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Combining enhanced spectral resolution of EMG and a deep learning approach for knee pathology diagnosis

by Khader, Ateka, Zyout, Ala’a, Al Fahoum, Amjed
Published in PloS one (07.05.2024)

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Potential diagnostic markers and biological mechanism for osteoarthritis with obesity based on bioinformatics analysis

by Li, Qiu, Tang, Xijie, Li, Weihua
Published in PloS one (21.12.2023)

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Developing the new diagnostic model by integrating bioinformatics and machine learning for osteoarthritis

by Du, Jian, Zhou, Tian, Zhang, Wei, Peng, Wei
Published in Journal of orthopaedic surgery and research (18.12.2024)

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Computer-aided diagnosis of early knee osteoarthritis based on MRI T2 mapping

by Wu, Yixiao, Yang, Ran, Jia, Sen, Li, Zhanjun, Zhou, Zhiyang, Lou, Ting
Published in Bio-medical materials and engineering (01.01.2014)

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Dense neural networks in knee osteoarthritis classification: a study on accuracy and fairness

by Moustakidis, Serafeim, Papandrianos, Nikolaos I., Christodolou, Eirini, Papageorgiou, Elpiniki, Tsaopoulos, Dimitrios
Published in Neural computing & applications (01.01.2023)

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Machine Learning for Cyber Physical Systems: Selected Papers from the International Conference ML4CPS 2020

by Beyerer, Jürgen, Maier, Alexander, Niggemann, Oliver
Year of Publication 2020

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Combining enhanced spectral resolution of EMG and a deep learning approach for knee pathology diagnosis

Potential diagnostic markers and biological mechanism for osteoarthritis with obesity based on bioinformatics analysis

Developing the new diagnostic model by integrating bioinformatics and machine learning for osteoarthritis

Computer-aided diagnosis of early knee osteoarthritis based on MRI T2 mapping

Dense neural networks in knee osteoarthritis classification: a study on accuracy and fairness

Machine Learning for Cyber Physical Systems: Selected Papers from the International Conference ML4CPS 2020

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