Paul Parizel

The University of Western Australia (M570), 35 Stirling Highway,
6009 Perth
Australia

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2021
Explainable-by-design Semi-Supervised Representation Learning for COVID-19 Diagnosis from CT Imaging
Berenguer, A. D., Sahli, H., Joukovsky, B., Kvasnytsia, M., Dirks, I., Alioscha-Pérez, M., Deligiannis, N., Gonidakis, P., Sánchez, S. A., Brahimetaj, R., Papavasileiou, E., Chan, J. C-W., Li, F., Song, S., Yang, Y., Tilborghs, S., Willems, S., Eelbode, T., Bertels, J., Vandermeulen, D., & 20 othersMaes, F., Suetens, P., Fidon, L., Vercauteren, T., Robben, D., Brys, A., Smeets, D., Ilsen, B., Buls, N., Watté, N., Mey, J. D., Snoeckx, A., Parizel, P. M., Guiot, J., Deprez, L., Meunier, P., Gryspeerdt, S., Smet, K. D., Jansen, B. & Vandemeulebroucke, J., 2 Sept 2021, arXiv, (CoRR).
Research output: Working paper › Preprint
2020
Comparative study of deep learning methods for the automatic segmentation of lung, lesion and lesion type in CT scans of COVID-19 patients
Tilborghs, S., Dirks, I., Fidon, L., Willems, S., Eelbode, T., Bertels, J., Ilsen, B., Brys, A., Dubbeldam, A., Buls, N., Gonidakis, P., Sánchez, S. A., Snoeckx, A., Parizel, P. M., Mey, J. D., Vandermeulen, D., Vercauteren, T., Robben, D., Smeets, D., Maes, F., & 2 othersVandemeulebroucke, J. & Suetens, P., 2020, arXiv, 22 p. (CoRR).
Research output: Working paper › Preprint

Research output