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ORCIDTianming Liu 0001
Person information
- affiliation: University of Georgia, Department of Computer Science, Bioimaging Research Center, Athens, GA, USA
- affiliation (2007 - 2008): Cornell University, Weill Medical College, Ithaca, NY, USA
- affiliation (2005 - 2007): Harvard Medical School, Center for Bioinformatics, Boston, MA, USA
- affiliation (2002 - 2004): University of Pennsylvania, Department of Radiology, Philadelphia, PA, USA
- affiliation (PhD 2002): Shanghai Jiaotong University, Department of Computer Science and Engineering, Shanghai, China
Other persons with the same name
- Tianming Liu — disambiguation page
- Tianming Liu 0002
![[0000-0002-5216-933X]](https://dblp.dagstuhl.de/img/orcid-mark.12x12.png "0000-0002-5216-933X")
— Monash University, Melbourne, Australia - Tianming Liu 0003 — Harbin Institute of Technology, School of Computer Science and Technology, Harbin, China
- Tianming Liu 0004 — University of Chinese Academy of Sciences, Shenyang Institute of Computing Technology, Shenyang, China
- Tianming Liu 0005 — Dalian Polytechnic University, School of Information Science and Engineering, Dalian, China
Other persons with a similar name
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2020 – today
- 2025
[j145]Lu Zhang, Zhengwang Wu, Xiaowei Yu, Yanjun Lyu, Zihao Wu, Haixing Dai, Lin Zhao, Li Wang, Gang Li, Xianqiao Wang, Tianming Liu, Dajiang Zhu:
Learning lifespan brain anatomical correspondence via cortical developmental continuity transfer. Medical Image Anal. 99: 103328 (2025)- 2024
- [j144]Zhenxiang Xiao, Liang He, Boyu Zhao, Mingxin Jiang, Wei Mao, Yuzhong Chen, Tuo Zhang, Xintao Hu, Tianming Liu, Xi Jiang:
Regularity and variability of functional brain connectivity characteristics between gyri and sulci under naturalistic stimulus. Comput. Biol. Medicine 168: 107747 (2024) - [j143]Xiao Yang, Haixing Dai, Zihao Wu, Ramesh Bist, Sachin Subedi, Jin Sun, Guoyu Lu, Changying Li, Tianming Liu, Lilong Chai:
An innovative segment anything model for precision poultry monitoring. Comput. Electron. Agric. 222: 109045 (2024) - [j142]Xiao Yang, Ramesh Bahadur Bist, Bidur Paneru, Tianming Liu, Todd Applegate, Casey Ritz, Woo Kim, Prafulla Regmi, Lilong Chai:
Computer Vision-Based cybernetics systems for promoting modern poultry Farming: A critical review. Comput. Electron. Agric. 225: 109339 (2024) - [j141]Mahtab Saeidifar, Guoming Li, Lilong Chai, Ramesh Bist, Khaled M. Rasheed, Jin Lu, Ahmad Banakar, Tianming Liu, Xiao Yang:
Zero-shot image segmentation for monitoring thermal conditions of individual cage-free laying hens. Comput. Electron. Agric. 226: 109436 (2024) - [j140]Wenxiong Liao, Zhengliang Liu, Haixing Dai, Zihao Wu, Yiyang Zhang, Xiaoke Huang, Yuzhong Chen, Xi Jiang, David Liu, Dajiang Zhu, Sheng Li, Wei Liu, Tianming Liu, Quanzheng Li, Hongmin Cai, Xiang Li:
Mask-guided BERT for few-shot text classification. Neurocomputing 610: 128576 (2024) - [j139]Zhenxiang Xiao, Yuzhong Chen, Junjie Yao, Lu Zhang, Zhengliang Liu, Zihao Wu, Xiaowei Yu, Yi Pan, Lin Zhao, Chong Ma, Xinyu Liu, Wei Liu, Xiang Li, Yixuan Yuan, Dinggang Shen, Dajiang Zhu, Dezhong Yao, Tianming Liu, Xi Jiang:
Instruction-ViT: Multi-modal prompts for instruction learning in vision transformer. Inf. Fusion 104: 102204 (2024) - [j138]Wenxiong Liao, Zhengliang Liu, Yiyang Zhang, Xiaoke Huang, Ninghao Liu, Tianming Liu, Quanzheng Li, Xiang Li, Hongmin Cai:
Zero-shot relation triplet extraction as Next-Sentence Prediction. Knowl. Based Syst. 304: 112507 (2024) - [j137]Shijie Zhao, Long Fang, Yang Yang, Guochang Tang, Guoxin Luo, Junwei Han, Tianming Liu, Xintao Hu:
Task sub-type states decoding via group deep bidirectional recurrent neural network. Medical Image Anal. 94: 103136 (2024) - [j136]Wenting Chen, Wei Zhao, Zhen Chen, Tianming Liu, Li Liu, Jun Liu, Yixuan Yuan:
Mask-aware transformer with structure invariant loss for CT translation. Medical Image Anal. 96: 103205 (2024) - [j135]Cheng Chen, Juzheng Miao, Dufan Wu, Aoxiao Zhong, Zhiling Yan, Sekeun Kim, Jiang Hu, Zhengliang Liu, Lichao Sun, Xiang Li, Tianming Liu, Pheng-Ann Heng, Quanzheng Li:
MA-SAM: Modality-agnostic SAM adaptation for 3D medical image segmentation. Medical Image Anal. 98: 103310 (2024) - [j134]Yiheng Liu, Enjie Ge, Zili Kang, Ning Qiang, Tianming Liu, Bao Ge:
Spatial-temporal convolutional attention for discovering and characterizing functional brain networks in task fMRI. NeuroImage 287: 120519 (2024) - [j133]Jingchao Zhou, Yuzhong Chen, Xuewei Jin, Wei Mao, Zhenxiang Xiao, Songyao Zhang, Tuo Zhang, Tianming Liu, Keith M. Kendrick, Xi Jiang:
Fusing multi-scale functional connectivity patterns via Multi-Branch Vision Transformer (MB-ViT) for macaque brain age prediction. Neural Networks 179: 106592 (2024) - [j132]Xia-an Bi, YangJun Huang, Zicheng Yang, Ke Chen, Zhao-Xu Xing, Luyun Xu, Xiang Li, Zhengliang Liu, Tianming Liu:
Structure Mapping Generative Adversarial Network for Multi-View Information Mapping Pattern Mining. IEEE Trans. Pattern Anal. Mach. Intell. 46(4): 2252-2266 (2024) - [j131]Chong Ma, Zihao Wu, Jiaqi Wang, Shaochen Xu, Yaonai Wei, Zhengliang Liu, Fang Zeng, Xi Jiang, Lei Guo, Xiaoyan Cai, Shu Zhang, Tuo Zhang, Dajiang Zhu, Dinggang Shen, Tianming Liu, Xiang Li:
An Iterative Optimizing Framework for Radiology Report Summarization With ChatGPT. IEEE Trans. Artif. Intell. 5(8): 4163-4175 (2024) - [j130]Lin Zhao, Haixing Dai, Zihao Wu, Zhenxiang Xiao, Lu Zhang, David Weizhong Liu, Xintao Hu, Xi Jiang, Sheng Li, Dajiang Zhu, Tianming Liu:
Coupling Visual Semantics of Artificial Neural Networks and Human Brain Function via Synchronized Activations. IEEE Trans. Cogn. Dev. Syst. 16(2): 584-594 (2024) - [j129]Enze Shi, Sigang Yu, Yanqing Kang, Jinru Wu, Lin Zhao, Dajiang Zhu, Jinglei Lv, Tianming Liu, Xintao Hu, Shu Zhang:
MEET: A Multi-Band EEG Transformer for Brain States Decoding. IEEE Trans. Biomed. Eng. 71(5): 1442-1453 (2024) - [j128]Wenjian Qin, Tianming Liu, Fa Zhang:
Guest Editorial Computational Mathematics Modeling in Cancer Analysis. IEEE J. Biomed. Health Informatics 28(1): 4-6 (2024) - [j127]Wei Mao, Yuzhong Chen, Zhibin He, Zifan Wang, Zhenxiang Xiao, Yusong Sun, Liang He, Jingchao Zhou, Weitong Guo, Chong Ma, Lin Zhao, Keith M. Kendrick, Bo Zhou, Benjamin Becker, Tianming Liu, Tuo Zhang, Xi Jiang:
Brain Structural Connectivity Guided Vision Transformers for Identification of Functional Connectivity Characteristics in Preterm Neonates. IEEE J. Biomed. Health Informatics 28(4): 2223-2234 (2024) - [j126]Xia-An Bi, Zicheng Yang, YangJun Huang, Zhao-Xu Xing, Luyun Xu, Zihao Wu, Zhengliang Liu, Xiang Li, Tianming Liu:
CE-GAN: Community Evolutionary Generative Adversarial Network for Alzheimer's Disease Risk Prediction. IEEE Trans. Medical Imaging 43(11): 3663-3675 (2024) - [j125]Heng Huang, Lin Zhao, Haixing Dai, Lu Zhang, Xintao Hu, Dajiang Zhu, Tianming Liu:
BI-AVAN: A Brain-Inspired Adversarial Visual Attention Network for Characterizing Human Visual Attention From Neural Activity. IEEE Trans. Multim. 26: 11191-11203 (2024) - [j124]Tianming Liu, Dajiang Zhu, Fei Wang, Islem Rekik, Xia Ben Hu, Dinggang Shen:
Editorial Special Issue on Explainable and Generalizable Deep Learning for Medical Imaging. IEEE Trans. Neural Networks Learn. Syst. 35(6): 7271-7274 (2024) - [j123]Gengchen Mai, Weiming Huang, Jin Sun, Suhang Song, Deepak Mishra, Ninghao Liu, Song Gao, Tianming Liu, Gao Cong, Yingjie Hu, Chris Cundy, Ziyuan Li, Rui Zhu, Ni Lao:
On the Opportunities and Challenges of Foundation Models for GeoAI (Vision Paper). ACM Trans. Spatial Algorithms Syst. 10(2): 11 (2024) - [c236]Yue Huang, Lichao Sun, Haoran Wang, Siyuan Wu, Qihui Zhang, Yuan Li, Chujie Gao, Yixin Huang, Wenhan Lyu, Yixuan Zhang, Xiner Li, Hanchi Sun, Zhengliang Liu, Yixin Liu, Yijue Wang, Zhikun Zhang, Bertie Vidgen, Bhavya Kailkhura, Caiming Xiong, Chaowei Xiao, Chunyuan Li, Eric P. Xing, Furong Huang, Hao Liu, Heng Ji, Hongyi Wang, Huan Zhang, Huaxiu Yao, Manolis Kellis, Marinka Zitnik, Meng Jiang, Mohit Bansal, James Zou, Jian Pei, Jian Liu, Jianfeng Gao, Jiawei Han, Jieyu Zhao, Jiliang Tang, Jindong Wang, Joaquin Vanschoren, John C. Mitchell, Kai Shu, Kaidi Xu, Kai-Wei Chang, Lifang He, Lifu Huang, Michael Backes, Neil Zhenqiang Gong, Philip S. Yu, Pin-Yu Chen, Quanquan Gu, Ran Xu, Rex Ying, Shuiwang Ji, Suman Jana, Tianlong Chen, Tianming Liu, Tianyi Zhou, William Wang, Xiang Li, Xiangliang Zhang, Xiao Wang, Xing Xie, Xun Chen, Xuyu Wang, Yan Liu, Yanfang Ye, Yinzhi Cao, Yong Chen, Yue Zhao:
Position: TrustLLM: Trustworthiness in Large Language Models. ICML 2024 - [c235]Chao Cao, Xiaowei Yu, Lu Zhang, Tong Chen, Yanjun Lyu, Tianming Liu, Dajiang Zhu:
Enhancing Group-Wise Consistency in 3-Hinge Gyrus Matching Via Anatomical Embedding and Structural Connectivity Optimization. ISBI 2024: 1-5 - [c234]Tianle Han, Yifan Lv, Mengshen He, Yiheng Liu, Tianming Liu, Bao Ge:
