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Deep convolution neural networks based artifact suppression in under-sampled radial acquisitions of myocardial T 1 mapping images
Nezafat, Maryam, El-Rewaidy, Hossam, Kucukseymen, Selcuk, Hauser, Thomas H, Fahmy, Ahmed S
Published in Physics in medicine & biology (24.11.2020)
Published in Physics in medicine & biology (24.11.2020)
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Iterative peak-fitting of frequency-domain data via deep convolution neural networks
Park, Seong-Heum, Park, Hyeongseon, Lee, Hyunbok, Kim, Heung-Sik
Published in Journal of the Korean Physical Society (01.12.2021)
Published in Journal of the Korean Physical Society (01.12.2021)
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Deep convolution neural networks based artifact suppression in under-sampled radial acquisitions of myocardial T1 mapping images
Nezafat, Maryam, El-Rewaidy, Hossam, Kucukseymen, Selcuk, Hauser, Thomas H, Fahmy, Ahmed S
Published in Physics in medicine & biology (18.11.2020)
Published in Physics in medicine & biology (18.11.2020)
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Traffic Signs Recognition and Detection using Deep Convolution Neural Networks for Autonomous Driving
Raut, Roshani, Desarda, Khushi, Gulve, Saylee, Bodas, Abha, Jadhav, Prem
Published in 2022 IEEE 11th International Conference on Communication Systems and Network Technologies (CSNT) (23.04.2022)
Published in 2022 IEEE 11th International Conference on Communication Systems and Network Technologies (CSNT) (23.04.2022)
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Iterative peak-fitting of frequency-domain data via deep convolution neural networks
Park, Seong-Heum, Park, Hyeong Seon, Lee, Hyunbok, Heung-Sik, Kim
Published in arXiv.org (12.01.2022)
Published in arXiv.org (12.01.2022)
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RICE PLANT DISEASE CLASSIFICATION USING TRANSFER LEARNING OF DEEP CONVOLUTION NEURAL NETWORK
Shrivastava, V. K., Pradhan, M. K., Minz, S., Thakur, M. P.
Published in International archives of the photogrammetry, remote sensing and spatial information sciences. (26.07.2019)
Published in International archives of the photogrammetry, remote sensing and spatial information sciences. (26.07.2019)
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MD-DCNN: Multi-Scale Dilation-Based Deep Convolution Neural Network for epilepsy detection using electroencephalogram signals
Karnati, Mohan, Sahu, Geet, Yadav, Akanksha, Seal, Ayan, Jaworek-Korjakowska, Joanna, Penhaker, Marek, Krejcar, Ondrej
Published in Knowledge-based systems (09.10.2024)
Published in Knowledge-based systems (09.10.2024)
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Classification of the Multiple Stages of Parkinson’s Disease by a Deep Convolution Neural Network Based on 99mTc-TRODAT-1 SPECT Images
Hsu, Shih-Yen, Yeh, Li-Ren, Chen, Tai-Been, Du, Wei-Chang, Huang, Yung-Hui, Twan, Wen-Hung, Lin, Ming-Chia, Hsu, Yun-Hsuan, Wu, Yi-Chen, Chen, Huei-Yung
Published in Molecules (Basel, Switzerland) (19.10.2020)
Published in Molecules (Basel, Switzerland) (19.10.2020)
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An effective sentiment classification by using machine learning algorithms and deep convolution neural network
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