| LCU-Net: A Novel Low-cost U-Net for Environmental Microorganism Image Segmentation J Zhang, C Li, S Kosov, M Grzegorzek, K Shirahama, T Jiang, C Sun, Z Li, ... Pattern Recognition 115, 107885, 2021 | 159 | 2021 |
| An Application of Transfer Learning and Ensemble Learning Techniques for Cervical Histopathology Image Classification D Xue, X Zhou, C Li, Y Yao, M Rahaman, J Zhang, H Chen, H Sun, ... IEEE Access 8, 104603-104618, 2020 | 114 | 2020 |
| Applications of artificial neural networks in microorganism image analysis: a comprehensive review from conventional multilayer perceptron to popular convolutional neural … J Zhang, C Li, Y Yin, J Zhang, M Grzegorzek Artificial Intelligence Review 56, 1013–1070, 2022 | 92 | 2022 |
| A comprehensive review of image analysis methods for microorganism counting: from classical image processing to deep learning approaches J Zhang, C Li, MM Rahaman, Y Yao, P Ma, J Zhang, X Zhao, T Jiang, ... Artificial Intelligence Review 55, 2875–2944, 2021 | 92 | 2021 |
| Gastric histopathology image segmentation using a hierarchical conditional random field C Sun, C Li, J Zhang, MM Rahaman, S Ai, H Chen, F Kulwa, Y Li, X Li, ... Biocybernetics and Biomedical Engineering 40 (4), 1535-1555, 2020 | 41 | 2020 |
| A new pairwise deep learning feature for environmental microorganism image analysis F Kulwa, C Li, J Zhang, K Shirahama, S Kosov, X Zhao, T Jiang, ... Environmental Science and Pollution Research 29, 51909–51926, 2022 | 36 | 2022 |
| A Review of Clustering Methods in Microorganism Image Analysis C Li, F Kulwa, J Zhang, Z Li, H Xu, X Zhao Advances in Intelligent Systems and Computing 1186, 13-25, 2020 | 33 | 2020 |
| A state-of-the-art review for Gastric Histopathology image Analysis approaches and future development S Ai, C Li, X Li, T Jiang, M Grzegorzek, C Sun, MM Rahaman, J Zhang, ... BioMed Research International 2021, 6671417, 2021 | 31 | 2021 |
| An enhanced framework of generative adversarial networks (EF-GANs) for environmental microorganism image augmentation with limited rotation-invariant training data H Xu, C Li, MM Rahaman, Y Yao, Z Li, J Zhang, F Kulwa, X Zhao, S Qi, ... IEEE Access 8, 187455-187469, 2020 | 31 | 2020 |
| A Multiscale CNN-CRF Framework for Environmental Microorganism Image Segmentation J Zhang, C Li, F Kulwa, X Zhao, C Sun, Z Li, T Jiang, H Li, S Qi BioMed Research International 2020, 4621403, 2020 | 24 | 2020 |
| EMDS-5: Environmental Microorganism image dataset Fifth Version for multiple image analysis tasks Z Li, C Li, Y Yao, J Zhang, MM Rahaman, H Xu, F Kulwa, B Lu, X Zhu, ... Plos one 16 (5), e0250631, 2021 | 18 | 2021 |
| Hierarchical conditional random field model for multi-object segmentation in gastric histopathology images C Sun, C Li, J Zhang, F Kulwa, X Li Electronics Letters 56 (15), 750--753, 2020 | 14 | 2020 |
| SEM-RCNN: A Squeeze-and-Excitation-Based Mask Region Convolutional Neural Network for Multi-Class Environmental Microorganism Detection J Zhang, P Ma, T Jiang, X Zhao, W Tan, J Zhang, S Zou, X Huang, ... Applied Sciences 12 (19), 9902, 2022 | 12 | 2022 |
| A Comprehensive Survey with Quantitative Comparison of Image Analysis Methods for Microorganism Biovolume Measurements J Zhang, C Li, MM Rahaman, Y Yao, P Ma, J Zhang, X Zhao, T Jiang, ... Archives of Computational Methods in Engineering 30, 639–673, 2022 | 11 | 2022 |
| MRFU-Net: A Multiple Receptive Field U-Net for Environmental Microorganism Image Segmentation C Li, J Zhang, X Zhao, F Kulwa, Z Li, H Xu, H Li Advances in Intelligent Systems and Computing 1186, 27-40, 2020 | 8 | 2020 |
| An application of Pixel Interval Down-sampling (PID) for dense tiny microorganism counting on environmental microorganism images J Zhang, X Zhao, T Jiang, MM Rahaman, Y Yao, YH Lin, J Zhang, A Pan, ... Applied Sciences 12 (14), 7314, 2022 | 7 | 2022 |
| Deep learning for finger vein recognition: A brief survey of recent trend R Zhang, Y Yin, W Deng, C Li, J Zhang Proc. of ISICDM 2023, 2023 | 6 | 2023 |
| Comparative study for patch-level and pixel-level segmentation of deep learning methods on transparent images of environmental microorganisms: from convolutional neural … H Yang, X Zhao, T Jiang, J Zhang, P Zhao, A Chen, M Grzegorzek, S Qi, ... Applied Sciences 12 (18), 9321, 2022 | 6 | 2022 |
| Artificial Neural Networks for Finger Vein Recognition: A Survey Y Yin, R Zhang, P Liu, W Deng, S He, C Li, J Zhang arXiv preprint arXiv:2208.13341, 2022 | 5 | 2022 |
| A cervical histopathology image clustering approach using graph based features C Li, Z Hu, H Chen, S Ai, J Zhang, Y Zhang, Q Wang, X Li SN Computer Science 2, 1-20, 2021 | 5 | 2021 |
Chen LiNortheastern University, ChinaVerified email at bmie.neu.edu.cn
