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20172026
most citedThe use of deep learning in interventional radiotherapy (brachytherapy): a review with a focus on open source and open data

7 citations · 15 across the 10 of their papers we have counts for

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Showing 2022Show all

2 papers · 1 filter

eess.IV2022

IB-U-Nets: Improving medical image segmentation tasks with 3D Inductive Biased kernels

Shrajan Bhandary, Zahra Babaiee, Dejan Kostyszyn +4

Despite the success of convolutional neural networks for 3D medical-image segmentation, the architectures currently used are still not robust enough to the protocols of different s…

physics.med-ph2022★ 7 cited

The use of deep learning in interventional radiotherapy (brachytherapy): a review with a focus on open source and open data

Tobias Fechter, Ilias Sachpazidis, Dimos Baltas

Deep learning advanced to one of the most important technologies in almost all medical fields. Especially in areas, related to medical imaging it plays a big role. However, in inte…