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1.
A novel technique to quantify bone-to-implant contact of zygomatic implants: a radiographic analysis based on three-dimensional image registration and segmentation.
Dentomaxillofac Radiol
; 52(2): 20220210, 2023 Jan.
Artículo
en Inglés
| MEDLINE | ID: mdl-36645052
2.
Automatic segmentation of orbital wall from CT images via a thin wall region supervision-based multi-scale feature search network.
Int J Comput Assist Radiol Surg
; 18(11): 2051-2062, 2023 Nov.
Artículo
en Inglés
| MEDLINE | ID: mdl-37219805
3.
Development and model form assessment of an automatic subject-specific vertebra reconstruction method.
Comput Biol Med
; 150: 106158, 2022 11.
Artículo
en Inglés
| MEDLINE | ID: mdl-37859278
4.
Automatic surgical planning based on bone density assessment and path integral in cone space for reverse shoulder arthroplasty.
Int J Comput Assist Radiol Surg
; 17(6): 1017-1027, 2022 Jun.
Artículo
en Inglés
| MEDLINE | ID: mdl-35489006
5.
A 3D segmentation network of mandible from CT scan with combination of multiple convolutional modules and edge supervision in mandibular reconstruction.
Comput Biol Med
; 138: 104925, 2021 11.
Artículo
en Inglés
| MEDLINE | ID: mdl-34656866
6.
Automatic mandible segmentation from CT image using 3D fully convolutional neural network based on DenseASPP and attention gates.
Int J Comput Assist Radiol Surg
; 16(10): 1785-1794, 2021 Oct.
Artículo
en Inglés
| MEDLINE | ID: mdl-34287750
7.
The development of computer-aided patient-specific template design software for 3D printing in cranio-maxillofacial surgery.
Int J Med Robot
; 17(3): e2243, 2021 Jun.
Artículo
en Inglés
| MEDLINE | ID: mdl-33580624
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