Laboratoire des Sciences du Numérique de Nantes
Relevante Arbeiten
Meistzitierte Publikationen im Bereich Gesundheit & MedTech
BioMistral: A Collection of Open-Source Pretrained Large Language Models for Medical Domains
Yanis Labrak, Adrien Bazoge, Emmanuel Morin et al.
2024 · 181 Zit.
Capsule Networks Against Medical Imaging Data Challenges
Amelia Jiménez-Sánchez, Shadi Albarqouni, Diana Mateus
2018 · 94 Zit.
Precise proximal femur fracture classification for interactive training and surgical planning
Amelia Jiménez-Sánchez, Anees Kazi, Shadi Albarqouni et al.
2020 · 46 Zit.
Medical-based Deep Curriculum Learning for Improved Fracture Classification
Amelia Jiménez-Sánchez, Diana Mateus, Sonja Kirchhoff et al.
2019 · 38 Zit.
Applications of artificial intelligence and machine learning for the hip and knee surgeon: current state and implications for the future
Christophe Nich, Julien Behr, Vincent Crenn et al.
2022 · 28 Zit.
Curriculum learning for improved femur fracture classification: Scheduling data with prior knowledge and uncertainty
Amelia Jiménez-Sánchez, Diana Mateus, Sonja Kirchhoff et al.
2021 · 23 Zit.
Addressing the Challenges and Barriers to the Integration of Machine Learning into Clinical Practice: An Innovative Method to Hybrid Human–Machine Intelligence
Chadia Ed‐Driouch, Franck Mars, Pierre‐Antoine Gourraud et al.
2022 · 21 Zit.
Can Ultrasound Confidence Maps Predict Sonographers’ Labeling Variability?
Vanessa Gonzalez Duque, Leonhard Zirus, Yordanka Velikova et al.
2023 · 2 Zit.
Precise Proximal Femur Fracture Classification for Interactive Training and Surgical Planning
Amelia Jiménez-Sánchez, Anees Kazi, Shadi Albarqouni et al.
2019 · 0 Zit.
Medical-based Deep Curriculum Learning for Improved Fracture Classification
Amelia Jiménez-Sánchez, Diana Mateus, Sandra Kirchhoff et al.
2020 · 0 Zit.
The Intergretion of Human Intelligence into Artificial Intelligence to Provide Medical Practice-Based Predictions
Chadia Ed‐Driouch, Pierre‐Antoine Gourraud, Cédric Dumas et al.
2022 · 0 Zit.
Evaluating how different versions of ChatGPT align with expert opinions on geriatric script concordance tests
Matthieu Lilamand, Théodore Decaix, Pierre‐Antoine Gourraud et al.
2025 · 0 Zit.