Brain Cortical Surface Can Predict Fiber Trajectories. ISBI 2024: 1-4 - [c233]Yanjun Lyu, Lu Zhang, Xiaowei Yu, Chao Cao, Tianming Liu, Dajiang Zhu:
Mild Cognitive Impairment Classification Using A Novel Finer-Scale Brain Connectome. ISBI 2024: 1-5 - [c232]Chao Wang, Tianming Liu, Yanjie Zhao, Lin Zhang, Xiaoning Du, Li Li, Haoyu Wang:
Towards Demystifying Android Adware: Dataset and Payload Location. ASE Workshops 2024: 167-175 - [c231]Qing Xiao, Siyeop Yoon, Hui Ren, Matthew Tivnan, Lichao Sun, Quanzheng Li, Tianming Liu, Yu Zhang, Xiang Li:
Conditional Score-Based Diffusion Model for Cortical Thickness Trajectory Prediction. MICCAI (2) 2024: 78-87 - [c230]Li Yang, Zhibin He, Tianyang Zhong, Changhe Li, Dajiang Zhu, Junwei Han, Tianming Liu, Tuo Zhang:
Brain Cortical Functional Gradients Predict Cortical Folding Patterns via Attention Mesh Convolution. MICCAI (7) 2024: 140-149 - [c229]Xiaowei Yu, Lu Zhang, Chao Cao, Tong Chen, Yanjun Lyu, Jing Zhang, Tianming Liu, Dajiang Zhu:
Gyri vs. Sulci: Core-Periphery Organization in Functional Brain Networks. MICCAI (12) 2024: 164-174 - [c228]Zhuoyi Li, Wenjun Li, Ning Zhu, Junwei Han, Tianming Liu, Beibei Chen, Zhiqiang Yan, Tuo Zhang:
Epileptic Seizure Detection in SEEG Signals Using a Unified Multi-Scale Temporal-Spatial-Spectral Transformer Model. MICCAI (11) 2024: 254-264 - [c227]Zhibin He, Wuyang Li, Yu Jiang, Zhihao Peng, Pengyu Wang, Xiang Li, Tianming Liu, Junwei Han, Tuo Zhang, Yixuan Yuan:
F2TNet: FMRI to T1w MRI Knowledge Transfer Network for Brain Multi-phenotype Prediction. MICCAI (11) 2024: 265-275 - [i101]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:
Understanding LLMs: A Comprehensive Overview from Training to Inference. CoRR abs/2401.02038 (2024) - [i100]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:
Large Language Models for Robotics: Opportunities, Challenges, and Perspectives. CoRR abs/2401.04334 (2024) - [i99]Lichao Sun, Yue Huang, Haoran Wang, Siyuan Wu, Qihui Zhang, Chujie Gao, Yixin Huang, Wenhan Lyu, Yixuan Zhang, Xiner Li, Zhengliang Liu, Yixin Liu, Yijue Wang, Zhikun Zhang, Bhavya Kailkhura, Caiming Xiong, Chaowei Xiao, Chunyuan Li, Eric P. Xing, Furong Huang, Hao Liu, Heng Ji, Hongyi Wang, Huan Zhang, Huaxiu Yao, Manolis Kellis, Marinka Zitnik, Meng Jiang, Mohit Bansal, James Zou, Jian Pei, Jian Liu, Jianfeng Gao, Jiawei Han, Jieyu Zhao, Jiliang Tang, Jindong Wang, John C. Mitchell, Kai Shu, Kaidi Xu, Kai-Wei Chang, Lifang He, Lifu Huang, Michael Backes, Neil Zhenqiang Gong, Philip S. Yu, Pin-Yu Chen, Quanquan Gu, Ran Xu, Rex Ying, Shuiwang Ji, Suman Jana, Tianlong Chen, Tianming Liu, Tianyi Zhou, William Wang, Xiang Li, Xiangliang Zhang, Xiao Wang, Xing Xie, Xun Chen, Xuyu Wang, Yan Liu, Yanfang Ye, Yinzhi Cao, Yue Zhao:
TrustLLM: Trustworthiness in Large Language Models. CoRR abs/2401.05561 (2024) - [i98]Zhengliang Liu, Jason Holmes, Wenxiong Liao, Chenbin Liu, Lian Zhang, Hongying Feng, Peilong Wang, Muhammad Ali Elahi, Hongmin Cai, Lichao Sun, Quanzheng Li, Xiang Li, Tianming Liu, Jiajian Shen, Wei Liu:
The Radiation Oncology NLP Database. CoRR abs/2401.10995 (2024) - [i97]Huaqin Zhao, Zhengliang Liu, Zihao Wu, Yiwei Li, Tianze Yang, Peng Shu, Shaochen Xu, Haixing Dai, Lin Zhao, Gengchen Mai, Ninghao Liu, Tianming Liu:
Revolutionizing Finance with LLMs: An Overview of Applications and Insights. CoRR abs/2401.11641 (2024) - [i96]Jie Tian, Jixin Hou, Zihao Wu, Peng Shu, Zhengliang Liu, Yujie Xiang, Beikang Gu, Nicholas Filla, Yiwei Li, Ning Liu, Xianyan Chen, Keke Tang, Tianming Liu, Xianqiao Wang:
Assessing Large Language Models in Mechanical Engineering Education: A Study on Mechanics-Focused Conceptual Understanding. CoRR abs/2401.12983 (2024) - [i95]Peng Shu, Huaqin Zhao, Hanqi Jiang, Yiwei Li, Shaochen Xu, Yi Pan, Zihao Wu, Zhengliang Liu, Guoyu Lu, Le Guan, Gong Chen, Xianqiao Wang, Tianming Liu:
LLMs for Coding and Robotics Education. CoRR abs/2402.06116 (2024) - [i94]Shaochen Xu, Zihao Wu, Huaqin Zhao, Peng Shu, Zhengliang Liu, Wenxiong Liao, Sheng Li, Andrea Sikora, Tianming Liu, Xiang Li:
Reasoning before Comparison: LLM-Enhanced Semantic Similarity Metrics for Domain Specialized Text Analysis. CoRR abs/2402.11398 (2024) - [i93]Qing Xiao, Siyeop Yoon, Hui Ren, Matthew Tivnan, Lichao Sun, Quanzheng Li, Tianming Liu, Yu Zhang, Xiang Li:
Conditional Score-Based Diffusion Model for Cortical Thickness Trajectory Prediction. CoRR abs/2403.06940 (2024) - [i92]Xuansheng Wu, Haiyan Zhao, Yaochen Zhu, Yucheng Shi, Fan Yang, Tianming Liu, Xiaoming Zhai, Wenlin Yao, Jundong Li, Mengnan Du, Ninghao Liu:
Usable XAI: 10 Strategies Towards Exploiting Explainability in the LLM Era. CoRR abs/2403.08946 (2024) - [i91]Yiwei Li, Zihao Wu, Huaqin Zhao, Tianze Yang, Zhengliang Liu, Peng Shu, Jin Sun, Ramviyas Parasuraman, Tianming Liu:
ALDM-Grasping: Diffusion-aided Zero-Shot Sim-to-Real Transfer for Robot Grasping. CoRR abs/2403.11459 (2024) - [i90]Chong Ma, Hanqi Jiang, Wenting Chen, Zihao Wu, Xiaowei Yu, Fang Zeng, Lei Guo, Dajiang Zhu, Tuo Zhang, Dinggang Shen, Tianming Liu, Xiang Li:
Eye-gaze Guided Multi-modal Alignment Framework for Radiology. CoRR abs/2403.12416 (2024) - [i89]Yutong Zhang, Yi Pan, Tianyang Zhong, Peixin Dong, Kangni Xie, Yuxiao Liu, Hanqi Jiang, Zhengliang Liu, Shijie Zhao, Tuo Zhang, Xi Jiang, Dinggang Shen, Tianming Liu, Xin Zhang:
Potential of Multimodal Large Language Models for Data Mining of Medical Images and Free-text Reports. CoRR abs/2407.05758 (2024) - [i88]Heng Huang, Lin Zhao, Zihao Wu, Xiaowei Yu, Jing Zhang, Xintao Hu, Dajiang Zhu, Tianming Liu:
Brain Dialogue Interface (BDI): A User-Friendly fMRI Model for Interactive Brain Decoding. CoRR abs/2407.09509 (2024) - [i87]Jiaqi Wang, Hanqi Jiang, Yiheng Liu, Chong Ma, Xu Zhang, Yi Pan, Mengyuan Liu, Peiran Gu, Sichen Xia, Wenjun Li, Yutong Zhang, Zihao Wu, Zhengliang Liu, Tianyang Zhong, Bao Ge, Tuo Zhang, Ning Qiang, Xintao Hu, Xi Jiang, Xin Zhang, Wei Zhang, Dinggang Shen, Tianming Liu, Shu Zhang:
A Comprehensive Review of Multimodal Large Language Models: Performance and Challenges Across Different Tasks. CoRR abs/2408.01319 (2024) - [i86]Zhiling Yan, Weixiang Sun, Rong Zhou, Zhengqing Yuan, Kai Zhang, Yiwei Li, Tianming Liu, Quanzheng Li, Xiang Li, Lifang He, Lichao Sun:
Biomedical SAM 2: Segment Anything in Biomedical Images and Videos. CoRR abs/2408.03286 (2024) - [i85]Zhenyuan Yang, Xuhui Lin, Qinyi He, Ziye Huang, Zhengliang Liu, Hanqi Jiang, Peng Shu, Zihao Wu, Yiwei Li, Stephen Law, Gengchen Mai, Tianming Liu, Tao Yang:
Examining the Commitments and Difficulties Inherent in Multimodal Foundation Models for Street View Imagery. CoRR abs/2408.12821 (2024) - [i84]Jixin Hou, Zhengwang Wu, Xianyan Chen, Dajiang Zhu, Tianming Liu, Gang Li, Xianqiao Wang:
Role of Data-driven Regional Growth Model in Shaping Brain Folding Patterns. CoRR abs/2408.17334 (2024) - [i83]Zhengliang Liu, Yiwei Li, Oleksandra Zolotarevych, Rongwei Yang, Tianming Liu:
LLM-POTUS Score: A Framework of Analyzing Presidential Debates with Large Language Models. CoRR abs/2409.08147 (2024) - [i82]Wenjun Li, Ying Cai, Ziyang Wu, Wenyi Zhang, Yifan Chen, Rundong Qi, Mengqi Dong, Peigen Chen, Xiao Dong, Fenghao Shi, Lei Guo, Junwei Han, Bao Ge, Tianming Liu, Lin Gan, Tuo Zhang:
A Survey of Foundation Models for Music Understanding. CoRR abs/2409.09601 (2024) - [i81]Yanjun Lyu, Zihao Wu, Lu Zhang, Jing Zhang, Yiwei Li, Wei Ruan, Zhengliang Liu, Xiaowei Yu, Chao Cao, Tong Chen, Minheng Chen, Yan Zhuang, Xiang Li, Rongjie Liu, Chao Huang, Wentao Li, Tianming Liu, Dajiang Zhu:
GP-GPT: Large Language Model for Gene-Phenotype Mapping. CoRR abs/2409.09825 (2024) - [i80]Huawen Hu, Enze Shi, Chenxi Yue, Shuocun Yang, Zihao Wu, Yiwei Li, Tianyang Zhong, Tuo Zhang, Tianming Liu, Shu Zhang:
HARP: Human-Assisted Regrouping with Permutation Invariant Critic for Multi-Agent Reinforcement Learning. CoRR abs/2409.11741 (2024) - [i79]Tianyang Zhong, Zhengliang Liu, Yi Pan, Yutong Zhang, Yifan Zhou, Shizhe Liang, Zihao Wu, Yanjun Lyu, Peng Shu, Xiaowei Yu, Chao Cao, Hanqi Jiang, Hanxu Chen, Yiwei Li, Junhao Chen, Huawen Hu, Yihen Liu, Huaqin Zhao, Shaochen Xu, Haixing Dai, Lin Zhao, Ruidong Zhang, Wei Zhao, Zhenyuan Yang, Jingyuan Chen, Peilong Wang, Wei Ruan, Hui Wang, Huan Zhao, Jing Zhang, Yiming Ren, Shihuan Qin, Tong Chen, Jiaxi Li, Arif Hassan Zidan, Afrar Jahin, Minheng Chen, Sichen Xia, Jason Holmes, Yan Zhuang, Jiaqi Wang, Bochen Xu, Weiran Xia, Jichao Yu, Kaibo Tang, Yaxuan Yang, Bolun Sun, Tao Yang, Guoyu Lu, Xianqiao Wang, Lilong Chai, He Li, Jin Lu, Lichao Sun, Xin Zhang, Bao Ge, Xintao Hu, Lian Zhang, Hua Zhou, Lu Zhang, Shu Zhang, Ninghao Liu, Bei Jiang, Linglong Kong, Zhen Xiang, Yudan Ren, Jun Liu, Xi Jiang, Yu Bao, Wei Zhang, Xiang Li, Gang Li, Wei Liu, Dinggang Shen, Andrea Sikora, Xiaoming Zhai, Dajiang Zhu, Tianming Liu:
Evaluation of OpenAI o1: Opportunities and Challenges of AGI. CoRR abs/2409.18486 (2024) - [i78]Hao Chen, Wei Zhao, Yingli Li, Tianyang Zhong, Yisong Wang, Youlan Shang, Lei Guo, Junwei Han, Tianming Liu, Jun Liu, Tuo Zhang:
