Blaise Kévin Guépié

According to our database, Blaise Kévin Guépié authored at least 15 papers between 2012 and 2025.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2025

An asymmetric heuristic for trained ternary quantization based on the statistics of the weights: An application to medical signal classification.

Yamil Vindas, Emmanuel Roux, Blaise Kévin Guépié, Marilys Almar, Philippe Delachartre

Pattern Recognit. Lett., 2025

Weakly-Supervised Semantic Space Structuring: Cardiac Cycle Position for Cerebral Emboli Visualization Using Contrastive Learning.

Mathilde Dupouy, Yamil Vindas, Marilys Almar, Blaise Kévin Guépié, Philippe Delachartre

Proceedings of the 22nd IEEE International Symposium on Biomedical Imaging, 2025

2024

Trainable pruned ternary quantization for medical signal classification models.

Yamil Vindas, Blaise Kévin Guépié, Marilys Almar, Emmanuel Roux, Philippe Delachartre

Neurocomputing, 2024

2023

Guided deep embedded clustering regularization for multifeature medical signal classification.

Yamil Vindas, Emmanuel Roux, Blaise Kévin Guépié, Marilys Almar, Philippe Delachartre

Pattern Recognit., November, 2023

Deep Embedded Clustering Regularization for Supervised Imbalanced Cerebral Emboli Classification Using Transcranial Doppler Ultrasound.

Yamil Vindas, Emmanuel Roux, Blaise Kévin Guépié, Marilys Almar, Philippe Delachartre

Proceedings of the 31st European Signal Processing Conference, 2023

2022

Two Strategies in Transient Change Detection.

Daniel Egea-Roca, Blaise Kévin Guépié, José A. Lopez-Salcedo, Gonzalo Seco-Granados, Igor V. Nikiforov

IEEE Trans. Signal Process., 2022

Semi-automatic data annotation based on feature-space projection and local quality metrics: An application to cerebral emboli characterization.

Yamil Vindas, Blaise Kévin Guépié, Marilys Almar, Emmanuel Roux, Philippe Delachartre

Medical Image Anal., 2022

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

Yamil Vindas, Blaise Kévin Guépié, Marilys Almar, Emmanuel Roux, Philippe Delachartre

Proceedings of the Machine Learning for Healthcare Conference, 2022

2019

Sequential Emboli Detection From Ultrasound Outpatient Data.

Blaise Kévin Guépié, Matthieu Martin, Victor Lacrosaz, Marilys Almar, Benoit Guibert, Philippe Delachartre

IEEE J. Biomed. Health Informatics, 2019

2017

Detecting a Suddenly Arriving Dynamic Profile of Finite Duration.

Blaise Kévin Guépié, Lionel Fillatre, Igor V. Nikiforov

IEEE Trans. Inf. Theory, 2017

Discrimination between emboli and artifacts for outpatient transcranial Doppler ultrasound data.

Blaise Kévin Guépié, Bruno Sciolla, Fabien Millioz, Marilys Almar, Philippe Delachartre

Medical Biol. Eng. Comput., 2017

2015

Time-frequency blood flow parameters estimation for micro-emboli detection.

Blaise Kévin Guépié, Bruno Sciolla, Fabien Millioz, Romain Ramassamy, Emilie Pinatel, Marilys Almar, Benoit Guibert, Philippe Delachartre

Proceedings of the 9th International Symposium on Image and Signal Processing and Analysis, 2015

Similarity-based residual useful life prediction for partially unknown cycle varying degradation.

Blaise Kévin Guépié, Stéphane Lecoeuche

Proceedings of the 2015 IEEE Conference on Prognostics and Health Management, 2015

2013

Détection séquentielle de signaux transitoires : application à la surveillance d'un réseau d'eau potable. (Sequential detection of transient signals : application to the monitoring of drinking water supply network).

Blaise Kévin Guépié

PhD thesis, 2013

2012

Detecting an abrupt change of finite duration.

Blaise Kévin Guépié, Lionel Fillatre, Igor V. Nikiforov

Proceedings of the Conference Record of the Forty Sixth Asilomar Conference on Signals, 2012