Willemink, Martin J.

Preparing Medical Imaging Data for Machine Learning

Willemink, M. J., Koszek, W. A., Hardell, C., Wu, J., Fleischmann, D., Harvey, H., Folio, L. R., Summers, R. M., Rubin, D. L., & Lungren, M. P. (2020) · Radiology

Artificial Intelligence in Healthcare and EducationRadiomics and Machine Learning in Medical Imaging

Cited by 1,020

Generating synthetic data for medical imaging

Koetzier, L. R., Wu, J., Mastrodicasa, D., Lutz, A., Chung, M., Koszek, W. A., Pratap, J., Chaudhari, A. S., Rajpurkar, P., Lungren, M. P., et al. (2024) · Radiology

Artificial Intelligence in Healthcare and EducationGenerative Adversarial Networks and Image Synthesis

Cited by 111

Accuracy of bone mineral density quantification using dual-layer spectral detector CT: a phantom study

van Hamersvelt, R. W., Schilham, A. M. R., Engelke, K., den Harder, A. M., de Keizer, B., Verhaar, H. J., Leiner, T., de Jong, P. A., & Willemink, M. J. (2017) · European Radiology

Advanced X-ray and CT ImagingBone health and osteoporosis research

Cited by 94

The Project Baseline Health Study: a step towards a broader mission to map human health

Arges, K., Assimes, T., Bajaj, V., Balu, S., Bashir, M. R., Beskow, L., Blanco, R., Califf, R., Campbell, P., Carin, L., et al. (2020) · npj Digital Medicine

Health, Environment, Cognitive AgingArtificial Intelligence in Healthcare and Education

Cited by 82

Quantification of coronary artery calcium in nongated CT to predict cardiovascular events in male lung cancer screening participants: Results of the NELSON study

Takx, R. A. P., Išgum, I., Willemink, M. J., van der Graaf, Y., de Koning, H. J., Vliegenthart, R., Oudkerk, M., Leiner, T., & de Jong, P. A. (2015) · Journal of Cardiovascular Computed Tomography

Cardiac Imaging and DiagnosticsLung Cancer Diagnosis and Treatment

Cited by 75