3D-CT-GPT: Generating 3D Radiology Reports through Integration of Large Vision-Language Models. CoRR abs/2409.19330 (2024) - [i77]Yiwei Li, Sekeun Kim, Zihao Wu, Hanqi Jiang, Yi Pan, Pengfei Jin, Sifan Song, Yucheng Shi, Tianming Liu, Quanzheng Li, Xiang Li:
ECHOPulse: ECG controlled echocardio-grams video generation. CoRR abs/2410.03143 (2024) - [i76]Yi Pan, Hanqi Jiang, Junhao Chen, Yiwei Li, Huaqin Zhao, Yifan Zhou, Peng Shu, Zihao Wu, Zhengliang Liu, Dajiang Zhu, Xiang Li, Yohannes Abate, Tianming Liu:
EG-SpikeFormer: Eye-Gaze Guided Transformer on Spiking Neural Networks for Medical Image Analysis. CoRR abs/2410.09674 (2024) - [i75]Pengfei Jin, Peng Shu, Sekeun Kim, Qing Xiao, Sifan Song, Cheng Chen, Tianming Liu, Xiang Li, Quanzheng Li:
Retrieval Instead of Fine-tuning: A Retrieval-based Parameter Ensemble for Zero-shot Learning. CoRR abs/2410.09908 (2024) - [i74]Haiyang Sun, Lin Zhao, Zihao Wu, Xiaohui Gao, Yutao Hu, Mengfei Zuo, Wei Zhang, Junwei Han, Tianming Liu, Xintao Hu:
Brain-like Functional Organization within Large Language Models. CoRR abs/2410.19542 (2024) - [i73]Ehsan Latif, Yifan Zhou, Shuchen Guo, Yizhu Gao, Lehong Shi, Matthew Nayaaba, Gyeong-Geon Lee, Liang Zhang, Arne Bewersdorff, Luyang Fang, Xiantong Yang, Huaqin Zhao, Hanqi Jiang, Haoran Lu, Jiaxi Li, Jichao Yu, Weihang You, Zhengliang Liu, Vincent Shung Liu, Hui Wang, Zihao Wu, Jin Lu, Fei Dou, Ping Ma, Ninghao Liu, Tianming Liu, Xiaoming Zhai:
A Systematic Assessment of OpenAI o1-Preview for Higher Order Thinking in Education. CoRR abs/2410.21287 (2024) - [i72]Yiwei Li, Huaqin Zhao, Hanqi Jiang, Yi Pan, Zhengliang Liu, Zihao Wu, Peng Shu, Jie Tian, Tianze Yang, Shaochen Xu, Yanjun Lyu, Parker Blenk, Jacob Pence, Jason Rupram, Eliza Banu, Ninghao Liu, Linbing Wang, Wen-Zhan Song, Xiaoming Zhai, Kenan Song, Dajiang Zhu, Beiwen Li, Xianqiao Wang, Tianming Liu:
Large Language Models for Manufacturing. CoRR abs/2410.21418 (2024) - [i71]Sekeun Kim, Pengfei Jin, Sifan Song, Cheng Chen, Yiwei Li, Hui Ren, Xiang Li, Tianming Liu, Quanzheng Li:
EchoFM: Foundation Model for Generalizable Echocardiogram Analysis. CoRR abs/2410.23413 (2024) - [i70]Minheng Chen, Chao Cao, Tong Chen, Yan Zhuang, Jing Zhang, Yanjun Lyu, Xiaowei Yu, Lu Zhang, Tianming Liu, Dajiang Zhu:
Using Structural Similarity and Kolmogorov-Arnold Networks for Anatomical Embedding of 3-hinge Gyrus. CoRR abs/2410.23598 (2024) - 2023
- [j122]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:
Functional brain network identification and fMRI augmentation using a VAE-GAN framework. Comput. Biol. Medicine 165: 107395 (2023) - [j121]Xiao Yang, Ramesh Bist, Sachin Subedi, Zihao Wu, Tianming Liu, Lilong Chai:
An automatic classifier for monitoring applied behaviors of cage-free laying hens with deep learning. Eng. Appl. Artif. Intell. 123(Part B): 106377 (2023) - [j120]Shu Zhang, Junxin Wang, Sigang Yu, Ruoyang Wang, Junwei Han, Shijie Zhao, Tianming Liu, Jinglei Lv:
An explainable deep learning framework for characterizing and interpreting human brain states. Medical Image Anal. 83: 102665 (2023) - [j119]Lin Zhao, Zihao Wu, Haixing Dai, Zhengliang Liu, Xintao Hu, Tuo Zhang, Dajiang Zhu, Tianming Liu:
A generic framework for embedding human brain function with temporally correlated autoencoder. Medical Image Anal. 89: 102892 (2023) - [j118]Liting Wang, Xintao Hu, Yudan Ren, Jinglei Lv, Shijie Zhao, Lei Guo, Tianming Liu, Junwei Han:
Arousal modulates the amygdala-insula reciprocal connectivity during naturalistic emotional movie watching. NeuroImage 279: 120316 (2023) - [j117]Ying Huang, Tuo Zhang, Songyao Zhang, Weihan Zhang, Li Yang, Dajiang Zhu, Tianming Liu, Xi Jiang, Junwei Han, Lei Guo:
Genetic Influence on Gyral Peaks. NeuroImage 280: 120344 (2023) - [j116]Xi Jiang, Jiadong Yan, Yu Zhao, Mingxin Jiang, Yuzhong Chen, Jingchao Zhou, Zhenxiang Xiao, Zifan Wang, Rong Zhang, Benjamin Becker, Dajiang Zhu, Keith M. Kendrick, Tianming Liu:
Characterizing functional brain networks via Spatio-Temporal Attention 4D Convolutional Neural Networks (STA-4DCNNs). Neural Networks 158: 99-110 (2023) - [j115]Shu Zhang, Enze Shi, Lin Wu, Ruoyang Wang, Sigang Yu, Zhengliang Liu, Shaochen Xu, Tianming Liu, Shijie Zhao:
Differentiating brain states via multi-clip random fragment strategy-based interactive bidirectional recurrent neural network. Neural Networks 165: 1035-1049 (2023) - [j114]Zuowei Jiang, Xiaoyan Cai, Libin Yang, Dehong Gao, Wei Zhao, Junwei Han, Jun Liu, Dinggang Shen, Tianming Liu:
Learning to Summarize Chinese Radiology Findings With a Pre-Trained Encoder. IEEE Trans. Biomed. Eng. 70(12): 3277-3287 (2023) - [j113]Chong Ma, Lin Zhao, Yuzhong Chen, Sheng Wang, Lei Guo, Tuo Zhang, Dinggang Shen, Xi Jiang, Tianming Liu:
Eye-Gaze-Guided Vision Transformer for Rectifying Shortcut Learning. IEEE Trans. Medical Imaging 42(11): 3384-3394 (2023) - [j112]Xiaoyan Cai, Sen Liu, Junwei Han, Libin Yang, Zhenguo Liu, Tianming Liu:
ChestXRayBERT: A Pretrained Language Model for Chest Radiology Report Summarization. IEEE Trans. Multim. 25: 845-855 (2023) - [c226]Xu Liu, Mengyue Zhou, Gaosheng Shi, Yu Du, Lin Zhao, Zihao Wu, David Liu, Tianming Liu, Xintao Hu:
Coupling Artificial Neurons in BERT and Biological Neurons in the Human Brain. AAAI 2023: 8888-8896 - [c225]Junwen Duan, Fangyuan Wei, Jin Liu, Hongdong Li, Tianming Liu, Jianxin Wang:
CDA: A Contrastive Data Augmentation Method for Alzheimer's Disease Detection. ACL (Findings) 2023: 1819-1826 - [c224]Mengyue Zhou, Xu Liu, David Liu, Zihao Wu, Zhengliang Liu, Lin Zhao, Dajiang Zhu, Lei Guo, Junwei Han, Tianming Liu, Xintao Hu:
Fine-grained Artificial Neurons in Audio-transformers for Disentangling Neural Auditory Encoding. ACL (Findings) 2023: 7943-7956 - [c223]Qing Li, Haixing Dai, Jinglei Lv, Lin Zhao, Zhengliang Liu, Zihao Wu, Xia Wu, Claire Coles, Xiaoping Hu, Tianming Liu, Dajiang Zhu:
Individual Functional Network Abnormalities Mapping via Graph Representation-Based Neural Architecture Search. ADMA (3) 2023: 79-91 - [c222]Xuansheng Wu, Xinyu He, Tianming Liu, Ninghao Liu, Xiaoming Zhai:
Matching Exemplar as Next Sentence Prediction (MeNSP): Zero-Shot Prompt Learning for Automatic Scoring in Science Education. AIED 2023: 401-413 - [c221]Zhengliang Liu, Xinyu He, Lei Liu, Tianming Liu, Xiaoming Zhai:
Context Matters: A Strategy to Pre-train Language Model for Science Education. AIED (Posters/Late Breaking Results/...) 2023: 666-674 - [c220]Wenxiong Liao, Zhengliang Liu, Yiyang Zhang, Xiaoke Huang, Fei Qi, Siqi Ding, Hui Ren, Zihao Wu, Haixing Dai, Sheng Li, Lingfei Wu, Ninghao Liu, Quanzheng Li, Tianming Liu, Xiang Li, Hongmin Cai:
Coarse-to-fine Knowledge Graph Domain Adaptation based on Distantly-supervised Iterative Training. BIBM 2023: 1294-1299 - [c219]Yaonai Wei, Tianyang Zhong, Songyao Zhang, Xiao Li, Tuo Zhang, Lin Zhao, Zhengliang Liu, Muheng Shang, Tianming Liu, Han Zhang, Chong Ma, Lei Du, Junwei Han:
Chat2Brain: A Method for Mapping Open-Ended Semantic Queries to Brain Activation Maps. BIBM 2023: 1523-1530 - [c218]Yaonai Wei, Chong Ma, Tianyang Zhong, Lei Du, Tuo Zhang, Songyao Zhang, Li Yang, Tianming Liu, Han Zhang, Zhibin He, Muheng Shang, Junwei Han:
FMRI-Guided Time-Symmetric Joint Model for Visual Attention Prediction. BIBM 2023: 3212-3217 - [c217]Hongmin Cai, Xiaoke Huang, Zhengliang Liu, Wenxiong Liao, Haixing Dai, Zihao Wu, Dajiang Zhu, Hui Ren, Quanzheng Li, Tianming Liu, Xiang Li:
Multimodal Approaches for Alzheimer's Detection Using Patients' Speech and Transcript. BI 2023: 395-406 - [c216]Yucheng Shi, Hehuan Ma, Wenliang Zhong, Qiaoyu Tan, Gengchen Mai, Xiang Li, Tianming Liu, Junzhou Huang:
ChatGraph: Interpretable Text Classification by Converting ChatGPT Knowledge to Graphs. ICDM (Workshops) 2023: 515-520 - [c215]Li Yang, Songyao Zhang, Weihan Zhang, Jingchao Zhou, Tianyang Zhong, Yaonai Wei, Xi Jiang, Tianming Liu, Junwei Han, Yixuan Yuan, Tuo Zhang:
Species-Shared and -Specific Brain Functional Connectomes Revealed by Shared-Unique Variational Autoencoder. IPMI 2023: 41-52 - [c214]Lin Zhao, Hexin Dong, Ping Wu, Jiaying Lu, Le Lu, Jingren Zhou, Tianming Liu, Li Zhang, Ling Zhang, Yuxing Tang, Chuantao Zuo:
MetaViT: Metabolism-Aware Vision Transformer for Differential Diagnosis of Parkinsonism with 18F-FDG PET. IPMI 2023: 132-144 - [c213]Yu Du, Liting Wang, Lei Guo, Junwei Han, Tianming Liu, Xintao Hu:
Topological Similarity between Artificial and Biological Neural Networks. ISBI 2023: 1-5 - [c212]Zili Kang, Yifan Lv, Mengshen He, Yiheng Liu, Tianming Liu, Bao Ge:
Brain Surface Can Predict Fiber Connections. ISBI 2023: 1-4 - [c211]Yiheng Liu, Enjie Ge, Ning Qiang, Tianming Liu, Bao Ge:
Spatial-Temporal Convolutional Attention for Mapping Functional Brain Networks. ISBI 2023: 1-4 - [c210]Xiaowei Yu, Lu Zhang, Yanjun Lyu, Tianming Liu, Dajiang Zhu:
