Detecting an abrupt change of finite duration. - Blaise Kévin Guépié; Lionel Fillatre; Igor V. Nikiforov (ACSCC, 2012)

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 (2013)

Similarity-based residual useful life prediction for partially unknown cycle varying degradation. - Blaise Kévin Guépié; Stéphane Lecoeuche (ICPHM, 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 (ISPA, 2015)

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)

Detecting a Suddenly Arriving Dynamic Profile of Finite Duration. - Blaise Kévin Guépié; Lionel Fillatre; Igor V. Nikiforov (IEEE Trans. Inf. Theory, 2017)

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)

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 (MLHC, 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)

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)

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 (EUSIPCO, 2023)

Guided deep embedded clustering regularization for multifeature medical signal classification. - Yamil Vindas; Emmanuel Roux; Blaise Kévin Guépié; Marilys Almar; Philippe Delachartre (Pattern Recognit., 2023)

Trainable pruned ternary quantization for medical signal classification models. - Yamil Vindas; Blaise Kévin Guépié; Marilys Almar; Emmanuel Roux; Philippe Delachartre (Neurocomputing, 2024)

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 (ISBI, 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)