Sep 25, 2023 · The aim of this study was to develop a model to accurately identify corresponding points between organ segmentations of different patients for radiotherapy ...

Oct 31, 2023 · The aim of this study was to develop a model to accurately identify corresponding points between organ segmentations of different patients for radiotherapy ...

Oct 31, 2023 · The aim of this study was to develop a model to accurately identify corresponding points between organ segmentations of different patients ...

Oct 31, 2023 · The aim of this study was to develop a model to accurately identify corresponding points between organ segmentations of different patients ...

The aim of this study was to develop a model to accurately identify corresponding points between organ segmentations of different patients for radiotherapy ...

The aim of this study was to develop a model to accurately identify corresponding points between organ segmentations of different patients for radiotherapy ...

Unsupervised Correspondence with Combined Geometric Learning and Imaging for Radiotherapy Applications. https://doi.org/10.1007/978-3-031-46914-5_7 ·.

Oct 30, 2023 · The 23 selected full papers deal with all aspects of leading methods and applications for advanced shape analysis and geometric learning in medical imaging.

Unsupervised correspondence with combined geometric learning and imaging for radiotherapy applications. EGA Henderson, M van Herk, AF Green, EMV Osorio.

Publications. Unsupervised Correspondence with Combined Geometric Learning and Imaging for Radiotherapy Applications. Henderson, EGA; van Herk, M; Green, ...