Automatic Detection of Interplanetary Coronal Mass Ejections from In Situ Data: A Deep Learning Approach von Nguyen, Gautier, Aunai, Nicolas, Fontaine, Dominique, Pennec, Erwan Le, Bossche, Joris Van den, Jeandet, Alexis, Bakkali, Brice, Vignoli, Louis, Blancard, Bruno Regaldo-Saint

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Learning from Both Experts and Data von Besson, Rémi, Le Pennec, Erwan, Allassonnière, Stéphanie

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DeepCTG® 2.0: Development and validation of a deep learning model to detect neonatal acidemia from cardiotocography during labor von Ben M'Barek, Imane, Jauvion, Grégoire, Merrer, Jade, Koskas, Martin, Sibony, Olivier, Ceccaldi, Pierre – François, Le Pennec, Erwan, Stirnemann, Julien

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0315 Representation Of Polysomnography Recordings As Low Dimensional Trajectories von Solelhac, Geoffroy, Brigham, Marco, Bouchequet, Paul, Andrillon, Thomas, Chennaoui, Mounir, Pennec, Erwan Le, Rey, Marc, Leger, Damien

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Sparse geometric image representations with bandelets von Le Pennec, E., Mallat, S.

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Wavelet-Based Multiscale Flow For Realistic Image Deformation in the Large Diffeomorphic Deformation Model Framework von Gaudfernau, Fleur, Blondiaux, Eléonore, Allassonnière, Stéphanie, Le Pennec, Erwan

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Adaptive estimation in the nonparametric random coefficients binary choice model by needlet thresholding von Gautier, Eric, Le Pennec, Erwan

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Integration of clinical features in a computerized cardiotocography system to predict severe newborn acidemia von Menzhulina, Elena, Vitrou, Juliette, Merrer, Jade, Holmstrom, Emilia, Amara, Inesse Ait, Le Pennec, Erwan, Stirnemann, Julien, Ben M’ Barek, Imane

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Development and clinical validation of real‐time artificial intelligence diagnostic companion for fetal ultrasound examination von Stirnemann, J. J., Besson, R., Spaggiari, E., Rojo, S., Loge, F., Peyro‐Saint‐Paul, H., Allassonniere, S., Le Pennec, E., Hutchinson, C., Sebire, N., Ville, Y.

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Learning from both experts and data von Besson, Rémi, Erwan Le Pennec, Allassonnière, Stéphanie

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VP17.02: Description and clinical validation of a real‐time AI diagnostic companion for fetal ultrasound examination von Stirnemann, J., Besson, R., Spaggiari, E., Bourgon, N., Rojo, S., Loge, F., Peyro‐Saint‐Paul, H., Allassonniere, S., Le Pennec, E., Ville, Y.

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Prédiction d'alarmes dans les réseaux via la recherche de motifs spatio-temporels et l'apprentissage automatique von Salaün, Achille

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Intelligent Questionnaires Using Approximate Dynamic Programming von Logé, Frédéric, Le Pennec, Erwan, Amadou-Boubacar, Habiboulaye

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Mixture of Gaussian regressions model with logistic weights, a penalized maximum likelihood approach von Montuelle, L., Le Pennec, E.

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Variational Methods for Tomographic Reconstruction with Few Views von Bergounioux, Maïtine, Abraham, Isabelle, Abraham, Romain, Carlier, Guillaume, Le Pennec, Erwan, Trélat, Emmanuel

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Automatic detection of Interplanetary Coronal Mass Ejections from in-situ data: a deep learning approach von Nguyen, Gautier, Aunai, Nicolas, Fontaine, Dominique, Erwan Le Pennec, Joris Van den Bossche, Jeandet, Alexis, Bakkali, Brice, Vignoli, Louis, Bruno Regaldo-Saint Blancard

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Bandlet image estimation with model selection von Dossal, Ch, Le Pennec, E., Mallat, S.

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Thresholding methods to estimate copula density von Autin, F., Le Pennec, E., Tribouley, K.

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Modélisation de fonds multispectraux texturés et hétérogènes pour la détection d'anomalies von Weber, François

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Adaptive Dantzig density estimation von BERTIN, K, LE PENNEC, E, RIVOIRARD, V

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