21.7.4.7 Medical Applications, Arthritis

Chapter Contents (Back)
Bones. Arthritis.

Patel, N.A., Zoeller, J., Stamper, D.L., Fujimoto, J.G., Brezinski, M.E.,
Monitoring Osteoarthritis in the Rat Model Using Optical Coherence Tomography,
MedImg(24), No. 2, February 2005, pp. 155-159.
IEEE Abstract. 0501
BibRef

Bielecki, A.[Andrzej], Korkosz, M.[Mariusz], Zielinski, B.[Bartosz],
Hand radiographs preprocessing, image representation in the finger regions and joint space width measurements for image interpretation,
PR(41), No. 12, December 2008, pp. 3786-3798.
Elsevier DOI 0810
Image processing; Medical imaging; Thresholding; Thinning; Radiology; Rheumatoid arthritis; X-ray photo; Joint space width BibRef

Bielecka, M.[Marzena], Bielecki, A.[Andrzej], Korkosz, M.[Mariusz], Skomorowski, M.[Marek], Wojciechowski, W.[Wadim], Zielinski, B.[Bartosz],
Application of Shape Description Methodology to Hand Radiographs Interpretation,
ICCVG10(I: 11-18).
Springer DOI 1009
BibRef

Bielecka, M.[Marzena], Bielecki, A.[Andrzej],
An Evolutionary-Neural Algorithm for Solving Inverse IFS Problem for Images in Two-Dimensional Space,
ICCVG12(22-29).
Springer DOI 1210
BibRef

Williams, T.G., Holmes, A.P., Waterton, J.C., Maciewicz, R.A., Hutchinson, C.E., Moots, R.J., Nash, A.F.P., Taylor, C.J.,
Anatomically Corresponded Regional Analysis of Cartilage in Asymptomatic and Osteoarthritic Knees by Statistical Shape Modelling of the Bone,
MedImg(29), No. 8, August 2010, pp. 1541-1559.
IEEE DOI 1008
BibRef

Hockett, F.D., Wallace, K.D., Schmieder, A.H., Caruthers, S.D., Pham, C.T.N., Wickline, S.A., Lanza, G.M.,
Simultaneous Dual Frequency ^1-H and ^19-F Open Coil Imaging of Arthritic Rabbit Knee at 3T,
MedImg(30), No. 1, January 2011, pp. 22-27.
IEEE DOI 1101
MRI Imaging. BibRef

Hielscher, A.H., Kim, H.K., Montejo, L.D., Blaschke, S., Netz, U.J., Zwaka, P.A., Illing, G., Muller, G.A., Beuthan, J.,
Frequency-Domain Optical Tomographic Imaging of Arthritic Finger Joints,
MedImg(30), No. 10, October 2011, pp. 1725-1736.
IEEE DOI 1110
BibRef

Banerjee, I.[Imon], Agibetov, A.[Asan], Catalano, C.E.[Chiara Eva], Patané, G.[Giuseppe], Spagnuolo, M.[Michela],
Semantics-driven annotation of patient-specific 3D data: a step to assist diagnosis and treatment of rheumatoid arthritis,
VC(32), No. 10, October 2016, pp. 1337-1349.
Springer DOI 1610
BibRef

Rizzo, G., Tonietto, M., Castellaro, M., Raffeiner, B., Coran, A., Fiocco, U., Stramare, R., Grisan, E.,
Bayesian Quantification of Contrast-Enhanced Ultrasound Images With Adaptive Inclusion of an Irreversible Component,
MedImg(36), No. 4, April 2017, pp. 1027-1036.
IEEE DOI 1704
Arthritis BibRef

Kashyap, S., Zhang, H., Rao, K., Sonka, M.,
Learning-Based Cost Functions for 3-D and 4-D Multi-Surface Multi-Object Segmentation of Knee MRI: Data From the Osteoarthritis Initiative,
MedImg(37), No. 5, May 2018, pp. 1103-1113.
IEEE DOI 1805
Active shape model, Bones, Cost function, Image segmentation, Radio frequency, 4D LOGISMOS, sub-plates analysis BibRef

Saleem, M.[Mahrukh], Farid, M.S.[Muhammad Shahid], Saleem, S.[Saqib], Khan, M.H.[Muhammad Hassan],
X-ray image analysis for automated knee osteoarthritis detection,
SIViP(14), No. 6, September 2020, pp. 1079-1087.
Springer DOI 2008
BibRef

Nasser, Y.[Yassine], Jennane, R.[Rachid], Chetouani, A.[Aladine], Lespessailles, E.[Eric], El Hassouni, M.[Mohammed],
Discriminative Regularized Auto-Encoder for Early Detection of Knee OsteoArthritis: Data from the Osteoarthritis Initiative,
MedImg(39), No. 9, September 2020, pp. 2976-2984.
IEEE DOI 2009
Feature extraction, Bones, Decoding, Osteoarthritis, Image reconstruction, X-ray imaging, Laboratories, X-ray BibRef

