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Three‐dimensional feature maps and convolutional neural network‐based emotion recognition
Zheng, Xiangwei, Yu, Xiaomei, Yin, Yongqiang, Li, Tiantian, Yan, Xiaoyan
Published in International journal of intelligent systems (01.11.2021)
Published in International journal of intelligent systems (01.11.2021)
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Convolutional neural network to identify symptomatic Alzheimer’s disease using multimodal retinal imaging
Wisely, C. Ellis, Wang, Dong, Henao, Ricardo, Grewal, Dilraj S., Thompson, Atalie C., Robbins, Cason B., Yoon, Stephen P., Soundararajan, Srinath, Polascik, Bryce W., Burke, James R., Liu, Andy, Carin, Lawrence, Fekrat, Sharon
Published in British journal of ophthalmology (01.03.2022)
Published in British journal of ophthalmology (01.03.2022)
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Convolutional neural network based Alzheimer’s disease classification from magnetic resonance brain images
Jain, Rachna, Jain, Nikita, Aggarwal, Akshay, Hemanth, D. Jude
Published in Cognitive systems research (01.10.2019)
Published in Cognitive systems research (01.10.2019)
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Adaptive transfer learning for EEG motor imagery classification with deep Convolutional Neural Network
Zhang, Kaishuo, Robinson, Neethu, Lee, Seong-Whan, Guan, Cuntai
Published in Neural networks (01.04.2021)
Published in Neural networks (01.04.2021)
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Diagnosis of Alzheimer’s Disease via Multi-Modality 3D Convolutional Neural Network
Huang, Yechong, Xu, Jiahang, Zhou, Yuncheng, Tong, Tong, Zhuang, Xiahai
Published in Frontiers in neuroscience (31.05.2019)
Published in Frontiers in neuroscience (31.05.2019)
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AML, ALL, and CML classification and diagnosis based on bone marrow cell morphology combined with convolutional neural network: A STARD compliant diagnosis research
Huang, Furong, Guang, Peiwen, Li, Fucui, Liu, Xuewen, Zhang, Weimin, Huang, Wendong
Published in Medicine (Baltimore) (06.11.2020)
Published in Medicine (Baltimore) (06.11.2020)
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Detection of Hypertrophic Cardiomyopathy Using a Convolutional Neural Network-Enabled Electrocardiogram
Ko, Wei-Yin, Siontis, Konstantinos C., Attia, Zachi I., Carter, Rickey E., Kapa, Suraj, Ommen, Steve R., Demuth, Steven J., Ackerman, Michael J., Gersh, Bernard J., Arruda-Olson, Adelaide M., Geske, Jeffrey B., Asirvatham, Samuel J., Lopez-Jimenez, Francisco, Nishimura, Rick A., Friedman, Paul A., Noseworthy, Peter A.
Published in Journal of the American College of Cardiology (25.02.2020)
Published in Journal of the American College of Cardiology (25.02.2020)
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Learning EEG topographical representation for classification via convolutional neural network
Xu, Meiyan, Yao, Junfeng, Zhang, Zhihong, Li, Rui, Yang, Baorong, Li, Chunyan, Li, Jun, Zhang, Junsong
Published in Pattern recognition (01.09.2020)
Published in Pattern recognition (01.09.2020)
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Cross-Subject Zero Calibration Driver's Drowsiness Detection: Exploring Spatiotemporal Image Encoding of EEG Signals for Convolutional Neural Network Classification
Paulo, Joao Ruivo, Pires, Gabriel, Nunes, Urbano J.
Published in IEEE transactions on neural systems and rehabilitation engineering (2021)
Published in IEEE transactions on neural systems and rehabilitation engineering (2021)
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