CentraleSupélec
Relevante Arbeiten
Meistzitierte Publikationen im Bereich Gesundheit & MedTech
Promises and challenges for the implementation of computational medical imaging (radiomics) in oncology
Elaine Johanna Limkin, Roger Sun, Laurent Dercle et al.
2017 · 761 Zit.
Demystification of AI-driven medical image interpretation: past, present and future
Peter Savadjiev, Jaron Chong, Anthony Dohan et al.
2018 · 150 Zit.
Fundamentals in Artificial Intelligence for Vascular Surgeons
Juliette Raffort, Cédric Adam, Marion Carrier et al.
2019 · 58 Zit.
Five simultaneous artificial intelligence data challenges on ultrasound, CT, and MRI
Nathalie Lassau, Théo Estienne, P. de Vomecourt et al.
2019 · 43 Zit.
SAM-Path: A Segment Anything Model for Semantic Segmentation in Digital Pathology
Jingwei Zhang, Ke Ma, Saarthak Kapse et al.
2023 · 42 Zit.
Artificial Intelligence for Education of Vascular Surgeons
Fabien Lareyre, Cédric Adam, Marion Carrier et al.
2020 · 41 Zit.
Radiologists versus Deep Convolutional Neural Networks: A Comparative Study for Diagnosing COVID-19
Abdulkader Helwan, Mohammad Khaleel Sallam Ma’aitah, Hani Hamdan et al.
2021 · 26 Zit.
AI-Driven CT-based quantification, staging and short-term outcome prediction of COVID-19 pneumonia
Guillaume Chassagnon, Maria Vakalopoulou, Enzo Battistella et al.
2020 · 17 Zit.
Detection and quantification of pulmonary embolism with artificial intelligence: The SFR 2022 artificial intelligence data challenge
Younes Belkouchi, Mathieu Léderlin, Amira Ben Afia et al.
2023 · 16 Zit.
SI-MIL: Taming Deep MIL for Self-Interpretability in Gigapixel Histopathology
Saarthak Kapse, Pushpak Pati, Srijan Das et al.
2024 · 11 Zit.
Artificial Intelligence in Vascular Surgery: Moving from Big Data to Smart Data
Fabien Lareyre, Cédric Adam, Marion Carrier et al.
2020 · 9 Zit.
BEExAI: Benchmark to Evaluate Explainable AI
Samuel Sithakoul, Sara Meftah, Clément Feutry
2024 · 8 Zit.
A Validated and Explainable Deep Learning Model Instantly Predicts Survival from Consultation Reports
Clément Piat, Quentin Blampey, Alexandre Joutard et al.
2023 · 4 Zit.
Toward training NLP models to take into account privacy leakages
Gaspard Berthelier, Antoine Boutet, Antoine Richard
2023 · 2 Zit.
Ethics and Responsibility of Industrial Cyber‐Physical Systems
Sylvie Jonas, Françoise Lamnabhi‐Lagarrigue
2022 · 2 Zit.