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A review on the application of deep learning for CT reconstruction, bone segmentation and surgical planning in oral and maxillofacial surgery. / Minnema, Jordi; Ernst, Anne; van Eijnatten, Maureen et al.
Research output: Contribution to journal/Conference contribution in journal/Contribution to newspaper › Review › Research › peer-review
Influence of head positioning during cone-beam CT imaging on the accuracy of virtual 3d models. / van Eijnatten, Maureen; Wolff, Jan; Pauwels, Ruben et al.
Research output: Contribution to journal/Conference contribution in journal/Contribution to newspaper › Journal article › Research › peer-review
Editorial : Creative digital design and manufacturing in medicine. / Salmi, Mika; Wolff, Jan; Mäkitie, Antti.
Research output: Contribution to journal/Conference contribution in journal/Contribution to newspaper › Editorial › peer-review
Comparison of convolutional neural network training strategies for cone-beam CT image segmentation. / Minnema, Jordi; Wolff, Jan; Koivisto, Juha et al.
Efficient high cone-angle artifact reduction in circular cone-beam CT using deep learning with geometry-aware dimension reduction. / Minnema, Jordi; van Eijnatten, Maureen; der Sarkissian, Henri et al.
Comparative dosimetry of radiography device, MSCT device and two CBCT devices in the elbow region. / Koivisto, Juha; van Eijnatten, Maureen; Ludlow, John et al.
On the limits of finite element models created from (micro)CT datasets and used in studies of bone-implant-related biomechanical problems. / Marcián, Petr; Borák, Libor; Zikmund, Tomáš et al.