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An hybrid CNN-Transformer model based on multi-feature extraction and attention fusion mechanism for cerebral emboli classification.

Y. Vindas, B. Guépié, M. Almar, E. Roux, and P. Delachartre. MLHC, volume 182 of Proceedings of Machine Learning Research, page 270-296. PMLR, (2022)

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Yamil Alonso Mesa

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An hybrid CNN-Transformer model based on multi-feature extraction and attention fusion mechanism for cerebral emboli classification.Y. Vindas, B. Guépié, M. Almar, E. Roux, and P. Delachartre. MLHC, volume 182 of Proceedings of Machine Learning Research, page 270-296. PMLR, (2022)Trainable pruned ternary quantization for medical signal classification models.Y. Vindas, B. Guépié, M. Almar, E. Roux, and P. Delachartre. Neurocomputing, (2024)Deep Embedded Clustering Regularization for Supervised Imbalanced Cerebral Emboli Classification Using Transcranial Doppler Ultrasound.Y. Vindas, E. Roux, B. Guépié, M. Almar, and P. Delachartre. EUSIPCO, page 1165-1169. IEEE, (2023)

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Disambiguation of "Vindas, Yamil"

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An hybrid CNN-Transformer model based on multi-feature extraction and attention fusion mechanism for cerebral emboli classification.

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Yamil Alonso Mesa

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Disambiguation of "Vindas, Yamil"

copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML An hybrid CNN-Transformer model based on multi-feature extraction and attention fusion mechanism for cerebral emboli classification.

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Yamil Alonso Mesa

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An hybrid CNN-Transformer model based on multi-feature extraction and attention fusion mechanism for cerebral emboli classification.