Supervised Deep Tree in Alzheimer's Disease. ISBI 2023: 1-5 - [c209]Lu Zhang, Xiaowei Yu, Yanjun Lyu, Tianming Liu, Dajiang Zhu:
Representative Functional Connectivity Learning for Multiple Clinical Groups in Alzheimer's Disease. ISBI 2023: 1-5 - [c208]Haixing Dai, Mengxuan Hu, Qing Li, Lu Zhang, Lin Zhao, Dajiang Zhu, Ibai Díez, Jorge Sepulcre, Fan Zhang, Xingyu Gao, Manhua Liu, Quanzheng Li, Sheng Li, Tianming Liu, Xiang Li:
Graph-Based Counterfactual Causal Inference Modeling for Neuroimaging Analysis. MTSAIL/LEAF/AI4Treat/MMMI/REMIA@MICCAI 2023: 205-213 - [c207]Jiaxing Gao, Lin Zhao, Tianyang Zhong, Changhe Li, Zhibin He, Yaonai Wei, Shu Zhang, Lei Guo, Tianming Liu, Junwei Han, Tuo Zhang:
Prediction of Cognitive Scores by Joint Use of Movie-Watching fMRI Connectivity and Eye Tracking via Attention-CensNet. MICCAI (2) 2023: 287-296 - [c206]Fenqiang Zhao, Zhengwang Wu, Dajiang Zhu, Tianming Liu, John H. Gilmore, Weili Lin, Li Wang, Gang Li:
Disentangling Site Effects with Cycle-Consistent Adversarial Autoencoder for Multi-site Cortical Data Harmonization. MICCAI (8) 2023: 369-379 - [c205]Tianyang Zhong, Xiaozheng Wei, Enze Shi, Jiaxing Gao, Chong Ma, Yaonai Wei, Songyao Zhang, Lei Guo, Junwei Han, Tianming Liu, Tuo Zhang:
A Small-Sample Method with EEG Signals Based on Abductive Learning for Motor Imagery Decoding. MICCAI (1) 2023: 416-424 - [c204]Zhengwang Wu, Jiale Cheng, Fenqiang Zhao, Ya Wang, Yue Sun, Dajiang Zhu, Tianming Liu, Valerie Jewells, Weili Lin, Li Wang, Gang Li:
Weakly Supervised Cerebellar Cortical Surface Parcellation with Self-Visual Representation Learning. MICCAI (8) 2023: 429-438 - [c203]Lu Zhang, Saiyang Na, Tianming Liu, Dajiang Zhu, Junzhou Huang:
Multimodal Deep Fusion in Hyperbolic Space for Mild Cognitive Impairment Study. MICCAI (5) 2023: 674-684 - [c202]Kangfu Han, Fenqiang Zhao, Dajiang Zhu, Tianming Liu, Feng Yang, Gang Li:
Towards Unified Modality Understanding for Alzheimer's Disease Diagnosis Using Incomplete Multi-modality Data. MLMI@MICCAI (2) 2023: 184-193 - [c201]Zhengliang Liu, Aoxiao Zhong, Yiwei Li, Longtao Yang, Chao Ju, Zihao Wu, Chong Ma, Peng Shu, Cheng Chen, Sekeun Kim, Haixing Dai, Lin Zhao, Dajiang Zhu, Jun Liu, Wei Liu, Dinggang Shen, Quanzheng Li, Tianming Liu, Xiang Li:
Tailoring Large Language Models to Radiology: A Preliminary Approach to LLM Adaptation for a Highly Specialized Domain. MLMI@MICCAI (1) 2023: 464-473 - [i69]Zhengliang Liu, Xinyu He, Lei Liu, Tianming Liu, Xiaoming Zhai:
Context Matters: A Strategy to Pre-train Language Model for Science Education. CoRR abs/2301.12031 (2023) - [i68]Wenxiong Liao, Zhengliang Liu, Haixing Dai, Zihao Wu, Yiyang Zhang, Xiaoke Huang, Yuzhong Chen, Xi Jiang, Dajiang Zhu, Tianming Liu, Sheng Li, Xiang Li, Hongmin Cai:
Mask-guided BERT for Few Shot Text Classification. CoRR abs/2302.10447 (2023) - [i67]Haixing Dai, Zhengliang Liu, Wenxiong Liao, Xiaoke Huang, Zihao Wu, Lin Zhao, Wei Liu, Ninghao Liu, Sheng Li, Dajiang Zhu, Hongmin Cai, Quanzheng Li, Dinggang Shen, Tianming Liu, Xiang Li:
ChatAug: Leveraging ChatGPT for Text Data Augmentation. CoRR abs/2302.13007 (2023) - [i66]Zhengliang Liu, Xiaowei Yu, Lu Zhang, Zihao Wu, Chao Cao, Haixing Dai, Lin Zhao, Wei Liu, Dinggang Shen, Quanzheng Li, Tianming Liu, Dajiang Zhu, Xiang Li:
DeID-GPT: Zero-shot Medical Text De-Identification by GPT-4. CoRR abs/2303.11032 (2023) - [i65]Xu Liu, Mengyue Zhou, Gaosheng Shi, Yu Du, Lin Zhao, Zihao Wu, David Liu, Tianming Liu, Xintao Hu:
Coupling Artificial Neurons in BERT and Biological Neurons in the Human Brain. CoRR abs/2303.14871 (2023) - [i64]Xiaowei Yu, Lu Zhang, Haixing Dai, Yanjun Lyu, Lin Zhao, Zihao Wu, David Liu, Tianming Liu, Dajiang Zhu:
Core-Periphery Principle Guided Redesign of Self-Attention in Transformers. CoRR abs/2303.15569 (2023) - [i63]Lin Zhao, Lu Zhang, Zihao Wu, Yuzhong Chen, Haixing Dai, Xiaowei Yu, Zhengliang Liu, Tuo Zhang, Xintao Hu, Xi Jiang, Xiang Li, Dajiang Zhu, Dinggang Shen, Tianming Liu:
When Brain-inspired AI Meets AGI. CoRR abs/2303.15935 (2023) - [i62]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:
Summary of ChatGPT/GPT-4 Research and Perspective Towards the Future of Large Language Models. CoRR abs/2304.01852 (2023) - [i61]Jason Holmes, Zhengliang Liu, Lian Zhang, Yuzhen Ding, Terence T. Sio, Lisa A. McGee, Jonathan B. Ashman, Xiang Li, Tianming Liu, Jiajian Shen, Wei Liu:
Evaluating Large Language Models on a Highly-specialized Topic, Radiation Oncology Physics. CoRR abs/2304.01938 (2023) - [i60]Guoyu Lu, Sheng Li, Gengchen Mai, Jin Sun, Dajiang Zhu, Lilong Chai, Haijian Sun, Xianqiao Wang, Haixing Dai, Ninghao Liu, Rui Xu, Daniel Petti, Changying Li, Tianming Liu:
AGI for Agriculture. CoRR abs/2304.06136 (2023) - [i59]Gengchen Mai, Weiming Huang, Jin Sun, Suhang Song, Deepak Mishra, Ninghao Liu, Song Gao, Tianming Liu, Gao Cong, Yingjie Hu, Chris Cundy, Ziyuan Li, Rui Zhu, Ni Lao:
On the Opportunities and Challenges of Foundation Models for Geospatial Artificial Intelligence. CoRR abs/2304.06798 (2023) - [i58]Chong Ma, Zihao Wu, Jiaqi Wang, Shaochen Xu, Yaonai Wei, Zhengliang Liu, Lei Guo, Xiaoyan Cai, Shu Zhang, Tuo Zhang, Dajiang Zhu, Dinggang Shen, Tianming Liu, Xiang Li:
ImpressionGPT: An Iterative Optimizing Framework for Radiology Report Summarization with ChatGPT. CoRR abs/2304.08448 (2023) - [i57]Zihao Wu, Lu Zhang, Chao Cao, Xiaowei Yu, Haixing Dai, Chong Ma, Zhengliang Liu, Lin Zhao, Gang Li, Wei Liu, Quanzheng Li, Dinggang Shen, Xiang Li, Dajiang Zhu, Tianming Liu:
Exploring the Trade-Offs: Unified Large Language Models vs Local Fine-Tuned Models for Highly-Specific Radiology NLI Task. CoRR abs/2304.09138 (2023) - [i56]Lin Zhao, Haixing Dai, Zihao Wu, Dajiang Zhu, Tianming Liu:
CP-CNN: Core-Periphery Principle Guided Convolutional Neural Network. CoRR abs/2304.10515 (2023) - [i55]Tianyang Zhong, Yaonai Wei, Li Yang, Zihao Wu, Zhengliang Liu, Xiaozheng Wei, Wenjun Li, Junjie Yao, Chong Ma, Xiang Li, Dajiang Zhu, Xi Jiang, Junwei Han, Dinggang Shen, Tianming Liu, Tuo Zhang:
ChatABL: Abductive Learning via Natural Language Interaction with ChatGPT. CoRR abs/2304.11107 (2023) - [i54]Wenxiong Liao, Zhengliang Liu, Haixing Dai, Shaochen Xu, Zihao Wu, Yiyang Zhang, Xiaoke Huang, Dajiang Zhu, Hongmin Cai, Tianming Liu, Xiang Li:
Differentiate ChatGPT-generated and Human-written Medical Texts. CoRR abs/2304.11567 (2023) - [i53]Ehsan Latif, Gengchen Mai, Matthew Nyaaba, Xuansheng Wu, Ninghao Liu, Guoyu Lu, Sheng Li, Tianming Liu, Xiaoming Zhai:
Artificial General Intelligence (AGI) for Education. CoRR abs/2304.12479 (2023) - [i52]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:
Prompt Engineering for Healthcare: Methodologies and Applications. CoRR abs/2304.14670 (2023) - [i51]Zhenxiang Xiao, Yuzhong Chen, Lu Zhang, Junjie Yao, Zihao Wu, Xiaowei Yu, Yi Pan, Lin Zhao, Chong Ma, Xinyu Liu, Wei Liu, Xiang Li, Yixuan Yuan, Dinggang Shen, Dajiang Zhu, Tianming Liu, Xi Jiang:
Instruction-ViT: Multi-Modal Prompts for Instruction Learning in ViT. CoRR abs/2305.00201 (2023) - [i50]Yucheng Shi, Hehuan Ma, Wenliang Zhong, Gengchen Mai, Xiang Li, Tianming Liu, Junzhou Huang:
ChatGraph: Interpretable Text Classification by Converting ChatGPT Knowledge to Graphs. CoRR abs/2305.03513 (2023) - [i49]Sheng Wang, Zixu Zhuang, Xi Ouyang, Lichi Zhang, Zheren Li, Chong Ma, Tianming Liu, Dinggang Shen, Qian Wang:
Learning Better Contrastive View from Radiologist's Gaze. CoRR abs/2305.08826 (2023) - [i48]Xiao Yang, Haixing Dai, Zihao Wu, Ramesh Bist, Sachin Subedi, Jin Sun, Guoyu Lu, Changying Li, Tianming Liu, Lilong Chai:
SAM for Poultry Science. CoRR abs/2305.10254 (2023) - [i47]Xiang Li, Lu Zhang, Zihao Wu, Zhengliang Liu, Lin Zhao, Yixuan Yuan, Jun Liu, Gang Li, Dajiang Zhu, Pingkuan Yan, Quanzheng Li, Wei Liu, Tianming Liu, Dinggang Shen:
Artificial General Intelligence for Medical Imaging. CoRR abs/2306.05480 (2023) - [i46]Zhengliang Liu, Aoxiao Zhong, Yiwei Li, Longtao Yang, Chao Ju, Zihao Wu, Chong Ma, Peng Shu, Cheng Chen, Sekeun Kim, Haixing Dai, Lin Zhao, Dajiang Zhu, Jun Liu, Wei Liu, Dinggang Shen, Xiang Li, Quanzheng Li, Tianming Liu:
Radiology-GPT: A Large Language Model for Radiology. CoRR abs/2306.08666 (2023) - [i45]Haixing Dai, Yiwei Li, Zhengliang Liu, Lin Zhao, Zihao Wu, Suhang Song, Ye Shen, Dajiang Zhu, Xiang Li, Sheng Li, Xiaobai Yao, Lu Shi, Quanzheng Li, Zhuo Chen, Donglan Zhang, Gengchen Mai, Tianming Liu:
AD-AutoGPT: An Autonomous GPT for Alzheimer's Disease Infodemiology. CoRR abs/2306.10095 (2023) - [i44]Lian Zhang, Zhengliang Liu, Lu Zhang, Zihao Wu, Xiaowei Yu, Jason Holmes, Hongying Feng, Haixing Dai, Xiang Li, Quanzheng Li, Dajiang Zhu, Tianming Liu, Wei Liu:
Segment Anything Model (SAM) for Radiation Oncology. CoRR abs/2306.11730 (2023) - [i43]Saed Rezayi, Zhengliang Liu, Zihao Wu, Chandra Dhakal, Bao Ge, Haixing Dai, Gengchen Mai, Ninghao Liu, Chen Zhen, Tianming Liu, Sheng Li:
