Maastro Clinic
Relevante Arbeiten
Meistzitierte Publikationen im Bereich Gesundheit & MedTech
Machine Learning methods for Quantitative Radiomic Biomarkers
Chintan Parmar, Patrick Großmann, Johan Bussink et al.
2015 · 994 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 · 115 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 · 78 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 · 60 Zit.
The AIMe registry for artificial intelligence in biomedical research
Julian Matschinske, Nicolás Alcaraz, Arriel Benis et al.
2021 · 57 Zit.
GAN-based one dimensional medical data augmentation
Ye Zhang, Zhixiang Wang, Zhen Zhang et al.
2023 · 47 Zit.
From multisource data to clinical decision aids in radiation oncology: The need for a clinical data science community
Joanna Kaźmierska, Andrew Hope, Emiliano Spezi et al.
2020 · 36 Zit.
Plan quality assessment in clinical practice: Results of the 2020 ESTRO survey on plan complexity and robustness
Laura Patricia Kaplan, Lorenzo Placidi, Anna Bäck et al.
2022 · 35 Zit.
The role of artificial intelligence in radiotherapy clinical practice
Guillaume Landry, Christopher Kurz, Alberto Traverso
2023 · 34 Zit.
Assessing the role of GPT-4 in thyroid ultrasound diagnosis and treatment recommendations: enhancing interpretability with a chain of thought approach
Zhixiang Wang, Zhen Zhang, Alberto Traverso et al.
2024 · 34 Zit.
Operationalising fairness in medical AI adoption: detection of early Alzheimer’s disease with 2D CNN
Luca Heising, Spyros Angelopoulos
2022 · 23 Zit.
Implementation of Big Imaging Data Pipeline Adhering to FAIR Principles for Federated Machine Learning in Oncology
Ashish Kumar Jha, Sneha Mithun, Umesh B. Sherkhane et al.
2021 · 18 Zit.
Automatic coronavirus disease 2019 diagnosis based on chest radiography and deep learning – Success story or dataset bias?
Jennifer Dhont, Cecile J A Wolfs, Frank Verhaegen
2021 · 16 Zit.
Assessment of bias in scoring of AI-based radiotherapy segmentation and planning studies using modified TRIPOD and PROBAST guidelines as an example
Coen Hurkmans, Jean‐Emmanuel Bibault, E. Clementel et al.
2024 · 10 Zit.
Implementation Strategy for Artificial Intelligence in Radiotherapy: Can Implementation Science Help?
Rachelle Swart, Liesbeth Boersma, Rianne Fijten et al.
2024 · 9 Zit.