Marcin Grzegorzek

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Chen LiNortheastern University, ChinaVerifierad e-postadress på bmie.neu.edu.cn
Kimiaki ShirahamaDoshisha UniversityVerifierad e-postadress på mail.doshisha.ac.jp
Md Mamunur RahamanUniversity of New South Wales, Sydney, AustraliaVerifierad e-postadress på unsw.edu.au
Frédéric LiUniversity of LübeckVerifierad e-postadress på uni-luebeck.de
Muhammad Hassan KhanUniversity of the PunjabVerifierad e-postadress på pucit.edu.pk
Haoyuan ChenNortheastern UniversityVerifierad e-postadress på stu.neu.edu.cn
Frank DeinzerProfessor für Informatik, Technische Hochschule Würzburg-SchweinfurtVerifierad e-postadress på thws.de
Xinyu HuangUniversity of LübeckVerifierad e-postadress på uni-luebeck.de
Muhammad Adeel NisarUniversity of the Punjab, University of Siegen, University of LuebeckVerifierad e-postadress på uni-siegen.de
Muhammad Shahid FaridAssistant Professor, Department of Computer Science, University of the Punjab, PakistanVerifierad e-postadress på pucit.edu.pk
Cong YangSoochow UniversityVerifierad e-postadress på suda.edu.cn
Jinghua ZhangUniversity of Oulu | National University of Defense TechnologyVerifierad e-postadress på oulu.fi
Jiawei ZhangNational University of Defense TechnologyVerifierad e-postadress på nudt.edu.cn
Muhammad Tausif IrshadUniversity of LübeckVerifierad e-postadress på uni-luebeck.de
Dietrich PaulusProfessor of Computational Visualistics, Koblenz University, GermanyVerifierad e-postadress på uni-koblenz.de
Philip GouverneurUniversity of LübeckVerifierad e-postadress på uni-luebeck.de
Dr. Sergey KosovJacobs UniversityVerifierad e-postadress på jacobs-university.de
Artur PietMedical AI at University of LübeckVerifierad e-postadress på uni-luebeck.de
Joanna CzajkowskaSilesian University of Technology, Department of Informatics and Medical EquipmentVerifierad e-postadress på polsl.pl
Ahmad DelforouziResearch Associate, Fraunhofer SCAIVerifierad e-postadress på scai.fraunhofer.de

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Marcin Grzegorzek

Full Professor at the University of Lübeck

Verifierad e-postadress på uni-luebeck.de - Startsida

Machine Learning AI AI in Healthcare


Titel Sortera efter citat Sortera efter år Sortera efter titel	Citeras av Citeras av	År
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	301	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	157	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	139	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	121	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	92	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	90	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	82	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	82	2018
Deep malaria parasite detection in thin blood smear microscopic images A Maqsood, MS Farid, MH Khan, M Grzegorzek Applied Sciences 11 (5), 2284, 2021	73	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	72	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	71	2022
Time-of-Flight and Depth Imaging: Sensors, Algorithms, and Applications M Grzegorzek, C Theobalt, R Koch, A Kolb Springer LNCS 8200, 1-319, 2013	63*	2013
Semantic multimedia S Staab, A Scherp, R Arndt, R Troncy, M Grzegorzek, C Saathoff, ... Reasoning Web, Springer LNCS 5224, 125-170, 2008	63	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	56	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	55	2015
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	53	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	53	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	52	2020
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	51	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	49	2023

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