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Revenu, M.,
Deshayes, M.J.,
Shape variability and spatial relationships modeling in statistical
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BibRef
And:
Contour tracking by minimal cost path approach. application to
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ICIP04(II: 937-940).
IEEE DOI
0505
BibRef
Earlier:
Linear and non-linear model for statistical localization of landmarks,
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IEEE DOI
0211
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1209
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IEEE DOI
1404
Image segmentation
BibRef
Potesil, V.[Vaclav],
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IEEE DOI
1404
Adaptation models
See also Personalized Graphical Models for Anatomical Landmark Localization in Whole-Body Medical Images.
BibRef
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Maree, R.,
Jodogne, S.,
Geurts, P.,
Chen, C.,
Zheng, G.,
Chu, C.,
Mirzaalian, H.,
Hamarneh, G.,
Vrtovec, T.,
Ibragimov, B.,
Evaluation and Comparison of Anatomical Landmark Detection Methods
for Cephalometric X-Ray Images: A Grand Challenge,
MedImg(34), No. 9, September 2015, pp. 1890-1900.
IEEE DOI
1509
Biomedical imaging
BibRef
Jimenez-del-Toro, O.,
Müller, H.,
Krenn, M.,
Gruenberg, K.,
Taha, A.A.,
Winterstein, M.,
Eggel, I.,
Foncubierta-Rodríguez, A.,
Goksel, O.,
Jakab, A.,
Kontokotsios, G.,
Langs, G.,
Menze, B.H.,
Salas Fernandez, T.,
Schaer, R.,
Walleyo, A.,
Weber, M.A.,
Dicente Cid, Y.,
Gass, T.,
Heinrich, M.,
Jia, F.,
Kahl, F.,
Kechichian, R.,
Mai, D.,
Spanier, A.B.,
Vincent, G.,
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Wyeth, D.,
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Cloud-Based Evaluation of Anatomical Structure Segmentation and
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MedImg(35), No. 11, November 2016, pp. 2459-2475.
IEEE DOI
1609
Anatomical structure
BibRef
Ibragimov, B.,
Korez, R.,
Likar, B.,
Pernuš, F.,
Xing, L.,
Vrtovec, T.,
Segmentation of Pathological Structures by Landmark-Assisted
Deformable Models,
MedImg(36), No. 7, July 2017, pp. 1457-1469.
IEEE DOI
1707
Computational modeling, Deformable models, Image edge detection,
Image segmentation, Laplace equations, Pathology, Shape,
Laplacian mesh editing, corpus callosum segmentation,
deformablemodels, landmark detection, pathology analysis,
prostate segmentation, vertebra, segmentation
BibRef
Norajitra, T.[Tobias],
Maier-Hein, K.H.[Klaus H.],
3D Statistical Shape Models Incorporating Landmark-Wise Random
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MedImg(36), No. 1, January 2017, pp. 155-168.
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1701
Adaptation models
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Jacinto, H.[Hector],
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Prost, R.[Rémy],
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JVCIR(50), 2018, pp. 167-177.
Elsevier DOI
1802
Orthopaedics, Knee, Landmarks, Atlas, Registration, Positioning
BibRef
Jacinto, H.[Hector],
Kechichian, R.,
Valette, S.[Sébastien],
Prost, R.[Rémy],
Positioning of anatomical landmarks in orthopedics by MESH
registration,
ICIP14(3572-3576)
IEEE DOI
1502
Biomedical imaging
BibRef
Maghsoudi, O.H.[Omid Haji],
Vahedipour, A.[Annie],
Spence, A.[Andrew],
Three-dimensional-based landmark tracker employing a superpixels
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IJIST(29), No. 4, 2019, pp. 419-430.
DOI Link
1911
3D reconstruction, animal tracking, biomechanics, Kalman filter,
neuroscience, spinal cord injury, superpixels
BibRef
Torosdagli, N.,
Liberton, D.K.,
Verma, P.,
Sincan, M.,
Lee, J.S.,
Bagci, U.,
Deep Geodesic Learning for Segmentation and Anatomical Landmarking,
MedImg(38), No. 4, April 2019, pp. 919-931.
IEEE DOI
1904
Image segmentation, Bones,
Computed tomography, Computer architecture, Image analysis,
cone beam computed tomography (CBCT)
BibRef
Noothout, J.M.H.[Julia M. H.],
de Vos, B.D.[Bob D.],
Wolterink, J.M.[Jelmer M.],
Postma, E.M.[Elbrich M.],
Smeets, P.A.M.[Paul A. M.],
Takx, R.A.P.[Richard A. P.],
Leiner, T.[Tim],
Viergever, M.A.[Max A.],
Išgum, I.[Ivana],
Deep Learning-Based Regression and Classification for Automatic
Landmark Localization in Medical Images,
MedImg(39), No. 12, December 2020, pp. 4011-4022.
IEEE DOI
2012
Task analysis, Heating systems, Convolutional neural networks,
Medical diagnostic imaging, Kernel, Head, Landmark localization,
olfactory MR
BibRef
Chen, R.N.[Run-Nan],
Ma, Y.X.[Yue-Xin],
Chen, N.L.[Neng-Lun],
Liu, L.J.[Ling-Jie],
Cui, Z.M.[Zhi-Ming],
Lin, Y.H.[Yan-Hong],
Wang, W.P.[Wen-Ping],
Structure-Aware Long Short-Term Memory Network for 3D Cephalometric
Landmark Detection,
MedImg(41), No. 7, July 2022, pp. 1791-1801.
