Philipsen, Rick H. H. M.
Radboud University Medical Center
5 papers on CoChatORCID 0000-0002-8259-9197
Most cited papers
- Verified
An automated tuberculosis screening strategy combining X-ray-based computer-aided detection and clinical information
Melendez, J., Sánchez, C. I., Philipsen, R. H. H. M., Maduskar, P., Dawson, R., Theron, G., Dheda, K., & van Ginneken, B. (2016) · Scientific Reports
Tuberculosis Research and EpidemiologyCOVID-19 diagnosis using AI
Cited by 152
- Verified
Diagnostic Accuracy of Computer-Aided Detection of Pulmonary Tuberculosis in Chest Radiographs: A Validation Study from Sub-Saharan Africa
Breuninger, M., van Ginneken, B., Philipsen, R. H. H. M., Mhimbira, F., Hella, J. J., Lwilla, F., van den Hombergh, J., Ross, A., Jugheli, L., Wagner, D., et al. (2014) · PLoS ONE
Tuberculosis Research and EpidemiologyCOVID-19 diagnosis using AI
Cited by 101
- Verified
Automated chest-radiography as a triage for Xpert testing in resource-constrained settings: a prospective study of diagnostic accuracy and costs
Philipsen, R. H. H. M., Sánchez, C. I., Maduskar, P., Melendez, J., Peters-Bax, L., Peter, J. G., Dawson, R., Theron, G., Dheda, K., & van Ginneken, B. (2015) · Scientific Reports
Tuberculosis Research and EpidemiologyInfectious Diseases and Tuberculosis
Cited by 77
- Verified
Automatic versus human reading of chest X-rays in the Zambia National Tuberculosis Prevalence Survey
Melendez, J., Philipsen, R. H. H. M., Chanda-Kapata, P., Sunkutu, V., Kapata, N., & van Ginneken, B. (2017) · The International Journal of Tuberculosis and Lung Disease
Tuberculosis Research and EpidemiologyCOVID-19 diagnosis using AI
Cited by 36
- Verified
Computer-assisted chest radiography reading for tuberculosis screening in people living with diabetes mellitus
Koesoemadinata, R. C., Kranzer, K., Livia, R., Susilawati, N., Annisa, J., Soetedjo, N. N. M., Ruslami, R., Philipsen, R., van Ginneken, B., Soetikno, R. D., et al. (2018) · The International Journal of Tuberculosis and Lung Disease
Tuberculosis Research and EpidemiologyAI in cancer detection
Cited by 35
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