Rutten, Matthieu
Radboud University Nijmegen · Radboud University Medical Center · Jeroen Bosch Ziekenhuis
8 papers on CoChatORCID 0000-0001-8651-6646
Most cited papers
- Verified
Artificial intelligence in radiology: 100 commercially available products and their scientific evidence
van Leeuwen, K. G., Schalekamp, S., Rutten, M. J. C. M., van Ginneken, B., & de Rooij, M. (2021) · European Radiology
Artificial Intelligence in Healthcare and EducationRadiomics and Machine Learning in Medical Imaging
Cited by 461
- Verified
How does artificial intelligence in radiology improve efficiency and health outcomes?
van Leeuwen, K. G., de Rooij, M., Schalekamp, S., van Ginneken, B., & Rutten, M. J. C. M. (2022) · Pediatric Radiology
Artificial Intelligence in Healthcare and EducationRadiology practices and education
Cited by 236
- Verified
Cost-effectiveness of artificial intelligence aided vessel occlusion detection in acute stroke: an early health technology assessment
van Leeuwen, K. G., Meijer, F. J. A., Schalekamp, S., Rutten, M. J. C. M., van Dijk, E. J., van Ginneken, B., Govers, T. M., & de Rooij, M. (2021) · Insights into Imaging
Health Systems, Economic Evaluations, Quality of LifeAcute Ischemic Stroke Management
Cited by 70
- Verified
Machine Learning-Based Prediction of Hemoglobinopathies Using Complete Blood Count Data
Schipper, A., Rutten, M., van Gammeren, A., Harteveld, C. L., Urrechaga, E., Weerkamp, F., den Besten, G., Krabbe, J., Slomp, J., Schoonen, L., et al. (2024) · Clinical Chemistry
Hemoglobinopathies and Related DisordersArtificial Intelligence in Healthcare
Cited by 33
- Verified
The importance of multi-modal imaging and clinical information for humans and AI-based algorithms to classify breast masses (INSPiRED 003): An international, multicenter analysis
Pfob, A., Sidey-Gibbons, C., Barr, R. G., Duda, V., Alwafai, Z., Balleyguier, C., Clevert, D.-A., Fastner, S., Gomez, C., Goncalo, M., et al. (2022) · European Radiology
AI in cancer detectionRadiomics and Machine Learning in Medical Imaging
Cited by 29
- Verified
Performance of AI to exclude normal chest radiographs to reduce radiologists' Workload
Schalekamp, S., van Leeuwen, K., Calli, E., Murphy, K., Rutten, M., Geurts, B., Peters-Bax, L., van Ginneken, B., & Prokop, M. (2024) · European Radiology
Artificial Intelligence in Healthcare and EducationCOVID-19 diagnosis using AI
Cited by 28
- Verified
Intelligent multi-modal shear wave elastography to reduce unnecessary biopsies in breast cancer diagnosis (INSPiRED 002): A retrospective, international, multicentre analysis
Pfob, A., Sidey-Gibbons, C., Barr, R. G., Duda, V., Alwafai, Z., Balleyguier, C., Clevert, D.-A., Fastner, S., Gomez, C., Goncalo, M., et al. (2022) · European Journal of Cancer
Ultrasound Imaging and ElastographyAI in cancer detection
Cited by 27
- Verified
Deep learning with robustness to missing data: A novel approach to the detection of COVID-19
Çallı, E., Murphy, K., Kurstjens, S., Samson, T., Herpers, R., Smits, H., Rutten, M., & van Ginneken, B. (2021) · PLOS ONE
COVID-19 diagnosis using AIArtificial Intelligence in Healthcare
Cited by 6
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