Exploring New Frontiers in Agricultural NLP: Investigating the Potential of Large Language Models for Food Applications. CoRR abs/2306.11892 (2023) - [i42]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:
Review of Large Vision Models and Visual Prompt Engineering. CoRR abs/2307.00855 (2023) - [i41]Haixing Dai, Chong Ma, Zhengliang Liu, Yiwei Li, Peng Shu, Xiaozheng Wei, Lin Zhao, Zihao Wu, Dajiang Zhu, Wei Liu, Quanzheng Li, Tianming Liu, Xiang Li:
SAMAug: Point Prompt Augmentation for Segment Anything Model. CoRR abs/2307.01187 (2023) - [i40]Haixing Dai, Mengxuan Hu, Qing Li, Lu Zhang, Lin Zhao, Dajiang Zhu, Ibai Díez, Jorge Sepulcre, Fan Zhang, Xingyu Gao, Manhua Liu, Quanzheng Li, Sheng Li, Tianming Liu, Xiang Li:
Identification of Causal Relationship between Amyloid-beta Accumulation and Alzheimer's Disease Progression via Counterfactual Inference. CoRR abs/2307.01389 (2023) - [i39]Hongmin Cai, Xiaoke Huang, Zhengliang Liu, Wenxiong Liao, Haixing Dai, Zihao Wu, Dajiang Zhu, Hui Ren, Quanzheng Li, Tianming Liu, Xiang Li:
Exploring Multimodal Approaches for Alzheimer's Disease Detection Using Patient Speech Transcript and Audio Data. CoRR abs/2307.02514 (2023) - [i38]Haixing Dai, Lu Zhang, Lin Zhao, Zihao Wu, Zhengliang Liu, David Liu, Xiaowei Yu, Yanjun Lyu, Changying Li, Ninghao Liu, Tianming Liu, Dajiang Zhu:
Hierarchical Semantic Tree Concept Whitening for Interpretable Image Classification. CoRR abs/2307.04343 (2023) - [i37]Zhengliang Liu, Zihao Wu, Mengxuan Hu, Bokai Zhao, Lin Zhao, Tianyi Zhang, Haixing Dai, Xianyan Chen, Ye Shen, Sheng Li, Brian Murray, Tianming Liu, Andrea Sikora:
PharmacyGPT: The AI Pharmacist. CoRR abs/2307.10432 (2023) - [i36]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:
Evaluating Large Language Models for Radiology Natural Language Processing. CoRR abs/2307.13693 (2023) - [i35]Yaonai Wei, Tuo Zhang, Han Zhang, Tianyang Zhong, Lin Zhao, Zhengliang Liu, Chong Ma, Songyao Zhang, Muheng Shang, Lei Du, Xiao Li, Tianming Liu, Junwei Han:
Chat2Brain: A Method for Mapping Open-Ended Semantic Queries to Brain Activation Maps. CoRR abs/2309.05021 (2023) - [i34]Zhengliang Liu, Yiwei Li, Peng Shu, Aoxiao Zhong, Longtao Yang, Chao Ju, Zihao Wu, Chong Ma, Jie Luo, Cheng Chen, Sekeun Kim, Jiang Hu, Haixing Dai, Lin Zhao, Dajiang Zhu, Jun Liu, Wei Liu, Dinggang Shen, Tianming Liu, Quanzheng Li, Xiang Li:
Radiology-Llama2: Best-in-Class Large Language Model for Radiology. CoRR abs/2309.06419 (2023) - [i33]Fei Dou, Jin Ye, Geng Yuan, Qin Lu, Wei Niu, Haijian Sun, Le Guan, Guoyu Lu, Gengchen Mai, Ninghao Liu, Jin Lu, Zhengliang Liu, Zihao Wu, Chenjiao Tan, Shaochen Xu, Xianqiao Wang, Guoming Li, Lilong Chai, Sheng Li, Jin Sun, Hongyue Sun, Yunli Shao, Changying Li, Tianming Liu, Wenzhan Song:
Towards Artificial General Intelligence (AGI) in the Internet of Things (IoT): Opportunities and Challenges. CoRR abs/2309.07438 (2023) - [i32]Cheng Chen, Juzheng Miao, Dufan Wu, Zhiling Yan, Sekeun Kim, Jiang Hu, Aoxiao Zhong, Zhengliang Liu, Lichao Sun, Xiang Li, Tianming Liu, Pheng-Ann Heng, Quanzheng Li:
MA-SAM: Modality-agnostic SAM Adaptation for 3D Medical Image Segmentation. CoRR abs/2309.08842 (2023) - [i31]Zhengliang Liu, Peilong Wang, Yiwei Li, Jason Holmes, Peng Shu, Lian Zhang, Chenbin Liu, Ninghao Liu, Dajiang Zhu, Xiang Li, Quanzheng Li, Samir H. Patel, Terence T. Sio, Tianming Liu, Wei Liu:
RadOnc-GPT: A Large Language Model for Radiation Oncology. CoRR abs/2309.10160 (2023) - [i30]Chenhao Tang, Zhengliang Liu, Chong Ma, Zihao Wu, Yiwei Li, Wei Liu, Dajiang Zhu, Quanzheng Li, Xiang Li, Tianming Liu, Lei Fan:
PolicyGPT: Automated Analysis of Privacy Policies with Large Language Models. CoRR abs/2309.10238 (2023) - [i29]Xiaowei Yu, Yao Xue, Lu Zhang, Li Wang, Tianming Liu, Dajiang Zhu:
Exploring the Influence of Information Entropy Change in Learning Systems. CoRR abs/2309.10625 (2023) - [i28]Yucheng Shi, Shaochen Xu, Zhengliang Liu, Tianming Liu, Xiang Li, Ninghao Liu:
MedEdit: Model Editing for Medical Question Answering with External Knowledge Bases. CoRR abs/2309.16035 (2023) - [i27]Jason Holmes, Lian Zhang, Yuzhen Ding, Hongying Feng, Zhengliang Liu, Tianming Liu, William W. Wong, Sujay A. Vora, Jonathan B. Ashman, Wei Liu:
Benchmarking a foundation LLM on its ability to re-label structure names in accordance with the AAPM TG-263 report. CoRR abs/2310.03874 (2023) - [i26]Tianyang Zhong, Wei Zhao, Yutong Zhang, Yi Pan, Peixin Dong, Zuowei Jiang, Xiaoyan Kui, Youlan Shang, Li Yang, Yaonai Wei, Longtao Yang, Hao Chen, Huan Zhao, Yuxiao Liu, Ning Zhu, Yiwei Li, Yisong Wang, Jiaqi Yao, Jiaqi Wang, Ying Zeng, Lei He, Chao Zheng, Zhixue Zhang, Ming Li, Zhengliang Liu, Haixing Dai, Zihao Wu, Lu Zhang, Shu Zhang, Xiaoyan Cai, Xintao Hu, Shijie Zhao, Xi Jiang, Xin Zhang, Xiang Li, Dajiang Zhu, Lei Guo, Dinggang Shen, Junwei Han, Tianming Liu, Jun Liu, Tuo Zhang:
ChatRadio-Valuer: A Chat Large Language Model for Generalizable Radiology Report Generation Based on Multi-institution and Multi-system Data. CoRR abs/2310.05242 (2023) - [i25]Jixin Hou, Nicholas Filla, Xianyan Chen, Mir Jalil Razavi, Tianming Liu, Xianqiao Wang:
Exploring hyperelastic material model discovery for human brain cortex: multivariate analysis vs. artificial neural network approaches. CoRR abs/2310.10762 (2023) - [i24]Zhengliang Liu, Yiwei Li, Qian Cao, Junwen Chen, Tianze Yang, Zihao Wu, John Hale, John Gibbs, Khaled Rasheed, Ninghao Liu, Gengchen Mai, Tianming Liu:
Transformation vs Tradition: Artificial General Intelligence (AGI) for Arts and Humanities. CoRR abs/2310.19626 (2023) - [i23]Jason Holmes, Rui Peng, Yiwei Li, Jinyu Hu, Zhengliang Liu, Zihao Wu, Huan Zhao, Xi Jiang, Wei Liu, Hong Wei, Jie Zou, Tianming Liu, Yi Shao:
Evaluating multiple large language models in pediatric ophthalmology. CoRR abs/2311.04368 (2023) - [i22]Jason Holmes, Shuyuan Ye, Yiwei Li, Shi-Nan Wu, Zhengliang Liu, Zihao Wu, Jinyu Hu, Huan Zhao, Xi Jiang, Wei Liu, Hong Wei, Jie Zou, Tianming Liu, Yi Shao:
Evaluating Large Language Models in Ophthalmology. CoRR abs/2311.04933 (2023) - [i21]Xinyu Gong, Jason Holmes, Yiwei Li, Zhengliang Liu, Qi Gan, Zihao Wu, Jianli Zhang, Yusong Zou, Yuxi Teng, Tian Jiang, Hongtu Zhu, Wei Liu, Tianming Liu, Yajun Yan:
Evaluating the Potential of Leading Large Language Models in Reasoning Biology Questions. CoRR abs/2311.07582 (2023) - [i20]Lian Zhang, Jason M. Holmes, Zhengliang Liu, Hongying Feng, Terence T. Sio, Carlos E. Vargas, Sameer R. Keole, Kristin Stützer, Sheng Li, Tianming Liu, Jiajian Shen, William W. Wong, Sujay A. Vora, Wei Liu:
Noisy probing dose facilitated dose prediction for pencil beam scanning proton therapy: physics enhances generalizability. CoRR abs/2312.00975 (2023) - [i19]Huan Zhao, Qian Ling, Yi Pan, Tianyang Zhong, Jinyu Hu, Junjie Yao, Fengqian Xiao, Zhenxiang Xiao, Yutong Zhang, San-Hua Xu, Shi-Nan Wu, Min Kang, Zihao Wu, Zhengliang Liu, Xi Jiang, Tianming Liu, Yi Shao:
Ophtha-LLaMA2: A Large Language Model for Ophthalmology. CoRR abs/2312.04906 (2023) - [i18]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:
Holistic Evaluation of GPT-4V for Biomedical Imaging. CoRR abs/2312.05256 (2023) - [i17]Chenjiao Tan, Qian Cao, Yiwei Li, Jielu Zhang, Xiao Yang, Huaqin Zhao, Zihao Wu, Zhengliang Liu, Hao Yang, Nemin Wu, Tao Tang, Xinyue Ye, Lilong Chai, Ninghao Liu, Changying Li, Lan Mu, Tianming Liu, Gengchen Mai:
On the Promises and Challenges of Multimodal Foundation Models for Geographical, Environmental, Agricultural, and Urban Planning Applications. CoRR abs/2312.17016 (2023) - 2022
- [j111]Ning Qiang, Qinglin Dong, Hongtao Liang, Jin Li, Shu Zhang, Cheng Zhang, Bao Ge, Yifei Sun, Jie Gao, Tianming Liu, Huiji Yue, Shijie Zhao:
Learning brain representation using recurrent Wasserstein generative adversarial net. Comput. Methods Programs Biomed. 223: 106979 (2022) - [j110]Xiaoyan Cai, Sen Liu, Libin Yang, Yan Lu, Jintao Zhao, Dinggang Shen, Tianming Liu:
COVIDSum: A linguistically enriched SciBERT-based summarization model for COVID-19 scientific papers. J. Biomed. Informatics 127: 103999 (2022) - [j109]Shengfeng Liu, Fangfei Ge, Lin Zhao, Tianfu Wang, Dong Ni, Tianming Liu:
NAS-optimized topology-preserving transfer learning for differentiating cortical folding patterns. Medical Image Anal. 77: 102316 (2022) - [j108]Jiadong Yan, Yuzhong Chen, Zhenxiang Xiao, Shu Zhang, Mingxin Jiang, Tianqi Wang, Tuo Zhang, Jinglei Lv, Benjamin Becker, Rong Zhang, Dajiang Zhu, Junwei Han, Dezhong Yao, Keith M. Kendrick, Tianming Liu, Xi Jiang:
Modeling spatio-temporal patterns of holistic functional brain networks via multi-head guided attention graph neural networks (Multi-Head GAGNNs). Medical Image Anal. 80: 102518 (2022) - [j107]Tianji Pang, Shijie Zhao, Junwei Han, Shu Zhang, Lei Guo, Tianming Liu:
Gumbel-Softmax based Neural Architecture Search for Hierarchical Brain Networks Decomposition. Medical Image Anal. 82: 102570 (2022) - [j106]Xuyang Cao, Houjin Chen, Yanfeng Li, Yahui Peng, Yue Zhou, Lin Cheng, Tianming Liu, Dinggang Shen:
