Sarry, L.,
Tilmant, C.,
Boisgard, S.,
Boire, J.Y.,
Levai, J.P.,
Monitoring of polyethylene wear in nonmetal-backed acetubular cups by
digitized anteroposterior pelvic radiography,
MedImg(22), No. 9, September 2003, pp. 1172-1182.
IEEE Abstract.
0309
BibRef
Wu, J.[Jie],
Belle, A.[Ashwin],
Hargraves, R.H.[Rosalyn H.],
Cockrell, C.[Charles],
Tang, Y.[Yang],
Najarian, K.[Kayvan],
Bone segmentation and 3D visualization of CT images for traumatic
pelvic injuries,
IJIST(24), No. 1, 2014, pp. 29-38.
DOI Link
1403
traumatic pelvic injury
BibRef
Chen, C.[Cheng],
Zheng, G.Y.[Guo-Yan],
Fully automatic segmentation of AP pelvis X-rays via random forest
regression with efficient feature selection and hierarchical sparse
shape composition,
CVIU(126), No. 1, 2014, pp. 1-10.
Elsevier DOI
1407
BibRef
Earlier:
Fully Automatic Segmentation of AP Pelvis X-rays via Random Forest
Regression and Hierarchical Sparse Shape Composition,
CAIP13(335-343).
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],
Dong, X.[Xiao],
Particle Filter Based Automatic Reconstruction of a Patient-Specific
Surface Model of a Proximal Femur from Calibrated X-Ray Images for
Surgical Navigation,
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
Images,
WACV07(55-55).
IEEE DOI
0702
BibRef
Cao, X.,
Yang, J.,
Gao, Y.,
Wang, Q.,
Shen, D.,
Region-Adaptive Deformable Registration of CT/MRI Pelvic Images via
Learning-Based Image Synthesis,
IP(27), No. 7, July 2018, pp. 3500-3512.
IEEE DOI
1805
Bidirectional control, Biological tissues, Computed tomography,
Image generation, Image registration, Magnetic resonance imaging,
radiation therapy
BibRef
Morooka, K.[Ken'ichi],
Matsubara, R.[Ryota],
Miyauchi, S.[Shoko],
Fukuda, T.[Takaichi],
Sugii, T.[Takeshi],
Kurazume, R.[Ryo],
Ancient pelvis reconstruction from collapsed component bones using
statistical shape models,
MVA(30), No. 1, February 2019, pp. 59-69.
Springer DOI
1904
BibRef
Zhang, Y.,
Li, F.,
Qiu, L.,
Xu, L.,
Niu, X.,
Sui, Y.,
Zhang, S.,
Zhang, Q.,
Zhang, L.,
Toward Precise Osteotomies: A Coarse-to-Fine 3D Cut Plane Planning
Method for Image-Guided Pelvis Tumor Resection Surgery,
MedImg(39), No. 5, May 2020, pp. 1511-1523.
IEEE DOI
2005
Tumors, Planning, Bones, Surgery, Pelvis,
Cut plane planning, 3D cut plane refinement
BibRef
Liu, C.,
Xie, H.,
Zhang, S.,
Mao, Z.,
Sun, J.,
Zhang, Y.,
Misshapen Pelvis Landmark Detection With Local-Global Feature
Learning for Diagnosing Developmental Dysplasia of the Hip,
MedImg(39), No. 12, December 2020, pp. 3944-3954.
IEEE DOI
2012
Pelvis, Feature extraction, Deep learning, Hip, X-ray imaging,
Medical diagnostic imaging, Developmental dysplasia of the hip,
medical imaging
BibRef
Zeng, B.[Bolun],
Wang, H.X.[Hui-Xiang],
Xu, J.C.[Jiang-Chang],
Tu, P.[Puxun],
Joskowicz, L.[Leo],
Chen, X.J.[Xiao-Jun],
Two-Stage Structure-Focused Contrastive Learning for Automatic
Identification and Localization of Complex Pelvic Fractures,
MedImg(42), No. 9, September 2023, pp. 2751-2762.
