Maastricht University Medical Centre
Relevante Arbeiten
Meistzitierte Publikationen im Bereich Gesundheit & MedTech
Artificial intelligence in cancer imaging: Clinical challenges and applications
Wenya Linda Bi, Ahmed Hosny, Matthew B. Schabath et al.
2019 · 1.800 Zit.
Transparency of deep neural networks for medical image analysis: A review of interpretability methods
Zohaib Salahuddin, Henry C. Woodruff, Avishek Chatterjee et al.
2021 · 453 Zit.
Radiomics for precision medicine: Current challenges, future prospects, and the proposal of a new framework
Abdalla Ibrahim, Sergey Primakov, Manon Beuque et al.
2020 · 257 Zit.
Algorithm-based care versus usual care for the early recognition and management of complications after pancreatic resection in the Netherlands: an open-label, nationwide, stepped-wedge cluster-randomised trial
F Jasmijn Smits, Anne Claire Henry, Marc G Besselink et al.
2022 · 164 Zit.
Distributed learning on 20 000+ lung cancer patients – The Personal Health Train
Timo M. Deist, Frank J. W. M. Dankers, Priyanka Ojha et al.
2020 · 162 Zit.
Automated Assessment of COVID-19 Reporting and Data System and Chest CT Severity Scores in Patients Suspected of Having COVID-19 Using Artificial Intelligence
Nikolas Leßmann, Clara I. Sánchez, Ludo F.M. Beenen et al.
2020 · 145 Zit.
Systematic Review of Privacy-Preserving Distributed Machine Learning From Federated Databases in Health Care
Fadila Zerka, Samir Barakat, Seán Walsh et al.
2020 · 133 Zit.
Artificial intelligence‐based clinical decision support in modern medical physics: Selection, acceptance, commissioning, and quality assurance
Geetha Mahadevaiah, Prasad Rv, Iñigo Bermejo et al.
2020 · 116 Zit.
A systematic review and quality of reporting checklist for repeatability and reproducibility of radiomic features
Elisabeth Pfaehler, Ivan Zhovannik, Lise Wei et al.
2021 · 99 Zit.
Blockchain for Privacy Preserving and Trustworthy Distributed Machine Learning in Multicentric Medical Imaging (C-DistriM)
Fadila Zerka, Visara Urovi, Akshayaa Vaidyanathan et al.
2020 · 86 Zit.
Machine learning applications in radiation oncology: Current use and needs to support clinical implementation
Charlotte L. Brouwer, Anna M. Dinkla, Liesbeth Vandewinckele et al.
2020 · 81 Zit.
Mortality prediction models in the adult critically ill: A scoping review
Britt E. Keuning, Thomas Kaufmann, Renske Wiersema et al.
2019 · 77 Zit.
A joint ESTRO and AAPM guideline for development, clinical validation and reporting of artificial intelligence models in radiation therapy
Coen Hurkmans, Jean‐Emmanuel Bibault, Kristy K. Brock et al.
2024 · 66 Zit.
GAN-based one dimensional medical data augmentation
Ye Zhang, Zhixiang Wang, Zhen Zhang et al.
2023 · 49 Zit.
Collaboration between explainable artificial intelligence and pulmonologists improves the accuracy of pulmonary function test interpretation
Nilakash Das, Sofie Happaerts, Iwein Gyselinck et al.
2023 · 43 Zit.