Deep learning for fast and accurate automated reconstruction of multiple applicators used in MRI-based cervical cancer brachytherapy

Beatriz M. Fernandes; Ioannis Androulakis; Andras Zolnay; Inger-Karine Kolkman-Deurloo; Brigida Ferreira; Theo van Walsum; Ben Heijmen; Linda Rossi

doi:10.1016/S0167-8140(25)01141-7

Deep learning for fast and accurate automated reconstruction of multiple applicators used in MRI-based cervical cancer brachytherapy

Beatriz M. Fernandes, Ioannis Androulakis, Andras Zolnay, Inger-Karine Kolkman-Deurloo, Brigida Ferreira, Theo van Walsum, Ben Heijmen, Linda Rossi

Research output: Contribution to journal › Meeting Abstract › Academic › peer-review

Original language	English
Article number	2561
Number of pages	3
Journal	Radiotherapy and Oncology
Volume	206
Issue number	Supplement 1
DOIs	https://doi.org/10.1016/S0167-8140(25)01141-7
Publication status	Published - May 2025

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10.1016/S0167-8140(25)01141-7

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Fernandes, B. M., Androulakis, I., Zolnay, A., Kolkman-Deurloo, I.-K., Ferreira, B., van Walsum, T., Heijmen, B., & Rossi, L. (2025). Deep learning for fast and accurate automated reconstruction of multiple applicators used in MRI-based cervical cancer brachytherapy. Radiotherapy and Oncology, 206( Supplement 1), Article 2561 . https://doi.org/10.1016/S0167-8140(25)01141-7

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T1 - Deep learning for fast and accurate automated reconstruction of multiple applicators used in MRI-based cervical cancer brachytherapy

AU - Fernandes, Beatriz M.

AU - Androulakis, Ioannis

AU - Zolnay, Andras

AU - Kolkman-Deurloo, Inger-Karine

AU - Ferreira, Brigida

AU - van Walsum, Theo

AU - Heijmen, Ben

AU - Rossi, Linda

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DO - 10.1016/S0167-8140(25)01141-7

M3 - Meeting Abstract

SN - 0167-8140

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JF - Radiotherapy and Oncology

IS - Supplement 1

M1 - 2561

ER -

Deep learning for fast and accurate automated reconstruction of multiple applicators used in MRI-based cervical cancer brachytherapy

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