Auto-DenseUNet: Searchable neural network architecture for mass segmentation in 3D automated breast ultrasound. Medical Image Anal. 82: 102589 (2022) - [j105]Liting Wang, Xintao Hu, Huan Liu, Shijie Zhao, Lei Guo, Junwei Han, Tianming Liu:
Functional Brain Networks Underlying Auditory Saliency During Naturalistic Listening Experience. IEEE Trans. Cogn. Dev. Syst. 14(1): 156-163 (2022) - [j104]Qing Li, Wei Zhang, Lin Zhao, Xia Wu, Tianming Liu:
Evolutional Neural Architecture Search for Optimization of Spatiotemporal Brain Network Decomposition. IEEE Trans. Biomed. Eng. 69(2): 624-634 (2022) - [j103]Sheng Wang, Xi Ouyang, Tianming Liu, Qian Wang, Dinggang Shen:
Follow My Eye: Using Gaze to Supervise Computer-Aided Diagnosis. IEEE Trans. Medical Imaging 41(7): 1688-1698 (2022) - [c200]Saed Rezayi, Zhengliang Liu, Zihao Wu, Chandra Dhakal, Bao Ge, Chen Zhen, Tianming Liu, Sheng Li:
AgriBERT: Knowledge-Infused Agricultural Language Models for Matching Food and Nutrition. IJCAI 2022: 5150-5156 - [c199]Tianji Pang, Dajiang Zhu, Tianming Liu, Junwei Han, Shijie Zhao:
Hierarchical Brain Networks Decomposition via Prior Knowledge Guided Deep Belief Network. MICCAI (1) 2022: 251-260 - [c198]Xiaowei Yu, Dan Hu, Lu Zhang, Ying Huang, Zhengwang Wu, Tianming Liu, Li Wang, Weili Lin, Dajiang Zhu, Gang Li:
Longitudinal Infant Functional Connectivity Prediction via Conditional Intensive Triplet Network. MICCAI (8) 2022: 255-264 - [c197]Saed Rezayi, Haixing Dai, Zhengliang Liu, Zihao Wu, Akarsh Hebbar, Andrew H. Burns, Lin Zhao, Dajiang Zhu, Quanzheng Li, Wei Liu, Sheng Li, Tianming Liu, Xiang Li:
ClinicalRadioBERT: Knowledge-Infused Few Shot Learning for Clinical Notes Named Entity Recognition. MLMI@MICCAI 2022: 269-278 - [c196]Haixing Dai, Qing Li, Lin Zhao, Liming Pan, Cheng Shi, Zhengliang Liu, Zihao Wu, Lu Zhang, Shijie Zhao, Xia Wu, Tianming Liu, Dajiang Zhu:
Graph Representation Neural Architecture Search for Optimal Spatial/Temporal Functional Brain Network Decomposition. MLMI@MICCAI 2022: 279-287 - [c195]Lin Zhao, Zihao Wu, Haixing Dai, Zhengliang Liu, Tuo Zhang, Dajiang Zhu, Tianming Liu:
Embedding Human Brain Function via Transformer. MICCAI (1) 2022: 366-375 - [i16]Sheng Wang, Xi Ouyang, Tianming Liu, Qian Wang, Dinggang Shen:
Follow My Eye: Using Gaze to Supervise Computer-Aided Diagnosis. CoRR abs/2204.02976 (2022) - [i15]Xiaowei Yu, Lu Zhang, Lin Zhao, Yanjun Lyu, Tianming Liu, Dajiang Zhu:
Disentangling Spatial-Temporal Functional Brain Networks via Twin-Transformers. CoRR abs/2204.09225 (2022) - [i14]Yiheng Liu, Enjie Ge, Mengshen He, Zhengliang Liu, Shijie Zhao, Xintao Hu, Dajiang Zhu, Tianming Liu, Bao Ge:
Discovering Dynamic Functional Brain Networks via Spatial and Channel-wise Attention. CoRR abs/2205.09576 (2022) - [i13]Yuzhong Chen, Zhenxiang Xiao, Lin Zhao, Lu Zhang, Haixing Dai, David Weizhong Liu, Zihao Wu, Changhe Li, Tuo Zhang, Changying Li, Dajiang Zhu, Tianming Liu, Xi Jiang:
Mask-guided Vision Transformer (MG-ViT) for Few-Shot Learning. CoRR abs/2205.09995 (2022) - [i12]Li Yang, Zhibin He, Changhe Li, Junwei Han, Dajiang Zhu, Tianming Liu, Tuo Zhang:
Brain Cortical Functional Gradients Predict Cortical Folding Patterns via Attention Mesh Convolution. CoRR abs/2205.10605 (2022) - [i11]Chong Ma, Lin Zhao, Yuzhong Chen, Lu Zhang, Zhenxiang Xiao, Haixing Dai, David Weizhong Liu, Zihao Wu, Zhengliang Liu, Sheng Wang, Jiaxing Gao, Changhe Li, Xi Jiang, Tuo Zhang, Qian Wang, Dinggang Shen, Dajiang Zhu, Tianming Liu:
Eye-gaze-guided Vision Transformer for Rectifying Shortcut Learning. CoRR abs/2205.12466 (2022) - [i10]Chong Ma, Lin Zhao, Yuzhong Chen, David Weizhong Liu, Xi Jiang, Tuo Zhang, Xintao Hu, Dinggang Shen, Dajiang Zhu, Tianming Liu:
Rectify ViT Shortcut Learning by Visual Saliency. CoRR abs/2206.08567 (2022) - [i9]Lin Zhao, Haixing Dai, Zihao Wu, Zhenxiang Xiao, Lu Zhang, David Weizhong Liu, Xintao Hu, Xi Jiang, Sheng Li, Dajiang Zhu, Tianming Liu:
Coupling Visual Semantics of Artificial Neural Networks and Human Brain Function via Synchronized Activations. CoRR abs/2206.10821 (2022) - [i8]Yuzhong Chen, Yu Du, Zhenxiang Xiao, Lin Zhao, Lu Zhang, David Weizhong Liu, Dajiang Zhu, Tuo Zhang, Xintao Hu, Tianming Liu, Xi Jiang:
A Unified and Biologically-Plausible Relational Graph Representation of Vision Transformers. CoRR abs/2206.11073 (2022) - [i7]Heng Huang, Lin Zhao, Xintao Hu, Haixing Dai, Lu Zhang, Dajiang Zhu, Tianming Liu:
BI AVAN: Brain inspired Adversarial Visual Attention Network. CoRR abs/2210.15790 (2022) - [i6]Yiheng Liu, Enjie Ge, Ning Qiang, Tianming Liu, Bao Ge:
Spatial-Temporal Convolutional Attention for Mapping Functional Brain Networks. CoRR abs/2211.02315 (2022) - [i5]Hongmin Cai, Wenxiong Liao, Zhengliang Liu, Xiaoke Huang, Yiyang Zhang, Siqi Ding, Sheng Li, Quanzheng Li, Tianming Liu, Xiang Li:
Coarse-to-fine Knowledge Graph Domain Adaptation based on Distantly-supervised Iterative Training. CoRR abs/2211.02849 (2022) - 2021
- [j102]Qing Li, Xia Wu, Tianming Liu:
Differentiable neural architecture search for optimal spatial/temporal brain function network decomposition. Medical Image Anal. 69: 101974 (2021) - [j101]Lu Zhang, Li Wang, Jean Gao, Shannon L. Risacher, Jingwen Yan, Gang Li, Tianming Liu, Dajiang Zhu:
Deep Fusion of Brain Structure-Function in Mild Cognitive Impairment. Medical Image Anal. 72: 102082 (2021) - [j100]Ning Qiang, Qinglin Dong, Fangfei Ge, Hongtao Liang, Bao Ge, Shu Zhang, Yifei Sun, Jie Gao, Tianming Liu:
Deep Variational Autoencoder for Mapping Functional Brain Networks. IEEE Trans. Cogn. Dev. Syst. 13(4): 841-852 (2021) - [j99]Guangyu Guo, Zhuoyan Liu, Shijie Zhao, Lei Guo, Tianming Liu:
Eliminating Indefiniteness of Clinical Spectrum for Better Screening COVID-19. IEEE J. Biomed. Health Informatics 25(5): 1347-1357 (2021) - [c194]Yudan Ren, Zeyang Tao, Wei Zhang, Tianming Liu:
Modeling Hierarchical Spatial and Temporal Patterns of Naturalistic fMRI Volume via Volumetric Deep Belief Network with Neural Architecture Search. ISBI 2021: 130-134 - [c193]Jiadong Yan, Yuzhong Chen, Shimin Yang, Shu Zhang, Mingxin Jiang, Zhongbo Zhao, Tuo Zhang, Yu Zhao, Benjamin Becker, Tianming Liu, Keith M. Kendrick, Xi Jiang:
Multi-head GAGNN: A Multi-head Guided Attention Graph Neural Network for Modeling Spatio-temporal Patterns of Holistic Brain Functional Networks. MICCAI (7) 2021: 564-573 - [c192]Lin Zhao, Haixing Dai, Xi Jiang, Tuo Zhang, Dajiang Zhu, Tianming Liu:
Exploring the Functional Difference of Gyri/Sulci via Hierarchical Interpretable Autoencoder. MICCAI (7) 2021: 701-709 - [c191]Jiadong Yan, Yu Zhao, Mingxin Jiang, Shu Zhang, Tuo Zhang, Shimin Yang, Yuzhong Chen, Zhongbo Zhao, Zhibin He, Benjamin Becker, Tianming Liu, Keith M. Kendrick, Xi Jiang:
A Guided Attention 4D Convolutional Neural Network for Modeling Spatio-Temporal Patterns of Functional Brain Networks. PRCV (3) 2021: 350-361 - 2020
- [j98]Shijie Zhao, Yan Cui, Linwei Huang, Li Xie, Yaowu Chen, Junwei Han, Lei Guo, Shu Zhang, Tianming Liu, Jinglei Lv:
Supervised Brain Network Learning Based on Deep Recurrent Neural Networks. IEEE Access 8: 69967-69978 (2020) - [j97]Wei Zhang, Shijie Zhao, Xintao Hu, Qinglin Dong, Heng Huang, Shu Zhang, Yu Zhao, Haixing Dai, Fangfei Ge, Lei Guo, Tianming Liu:
Hierarchical Organization of Functional Brain Networks Revealed by Hybrid Spatiotemporal Deep Learning. Brain Connect. 10(2): 72-82 (2020) - [j96]Ning Qiang, Qinglin Dong, Wei Zhang, Bao Ge, Fangfei Ge, Hongtao Liang, Yifei Sun, Jie Gao, Tianming Liu:
Modeling task-based fMRI data via deep belief network with neural architecture search. Comput. Medical Imaging Graph. 83: 101747 (2020) - [j95]Tuo Zhang, Ying Huang, Lin Zhao, Zhibin He, Xi Jiang, Lei Guo, Xiaoping Hu, Tianming Liu:
Identifying Cross-individual Correspondences of 3-hinge Gyri. Medical Image Anal. 63: 101700 (2020) - [j94]Yu Zhao, Xiang Li, Heng Huang, Wei Zhang, Shijie Zhao, Milad Makkie, Mo Zhang, Quanzheng Li, Tianming Liu:
Four-Dimensional Modeling of fMRI Data via Spatio-Temporal Convolutional Neural Networks (ST-CNNs). IEEE Trans. Cogn. Dev. Syst. 12(3): 451-460 (2020) - [j93]Yan Cui, Shijie Zhao, Yaowu Chen, Junwei Han, Lei Guo, Li Xie, Tianming Liu:
Modeling Brain Diverse and Complex Hemodynamic Response Patterns via Deep Recurrent Autoencoder. IEEE Trans. Cogn. Dev. Syst. 12(4): 733-743 (2020) - [j92]Qinglin Dong, Fangfei Ge, Ning Qiang, Yu Zhao, Jinglei Lv, Heng Huang, Jing Yuan, Xi Jiang, Dinggang Shen, Tianming Liu:
Modeling Hierarchical Brain Networks via Volumetric Sparse Deep Belief Network. IEEE Trans. Biomed. Eng. 67(6): 1739-1748 (2020) - [j91]Yujie Li, Heng Huang, Hanbo Chen, Tianming Liu:
Deep Neural Networks for In Situ Hybridization Grid Completion and Clustering. IEEE ACM Trans. Comput. Biol. Bioinform. 17(2): 536-546 (2020) - [c190]Ning Qiang, Qinglin Dong, Yifei Sun, Bao Ge, Tianming Liu:
Deep Variational Autoencoder for Modeling Functional Brain Networks and ADHD Identification. ISBI 2020: 554-557 - [c189]Haixing Dai, Fangfei Ge, Qing Li, Wei Zhang, Tianming Liu:
