| 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 | 74 | 2022 |
| 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 | 53 | 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 | 39 | 2023 |
| Sleep stage classification for child patients using DeConvolutional Neural Network X Huang, K Shirahama, F Li, M Grzegorzek Artificial intelligence in medicine 110, 101981, 2020 | 30 | 2020 |
| TOD-CNN: An effective convolutional neural network for tiny object detection in sperm videos S Zou, C Li, H Sun, P Xu, J Zhang, P Ma, Y Yao, X Huang, M Grzegorzek Computers in Biology and Medicine 146, 105543, 2022 | 25 | 2022 |
| A state-of-the-art survey of artificial neural networks for whole-slide image analysis: from popular convolutional neural networks to potential visual transformers W Hu, X Li, C Li, R Li, T Jiang, H Sun, X Huang, M Grzegorzek, X Li Computers in Biology and Medicine 161, 107034, 2023 | 22 | 2023 |
| Rank pooling approach for wearable sensor-based ADLs recognition MA Nisar, K Shirahama, F Li, X Huang, M Grzegorzek Sensors 20 (12), 3463, 2020 | 20 | 2020 |
| SenseHunger: Machine learning approach to hunger detection using wearable sensors MT Irshad, MA Nisar, X Huang, J Hartz, O Flak, F Li, P Gouverneur, A Piet, ... Sensors 22 (20), 7711, 2022 | 15 | 2022 |
| Sleep stage classification in children using self-attention and Gaussian noise data augmentation X Huang, K Shirahama, MT Irshad, MA Nisar, A Piet, M Grzegorzek Sensors 23 (7), 3446, 2023 | 13 | 2023 |
| 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 comparative study of gastric histopathology sub-size image classification: From linear regression to visual transformer W Hu, H Chen, W Liu, X Li, H Sun, X Huang, M Grzegorzek, C Li Frontiers in Medicine 9, 1072109, 2022 | 8 | 2022 |
| Full-automatic computer aided system for stem cell clustering using content-based microscopic image analysis C Li, X Huang, T Jiang, N Xu Biocybernetics and Biomedical Engineering 37 (3), 540-558, 2017 | 8 | 2017 |
| Stem cell microscopic image segmentation using supervised normalized cuts X Huang, C Li, M Shen, K Shirahama, J Nyffeler, M Leist, M Grzegorzek, ... 2016 IEEE International Conference on Image Processing (ICIP), 4140-4144, 2016 | 8 | 2016 |
| EMDS-7: Environmental microorganism image dataset seventh version for multiple object detection evaluation H Yang, C Li, X Zhao, B Cai, J Zhang, P Ma, P Zhao, A Chen, T Jiang, ... Frontiers in Microbiology 14, 1084312, 2023 | 7 | 2023 |
| A state-of-the-art survey of U-Net in microscopic image analysis: From simple usage to structure mortification J Wu, W Liu, C Li, T Jiang, IM Shariful, Y Yao, H Sun, X Li, X Li, X Huang, ... Neural Computing and Applications 36 (7), 3317-3346, 2024 | 6 | 2024 |
| Wearable-based human flow experience recognition enhanced by transfer learning methods using emotion data MT Irshad, F Li, MA Nisar, X Huang, M Buss, L Kloep, C Peifer, ... Computers in Biology and Medicine 166, 107489, 2023 | 3 | 2023 |
| Sensor-based detection of food hypersensitivity using machine learning L Jablonski, T Jensen, GM Ahlemann, X Huang, VV Tetzlaff-Lelleck, ... Proceedings of the 8th international Workshop on Sensor-Based Activity …, 2023 | 2 | 2023 |
| The detection of alcohol intoxication using electrooculography signals from smart glasses and machine learning techniques RJ Doniec, N Piaseczna, K Duraj, S Sieciński, MT Irshad, I Karpiel, ... Systems and Soft Computing 6, 200078, 2024 | 1 | 2024 |
| Optimizing sleep staging on multimodal time series: Leveraging borderline synthetic minority oversampling technique and supervised convolutional contrastive learning X Huang, F Schmelter, MT Irshad, A Piet, MA Nisar, C Sina, M Grzegorzek Computers in Biology and Medicine 166, 107501, 2023 | 1 | 2023 |
| Sensor-Based Sleep Stage Classification Using Deep Learning X Huang Logos Verlag Berlin GmbH, 2023 | 1 | 2023 |
Marcin GrzegorzekFull Professor at the University of LübeckVerified email at uni-luebeck.de
