Paul Parizel

Dr, MD, PhD, FRANZCR

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

    6009 Perth

    Australia

Calculated based on number of publications stored in Pure and citations from PlumX
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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 paperPreprint

  • 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 paperPreprint