IEEE DOI
2310
BibRef
Ali, M.[Mudassar],
Hu, H.J.[Hao-Ji],
Wu, T.[Tong],
Mansoor, M.[Maryam],
Luo, Q.[Qiong],
Zheng, W.Z.[Wei-Zeng],
Jin, N.[Neng],
Segmentation of MRI tumors and pelvic anatomy via cGAN-synthesized
data and attention-enhanced U-Net,
PRL(187), 2025, pp. 100-106.
Elsevier DOI
2501
Medical image segmentation, Synthetic data, Conditional GAN,
U-Net, Attention gates, MRI, Brain tumor, Liver tumor, Pelvic organ
BibRef
Chen, H.M.[Hao-Min],
Dreizin, D.[David],
Gomez, C.[Catalina],
Zapaishchykova, A.[Anna],
Unberath, M.[Mathias],
Interpretable Severity Scoring of Pelvic Trauma Through Automated
Fracture Detection and Bayesian Inference,
MedImg(44), No. 1, January 2025, pp. 130-141.
IEEE DOI
2501
Computed tomography, Injuries, Bayes methods, Feature extraction,
Artificial intelligence, Deep learning, Bayesian inference,
human-computer interaction
BibRef
Zhao, X.[Xirui],
Xiao, D.Q.[De-Qiang],
Zhang, T.[Teng],
Shao, L.[Long],
Ai, D.[Danni],
Fan, J.F.[Jing-Fan],
Fu, T.Y.[Tian-Yu],
Lin, Y.C.[Yu-Cong],
Song, H.[Hong],
Wang, J.Q.[Jun-Qiang],
Yang, J.[Jian],
Pelvic Fracture Reduction Planning via Joint Shape-Intensity
Reference,
MedImg(45), No. 4, April 2026, pp. 1352-1368.
IEEE DOI
2604
Planning, Computed tomography, Bones, Shape, Pelvis, Surgery,
Image synthesis, Image segmentation, Image reconstruction, landmark graph
BibRef
Liu, J.X.[Jia-Xuan],
Li, H.T.[Hai-Tao],
Zeng, B.[Bolun],
Wang, H.X.[Hui-Xiang],
Kikinis, R.[Ron],
Joskowicz, L.[Leo],
Chen, X.J.[Xiao-Jun],
An End-to-End Geometry-Based Pipeline for Automatic Preoperative
Surgical Planning of Pelvic Fracture Reduction and Fixation,
MedImg(44), No. 1, January 2025, pp. 79-91.
IEEE DOI
2501
Planning, Bones, Labeling, Surgery, Surface cracks, Fasteners, Pipelines,
Computer-assisted surgery, preoperative planning, pelvic fracture reduction
BibRef
Sang, Y.[Yudi],
Liu, Y.Z.[Yan-Zhen],
Yibulayimu, S.[Sutuke],
Wang, Y.N.[Yun-Ning],
Killeen, B.D.[Benjamin D.],
Liu, M.X.[Ming-Xu],
Ku, P.C.[Ping-Cheng],
Johannsen, O.[Ole],
Gotkowski, K.[Karol],
Zenk, M.[Maximilian],
Maier-Hein, K.[Klaus],
Isensee, F.[Fabian],
Yue, P.[Peiyan],
Wang, Y.[Yi],
Yu, H.D.[Hai-Dong],
Pan, Z.H.[Zhao-Hong],
He, Y.T.[Yu-Tong],
Liang, X.K.[Xiao-Kun],
Liu, D.[Daiqi],
Fan, F.[Fuxin],
Jurgas, A.[Artur],
Skalski, A.[Andrzej],
Ma, Y.X.[Yu-Xi],
Yang, J.[Jing],
Plotka, S.[Szymon],
Litka, R.[Rafal],
Zhu, G.[Gang],
Song, Y.C.[Ying-Chun],
Unberath, M.[Mathias],
Armand, M.[Mehran],
Ruan, D.[Dan],
Zhou, S.K.[S. Kevin],
Cao, Q.[Qiyong],
Zhao, C.P.[Chun-Peng],
Wu, X.[Xinbao],
Wang, Y.[Yu],
Benchmark of Segmentation Techniques for Pelvic Fracture in CT and
X-Ray: Summary of the PENGWIN 2024 Challenge,
MedImg(45), No. 5, May 2026, pp. 2212-2228.
