 |
| Signal sampling for efficient sparse representation of resting state FMRI data B Ge, M Makkie, J Wang, S Zhao, X Jiang, X Li, J Lv, S Zhang, W Zhang, ... Brain imaging and behavior 10, 1206-1222, 2016 | 18 | 2016 |
| Resting state fMRI-guided fiber clustering: methods and applications B Ge, L Guo, T Zhang, X Hu, J Han, T Liu Neuroinformatics 11, 119-133, 2013 | 18 | 2013 |
| A novel ADHD classification method based on resting state temporal templates (RSTT) using spatiotemporal attention auto-encoder N Qiang, Q Dong, H Liang, B Ge, S Zhang, C Zhang, J Gao, Y Sun Neural Computing and Applications 34 (10), 7815-7833, 2022 | 17 | 2022 |
| HAFNI-enabled largescale platform for neuroimaging informatics (HELPNI) M Makkie, S Zhao, X Jiang, J Lv, Y Zhao, B Ge, X Li, J Han, T Liu Brain informatics 2, 225-238, 2015 | 17 | 2015 |
| Exploring new frontiers in agricultural nlp: Investigating the potential of large language models for food applications S Rezayi, Z Liu, Z Wu, C Dhakal, B Ge, H Dai, G Mai, N Liu, C Zhen, T Liu, ... arXiv preprint arXiv:2306.11892, 2023 | 16 | 2023 |
| deep variational autoencoder for modeling functional brain networks and ADHD identification N Qiang, Q Dong, Y Sun, B Ge, T Liu 2020 IEEE 17th International Symposium on Biomedical Imaging (ISBI), 554-557, 2020 | 14 | 2020 |
| A deep learning method for autism spectrum disorder identification based on interactions of hierarchical brain networks N Qiang, J Gao, Q Dong, J Li, S Zhang, H Liang, Y Sun, B Ge, Z Liu, Z Wu, ... Behavioural Brain Research 452, 114603, 2023 | 13 | 2023 |
| Neural architecture search for optimizing deep belief network models of fMRI data N Qiang, B Ge, Q Dong, F Ge, T Liu Multiscale Multimodal Medical Imaging: First International Workshop, MMMI …, 2020 | 13 | 2020 |
Tianming LiuDistinguished Research Professor of Computer Science, University of GeorgiaVerified email at cs.uga.edu
