Liangliang Liu

41 papers B 1Journal 28Unranked 12

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	A CNN Network for Coronary Chronic Total Occlusion State Classification Using Image Data. IEEE Access Zi-Tong Guo, Liangliang Liu, Haoyan Jiang, Jing Tao, Yining Yang
2026	J	`jnl`	A continuously coupled attention neural network for MSI status classification in whole slide images. Biomed. Signal Process. Control. Zhongqiang Pan, Xiangyu Li, Liangliang Liu
2026	J	`jnl`	LLM2image: A novel framework for accurate diagnosis of diarrhea viruses using pathological images and semantic information. Comput. Medical Imaging Graph. Liangliang Liu, Zizhao Niu, Fengjie Zhao, Longxian Zhang
2025	—	`conf`	A Breast Cancer Biomarker Prediction Method Based on Cross-Modal Adaptive Attention Collaboration. BIBM Shuaihao Wang, Zhihong Liu, Liangliang Liu
2025	J	`jnl`	Automatic porcine diarrhea viruses classification using pathological images and hybrid semantic neural network. Comput. Biol. Medicine Liangliang Liu, Jinpu Xie, Fengjie Zhao, Jing Chang, Yurong Yang, Zi-Tong Guo, Longxian Zhang
2025	—	`conf`	M BIBM Xiangyu Li, Ran Su, Liangliang Liu
2025	J	`jnl`	Transformers in pathological image analysis: A survey. Eng. Appl. Artif. Intell. Liangliang Liu, Zhihong Liu, Jinpu Xie, Hongbo Qiao, Jing Chang
2024	—	`conf`	A Hybrid Feature Fusion Network for Predicting HER2 Status on H &E-Stained Histopathology Images. ISBRA (2) Pei Zhang, Zhihong Liu, Liangliang Liu
2024	J	`jnl`	A multi-modal extraction integrated model for neuropsychiatric disorders classification. Pattern Recognit. Liangliang Liu, Zhihong Liu, Jing Chang, Xue Xu
2024	J	`jnl`	Collaborative Transfer Network for Multi-Classification of Breast Cancer Histopathological Images. IEEE J. Biomed. Health Informatics Liangliang Liu, Ying Wang, Pei Zhang, Hongbo Qiao, Tong Sun, Hui Zhang, Xue Xu, Hongcai Shang
2024	J	`jnl`	GVC-YOLO: A Lightweight Real-Time Detection Method for Cotton Aphid-Damaged Leaves Based on Edge Computing. Remote. Sens. Zhenyu Zhang, Yunfan Yang, Xin Xu, Liangliang Liu, Jibo Yue, Ruifeng Ding, Yanhui Lu, Jie Liu, Hongbo Qiao
2024	J	`jnl`	H-Net: Heterogeneous Neural Network for Multi-Classification of Neuropsychiatric Disorders. IEEE J. Biomed. Health Informatics Liangliang Liu, Jinpu Xie, Jing Chang, Zhihong Liu, Tong Sun, Hongbo Qiao, Gongbo Liang, Wei Guo
2024	—	`conf`	Patch-Based Coupled Attention Network to Predict MSI Status in Colon Cancer. ISBRA (2) Xiangyu Li, Liangliang Liu
2023	J	`jnl`	A spatiotemporal correlation deep learning network for brain penumbra disease. Neurocomputing Liangliang Liu, Pei Zhang, Gongbo Liang, Shufeng Xiong, Jianxin Wang, Guang Zheng
2023	J	`jnl`	Hybrid Contextual Semantic Network for Accurate Segmentation and Detection of Small-Size Stroke Lesions From MRI. IEEE J. Biomed. Health Informatics Liangliang Liu, Jing Chang, Zhihong Liu, Pei Zhang, Xue Xu, Hongcai Shang
2023	J	`jnl`	SASG-GCN: Self-Attention Similarity Guided Graph Convolutional Network for Multi-Type Lower-Grade Glioma Classification. IEEE J. Biomed. Health Informatics Liangliang Liu, Jing Chang, Pei Zhang, Hongbo Qiao, Shufeng Xiong
2023	J	`jnl`	Simulated Quantum Mechanics-Based Joint Learning Network for Stroke Lesion Segmentation and TICI Grading. IEEE J. Biomed. Health Informatics Liangliang Liu, Jing Chang, Gongbo Liang, Shufeng Xiong
2023	J	`jnl`	TRIMOON: Two-Round Inconsistency-based Multi-modal fusion Network for fake news detection. Inf. Fusion Shufeng Xiong, Guipei Zhang, Vishwash Batra, Lei Xi, Lei Shi, Liangliang Liu
2022	J	`jnl`	An Ensemble Hybrid Feature Selection Method for Neuropsychiatric Disorder Classification. IEEE ACM Trans. Comput. Biol. Bioinform. Liangliang Liu, Shaojie Tang, Fang-Xiang Wu, Yu-Ping Wang, Jianxin Wang
2022	J	`jnl`	An enhanced multi-modal brain graph network for classifying neuropsychiatric disorders. Medical Image Anal. Liangliang Liu, Yu-Ping Wang, Yi Wang, Pei Zhang, Shufeng Xiong