Optimize CNN Model for FMRI Signal Classification Via Adanet-Based Neural Architecture Search. ISBI 2020: 1399-1403 - [c188]Huan Wang, Qinglin Dong, Ning Qiang, Xin Zhang, Tianming Liu, Bao Ge:
Task fMRI Guided Fiber Clustering via a Deep Clustering Method. ISBI 2020: 1420-1423 - [c187]Zeyang Tao, Yudan Ren, Wei Zhang, Tianming Liu:
Identifying Hierarchical Individual Functional Network under Naturalistic Paradigm via Two-stage DBN with Neural Architecture Search. ISICDM 2020: 130-134 - [c186]Qinglin Dong, Ning Qiang, Jinglei Lv, Xiang Li, Liang Dong, Tianming Liu, Quanzheng Li:
A Novel fMRI Representation Learning Framework with GAN. MLMI@MICCAI 2020: 21-29 - [c185]Tuo Zhang, Zhibin He, Xi Jiang, Lei Guo, Xiaoping Hu, Tianming Liu, Lei Du:
Species-Shared and -Specific Structural Connections Revealed by Dirty Multi-task Regression. MICCAI (7) 2020: 94-103 - [c184]Mingxin Jiang, Shimin Yang, Jiadong Yan, Shu Zhang, Huan Liu, Lin Zhao, Haixing Dai, Jinglei Lv, Tuo Zhang, Tianming Liu, Keith M. Kendrick, Xi Jiang:
Exploring Functional Difference Between Gyri and Sulci via Region-Specific 1D Convolutional Neural Networks. MLMI@MICCAI 2020: 250-259 - [c183]Qing Li, Wei Zhang, Jinglei Lv, Xia Wu, Tianming Liu:
Neural Architecture Search for Optimization of Spatial-Temporal Brain Network Decomposition. MICCAI (7) 2020: 377-386 - [c182]Songyao Zhang, Lei Du, Jinglei Lv, Zhibin He, Xi Jiang, Lei Guo, Li Wang, Tianming Liu, Dinggang Shen, Gang Li, Tuo Zhang:
Gyral Growth Patterns of Macaque Brains Revealed by Scattered Orthogonal Nonnegative Matrix Factorization. MLMI@MICCAI 2020: 394-403 - [c181]Zhibin He, Shu Zhang, Songyao Zhang, Yin Zhang, Xintao Hu, Xi Jiang, Lei Guo, Tianming Liu, Lei Du, Tuo Zhang:
Interwound Structural and Functional Difference Between Preterm and Term Infant Brains Revealed by Multi-view CCA. MLMI@MICCAI 2020: 465-473 - [c180]Qinglin Dong, Ning Qiang, Jinglei Lv, Xiang Li, Tianming Liu, Quanzheng Li:
Discovering Functional Brain Networks with 3D Residual Autoencoder (ResAE). MICCAI (7) 2020: 498-507 - [c179]Qinglin Dong, Ning Qiang, Jinglei Lv, Xiang Li, Tianming Liu, Quanzheng Li:
Spatiotemporal Attention Autoencoder (STAAE) for ADHD Classification. MICCAI (7) 2020: 508-517
2010 – 2019
- 2019
- [j90]Wenyu Li, Qinglin Dong, Hao Jia, Shijie Zhao, Yongchen Wang, Li Xie, Qiang Pan, Feng Duan, Tianming Liu:
Training a Camera to Perform Long-Distance Eye Tracking by Another Eye-Tracker. IEEE Access 7: 155313-155324 (2019) - [j89]Milad Makkie, Heng Huang, Yu Zhao, Athanasios V. Vasilakos, Tianming Liu:
Fast and scalable distributed deep convolutional autoencoder for fMRI big data analytics. Neurocomputing 325: 20-30 (2019) - [j88]Shu Zhang, Qinglin Dong, Wei Zhang, Heng Huang, Dajiang Zhu, Tianming Liu:
Discovering hierarchical common brain networks via multimodal deep belief network. Medical Image Anal. 54: 238-252 (2019) - [j87]Milad Makkie, Xiang Li, Shannon Quinn, Binbin Lin, Jieping Ye, Geoffrey Mon, Tianming Liu:
A Distributed Computing Platform for fMRI Big Data Analytics. IEEE Trans. Big Data 5(2): 109-119 (2019) - [j86]Wei Zhang, Jinglei Lv, Xiang Li, Dajiang Zhu, Xi Jiang, Shu Zhang, Yu Zhao, Lei Guo, Jieping Ye, Dewen Hu, Tianming Liu:
Experimental Comparisons of Sparse Dictionary Learning and Independent Component Analysis for Brain Network Inference From fMRI Data. IEEE Trans. Biomed. Eng. 66(1): 289-299 (2019) - [j85]Shu Zhang, Huan Liu, Heng Huang, Yu Zhao, Xi Jiang, Brook Bowers, Lei Guo, Xiaoping Hu, Mar Sanchez, Tianming Liu:
Deep Learning Models Unveiled Functional Difference Between Cortical Gyri and Sulci. IEEE Trans. Biomed. Eng. 66(5): 1297-1308 (2019) - [j84]Yan Cui, Shijie Zhao, Han Wang, Li Xie, Yaowu Chen, Junwei Han, Lei Guo, Fan Zhou, Tianming Liu:
Identifying Brain Networks at Multiple Time Scales via Deep Recurrent Neural Network. IEEE J. Biomed. Health Informatics 23(6): 2515-2525 (2019) - [j83]Han Wang, Shijie Zhao, Qinglin Dong, Yan Cui, Yaowu Chen, Junwei Han, Li Xie, Tianming Liu:
Recognizing Brain States Using Deep Sparse Recurrent Neural Network. IEEE Trans. Medical Imaging 38(4): 1058-1068 (2019) - [c178]Qing Li, Qinglin Dong, Fangfei Ge, Ning Qiang, Yu Zhao, Han Wang, Heng Huang, Xia Wu, Tianming Liu:
Simultaneous Spatial-Temporal Decomposition of Connectome-Scale Brain Networks by Deep Sparse Recurrent Auto-Encoders. IPMI 2019: 579-591 - [c177]Yu Zhao, Haixing Dai, Wei Zhang, Fangfei Ge, Tianming Liu:
Two-Stage Spatial Temporal Deep Learning Framework For Functional Brain Network Modeling. ISBI 2019: 1576-1580 - [c176]Fangfei Ge, Shu Zhang, Heng Huang, Xi Jiang, Qinglin Dong, Lei Guo, Xianqiao Wang, Tianming Liu:
Exploring Intrinsic Functional Differences of Gyri, Sulci and 2-Hinge, 3-Hinge Joints on Cerebral Cortex. ISBI 2019: 1585-1589 - [c175]Lin Zhao, Huan Liu, Xi Jiang, Shijie Zhao, Zhibin He, Tianming Liu, Lei Guo, Tuo Zhang:
A Task Performance-guided Model of Functional Networks Identification. ISBI 2019: 1590-1593 - [c174]Yin Zhang, Xintao Hu, Chunlin He, Xiangning Wang, Yudan Ren, Huan Liu, Liting Wang, Lei Guo, Tianming Liu:
A Two-Stage DBN-Based Method to Exploring Functional Brain Networks in Naturalistic Paradigm FMRI. ISBI 2019: 1594-1597 - [c173]Liting Wang, Xintao Hu, Huan Liu, Heng Huang, Lei Guo, Tianming Liu:
Explore the Hierarchical Auditory Information Processing Via Deep Convolutional Autoencoder. ISBI 2019: 1788-1791 - [c172]Ning Qiang, Bao Ge, Qinglin Dong, Fangfei Ge, Tianming Liu:
Neural Architecture Search for Optimizing Deep Belief Network Models of fMRI Data. MMMI@MICCAI 2019: 26-34 - [c171]Zhibin He, Ying Huang, Tianming Liu, Lei Guo, Lei Du, Tuo Zhang:
Species-Preserved Structural Connections Revealed by Sparse Tensor CCA. MBIA/MFCA@MICCAI 2019: 49-56 - [c170]Ying Huang, Zhibin He, Tianming Liu, Lei Guo, Tuo Zhang:
Identification of Abnormal Cortical 3-Hinge Folding Patterns on Autism Spectral Brains. MBIA/MFCA@MICCAI 2019: 57-65 - [c169]Shijie Zhao, Yan Cui, Yaowu Chen, Xin Zhang, Wei Zhang, Huan Liu, Junwei Han, Lei Guo, Li Xie, Tianming Liu:
Exploring Brain Hemodynamic Response Patterns via Deep Recurrent Autoencoder. MBIA/MFCA@MICCAI 2019: 66-74 - [c168]Wei Suo, Xintao Hu, Bowei Yan, Mengyang Sun, Lei Guo, Junwei Han, Tianming Liu:
3D Convolutional Long-Short Term Memory Network for Spatiotemporal Modeling of fMRI Data. MBIA/MFCA@MICCAI 2019: 75-83 - [c167]Tuo Zhang, Xiao Li, Lin Zhao, Ying Huang, Zhibin He, Lei Guo, Tianming Liu:
Group-Wise Graph Matching of Cortical Gyral Hinges. MICCAI (4) 2019: 75-83 - [c166]Ying Huang, Zhibin He, Lei Guo, Tianming Liu, Tuo Zhang:
Multi-view Graph Matching of Cortical Landmarks. MICCAI (4) 2019: 84-92 - [c165]Wei Zhang, Lin Zhao, Qing Li, Shijie Zhao, Qinglin Dong, Xi Jiang, Tuo Zhang, Tianming Liu:
Identify Hierarchical Structures from Task-Based fMRI Data via Hybrid Spatiotemporal Neural Architecture Search Net. MICCAI (3) 2019: 745-753 - [e9]Dinggang Shen, Tianming Liu, Terry M. Peters, Lawrence H. Staib, Caroline Essert, Sean Zhou, Pew-Thian Yap, Ali R. Khan:
Medical Image Computing and Computer Assisted Intervention - MICCAI 2019 - 22nd International Conference, Shenzhen, China, October 13-17, 2019, Proceedings, Part I. Lecture Notes in Computer Science 11764, Springer 2019, ISBN 978-3-030-32238-0 [contents] - [e8]Dinggang Shen, Tianming Liu, Terry M. Peters, Lawrence H. Staib, Caroline Essert, Sean Zhou, Pew-Thian Yap, Ali R. Khan:
Medical Image Computing and Computer Assisted Intervention - MICCAI 2019 - 22nd International Conference, Shenzhen, China, October 13-17, 2019, Proceedings, Part II. Lecture Notes in Computer Science 11765, Springer 2019, ISBN 978-3-030-32244-1 [contents] - [e7]Dinggang Shen, Tianming Liu, Terry M. Peters, Lawrence H. Staib, Caroline Essert, Sean Zhou, Pew-Thian Yap, Ali R. Khan:
Medical Image Computing and Computer Assisted Intervention - MICCAI 2019 - 22nd International Conference, Shenzhen, China, October 13-17, 2019, Proceedings, Part III. Lecture Notes in Computer Science 11766, Springer 2019, ISBN 978-3-030-32247-2 [contents] - [e6]Dinggang Shen, Tianming Liu, Terry M. Peters, Lawrence H. Staib, Caroline Essert, Sean Zhou, Pew-Thian Yap, Ali R. Khan:
Medical Image Computing and Computer Assisted Intervention - MICCAI 2019 - 22nd International Conference, Shenzhen, China, October 13-17, 2019, Proceedings, Part IV. Lecture Notes in Computer Science 11767, Springer 2019, ISBN 978-3-030-32250-2 [contents] - [e5]Dinggang Shen, Tianming Liu, Terry M. Peters, Lawrence H. Staib, Caroline Essert, Sean Zhou, Pew-Thian Yap, Ali R. Khan:
Medical Image Computing and Computer Assisted Intervention - MICCAI 2019 - 22nd International Conference, Shenzhen, China, October 13-17, 2019, Proceedings, Part V. Lecture Notes in Computer Science 11768, Springer 2019, ISBN 978-3-030-32253-3 [contents] - [e4]Dinggang Shen, Tianming Liu, Terry M. Peters, Lawrence H. Staib, Caroline Essert, Sean Zhou, Pew-Thian Yap, Ali R. Khan:
