Amsterdam UMC Location Vrije Universiteit Amsterdam
Relevante Arbeiten
Meistzitierte Publikationen im Bereich Gesundheit & MedTech
Radiomic Machine-Learning Classifiers for Prognostic Biomarkers of Head and Neck Cancer
Chintan Parmar, Patrick Großmann, D. Rietveld et al.
2015 · 406 Zit.
Publication Pressure and Scientific Misconduct in Medical Scientists
Joeri K. Tijdink, Reinout Verbeke, Yvo M. Smulders
2014 · 223 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 · 100 Zit.
Artificial Intelligence: Power for Civilisation – and for Better Healthcare
Denis Horgan, Mário Rom�ão, Servaas A. Morré et al.
2019 · 85 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.
The prediction of surgical complications using artificial intelligence in patients undergoing major abdominal surgery: A systematic review
Wessel T. Stam, Lotte K. Goedknegt, Erik W. Ingwersen et al.
2021 · 78 Zit.
STARD 2015 guidelines for reporting diagnostic accuracy studies: explanation and elaboration
Jérémie F. Cohen, Daniël A. Korevaar, Douglas G. Altman et al.
2022 · 54 Zit.
Artificial Intelligence for the Prediction of In-Hospital Clinical Deterioration: A Systematic Review
Lars I. Veldhuis, Nicky J. C. Woittiez, Prabath W.B. Nanayakkara et al.
2022 · 35 Zit.
Assessing the Views of Professionals, Patients, and Care Partners Concerning the Use of Computer Tools in Memory Clinics: International Survey Study
Aniek M. van Gils, Leonie N.C. Visser, Heleen M.A. Hendriksen et al.
2021 · 25 Zit.
What is the future of artificial intelligence in obstetrics? A qualitative study among healthcare professionals
A. M. Fischer, Anna L. Rietveld, Pim W. Teunissen et al.
2023 · 20 Zit.
Unsupervised Deep Learning for Stroke Lesion Segmentation on Follow-up CT Based on Generative Adversarial Networks
Henk van Voorst, Praneeta R. Konduri, Laura M. van Poppel et al.
2022 · 17 Zit.
Artificial intelligence in telemetry: what clinicians should know
David M. Maslove, Paul Elbers, Gilles Clermont
2021 · 13 Zit.
Proceedings of the 4th World Conference on Research Integrity
Susan Patricia O’Brien, Danny Chan, Fks Leung et al.
2016 · 12 Zit.
Deep learning in medical image analysis: introduction to underlying principles and reviewer guide using diagnostic case studies in paediatrics
Constance Dubois, David Eigen, Emmanuel Delmas et al.
2024 · 10 Zit.
Open data are not enough to realize full transparency
L.M. Bouter
2015 · 6 Zit.