A. Thummerer

Faculteit Medische Wetenschappen/UMCG

Telefoon:

050 361 3674

E-mail:

a.thummerer umcg.nl

ORCID Research Portal

Publicaties

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 › › peer review

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 › › peer review

Toward Closing the Loop in Image-to-Image Conversion in Radiotherapy: A Quality Control Tool to Predict Synthetic Computed Tomography Hounsfield Unit Accuracy

Zaffino, P., Raggio, C. B., Thummerer, A., Marmitt, G. G., Langendijk, J. A., Procopio, A., Cosentino, C., Seco, J., Knopf, A. C., Both, S. & Spadea, M. F., 10-dec.-2024, In: Journal of Imaging. 10, 12, 11 blz., 316.

Onderzoeksoutput › › peer review

Deep learning-based cone beam CT correction for adaptive proton therapy

Thummerer, A., 2023, [Groningen]: University of Groningen. 212 blz.

Onderzoeksoutput

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 › › peer review

Technical note: Evaluation of deep learning based synthetic CTs clinical readiness for dose and NTCP driven head and neck adaptive proton therapy

de Koster, R. J. C., Thummerer, A., Scandurra, D., Langendijk, J. A. & Both, S., 2023, In: Medical Physics. 50, 12, blz. 8023-8033 11 blz.

Onderzoeksoutput › › peer review

Alle (19) publicaties

Bekijk volledig onderzoeksprofiel

A. Thummerer

Publicaties

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

Toward Closing the Loop in Image-to-Image Conversion in Radiotherapy: A Quality Control Tool to Predict Synthetic Computed Tomography Hounsfield Unit Accuracy

Deep learning-based cone beam CT correction for adaptive proton therapy

SynthRAD2023 Grand Challenge dataset: Generating synthetic CT for radiotherapy

Technical note: Evaluation of deep learning based synthetic CTs clinical readiness for dose and NTCP driven head and neck adaptive proton therapy

Deep learning based 4D synthetic CTs for daily proton dose calculations in lung cancer patients

Deep learning-based 4D-synthetic CTs from sparse-view CBCTs for dose calculations in adaptive proton therapy

Deep Learning Based 4D Synthetic CTs Generated From CBCTs for Proton Dose Calculations in Adaptive Proton Therapy

Evaluation of CBCT-based synthetic CTs for clinical adoption in proton therapy of head & neck patients.: E-Poster