2022	J	`jnl`	Automated Diagnosis of COVID-19 Using Deep Supervised Autoencoder With Multi-View Features From CT Images. IEEE ACM Trans. Comput. Biol. Bioinform. Jianhong Cheng, Wei Zhao, Jin Liu, Xingzhi Xie, Shangjie Wu, Liangliang Liu, Hailin Yue, Junjian Li, Jianxin Wang, Jun Liu
2022	—	`conf`	Beware the Black-Box of Medical Image Generation: an Uncertainty Analysis by the Learned Feature Space. EMBC Yunni Qu, David Yan, Eric Xing, Fengbo Zheng, Jie Zhang, Liangliang Liu, Gongbo Liang
2022	J	`jnl`	Development of CNN models for the enteral feeding tube positioning assessment on a small scale data set. BMC Medical Imaging Gongbo Liang, Halemane Ganesh, Dylan Steffe, Liangliang Liu, Nathan Jacobs, Jie Zhang
2022	J	`jnl`	LLRHNet: Multiple Lesions Segmentation Using Local-Long Range Features. Frontiers Neuroinformatics Liangliang Liu, Ying Wang, Jing Chang, Pei Zhang, Gongbo Liang, Hui Zhang
2022	B	`conf`	Neural Network Decision-Making Criteria Consistency Analysis via Inputs Sensitivity. ICPR Eric Xing, Liangliang Liu, Xin Xing, Yunni Qu, Nathan Jacobs, Gongbo Liang
2021	—	`conf`	Alzheimer's Disease Classification Using 2D Convolutional Neural Networks. EMBC Gongbo Liang, Xin Xing, Liangliang Liu, Yu Zhang, Qi Ying, Ai-Ling Lin, Nathan Jacobs
2021	J	`jnl`	Co-optimization Learning Network for MRI Segmentation of Ischemic Penumbra Tissues. Frontiers Neuroinformatics Liangliang Liu, Jing Zhang, Jin-xiang Wang, Shufeng Xiong, Hui Zhang
2021	—	`conf`	Multi-Modal Data Analysis for Alzheimer's Disease Diagnosis: An Ensemble Model Using Imagery and Genetic Features. EMBC Qi Ying, Xin Xing, Liangliang Liu, Ai-Ling Lin, Nathan Jacobs, Gongbo Liang
2020	J	`jnl`	A survey on U-shaped networks in medical image segmentations. Neurocomputing Liangliang Liu, Jianhong Cheng, Quan Quan, Fang-Xiang Wu, Yu-Ping Wang, Jianxin Wang
2020	J	`jnl`	Attention convolutional neural network for accurate segmentation and quantification of lesions in ischemic stroke disease. Medical Image Anal. Liangliang Liu, Lukasz A. Kurgan, Fang-Xiang Wu, Jianxin Wang
2020	J	`jnl`	Deep convolutional neural network for accurate segmentation and quantification of white matter hyperintensities. Neurocomputing Liangliang Liu, Shaowu Chen, Xiaofeng Zhu, Xing-Ming Zhao, Fang-Xiang Wu, Jianxin Wang
2020	J	`jnl`	Deep convolutional neural network for automatically segmenting acute ischemic stroke lesion in multi-modality MRI. Neural Comput. Appl. Liangliang Liu, Shaowu Chen, Fuhao Zhang, Fang-Xiang Wu, Yi Pan, Jianxin Wang
2020	—	`conf`	Local Adaptive U-net for Medical Image Segmentation. BIBM Ning Liu, Liangliang Liu, Jianxin Wang
2020	J	`jnl`	Multi-Receptive-Field CNN for Semantic Segmentation of Medical Images. IEEE J. Biomed. Health Informatics Liangliang Liu, Fang-Xiang Wu, Yu-Ping Wang, Jianxin Wang
2019	J	`jnl`	Automatic ICD code assignment of Chinese clinical notes based on multilayer attention BiRNN. J. Biomed. Informatics Ying Yu, Min Li, Liangliang Liu, Zhihui Fei, Fang-Xiang Wu, Jianxin Wang
2019	J	`jnl`	Clinical big data and deep learning: Applications, challenges, and future outlooks. Big Data Min. Anal. Ying Yu, Min Li, Liangliang Liu, Yaohang Li, Jianxin Wang
2019	J	`jnl`	Efficient multi-kernel DCNN with pixel dropout for stroke MRI segmentation. Neurocomputing Liangliang Liu, Fang-Xiang Wu, Jianxin Wang
2019	—	`conf`	Multi-level Glioma Segmentation using 3D U-Net Combined Attention Mechanism with Atrous Convolution. BIBM Jianhong Cheng, Jin Liu, Liangliang Liu, Yi Pan, Jianxin Wang
2019	—	`conf`	Tentative diagnosis prediction via deep understanding of patient narratives. BIBM Ying Yu, Min Li, Liangliang Liu, Fang-Xiang Wu, Jianxin Wang
2018	—	`conf`	Multi-scale Deep Convolutional Neural Network for Stroke Lesions Segmentation on CT Images. BrainLes@MICCAI (1) Liangliang Liu, Shuai Yang, Li Meng, Min Li, Jianxin Wang
2017	—	`conf`	An interpretable model for predicting side effects of analgesics for osteoarthritis. BIBM Liangliang Liu, Jianxin Wang, Min Li, Fang-Xiang Wu, Hong-Dong Li, Ying Yu, Zhihui Fei