Marcin Grzegorzek
Marcin Grzegorzek
Professor, Institute of Medical Informatics, 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
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
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 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
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
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
Multi sensor 3D indoor localisation
F Ebner, T Fetzer, F Deinzer, L Köping, M Grzegorzek
2015 international conference on indoor positioning and indoor navigation …, 2015
Deep malaria parasite detection in thin blood smear microscopic images
A Maqsood, MS Farid, MH Khan, M Grzegorzek
Applied Sciences 11 (5), 2284, 2021
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
Object matching with hierarchical skeletons
C Yang, O Tiebe, K Shirahama, M Grzegorzek
Pattern Recognition 55, 183-197, 2016
Application of content-based image analysis to environmental microorganism classification
C Li, K Shirahama, M Grzegorzek
Biocybernetics and Biomedical Engineering 35 (1), 10-21, 2015
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
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
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
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
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
Gait recognition using motion trajectory analysis
MH Khan, F Li, MS Farid, M Grzegorzek
Proceedings of the 10th International Conference on Computer Recognition …, 2018
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