Medical Image Computing and Computer Assisted Intervention - MICCAI 2019 - 22nd International Conference, Shenzhen, China, October 13-17, 2019, Proceedings, Part VI. Lecture Notes in Computer Science 11769, Springer 2019, ISBN 978-3-030-32225-0 [contents] - 2018
- [j82]Tuo Zhang, Jun Kong, Ke Jing, Hanbo Chen, Xi Jiang, Longchuan Li, Lei Guo, Jianfeng Lu, Xiaoping Hu, Tianming Liu:
Optimization of macaque brain DMRI connectome by neuron tracing and myelin stain data. Comput. Medical Imaging Graph. 69: 9-20 (2018) - [j81]Bao Ge, Xiang Li, Xi Jiang, Yifei Sun, Tianming Liu:
A Dictionary Learning Approach for Signal Sampling in Task-Based fMRI for Reduction of Big Data. Frontiers Neuroinformatics 12: 17 (2018) - [j80]Yu Zhao, Fangfei Ge, Tianming Liu:
Automatic recognition of holistic functional brain networks using iteratively optimized convolutional neural networks (IO-CNN) with weak label initialization. Medical Image Anal. 47: 111-126 (2018) - [j79]Jing Yuan, Xiang Li, Jinhe Zhang, Liao Luo, Qinglin Dong, Jinglei Lv, Yu Zhao, Xi Jiang, Shu Zhang, Wei Zhang, Tianming Liu:
Spatio-temporal modeling of connectome-scale brain network interactions via time-evolving graphs. NeuroImage 180(Part): 350-369 (2018) - [j78]Shijie Zhao, Junwei Han, Xi Jiang, Heng Huang, Huan Liu, Jinglei Lv, Lei Guo, Tianming Liu:
Decoding Auditory Saliency from Brain Activity Patterns during Free Listening to Naturalistic Audio Excerpts. Neuroinformatics 16(3-4): 309-324 (2018) - [j77]Junhui Gong, Xiaoyan Liu, Tianming Liu, Jiansong Zhou, Gang Sun, Juanxiu Tian:
Dual Temporal and Spatial Sparse Representation for Inferring Group-Wise Brain Networks From Resting-State fMRI Dataset. IEEE Trans. Biomed. Eng. 65(5): 1035-1048 (2018) - [j76]Xi Jiang, Xiang Li, Jinglei Lv, Shijie Zhao, Shu Zhang, Wei Zhang, Tuo Zhang, Junwei Han, Lei Guo, Tianming Liu:
Temporal Dynamics Assessment of Spatial Overlap Pattern of Functional Brain Networks Reveals Novel Functional Architecture of Cerebral Cortex. IEEE Trans. Biomed. Eng. 65(6): 1183-1192 (2018) - [j75]Yu Zhao, Qinglin Dong, Shu Zhang, Wei Zhang, Hanbo Chen, Xi Jiang, Lei Guo, Xintao Hu, Junwei Han, Tianming Liu:
Automatic Recognition of fMRI-Derived Functional Networks Using 3-D Convolutional Neural Networks. IEEE Trans. Biomed. Eng. 65(9): 1975-1984 (2018) - [j74]Jing Zhang, Tianming Liu, Gopikrishna Deshpande:
Probabilistic Methods in Computational Neuroscience. IEEE ACM Trans. Comput. Biol. Bioinform. 15(2): 535-536 (2018) - [j73]Heng Huang, Xintao Hu, Yu Zhao, Milad Makkie, Qinglin Dong, Shijie Zhao, Lei Guo, Tianming Liu:
Modeling Task fMRI Data Via Deep Convolutional Autoencoder. IEEE Trans. Medical Imaging 37(7): 1551-1561 (2018) - [j72]Nian Liu, Junwei Han, Tianming Liu, Xuelong Li:
Learning to Predict Eye Fixations via Multiresolution Convolutional Neural Networks. IEEE Trans. Neural Networks Learn. Syst. 29(2): 392-404 (2018) - [c164]Yang Shi, Fangyu Li, Tianming Liu, Fred R. Beyette, Wen-Zhan Song:
Dynamic Time-frequency Feature Extraction for Brain Activity Recognition. EMBC 2018: 3104-3107 - [c163]Shu Zhang, Tuo Zhang, Xiao Li, Lei Guo, Tianming Liu:
Joint representation of cortical folding, structural connectivity and functional networks. ISBI 2018: 1-5 - [c162]Huan Liu, Shijie Zhao, Xi Jiang, Shu Zhang, Xintao Hu, Lei Quo, Tianming Liu:
Characterizing task-evoked and intrinsic functional networks from task-based fMRI data via two-stage sparse dictionary learning. ISBI 2018: 70-73 - [c161]Fangfei Ge, Jinglei Lv, Xintao Hu, Lei Guo, Junwei Han, Shijie Zhao, Tianming Liu:
Exploring intrinsic networks and their interactions using group wise temporal sparse coding. ISBI 2018: 74-77 - [c160]Heng Huang, Xintao Hu, Qinglin Dong, Shijie Zhao, Shu Zhang, Yu Zhao, Lei Quo, Tianming Liu:
Modeling task fMRI data via mixture of deep expert networks. ISBI 2018: 82-86 - [c159]Wei Zhang, Jinglei Lv, Shu Zhang, Yu Zhao, Tianming Liu:
Modeling resting state fMRI data via longitudinal supervised stochastic coordinate coding. ISBI 2018: 127-131 - [c158]Lei Li, Xintao Hu, Heng Huang, Chunlin He, Liting Wang, Junwei Han, Lei Quo, Wei Zhang, Tianming Liu:
Latent source mining of fMRI data via deep belief network. ISBI 2018: 595-598 - [c157]Fangfei Ge, Hanbo Chen, Tuo Zhang, Xianqiao Wang, Lin Yuan, Xintao Hu, Lei Guo, Tianming Liu:
A novel framework for analyzing cortical folding patterns based on sulcal baselines and gyral crestlines. ISBI 2018: 1043-1047 - [c156]Tuo Zhang, Xiao Li, Lin Zhao, Ying Huang, Lei Guo, Tianming Liu:
Identification of Species-Preserved Cortical Landmarks. MICCAI (3) 2018: 89-97 - [c155]Yu Zhao, Fangfei Ge, Shu Zhang, Tianming Liu:
3D Deep Convolutional Neural Network Revealed the Value of Brain Network Overlap in Differentiating Autism Spectrum Disorder from Healthy Controls. MICCAI (3) 2018: 172-180 - [c154]Yu Zhao, Xiang Li, Wei Zhang, Shijie Zhao, Milad Makkie, Mo Zhang, Quanzheng Li, Tianming Liu:
Modeling 4D fMRI Data via Spatio-Temporal Convolutional Neural Networks (ST-CNN). MICCAI (3) 2018: 181-189 - [c153]Yan Cui, Shijie Zhao, Han Wang, Li Xie, Yaowu Chen, Junwei Han, Lei Guo, Fan Zhou, Tianming Liu:
Identifying Brain Networks of Multiple Time Scales via Deep Recurrent Neural Network. MICCAI (3) 2018: 284-292 - [c152]Yu Zhao, Shu Liao, Yimo Guo, Liang Zhao, Zhennan Yan, Sungmin Hong, Gerardo Hermosillo, Tianming Liu, Xiang Sean Zhou, Yiqiang Zhan:
Towards MR-Only Radiotherapy Treatment Planning: Synthetic CT Generation Using Multi-view Deep Convolutional Neural Networks. MICCAI (1) 2018: 286-294 - [c151]Shu Zhang, Tianming Liu, Dajiang Zhu:
Exploring Fiber Skeletons via Joint Representation of Functional Networks and Structural Connectivity. MICCAI (3) 2018: 357-366 - [i4]Yu Zhao, Xiang Li, Wei Zhang, Shijie Zhao, Milad Makkie, Mo Zhang, Quanzheng Li, Tianming Liu:
Modeling 4D fMRI Data via Spatio-Temporal Convolutional Neural Networks (ST-CNN). CoRR abs/1805.12564 (2018) - 2017
- [j71]Hanbo Chen, Daniel Maxim Iascone, Nuno Maçarico da Costa, Ed S. Lein, Tianming Liu, Hanchuan Peng:
Fast assembling of neuron fragments in serial 3D sections. Brain Informatics 4(3): 183-186 (2017) - [j70]Mir Jalil Razavi, Tuo Zhang, Hanbo Chen, Yujie Li, Simon Platt, Yu Zhao, Lei Guo, Xiaoping Hu, Xianqiao Wang, Tianming Liu:
Radial Structure Scaffolds Convolution Patterns of Developing Cerebral Cortex. Frontiers Comput. Neurosci. 11: 76 (2017) - [j69]Tuo Zhang, Mir Jalil Razavi, Hanbo Chen, Yujie Li, Xiao Li, Longchuan Li, Lei Guo, Xiaoping Hu, Tianming Liu, Xianqiao Wang:
Mechanisms of circumferential gyral convolution in primate brains. J. Comput. Neurosci. 42(3): 217-229 (2017) - [j68]Jinglei Lv, Binbin Lin, Qingyang Li, Wei Zhang, Yu Zhao, Xi Jiang, Lei Guo, Junwei Han, Xintao Hu, Christine Cong Guo, Jieping Ye, Tianming Liu:
Task fMRI data analysis based on supervised stochastic coordinate coding. Medical Image Anal. 38: 1-16 (2017) - [j67]Hanbo Chen, Yujie Li, Fangfei Ge, Gang Li, Dinggang Shen, Tianming Liu:
Gyral net: A new representation of cortical folding organization. Medical Image Anal. 42: 14-25 (2017) - [j66]Yu Zhao, Qinglin Dong, Hanbo Chen, Armin Iraji, Yujie Li, Milad Makkie, Zhifeng Kou, Tianming Liu:
Constructing fine-granularity functional brain network atlases via deep convolutional autoencoder. Medical Image Anal. 42: 200-211 (2017) - [j65]Yujie Li, Hanbo Chen, Xi Jiang, Xiang Li, Jinglei Lv, Meng Li, Hanchuan Peng, Joe Z. Tsien, Tianming Liu:
Transcriptome Architecture of Adult Mouse Brain Revealed by Sparse Coding of Genome-Wide In Situ Hybridization Images. Neuroinformatics 15(3): 285-295 (2017) - [c150]Heng Huang, Xintao Hu, Milad Makkie, Qinglin Dong, Yu Zhao, Junwei Han, Lei Guo, Tianming Liu:
Modeling Task fMRI Data via Deep Convolutional Autoencoder. IPMI 2017: 411-424 - [c149]Yu Zhao, Xiang Li, Milad Makkie, Shannon Quinn, Binbin Lin, Jieping Ye, Tianming Liu:
Template-guided Functional Network Identification via Supervised Dictionary Learning. ISBI 2017: 72-76 - [c148]Yu Zhao, Shu Zhang, Hanbo Chen, Wei Zhang, Jinglei Lv, Xi Jiang, Dinggang Shen, Tianming Liu:
A novel framework for groupwise registration of fMRI images based on common functional networks. ISBI 2017: 485-489 - [c147]Xiao Li, Tuo Zhang, Qinglin Dong, Shu Zhang, Xintao Hu, Lei Du, Lei Guo, Tianming Liu:
Predicting cortical 3-hinge locations via structural connective features. ISBI 2017: 533-537 - [c146]Hanbo Chen, Yu Zhao, Yujie Li, Jinglei Lv, Tianming Liu:
Inter-subject fMRI registration based on functional networks. ISBI 2017: 863-867 - [c145]Shu Zhang, Xiang Li, Lei Guo, Tianming Liu:
Exploring human brain activation via nested sparse coding and functional operators. ISBI 2017: 947-951 - [c144]Lin Yuan, Tianming Liu, Dewen Hu:
Group-wise sparse representation of resting-state fMRI data for better understanding of schizophrenia. ISBI 2017: 952-956 - [c143]Huan Liu, Mianzhi Zhang, Xintao Hu, Yudan Ren,