Brahim, A.[Abdelbasset], Riad, R.[Rabia], Jennane, R.[Rachid],
Knee Osteoarthritis Detection Using Power Spectral Density: Data from the OsteoArthritis Initiative,
CAIP19(II:480-487).
Springer DOI 1909
BibRef

Nguyen, H.H., Saarakkala, S., Blaschko, M.B., Tiulpin, A.,
Semixup: In- and Out-of-Manifold Regularization for Deep Semi-Supervised Knee Osteoarthritis Severity Grading From Plain Radiographs,
MedImg(39), No. 12, December 2020, pp. 4346-4356.
IEEE DOI 2012
Osteoarthritis, Machine learning, Medical diagnostic imaging, Diagnostic radiography, Deep learning, knee, semi-supervised learning BibRef

Hu, K.[Kun], Wu, W.H.[Wen-Hua], Li, W.[Wei], Simic, M.[Milena], Zomaya, A.[Albert], Wang, Z.Y.[Zhi-Yong],
Adversarial Evolving Neural Network for Longitudinal Knee Osteoarthritis Prediction,
MedImg(41), No. 11, November 2022, pp. 3207-3217.
IEEE DOI 2211
Deep learning, X-ray imaging, Task analysis, Feature extraction, Diseases, Biomedical imaging, Osteoarthritis, Knee osteoarthritis, adversarial learning BibRef

Bryner, D.[Darshan], Srivastava, A.[Anuj],
Shape Analysis of Functional Data With Elastic Partial Matching,
PAMI(44), No. 12, December 2022, pp. 9589-9602.
IEEE DOI 2212
Shape, COVID-19, Optimization, Synchronization, Analytical models, Urban areas, Functional data analysis, elastic partial matching, elastic Riemannian metric BibRef

Samir, C.[Chafik], Kurtek, S.[Sebastian], Srivastava, A.[Anuj], Borges, N.[Noé],
An elastic functional data analysis framework for preoperative evaluation of patients with Rheumatoid Arthritis,
WACV16(1-8)
IEEE DOI 1606
Arthritis BibRef


Stolpovsky, A.[Alexander], Dakhova, E.[Elizaveta], Druzhinina, P.[Polina], Postnikova, P.[Polina], Kudinsky, D.[Daniil], Smirnov, A.[Alexander], Sukhinina, A.[Anastasia], Lila, A.[Alexander], Kurmukov, A.[Anvar],
RheumaVIT: transformer-based model for Automated Scoring of Hand Joints in Rheumatoid Arthritis,
CVAMD23(2514-2514)
IEEE DOI 2401
BibRef

Aouad, T.[Theodore], Lopez-Medina, C.[Clementina], Martin-Peltier, C.[Charlotte], Bordner, A.[Adrien], Yang, S.[Sisi], Molto, A.[Anna], Dougados, M.[Maxime], Feydy, A.[Antoine], Talbot, H.[Hugues],
Incrementally Semi-Supervised Classification of Arthritis Inflammation on a Clinical Dataset,
ICIP22(3351-3355)
IEEE DOI 2211
Deep learning, Image segmentation, Annotations, Magnetic resonance imaging, Semisupervised learning, follow-up BibRef

Rambojun, A.[Adwaye], Tillett, W.[William], Shardlow, T.[Tony], Campbell, N.D.F.[Neill D. F.],
Active Latent Space Shape Model: A Bayesian Treatment of Shape Model Adaptation with an Application to Psoriatic Arthritis Radiographs,
WACV21(2042-2051)
IEEE DOI 2106
Radiography, Training, Adaptation models, Uncertainty, Shape, Bones, Bayes methods BibRef

Panfilov, E., Tiulpin, A., Klein, S., Nieminen, M.T., Saarakkala, S.,
Improving Robustness of Deep Learning Based Knee MRI Segmentation: Mixup and Adversarial Domain Adaptation,
VRMI19(450-459)
IEEE DOI 2004
Magnetic resonance imaging, Image segmentation, Robustness, Adaptation models, Data acquisition, Diseases, Task analysis, osteoarthritis BibRef

Antony, J., McGuinness, K., O'Connor, N.E., Moran, K.,
Quantifying radiographic knee osteoarthritis severity using deep convolutional neural networks,
ICPR16(1195-1200)
IEEE DOI 1705
Feature extraction, Indexes, Neural networks, Osteoarthritis, Radiography, Support vector machines, Training, Convolutional neural network, KL grades, Knee osteoarthritis, classification, regression, wndchrm BibRef

Minciullo, L., Cootes, T.,
Fully automated shape analysis for detection of Osteoarthritis from lateral knee radiographs,
ICPR16(3787-3791)
IEEE DOI 1705
Bones, Diagnostic radiography, Feature extraction, Manuals, Shape, Vegetation BibRef

Thomson, J.[Jessie], O'Neill, T.[Terence], Felson, D.[David], Cootes, T.[Tim],
Detecting Osteophytes in Radiographs of the Knee to Diagnose Osteoarthritis,
MLMI16(45-52).
Springer DOI 1611
BibRef

