Nos laboratoires

Recent Submissions

  • Design of (TiHfZr)(NiCoCu) High-Entropy Shape Memory Alloys: From Firstov's Experiments to Data-Driven Approach 
    Article dans une revue avec comité de lecture
    PELTIER, Laurent; THIERCELIN, Léo; ccMERAGHNI, Fodil (Springer Science and Business Media LLC, 2025-03)
    This paper deals with the design of (TiHfZr)(NiCoCu) high-entropy and high-temperature shape memory alloys (HE-HT-SMAs). It explains the chronology and the progress of this design starting from the experimental work of ...
  • Les enjeux de l’intelligence artificielle en odontologie 
    Article dans une revue avec comité de lecture
    DOT, Gauthier; ccGAJNY, Laurent; ccDUCRET, Maxime (EDP Sciences, 2024-02)
    Les applications potentielles de l’intelligence artificielle, ces algorithmes visant à améliorer l’efficacité et la sécurité de diverses décisions cliniques, sont nombreuses en odontologie. Alors que les premiers logiciels ...
  • Evaluation of a method to quantify posture and scapula position using biplanar radiography 
    Article dans une revue avec comité de lecture
    BOUSIGUES, Sandrine; ccGAJNY, Laurent; SKALLI, Wafa; OHL, Xavier; ccTÉTREAULT, Patrice; ccHAGEMEISTER, Nicola (Elsevier BV, 2024-04)
    Background: Recent studies have stated the relevance of having new parameters to quantify the position and orientation of the scapula with patients standing upright. Although biplanar radiography can provide 3D reconstructions ...
  • Enhancing Technology-Focused Entrepreneurship in Higher Education Institutions Ecosystem: Implementing Innovation Models in International Projects 
    Article dans une revue avec comité de lecture
    ccROSIENKIEWICZ, Maria; ccHELMAN, Joanna; ccCHOLEWA, Mariusz; ccMOLASY, Mateusz; GÓRECKA, Anna; ccKOHEN-VACS, Dan; WINOKUR, Michael; ccAMADOR NELKE, Sofia; ccLEVI, Avraham; GOMEZ-GONZALEZ, José Francisco; ccSAGAR, Athith; BERSELLI, Giovanni; BOURGAIN, Maxime; ccBENIS, Arriel (MDPI AG, 2024-07)
    Innovation models are key to fostering technology-focused entrepreneurship in higher education institutions (HEIs). These models create dynamic environments that encourage collaboration, creativity, and problem-solving ...
  • U-NET-based deep learning for automated detection of lathe checks in homogeneous wood veneers 
    Article dans une revue avec comité de lecture
    MARC, Caroline; MARCON, Bertrand; DENAUD, Louis; GIRARDON, Stéphane (Springer Science and Business Media LLC, 2025-02-10)
    Automated detection of lathe checks in wood veneers presents significant challenges due to their variability and the natural properties of wood. This study explores the use of two convolutional neural networks (U-Net ...
  • Assessing Abnormal Proximal Junctional Angles in Adult Spinal Deformity 
    Article dans une revue avec comité de lecture
    KHALIFÉ, Marc; LAFAGE, Renaud; DANIELS, Alan H.; DIEBO, Bassel G.; ELYSEE, Jonathan; AMES, Christopher P.; BESS, Shay R.; BURTON, Douglas C.; EASTLACK, Robert K.; GUPTA, Munish C.; HOSTIN, Richard; KEBAISH, Khaled; KIM, Han-Jo; KLINEBERG, Eric; MUNDIS, Gregory; OKONKWO, David O.; GUIGUI, Pierre; FERRERO, Emmanuelle; SKALLI, Wafa; ASSI, Ayman; VERGARI, Claudio; SHAFFREY, Christopher; SMITH, Justin S.; SCHWAB, Frank J.; LAFAGE, Virginie (Ovid Technologies (Wolters Kluwer Health), 2025-01)
    Study design: Multicentric retrospective study of prospectively collected data. Objective: Based on normative data from a cohort of asymptomatic volunteers, ...
  • Non-Destructive Wood Analysis Dataset: Comparing X-Ray and Terahertz Imaging Techniques 
    Article dans une revue avec comité de lecture
    MARC, Caroline; MARCON, Bertrand; DENAUD, Louis; GIRARDON, Stéphane (MDPI, 2024-11-05)
    Wood density measurement plays a crucial role in assessing wood quality and predicting its mechanical performance. This dataset was collected to compare the accuracy and reliability of two non-destructive techniques, X-rays ...

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