Biblio

33557 resultats trouvés
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Bernard O, Lalande A, Zotti C, Cervenansky F, Yang X, Heng P-A, Cetin I, Lekadir K, Camara O, Ballester MAngel Gonz et al..  2018.  Deep Learning Techniques for Automatic MRI Cardiac Multi-Structures Segmentation and Diagnosis: Is the Problem Solved? IEEE TRANSACTIONS ON MEDICAL IMAGING. 37:2514-2525.
S'adan MAhmad Hazi, Pampouchidou A, Meriaudeau F.  2018.  Deep Learning Techniques for Depression Assessment. 2018 INTERNATIONAL CONFERENCE ON INTELLIGENT AND ADVANCED SYSTEM (ICIAS 2018) / WORLD ENGINEERING, SCIENCE & TECHNOLOGY CONGRESS (ESTCON).
S'adan MAhmad Hazi, Pampouchidou A, Meriaudeau F.  2018.  Deep Learning Techniques for Depression Assessment. 2018 INTERNATIONAL CONFERENCE ON INTELLIGENT AND ADVANCED SYSTEM (ICIAS 2018) / WORLD ENGINEERING, SCIENCE & TECHNOLOGY CONGRESS (ESTCON).
Monna F, Rolland T, Denaire A, Navarro N, Granjon L, Barbe R, Chateau-Smith C.  2021.  Deep learning to detect built cultural heritage from satellite imagery.-Spatial distribution and size of vernacular houses in Sumba, Indonesia. JOURNAL OF CULTURAL HERITAGE. 52:171-183.
Lenfant M, Chevallier O, Comby P-O, Secco G, Haioun K, Ricolfi F, Lemogne B, Loffroy R.  2020.  Deep Learning Versus Iterative Reconstruction for CT Pulmonary Angiography in the Emergency Setting: Improved Image Quality and Reduced Radiation Dose. DIAGNOSTICS. 10:558.
Hammedi W, Ramirez-Martinez M, Brunet P, Senouci SMohammed, Messous MAyoub.  2019.  Deep Learning-Based Real-time Object Detection in Inland Navigation. 2019 IEEE GLOBAL COMMUNICATIONS CONFERENCE (GLOBECOM).
Hammedi W, Ramirez-Martinez M, Brunet P, Senouci SMohammed, Messous MAyoub.  2019.  Deep Learning-Based Real-time Object Detection in Inland Navigation. 2019 IEEE GLOBAL COMMUNICATIONS CONFERENCE (GLOBECOM).
Sayah M., Guebli D., Noureddine Z., Z. Masry A.  2021.  Deep LSTM Enhancement for RUL Prediction Using Gaussian Mixture Models. AUTOMATIC CONTROL AND COMPUTER SCIENCES. 55:15-25.
Zhang Y, Sidibe D, Morel O, Meriaudeau F.  2021.  Deep multimodal fusion for semantic image segmentation: A survey. IMAGE AND VISION COMPUTING. 105:104042.
Azar J, Makhoul A, Couturier R, Demerjian J.  2021.  Deep recurrent neural network-based autoencoder for photoplethysmogram artifacts filtering. COMPUTERS & ELECTRICAL ENGINEERING. 92:107065.
Martinez C., Perrin G., Ramasso E., Rombaut M..  2018.  A deep reinforcement learning approach for early classification of time series. 2018 26TH EUROPEAN SIGNAL PROCESSING CONFERENCE (EUSIPCO). :2030-2034.
C. Prieto A, Fernandez-Alvar E., Schlesinger K.J, Lee Y.S, Morrison H.L, Schneider D.P, Beers T.C, Bizyaev D., Ebelke G., Malanushenko E. et al..  2014.  Deep SDSS optical spectroscopy of distant halo stars I. Atmospheric parameters and stellar metallicity distribution. ASTRONOMY & ASTROPHYSICS. 568:A7.