IEEE DOI
2207
Heating systems, Nose, Learning systems, Knowledge based systems,
Computed tomography, Bones, CBCT, anatomical landmark detection, LSTM
BibRef
Schobs, L.A.[Lawrence Andrew],
Swift, A.J.[Andrew J.],
Lu, H.P.[Hai-Ping],
Uncertainty Estimation for Heatmap-Based Landmark Localization,
MedImg(42), No. 4, April 2023, pp. 1021-1034.
IEEE DOI
2304
Uncertainty, Heating systems, Location awareness,
Measurement uncertainty, Task analysis, Image segmentation,
U-Net
BibRef
Guo, Y.Y.[Yu-Yu],
Bi, L.[Lei],
Wei, D.M.[Dong-Ming],
Chen, L.Y.[Li-Yun],
Zhu, Z.B.[Zheng-Bin],
Feng, D.[Dagan],
Zhang, R.Y.[Rui-Yan],
Wang, Q.[Qian],
Kim, J.M.[Jin-Man],
Unsupervised Landmark Detection-Based Spatiotemporal Motion
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Cyber(53), No. 6, June 2023, pp. 3532-3545.
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2305
Strain, Motion estimation, Biomedical imaging, Dynamics,
Image registration, Topology, Optimization, Image registration,
unsupervised landmark detection
BibRef
Huang, Z.X.[Zi-Xun],
Zhao, R.[Rui],
Leung, F.H.F.[Frank H. F.],
Banerjee, S.[Sunetra],
Lam, K.M.[Kin-Man],
Zheng, Y.P.[Yong-Ping],
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Landmark Localization From Medical Images With Generative
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WWW Link.
2407
Heating systems, Location awareness, Biomedical imaging,
Task analysis, Training, Estimation, Detectors, heatmap-based localization
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Palazzo, S.,
Bellitto, G.,
Prezzavento, L.,
Rundo, F.,
Bagci, U.,
Giordano, D.,
Leonardi, R.,
Spampinato, C.,
Deep Multi-stage Model for Automated Landmarking of
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ICPR21(9982-9987)
IEEE DOI
2105
Image segmentation, Image resolution, Computed tomography,
Atmospheric modeling, Pipelines, Anatomical structure, Aerospace electronics
BibRef
Quan, Q.[Quan],
Yao, Q.S.[Qing-Song],
Li, J.[Jun],
Zhou, S.K.[S. Kevin],
Which images to label for few-shot medical landmark detection?,
CVPR22(20574-20584)
IEEE DOI
2210
Training, Deep learning, Annotations, Training data, Estimation,
Feature extraction, Medical, biological and cell microscopy,
Self- semi- meta- Transfer/low-shot/long-tail learning
BibRef
Yin, Z.[Zihao],
Gong, P.[Ping],
Wang, C.Y.[Chun-Yu],
Yu, Y.Z.[Yi-Zhou],
Wang, Y.Z.[Yi-Zhou],
One-Shot Medical Landmark Localization by Edge-Guided Transform and
Noisy Landmark Refinement,
ECCV22(XXI:473-489).
Springer DOI
2211
BibRef
O'Neil, A.Q.[Alison Q.],
Kascenas, A.[Antanas],
Henry, J.[Joseph],
Wyeth, D.[Daniel],
Shepherd, M.[Matthew],
Beveridge, E.[Erin],
Clunie, L.[Lauren],
Sansom, C.[Carrie],
Šeduikyte, E.[Evelina],
Muir, K.[Keith],
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Attaining Human-Level Performance with Atlas Location Autocontext for
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DeepLearn-G18(III:470-484).
Springer DOI
1905
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Riegler, G.,
Urschler, M.[Martin],
Ruther, M.,
Bischof, H.[Horst],
Stern, D.,
Anatomical Landmark Detection in Medical Applications Driven by
Synthetic Data,
TASKCV15(85-89)
IEEE DOI
1602
Biomedical imaging
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Bieth, M.[Marie],
Donner, R.[Rene],
Langs, G.[Georg],
Schwaiger, M.[Markus],
Menze, B.H.[Bjoern H.],
Anatomical triangulation: from sparse landmarks to dense annotation of
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BMVC15(xx-yy).
DOI Link
1601
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Gass, T.[Tobias],
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Multi-atlas Segmentation and Landmark Localization in Images with Large
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MCV14(171-180).
Springer DOI
1501
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Masutani, Y.[Yoshitaka],
Nemoto, M.[Mitsutaka],
Hanaoka, S.[Shohei],
Hayashi, N.[Naoto],
Ohtomo, K.[Kuni],
Appearance Similarity Flow for Quantification of Anatomical Landmark
Uncertainty in Medical Images,
ISVC12(I: 12-21).
Springer DOI
1209
BibRef
Demir, A.[Ali],
Unal, G.[Gozde],
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Anatomical Landmark Based Registration of Contrast Enhanced T1-Weighted
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WBIR10(91-103).
Springer DOI
1007
BibRef
Ma, L.H.[Li-Hong],
Jiang, S.M.[Sheng-Min],
Zhang, Y.[Yu],
Lin, C.Y.[Chun-Yi],
Lu, H.Q.[Han-Qing],
Craniofacial Landmark Detection by Layered Diffusion and Dilated
Skeleton Maps,
ICARCV06(1-5).
IEEE DOI
0612
BibRef
Burnsides, D.,
Boehmer, M.,
Robinette, K.M.,
3-D landmark detection and identification in the CAESAR project,
3DIM01(393-398).
IEEE DOI
0106
BibRef
Robinette, K.M.,
Daanen, H.A.M.,
Paquet, E.,
The CAESAR project: a 3-D surface anthropometry survey,
3DIM99(380-386).
IEEE DOI
9910
BibRef
Chapter on Medical Applications, CAT, MRI, Ultrasound, Heart Models, Brain Models continues in
Medical Applications, Microscope Image Analysis .