Arthur Galapon

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3 Article
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2024
Feasibility of Monte Carlo dropout-based uncertainty maps to evaluate deep learning-based synthetic CTs for adaptive proton therapy
Galapon, A., Thummerer, A., Langendijk, J. A., Wagenaar, D. & Both, S., 2024, In: Medical Physics. 51, 4, blz. 2499-2509 11 blz.
Onderzoeksoutput: Article › Academic › peer review

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7 Citaten (Scopus)

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Generating synthetic computed tomography for radiotherapy: SynthRAD2023 challenge report
Huijben, E., Terpstra, M. L., Galapon, A. J., Pai, S., Thummerer, A., Koopmans, P., Afonso, M., van Eijnatten, M., Gurney-Champion, O., Chen, Z., Zhang, Y., Zheng, K., Li, C., Pang, H., Ye, C., Wang, R., Song, T., Fan, F., Qiu, J. & Huang, Y. & 33 anderen, Ha, J., Park, J. S., Alain-Beaudoin, A., Bériault, S., Yu, P., Guo, H., Huang, Z., Li, G., Zhang, X., Fan, Y., Liu, H., Xin, B., Nicolson, A., Zhong, L., Deng, Z., Müller-Franzes, G., Khader, F., Li, X., Zhang, Y., Hémon, C., Boussot, V., Zhang, Z., Wang, L., Bai, L., Wang, S., Mus, D., Kooiman, B., Sargeant, C. A. H., Henderson, E. G. A., Kondo, S., Kasai, S., Perko , Z. & Maspero, M., okt.-2024, In: Medical image analysis. 97, 21 blz., 103276.
Onderzoeksoutput › Academic › peer review

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2 Citaten (Scopus)

50 Downloads (Pure)
2023
SynthRAD2023 Grand Challenge dataset: Generating synthetic CT for radiotherapy
Thummerer, A., van der Bijl, E., Galapon, A., Verhoeff, J. J. C., Langendijk, J. A., Both, S., van den Berg, C. A. T. & Maspero, M., jul.-2023, In: Medical Physics. 50, 7, blz. 4664-4674 11 blz.
Onderzoeksoutput: Article › Academic › peer review

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22 Citaten (Scopus)

132 Downloads (Pure)

Arthur Galapon

Onderzoeksoutput

Zoekresultaten

Feasibility of Monte Carlo dropout-based uncertainty maps to evaluate deep learning-based synthetic CTs for adaptive proton therapy

Generating synthetic computed tomography for radiotherapy: SynthRAD2023 challenge report

SynthRAD2023 Grand Challenge dataset: Generating synthetic CT for radiotherapy