Maastricht University Medical Centre

Artificial intelligence in cancer imaging: Clinical challenges and applications

Wenya Linda Bi, Ahmed Hosny, Matthew B. Schabath et al.

2019 · 1.780 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 · 436 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 · 254 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 · 160 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 · 144 Zit.

Systematic Review of Privacy-Preserving Distributed Machine Learning From Federated Databases in Health Care

Fadila Zerka, Samir Barakat, Seán Walsh et al.

2020 · 131 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.

Ethical Shades of Gray: International Frequency of Scientific Misconduct and Questionable Research Practices in Health Professions Education

Anthony R. Artino, Erik W. Driessen, Lauren A. Maggio

2018 · 90 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 · 82 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 · 61 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 · 37 Zit.

The performance of <scp>ChatGPT</scp> in generating answers to clinical questions in psychiatry: a two‐layer assessment

Jurjen J. Luykx, Frank L. Gerritse, Philippe C. Habets et al.

2023 · 37 Zit.

Using artificial intelligence and predictive modelling to enable learning healthcare systems (LHS) for pandemic preparedness

Anshu Ankolekar, Lisanne Eppings, Fabio Bottari et al.

2024 · 35 Zit.