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Marcin Grzegorzek
Marcin Grzegorzek
Professor, Institut für Medizinische Informatik, Universität zu Lübeck
Verified email at uni-luebeck.de - Homepage
Title
Cited by
Cited by
Year
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
2272018
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
712018
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
632021
A general framework for sensor-based human activity recognition
L Köping, K Shirahama, M Grzegorzek
Computers in biology and medicine 95, 248-260, 2018
582018
Time-of-Flight and Depth Imaging: Sensors, Algorithms, and Applications
M Grzegorzek, C Theobalt, R Koch, A Kolb
Springer LNCS 8200, 1-319, 2013
58*2013
Semantic multimedia
S Staab, A Scherp, R Arndt, R Troncy, M Grzegorzek, C Saathoff, ...
Reasoning Web, Springer LNCS 5224, 125-170, 2008
582008
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
482015
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
462015
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
402020
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
382015
Object matching with hierarchical skeletons
C Yang, O Tiebe, K Shirahama, M Grzegorzek
Pattern Recognition 55, 183-197, 2016
372016
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
352022
Deep malaria parasite detection in thin blood smear microscopic images
A Maqsood, MS Farid, MH Khan, M Grzegorzek
Applied Sciences 11 (5), 2284, 2021
332021
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
322022
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
302020
Appearance-based recognition of 3-D objects by cluttered background and occlusions
M Reinhold, M Grzegorzek, J Denzler, H Niemann
Pattern Recognition 38 (5), 739-753, 2005
292005
Gait recognition using motion trajectory analysis
MH Khan, F Li, MS Farid, M Grzegorzek
Proceedings of the 10th International Conference on Computer Recognition …, 2018
282018
On Monte Carlo smoothing in multi sensor indoor localisation
T Fetzer, F Ebner, F Deinzer, L Köping, M Grzegorzek
2016 International Conference on Indoor Positioning and Indoor Navigation …, 2016
282016
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
272022
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
272020
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Articles 1–20