| Comparison of feature learning methods for human activity recognition using wearable sensors F Li, K Shirahama, MA Nisar, L Köping, M Grzegorzek Sensors 18 (2), 679, 2018 | 328 | 2018 |
| A comprehensive review of computer-aided whole-slide image analysis: from datasets to feature extraction, segmentation, classification and detection approaches X Li, C Li, MM Rahaman, H Sun, X Li, J Wu, Y Yao, M Grzegorzek Artificial Intelligence Review 55 (6), 4809-4878, 2022 | 192 | 2022 |
| 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 | 192 | 2021 |
| GasHis-Transformer: A multi-scale visual transformer approach for gastric histopathological image detection H Chen, C Li, G Wang, X Li, MM Rahaman, H Sun, W Hu, Y Li, W Liu, ... Pattern Recognition 130, 108827, 2022 | 171 | 2022 |
| 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 (2), 1013-1070, 2023 | 161 | 2023 |
| CVM-Cervix: A hybrid cervical Pap-smear image classification framework using CNN, visual transformer and multilayer perceptron W Liu, C Li, N Xu, T Jiang, MM Rahaman, H Sun, X Wu, W Hu, H Chen, ... Pattern Recognition 130, 108829, 2022 | 133 | 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, 1-70, 2022 | 132 | 2022 |
| IL-MCAM: An interactive learning and multi-channel attention mechanism-based weakly supervised colorectal histopathology image classification approach H Chen, C Li, X Li, MM Rahaman, W Hu, Y Li, W Liu, C Sun, H Sun, ... Computers in Biology and Medicine 143, 105265, 2022 | 103 | 2022 |
| Deep malaria parasite detection in thin blood smear microscopic images A Maqsood, MS Farid, MH Khan, M Grzegorzek Applied Sciences 11 (5), 2284, 2021 | 100 | 2021 |
| Environmental microorganism classification using conditional random fields and deep convolutional neural networks S Kosov, K Shirahama, C Li, M Grzegorzek Pattern recognition 77, 248-261, 2018 | 87 | 2018 |
| A general framework for sensor-based human activity recognition L Köping, K Shirahama, M Grzegorzek Computers in biology and medicine 95, 248-260, 2018 | 84 | 2018 |
| GasHisSDB: A new gastric histopathology image dataset for computer aided diagnosis of gastric cancer W Hu, C Li, X Li, MM Rahaman, J Ma, Y Zhang, H Chen, W Liu, C Sun, ... Computers in biology and medicine 142, 105207, 2022 | 76 | 2022 |
| A state-of-the-art survey of object detection techniques in microorganism image analysis: from classical methods to deep learning approaches P Ma, C Li, MM Rahaman, Y Yao, J Zhang, S Zou, X Zhao, M Grzegorzek Artificial Intelligence Review 56 (2), 1627-1698, 2023 | 74 | 2023 |
| SVIA dataset: A new dataset of microscopic videos and images for computer-aided sperm analysis A Chen, C Li, S Zou, MM Rahaman, Y Yao, H Chen, H Yang, P Zhao, ... Biocybernetics and Biomedical Engineering 42 (1), 204-214, 2022 | 68 | 2022 |
| Comparison of 2.4 GHz WiFi FTM-and RSSI-based indoor positioning methods in realistic scenarios M Bullmann, T Fetzer, F Ebner, M Ebner, F Deinzer, M Grzegorzek Sensors 20 (16), 4515, 2020 | 68 | 2020 |
| Ai approaches towards Prechtl’s assessment of general movements: A systematic literature review MT Irshad, MA Nisar, P Gouverneur, M Rapp, M Grzegorzek Sensors 20 (18), 5321, 2020 | 65 | 2020 |
| Semantic multimedia S Staab, A Scherp, R Arndt, R Troncy, M Grzegorzek, C Saathoff, ... Reasoning Web, Springer LNCS 5224, 125-170, 2008 | 65 | 2008 |
| Deep transfer learning for time series data based on sensor modality classification F Li, K Shirahama, MA Nisar, X Huang, M Grzegorzek Sensors 20 (15), 4271, 2020 | 64 | 2020 |
| Application of transfer learning and ensemble learning in image-level classification for breast histopathology Y Zheng, C Li, X Zhou, H Chen, H Xu, Y Li, H Zhang, X Li, H Sun, ... Intelligent Medicine 3 (02), 115-128, 2023 | 63 | 2023 |
| Is the aspect ratio of cells important in deep learning? A robust comparison of deep learning methods for multi-scale cytopathology cell image classification: From … W Liu, C Li, MM Rahaman, T Jiang, H Sun, X Wu, W Hu, H Chen, C Sun, ... Computers in biology and medicine 141, 105026, 2022 | 63 | 2022 |
Chen LiNortheastern University, ChinaVerified email at bmie.neu.edu.cn
