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Elsevier DOI
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Bartolini, F.,
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0210
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Wirth, W.,
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A Technique for Regional Analysis of Femorotibial Cartilage Thickness
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IEEE DOI
0711
BibRef
Zheng, G.Y.[Guo-Yan],
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IEEE DOI
0802
BibRef
Zheng, G.Y.[Guo-Yan],
Expectation Conditional Maximization-Based Deformable Shape
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Springer DOI
1308
BibRef
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Statistical Deformable Model-Based Reconstruction of a Patient-Specific
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Springer DOI
0909
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Earlier:
A Novel 3D/2D Correspondence Building Method for Anatomy-Based
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WBIR06(75-83).
Springer DOI
0607
BibRef
And:
Reconstruction of Patient-Specific 3D Bone Model from Biplanar X-Ray
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IEEE DOI
0610
BibRef
Zheng, G.Y.[Guo-Yan],
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Surface Reconstruction of Bone from X-ray Images and Point Distribution
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IEEE DOI
0606
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Zheng, G.Y.[Guo-Yan],
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Use of a Dense Surface Point Distribution Model in a Three-Stage
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0601
BibRef
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Fully automatic segmentation of AP pelvis X-rays via random forest
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CVIU(126), No. 1, 2014, pp. 1-10.
Elsevier DOI
1407
BibRef
Earlier:
Fully Automatic Segmentation of AP Pelvis X-rays via Random Forest
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Springer DOI
1308
BibRef
Earlier:
Robust Proximal Femur Segmentation in Conventional X-Ray Images via
Random Forest Regression on Multi-resolution Gradient Features,
ICIAR13(442-450).
Springer DOI
1307
X-ray radiograph
BibRef
Zheng, G.Y.[Guo-Yan],
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Particle Filter Based Automatic Reconstruction of a Patient-Specific
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ACIVS07(616-627).
Springer DOI
0708
BibRef
Earlier: A2, A1:
A Computational Framework for Automatic Determination of Morphological
Parameters of Proximal Femur from Intraoperative Fluoroscopic Images,
ICPR06(I: 1008-1013).
IEEE DOI
0609
BibRef
And: A2, A1:
Fully Automatic Determination of Morphological Parameters of Proximal
Femur from Calibrated Fluoroscopic Images Through Particle Filtering,
ICIAR06(II: 535-546).
Springer DOI
0610
BibRef
Dong, X.[Xiao],
Gonzalez Ballester, M.A.[Miguel A.],
Zheng, G.Y.[Guo-Yan],
Automatic Extraction of Femur Contours from Calibrated Fluoroscopic
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WACV07(55-55).
IEEE DOI
0702
BibRef
Whitmarsh, T.,
Humbert, L.,
de Craene, M.,
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Frangi, A.F.,
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the Proximal Femur From Dual-Energy X-Ray Absorptiometry,
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IEEE DOI
1112
BibRef
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WWW Link.
1203
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Nielsen, M.,
Lillholm, M.,
Christiansen, C.,
Dam, E.B.,
Automatic Quantification of Tibio-Femoral Contact Area and Congruity,
MedImg(31), No. 7, July 2012, pp. 1404-1412.
IEEE DOI
1208
BibRef
Baka, N.,
de Bruijne, M.,
van Walsum, T.,
Kaptein, B.L.,
Giphart, J.E.,
Schaap, M.,
Niessen, W.J.,
Lelieveldt, B.P.F.,
Statistical Shape Model-Based Femur Kinematics From Biplane Fluoroscopy,
MedImg(31), No. 8, August 2012, pp. 1573-1583.
IEEE DOI
1208
BibRef
Cheng, Y.Z.[Yuan-Zhi],
Zhou, S.J.[Sheng-Jun],
Wang, Y.D.[Ya-Dong],
Guo, C.Y.[Chang-Yong],
Bai, J.[Jing],
Tamura, S.[Shinichi],
Automatic segmentation technique for acetabulum and femoral head in CT
images,
PR(46), No. 11, November 2013, pp. 2969-2984.
Elsevier DOI
1306
Hip joint; Osteoarthritis; Mathematical morphology; Vertex
normal; Threshold selection
BibRef
Lindner, C.,
Thiagarajah, S.,
Wilkinson, J.M.,
Wallis, G.A.,
Cootes, T.F., The arcOGEN Consortium.
Fully Automatic Segmentation of the Proximal Femur Using Random
Forest Regression Voting,
MedImg(32), No. 8, 2013, pp. 1462-1472.
IEEE DOI
1308
Detectors
BibRef
Liu, B.[Bin],
Jia, X.Y.[Xian-Yong],
Huang, Z.H.[Zhi-Huan],
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VC(29), No. 12, December 2013, pp. 1259-1267.
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1312
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Akkoul, S.[Sonia],
Hafiane, A.[Adel],
Rozenbaum, O.[Olivier],
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Elsevier DOI
1711
3D, shape, reconstruction
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Akkoul, S.[Sonia],
Hafiane, A.[Adel],
Leconge, R.,
Harrar, K.,
Lespessailles, E.[Eric],
Jennane, R.[Rachid],
3D reconstruction method of the proximal femur and shape correction,
IPTA14(1-6)
IEEE DOI
1503
diagnostic radiography
BibRef
Guan, B.[Bin],
Yao, J.[Jinkun],
Zhang, G.S.[Guo-Shan],
Wang, X.B.[Xin-Bo],
Thigh fracture detection using deep learning method based on new
dilated convolutional feature pyramid network,
PRL(125), 2019, pp. 521-526.