Fernandez-Alvar E., C. Prieto A, Schlesinger K.J, Beers T.C, Robin A.C, Schneider D.P, Lee Y.S, Bizyaev D., Ebelke G., Malanushenko E. et al..  2015.  Deep SDSS optical spectroscopy of distant halo stars II. Iron, calcium, and magnesium abundances. ASTRONOMY & ASTROPHYSICS. 577:A81.
Renault K, Debieu S, Richard J-A, Romieu A.  2019.  Deeper insight into protease-sensitive ``covalent-assembly'' fluorescent probes for practical biosensing applications. ORGANIC & BIOMOLECULAR CHEMISTRY. 17:8918-8932.
Vayssade J-A, Paoli J-N, Gee C, Jones G.  2021.  DeepIndices: Remote Sensing Indices Based on Approximation of Functions through Deep-Learning, Application to Uncalibrated Vegetation Images. REMOTE SENSING. 13:2261.
Capobianco N, Meignan M, Cottereau A-S, Vercellino L, Sibille L, Spottiswoode B, Zuehlsdorff S, Casasnovas O, Thieblemont C, Buvat I.  2021.  Deep-Learning F-18-FDG Uptake Classification Enables Total Metabolic Tumor Volume Estimation in Diffuse Large B-Cell Lymphoma. JOURNAL OF NUCLEAR MEDICINE. 62:30-36.
Seignez A, Casasnovas O, Ferrant E, Bastie JNoel, Mondoloni P, Aho LSerge, Boulin M.  2015.  De-escalation chemotherapy and hematological profiles in patients with advanced Hodgkin's lymphoma. INTERNATIONAL JOURNAL OF CLINICAL PHARMACY. 37:1033-1037.
Vives S, Meunier C.  2015.  Defect cluster arrangements and oxygen vacancy migration in Gd doped ceria for different interatomic potentials. SOLID STATE IONICS. 283:137-144.
Coupe B, Leloup C, Asiedu K, Maillard J, Penicaud L, Horvath TL, Bouret SG.  2021.  Defective autophagy in Sf1 neurons perturbs the metabolic response to fasting and causes mitochondrial dysfunction. MOLECULAR METABOLISM. 47:101186.
Yamazaki T., Hannani D., Poirier-Colame V., Ladoire S., Locher C., Sistigu A., Prada N., Adjemian S., Catani J.PP, Freudenberg M. et al..  2014.  Defective immunogenic cell death of HMGB1-deficient tumors: compensatory therapy with TLR4 agonists. CELL DEATH AND DIFFERENTIATION. 21:69-78.
Fergusson G, Ethier M, Guevremont M, Chretien C, Attane C, Joly E, Fioramonti X, Prentki M, Poitout V, Alquier T.  2014.  Defective insulin secretory response to intravenous glucose in C57BI/6J compared to C57BI/6N mice. MOLECULAR METABOLISM. 3:848-854.
Nicolas M, Martinent G, Drapeau M, Chahraoui K, Vacher P, de Roten Y.  2017.  Defense Profiles in Adaptation Process to Sport Competition and Their Relationships with Coping, Stress and Control. FRONTIERS IN PSYCHOLOGY. 8:2222.
Vogelweith F, Thiery D, Moret Y, Colin E, Motreuil S, Moreau J.  2014.  Defense strategies used by two sympatric vineyard moth pests. JOURNAL OF INSECT PHYSIOLOGY. 64:54-61.
Kadlub N, Sessiecq Q, Dainese L, Joly A, Lehalle D, Marlin S, Badoual C, Galmiche L, Majoufre-Lefebvre C, Berdal A et al..  2016.  Defining a new aggressiveness classification and using NFATc1 localization as a prognostic factor in cherubism. HUMAN PATHOLOGY. 58:62-71.
Mak K.S, Van Bommel A.CM, Stowell C., Abrahm J.L, Baker M., Baldotto C., Baldwin D.R, Borthwick D., Carbone D.P, Chen A.B et al..  2015.  Defining a Standard Set of Patient Centered Outcomes for Patients With Lung Cancer. INTERNATIONAL JOURNAL OF RADIATION ONCOLOGY BIOLOGY PHYSICS. 93:E403.

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