Galván-Tejada, J.I.[Jorge I.], Galván-Tejada, C.E.[Carlos E.], Celaya-Padilla, J.M.[José M.], Delgado-Contreras, J.R.[Juan R.], Cervantes, D.[Daniel], Ortiz, M.[Manuel],
Automated Image Registration for Knee Pain Prediction in Osteoarthritis: Data from the OAI,
MCPR16(335-345).
Springer DOI 1608
BibRef

Parascandolo, P.[Patrizia], Cesario, L.[Lorenzo], Vosilla, L.[Loris], Barbieri, F.[Francesca], Cimmino, M.A.[Marco Amedeo], Viano, G.[Gianni],
Novel Automatic Tool for Magnetic Resonance Imaging Quantification of Bone Erosion Scoring in Rheumatoid Arthritis,
RHEUMA15(151-158).
Springer DOI 1511
BibRef

Barbieri, F.[Francesca], Tomatis, V.[Veronica], Zampogna, G.[Giuseppe], Aleo, E.[Elena], Prono, V.[Valentina], Migone, S.[Stefania], Parascandolo, P.[Patrizia], Cesario, L.[Lorenzo], Viano, G.[Gianni], Cimmino, M.A.[Marco Amedeo],
An MRI Study of Bone Erosions Healing in the Wrist and Metacarpophalangeal Joints of Patients with Rheumatoid Arthritis,
RHEUMA15(129-134).
Springer DOI 1511
BibRef

Galván-Tejada, J.I.[Jorge I.], Celaya-Padilla, J.M.[José M.], Galván-Tejada, C.E.[Carlos E.], Trevińo, V.[Victor], Tamez-Peńa, J.G.[José G.],
Radiological Pain Predictors in Knee Osteoarthritis, a Four Feature Selection Comparison: Data from the OAI,
MCPR14(351-360).
Springer DOI 1407
BibRef

Thevenot, J.[Jérôme], Chen, J.[Jie], Finnilä, M.[Mikko], Nieminen, M.[Miika], Lehenkari, P.[Petri], Saarakkala, S.[Simo], Pietikäinen, M.[Matti],
Local Binary Patterns to Evaluate Trabecular Bone Structure from Micro-CT Data: Application to Studies of Human Osteoarthritis,
CVLBP14(63-79).
Springer DOI 1504
BibRef

Brown, J.M.[James M.], Naylor, A.[Amy], Buckley, C.[Chris], Filer, A.[Andrew], Claridge, E.[Ela],
3D Articulated Registration of the Mouse Hind Limb for Bone Morphometric Analysis in Rheumatoid Arthritis,
WBIR14(41-50).
Springer DOI 1407
BibRef

Donoghue, C.R.[Claire R.], Rao, A.[Anil], Bull, A.M.J.[Anthony M. J.], Rueckert, D.[Daniel],
Robust Global Registration through Geodesic Paths on an Empirical Manifold with Knee MRI from the Osteoarthritis Initiative (OAI),
WBIR12(1-10).
Springer DOI 1208
BibRef

Guerrero, R.[Ricardo], Donoghue, C.R.[Claire R.], Pizarro, L.[Luis], Rueckert, D.[Daniel],
Learning Correspondences in Knee MR Images from the Osteoarthritis Initiative,
MLMI12(218-225).
Springer DOI 1211
BibRef

Donoghue, C.R.[Claire R.], Rao, A.[Anil], Pizarro, L.[Luis], Bull, A.M.J.[Anthony M. J.], Rueckert, D.[Daniel],
Fast and accurate global geodesic registrations using knee MRI from the Osteoarthritis Initiative,
MCV12(50-57).
IEEE DOI 1207
BibRef

Park, S.H.[Sang Hyun], Lee, S.[Soochahn], Shim, H.[Hackjoon], Yun, I.D.[Il Dong], Lee, S.U.[Sang Uk], Lee, K.H.[Kyoung Ho], Kang, H.S.[Heung Sik], Han, J.K.[Joon Koo],
Fully automatic 3-D segmentation of knee bone compartments by iterative local branch-and-mincut on MR images from osteoarthritis initiative (OAI),
ICIP09(3381-3384).
IEEE DOI 0911
BibRef

Leung, K.K.[Kelvin K.], Saeed, N.[Nadeem], Changani, K.[Kumar], Campbell, S.P.[Simon P.], Hill, D.L.G.[Derek L.G.],
Spatio-Temporal Segmentation of Rheumatoid Arthritis Lesions in Serial MR Images of Joints,
MMBIA06(91).
IEEE DOI 0609
BibRef

Langs, G.[Georg], Peloschek, P.[Philipp], Bischof, H.[Horst],
ASM Driven Snakes in Rheumatoid Arthritis Assessment,
SCIA03(454-461).
Springer DOI 0310
BibRef

Chapter on Medical Applications, CAT, MRI, Ultrasound, Heart Models, Brain Models continues in
Tomographic Images, CAT Scans (Computed Axial Tomography) .


Last update:Apr 18, 2024 at 11:38:49