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Marilys Almar
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2020 – today
- 2024
- [j5]Yamil Vindas, Blaise Kévin Guépié, Marilys Almar, Emmanuel Roux, Philippe Delachartre:
Trainable pruned ternary quantization for medical signal classification models. Neurocomputing 601: 128216 (2024) - 2023
- [j4]Yamil Vindas, Emmanuel Roux, Blaise Kévin Guépié, Marilys Almar, Philippe Delachartre:
Guided deep embedded clustering regularization for multifeature medical signal classification. Pattern Recognit. 143: 109812 (2023) - [c3]Yamil Vindas, Emmanuel Roux, Blaise Kévin Guépié, Marilys Almar, Philippe Delachartre:
Deep Embedded Clustering Regularization for Supervised Imbalanced Cerebral Emboli Classification Using Transcranial Doppler Ultrasound. EUSIPCO 2023: 1165-1169 - 2022
- [j3]Yamil Vindas, Blaise Kévin Guépié, Marilys Almar, Emmanuel Roux, Philippe Delachartre:
Semi-automatic data annotation based on feature-space projection and local quality metrics: An application to cerebral emboli characterization. Medical Image Anal. 79: 102437 (2022) - [c2]Yamil Vindas, Blaise Kévin Guépié, Marilys Almar, Emmanuel Roux, Philippe Delachartre:
An hybrid CNN-Transformer model based on multi-feature extraction and attention fusion mechanism for cerebral emboli classification. MLHC 2022: 270-296
2010 – 2019
- 2019
- [j2]Blaise Kévin Guépié, Matthieu Martin, Victor Lacrosaz, Marilys Almar, Benoit Guibert, Philippe Delachartre:
Sequential Emboli Detection From Ultrasound Outpatient Data. IEEE J. Biomed. Health Informatics 23(1): 334-341 (2019) - 2017
- [j1]Blaise Kévin Guépié, Bruno Sciolla, Fabien Millioz, Marilys Almar, Philippe Delachartre:
Discrimination between emboli and artifacts for outpatient transcranial Doppler ultrasound data. Medical Biol. Eng. Comput. 55(10): 1787-1797 (2017) - 2015
- [c1]Blaise Kévin Guépié, Bruno Sciolla, Fabien Millioz, Romain Ramassamy, Emilie Pinatel, Marilys Almar, Benoit Guibert, Philippe Delachartre:
Time-frequency blood flow parameters estimation for micro-emboli detection. ISPA 2015: 66-71
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