J. Malimban

Faculteit Medische Wetenschappen/UMCG

Telefoon:

E-mail:

j.g.malimban rug.nl

ORCID Research Portal

Publicaties

A deterministic proton dose engine with Monte Carlo accuracy for preclinical applications

Malimban, J., Burlacu, T., Perkó, Z., Brandenburg, S. & Lathouwers, D., 2024, (Unpublished).

Onderzoeksoutput: Abstract ›

Impact of deep learning-based segmentation methods on proton dose distribution in small animals

Malimban, J., Lorenzo Polo, A., Ludwig, F., Nilsson, R., Traneus, E. & Brandenburg, S., 2024, (Unpublished).

Onderzoeksoutput: Abstract ›

Proton therapy induces a local microglial neuroimmune response

Voshart, D. C., Klaver, M., Jiang, Y., van Weering, H. R. J., van Buuren-Broek, F., van der Linden, G. P., Cinat, D., Kiewiet, H. H., Malimban, J., Vazquez-Matias, D. A., Reali Nazario, L., Scholma, A. C., Sewdihal, J., van Goethem, M-J., van Luijk, P., Coppes, R. P. & Barazzuol, L., apr.-2024, In: Radiotherapy and Oncology. 193, 8 blz., 110117.

Onderzoeksoutput › › peer review

Application of PHITS Monte Carlo code in ionization chamber dosimetry of high energy proton beams

Chan, M. K. H., Wulff, J., Malimban, J., Baumann, K. & Both, S., 2023.

Onderzoeksoutput ›

A simulation framework of the preclinical proton irradiation workflow

Malimban, J., Ludwig, F., Lathouwers, D., Staring, M., Verhaegen, F. & Brandenburg, S., 2023.

Onderzoeksoutput ›

Autocontouring of the mouse thorax using deep learning

Malimban, J., Lathouwers, D., Qian, H., Verhaegen, F., Wiedemann, J., Brandenburg, S. & Staring, M., 1-mei-2022, In: Radiotherapy and Oncology. 170, S1, blz. S39-S40 2 blz.

Onderzoeksoutput: Meeting Abstract ›

Deep learning-based segmentation of the thorax in mouse micro-CT scans

Malimban, J., Lathouwers, D., Qian, H., Verhaegen, F., Wiedemann, J., Brandenburg, S. & Staring, M., dec.-2022, In: Scientific Reports. 12, 1, 12 blz., 1822.

Onderzoeksoutput › › peer review

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