Murphy, Keelin

Elastix: a toolbox for intensity-based medical image registration

Klein, S., Staring, M., Murphy, K., Viergever, M. A., & Pluim, J. (2010) · IEEE Transactions on Medical Imaging

Medical Image Segmentation TechniquesAdvanced Radiotherapy Techniques

Cited by 4,311

The truth is hard to make: Validation of medical image registration

Pluim, J. P. W., Muenzing, S. E. A., Eppenhof, K. A. J., & Murphy, K. (2016) · 2016 23rd International Conference on Pattern Recognition (ICPR)

Medical Image Segmentation TechniquesAdvanced Radiotherapy Techniques

Cited by 34

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

Computer-aided detection thresholds for digital chest radiography interpretation in tuberculosis diagnostic algorithms.

Vanobberghen, F., Keter, A. K., Jacobs, B. K. M., Glass, T. R., Lynen, L., Law, I., Murphy, K., van Ginneken, B., Ayakaka, I., van Heerden, A., et al. (2024) · ERJ Open Research

Tuberculosis Research and EpidemiologyAI in cancer detection

Cited by 13

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