IEEE DOI
2605
Image segmentation, Computed tomography, X-ray imaging,
Biomedical imaging, Planning, Surgery, Accuracy, Robots, Deep learning,
pelvic fracture
BibRef
Chen, H.M.[Hao-Min],
Wang, Y.R.[Yi-Rui],
Zheng, K.[Kang],
Li, W.J.[Wei-Jian],
Chang, C.T.[Chi-Tung],
Harrison, A.P.[Adam P.],
Xiao, J.[Jing],
Hager, G.D.[Gregory D.],
Lu, L.[Le],
Liao, C.H.[Chien-Hung],
Miao, S.[Shun],
Anatomy-aware Siamese Network: Exploiting Semantic Asymmetry for
Accurate Pelvic Fracture Detection in X-ray Images,
ECCV20(XXIII:239-255).
Springer DOI
2011
BibRef
Malladi, S.P.K.[Sai Phani Kumar],
Veduruparthi, B.K.[Bijju Kranthi],
Mukherjee, J.[Jayanta],
Das, P.P.[Partha Pratim],
Chakrabarti, S.[Saswat],
Mallick, I.[Indranil],
Automated Measurement of Translational Margins and Rotational Shifts in
Pelvic Structures Using CBCT Images of Rectal Cancer Patients,
PReMI17(103-109).
Springer DOI
1711
BibRef
Bay, T.[Thierry],
Raffin, R.[Romain],
Daniel, M.[Marc],
Discrete Geometric Modeling of Thick Pelvic Organs with a Medial Axis,
ICCVG12(14-21).
Springer DOI
1210
BibRef
Zhang, C.[Cheng],
Christensen, G.E.[Gary E.],
Kurtek, S.[Sebastian],
Srivastava, A.[Anuj],
Murphy, M.J.[Martin J.],
Weiss, E.[Elisabeth],
Bai, E.[Erwei],
Williamson, J.F.[Jeffrey F.],
SUPIR: Surface Uncertainty-Penalized, Non-rigid Image Registration for
Pelvic CT Imaging,
WBIR12(236-245).
Springer DOI
1208
BibRef
Chowdhury, A.S.[Ananda S.],
Burns, J.[Joseph],
Sen, B.[Bhaskar],
Mukherjee, A.[Arka],
Yao, J.H.[Jian-Hua],
Summers, R.M.[Ronald M.],
Detection of pelvic fractures using graph cuts and curvatures,
ICIP11(1573-1576).
IEEE DOI
1201
BibRef
Constantinou, C.E.[Christos E.],
McLean, L.[Linda],
Kuhl, E.[Ellen],
Chen, B.[Bertha],
Imaging-Based Computation of the Dynamics of Pelvic Floor Deformation
and Strain Visualization Analysis,
ISVC10(III: 604-612).
Springer DOI
1011
BibRef
Ding, F.[Feng],
Leow, W.K.[Wee Kheng],
Howe, T.S.[Tet Sen],
Automatic Segmentation of Femur Bones in Anterior-Posterior Pelvis
X-Ray Images,
CAIP07(205-212).
Springer DOI
0708
BibRef
Chen, Y.[Ying],
Ee, X.[Xianhe],
Leow, W.K.[Wee Kheng],
Howe, T.S.[Tet Sen],
Automatic Extraction of Femur Contours from Hip X-Ray Images,
CVBIA05(200-209).
Springer DOI
0601
BibRef
Tanács, A.[Attila],
Máté, E.[Eörs],
Kuba, A.[Attila],
Application of Automatic Image Registration in a Segmentation Framework
of Pelvic CT Images,
CAIP05(628).
Springer DOI
0509
BibRef
Jedrzejek, C.[Czeslaw],
Lempicki, A.[Andrzej],
Renk, R.[Rafa],
Radziulis, J.[Jakub],
3-D Modeling and Parametrisation of Pelvis and Hip Joint,
CAIP01(282 ff.).
Springer DOI
0210
BibRef
Chapter on Medical Applications, CAT, MRI, Ultrasound, Heart Models, Brain Models continues in
Medical Applications, Femur Analysis, Bone .