Zhenbing Liu
Orcid: 0000-0001-6551-4174
According to our database1,
Zhenbing Liu
authored at least 85 papers
between 2009 and 2025.
Collaborative distances:
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Bibliography
2025
IEEE Trans. Instrum. Meas., 2025
2024
Dilation-Supervised Learning: A Novel Strategy for Scale Difference in Retinal Vessel Segmentation.
IEEE Trans. Artif. Intell., April, 2024
AcFusion: Infrared and Visible Image Fusion Based on Self-Attention and Convolution With Enhanced Information Extraction.
IEEE Trans. Consumer Electron., February, 2024
Enhancing infrared images via multi-resolution contrast stretching and adaptive multi-scale detail boosting.
Vis. Comput., January, 2024
IEEE Trans. Intell. Transp. Syst., January, 2024
IEEE Signal Process. Lett., 2024
J. Electronic Imaging, 2024
PA-Net: A phase attention network fusing venous and arterial phase features of CT images for liver tumor segmentation.
Comput. Methods Programs Biomed., 2024
PG-MLIF: Multimodal Low-Rank Interaction Fusion Framework Integrating Pathological Images and Genomic Data for Cancer Prognosis Prediction.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2024, 2024
Mining Gold from the Sand: Weakly Supervised Histological Tissue Segmentation with Activation Relocalization and Mutual Learning.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2024, 2024
Proceedings of the IEEE International Conference on Acoustics, 2024
EOFD-Net: Edge Optimization and Feature Denoising for Weakly Supervised Deep Nuclei Segmentation with Point Annotations.
Proceedings of the IEEE International Conference on Acoustics, 2024
Proceedings of the ECAI 2024 - 27th European Conference on Artificial Intelligence, 19-24 October 2024, Santiago de Compostela, Spain, 2024
2023
Pattern Recognit., November, 2023
Real-Time Video Super-Resolution with Spatio-Temporal Modeling and Redundancy-Aware Inference.
Sensors, September, 2023
DPACFuse: Dual-Branch Progressive Learning for Infrared and Visible Image Fusion with Complementary Self-Attention and Convolution.
Sensors, August, 2023
SMILE: Cost-sensitive multi-task learning for nuclear segmentation and classification with imbalanced annotations.
Medical Image Anal., August, 2023
Artificial intelligence-quantified tumour-lymphocyte spatial interaction predicts disease-free survival in resected lung adenocarcinoma: A graph-based, multicentre study.
Comput. Methods Programs Biomed., August, 2023
PCRTAM-Net: A Novel Pre-Activated Convolution Residual and Triple Attention Mechanism Network for Retinal Vessel Segmentation.
J. Comput. Sci. Technol., June, 2023
Retinex-inspired contrast stretch and detail boosting for lowlight image enhancement.
IET Image Process., May, 2023
Adapting Single-Image Super-Resolution Models to Video Super-Resolution: A Plug-and-Play Approach.
Sensors, 2023
2022
ACM Trans. Multim. Comput. Commun. Appl., 2022
IEEE Trans. Intell. Transp. Syst., 2022
FDMLNet: A Frequency-Division and Multiscale Learning Network for Enhancing Low-Light Image.
Sensors, 2022
Frequency separation-based multi-scale cascading residual block network for image super resolution.
Multim. Tools Appl., 2022
Diagnosis of Alzheimer's disease via an attention-based multi-scale convolutional neural network.
Knowl. Based Syst., 2022
J. Electronic Imaging, 2022
A Novel Dataset and a Deep Learning Method for Mitosis Nuclei Segmentation and Classification.
CoRR, 2022
WSSS4LUAD: Grand Challenge on Weakly-supervised Tissue Semantic Segmentation for Lung Adenocarcinoma.
CoRR, 2022
CoRR, 2022
Attention-inception-based U-Net for retinal vessel segmentation with advanced residual.
Comput. Electr. Eng., 2022
Multi-task generative adversarial learning for nuclei segmentation with dual attention and recurrent convolution.