Elsevier DOI
1909
Thigh fracture detection, Feature pyramid network (FPN),
Convolutional neural networks (CNN), Computer aided detection (CAD)
BibRef
Chen, L.[Lei],
Cui, Y.T.[Yu-Tao],
Song, H.[Hong],
Huang, B.X.[Bing-Xuan],
Yang, J.[Jian],
Zhao, D.[Di],
Xia, B.[Bei],
Femoral head segmentation based on improved fully convolutional neural
network for ultrasound images,
SIViP(14), No. 5, July 2020, pp. 1043-1051.
Springer DOI
2006
BibRef
Guan, B.[Bin],
Yao, J.[Jinkun],
Wang, S.Q.[Shao-Quan],
Zhang, G.[Guoshan],
Zhang, Y.M.[Yue-Ming],
Wang, X.B.[Xin-Bo],
Wang, M.X.[Meng-Xuan],
Automatic detection and localization of thighbone fractures in X-ray
based on improved deep learning method,
CVIU(216), 2022, pp. 103345.
Elsevier DOI
2202
Thighbone fracture detection, Deep learning,
Deep convolutional neural networks, Computer-aided diagnosis, X-ray
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Lu, X.[Xu],
Cui, Z.Z.[Zeng-Zhen],
Sun, Y.H.[Yi-Hua],
Khor, H.G.[Hee Guan],
Sun, A.[Ao],
Ma, L.F.[Long-Fei],
Chen, F.[Fang],
Gao, S.[Shan],
Tian, Y.[Yun],
Zhou, F.[Fang],
Lv, Y.[Yang],
Liao, H.[Hongen],
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Rough Annotations,
MedImg(43), No. 9, September 2024, pp. 3240-3252.
IEEE DOI Code:
WWW Link.
2409
Annotations, Image segmentation, Surgery, Biological tissues,
Computed tomography, Image edge detection, Feature extraction,
weakly-supervised learning
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Xie, D.S.[Dong-Sheng],
Xue, W.Y.[Wang-Yu],
He, J.[Jiabin],
Luo, Y.Y.[Yang-Yu],
Wang, X.Y.[Xin-Yuan],
Yan, Z.Q.[Zuo-Qin],
A Small-Scaled Intraoperative 3D Visualization Navigation System for
Femoral Head Repair Surgery,
ICIVC21(328-335)
IEEE DOI
2112
Head, Navigation, Surgery, Mixed reality,
Medical services, Maintenance engineering, pose estimation
BibRef
Kim, K.J.[Ki-Jung],
Lee, S.K.[Seung-Kyu],
Kim, Y.H.[Yoon Hyuk],
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model with twist correction,
ICIP15(3645-3649)
IEEE DOI
1512
3D reconstruction; femur; generic 3d model; medical; twist; x-ray
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Alathari, T.S.[Thamer S.],
Nixon, M.S.[Mark S.],
Bah, M.T.[Mamadou T.],
Femur Bone Segmentation Using a Pressure Analogy,
ICPR14(972-977)
IEEE DOI
1412
Bones
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Boussaid, H.[Haithem],
Kadoury, S.[Samuel],
Kokkinos, I.[Iasonas],
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Zheng, G.[Guoyan],
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BMVC11(xx-yy).
HTML Version.
1110
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Akkoul, S.[Sonia],
Hafiane, A.[Adel],
3D Femur Reconstruction Using X-Ray Stereo Pairs,
CIAP13(II:91-100).
Springer DOI
1309
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Horácek, J.[Jan],
Marálek, L.[Luká],
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Segmentation of Femoral Head from CT after Femoral Neck Fracture,
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Gamage, P.,
Xie, S.Q.,
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Xu, P.,
Pose estimation of femur fracture segments for image guided orthopedic
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IVCNZ09(288-292).
IEEE DOI
0911
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Gamage, P.,
Xie, S.Q.,
Delmas, P.,
Xu, P.,
3D Reconstruction of Patient Specific Bone Models from 2D Radiographs
for Image Guided Orthopedic Surgery,
DICTA09(212-216).
IEEE DOI
0912
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Gamage, P.,
Xie, S.Q.,
Delmas, P.,
Xu, P.,
Mukherjee, S.,
Patient-Specific Customization of a Generic Femur Model Using
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DICTA08(449-456).
IEEE DOI
0812
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Strozzi, A.G.[Alfonso Gastelum],
Delmas, P.,
Lefrancq, M.,
Duwig, C.,
Marquez, J.,
Prado, B.,
Gimel'farb, G.L.,
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Visualising 3D porous media fluid interaction using X-ray CT data and
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IVCNZ10(1-8).
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1203
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Strozzi, A.G.[Alfonso Gastelum],
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Ding, F.[Feng],
Leow, W.K.[Wee Kheng],
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Automatic Segmentation of Femur Bones in Anterior-Posterior Pelvis
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CAIP07(205-212).
Springer DOI
0708
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Chen, Y.[Ying],
Ee, X.[Xianhe],
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Automatic Extraction of Femur Contours from Hip X-Ray Images,
CVBIA05(200-209).
Springer DOI
0601
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Tian, T.P.[Tai Peng],
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Leow, W.K.[Wee Kheng],
Hsu, W.[Wynne],
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Vicent Safont, L.,
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3D reconstruction of third proximal femur (31-) with active contours,
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IEEE DOI
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Chapter on Medical Applications, CAT, MRI, Ultrasound, Heart Models, Brain Models continues in
Medical Applications, Vertebra, Spine, Skeletons, Bone .