Marcin Grzegorzek
Marcin Grzegorzek
Full Professor at the University of Lübeck
Verified email at - Homepage
Cited by
Cited by
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
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
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
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
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
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
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
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
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
Deep malaria parasite detection in thin blood smear microscopic images
A Maqsood, MS Farid, MH Khan, M Grzegorzek
Applied Sciences 11 (5), 2284, 2021
A general framework for sensor-based human activity recognition
L Köping, K Shirahama, M Grzegorzek
Computers in biology and medicine 95, 248-260, 2018
Time-of-Flight and Depth Imaging: Sensors, Algorithms, and Applications
M Grzegorzek, C Theobalt, R Koch, A Kolb
Springer LNCS 8200, 1-319, 2013
Semantic multimedia
S Staab, A Scherp, R Arndt, R Troncy, M Grzegorzek, C Saathoff, ...
Reasoning Web, Springer LNCS 5224, 125-170, 2008
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
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
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
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
Multi-scale textural feature extraction and particle swarm optimization based model selection for false positive reduction in mammography
I Zyout, J Czajkowska, M Grzegorzek
Computerized Medical Imaging and Graphics 46, 95-107, 2015
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
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
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