Biomed. Signal Process. Control., 2022
2021
IEEE Trans. Cybern., 2021
IEEE Trans. Cybern., 2021
IEEE Trans. Cybern., 2021
Signal Image Video Process., 2021
IEEE CAA J. Autom. Sinica, 2021
Comput. Intell. Neurosci., 2021
Comput. Electr. Eng., 2021
Mitosis detection techniques in H&E stained breast cancer pathological images: A comprehensive review.
Comput. Electr. Eng., 2021
Hyperspectral Image Classification Based on Stacked Contractive Autoencoder Combined With Adaptive Spectral-Spatial Information.
IEEE Access, 2021
Proceedings of the 2nd Asia Conference on Computers and Communications, 2021
2020
Wirel. Commun. Mob. Comput., 2020
Prior Knowledge-Based Probabilistic Collaborative Representation for Visual Recognition.
IEEE Trans. Cybern., 2020
Spatiotemporal saliency-based multi-stream networks with attention-aware LSTM for action recognition.
Neural Comput. Appl., 2020
An LBP encoding scheme jointly using quaternionic representation and angular information.
Neural Comput. Appl., 2020
Multi-task deep learning for fine-grained classification and grading in breast cancer histopathological images.
Multim. Tools Appl., 2020
Ensemble of deep convolutional neural networks based multi-modality images for Alzheimer's disease diagnosis.
IET Image Process., 2020
Enterp. Inf. Syst., 2020
Complex background classification network: A deep learning method for urban images classification.
Comput. Electr. Eng., 2020
Multi-scale single image rain removal using a squeeze-and-excitation residual network.
Appl. Soft Comput., 2020
An Adaptive Detail Equalization for Infrared Image Enhancement Based on Multi-Scale Convolution.
IEEE Access, 2020
Proceedings of the Computer Vision - ECCV 2020 Workshops, 2020
2019
Multi-task Deep Learning for Fine-Grained Classification/Grading in Breast Cancer Histopathological Images.
Proceedings of the Cognitive Internet of Things: Frameworks, Tools and Applications, 2019
Medicine Discrimination of NIRS Based on Regularized Collaborative Representation Classification with Gabor Optimizer.
Proceedings of the Cognitive Internet of Things: Frameworks, Tools and Applications, 2019
Hyperspectral image classification using k-sparse denoising autoencoder and spectral-restricted spatial characteristics.
Appl. Soft Comput., 2019
An Accurate Nuclei Segmentation Algorithm in Pathological Image Based on Deep Semantic Network.
IEEE Access, 2019
Supervised Dictionary Learning With Regularization for Near-Infrared Spectroscopy Classification.
IEEE Access, 2019
IEEE Access, 2019
IEEE Access, 2019
Proceedings of the 2019 International Symposium on Intelligent Signal Processing and Communication Systems, 2019
Proceedings of the 2019 IEEE International Conference on Image Processing, 2019
Proceedings of the Eleventh International Conference on Advanced Computational Intelligence, 2019
Proceedings of the 2019 International Conference on Cyber-Enabled Distributed Computing and Knowledge Discovery, 2019
Proceedings of the Pattern Recognition, 2019
Early Diagnosis of Alzheimer's Disease Based on Selective Kernel Network with Spatial Attention.
Proceedings of the Pattern Recognition - 5th Asian Conference, 2019
2018
Cell detection in pathology and microscopy images with multi-scale fully convolutional neural networks.
World Wide Web, 2018
Multim. Tools Appl., 2018
Cost-sensitive collaborative representation based classification via probability estimation with addressing the class imbalance.
Multim. Tools Appl., 2018
Comput. Electr. Eng., 2018
2017
Accurate segmentation of nuclei in pathological images via sparse reconstruction and deep convolutional networks.
Neurocomputing, 2017
Proceedings of the 13th International Conference on Natural Computation, 2017
2016
A Cost-Sensitive Sparse Representation Based Classification for Class-Imbalance Problem.
Sci. Program., 2016
Proceedings of the 4th International Conference on Cloud Computing and Intelligence Systems, 2016
2014
2013
2012
2011
Proceedings of the Advances in Neural Networks - ISNN 2011, 2011
2010
J. Comput., 2010
2009
IEEE Trans. Neural Networks, 2009
Neurocomputing, 2009