8 citations · 10 across the 3 of their papers we have counts for
3 papers
physics.med-ph2024★ 1 cited
MRI-based Head and Neck Tumor Segmentation Using nnU-Net with 15-fold Cross-Validation Ensemble
Frank N. Mol, Luuk van der Hoek, Baoqiang Ma +6
The superior soft tissue differentiation provided by MRI may enable more accurate tumor segmentation compared to CT and PET, potentially enhancing adaptive radiotherapy treatment p…
eess.IV2020★ 1 cited
Recurrent convolutional neural networks for mandible segmentation from computed tomography
Bingjiang Qiu, Jiapan Guo, Joep Kraeima +4
Recently, accurate mandible segmentation in CT scans based on deep learning methods has attracted much attention. However, there still exist two major challenges, namely, metal art…
cs.CV2018★ 8 cited
3D segmentation of mandible from multisectional CT scans by convolutional neural networks
Bingjiang Qiu, Jiapan Guo, J. Kraeima +3
Segmentation of mandibles in CT scans during virtual surgical planning is crucial for 3D surgical planning in order to obtain a detailed surface representation of the patients bone…