21.12.4 Ultrasound, Ultrasonic, Image Segmentation, Contour Extraction, Contour Motion

Chapter Contents (Back)
Ultrasound.
See also Kidney Disease, Tomography, CAT Analysis, Other Methods.

Muzzolini, R.E.[Russ E.], Yang, Y.H., and Pierson, R.A.,
A Multiresolution Texture Segmentation Approach with Application to Diagnostic Ultrasound Images,
MedImg(12), No. 1, March 1993, pp. 108-123.
IEEE Top Reference. Segmentation, Texture.
See also Texture Characterization Using Robust Statistics. BibRef 9303

Herlin, I.L.[Isabelle L.], Ayache, N.J.[Nicholas J.],
Features extraction and analysis methods for sequences of ultrasound Images,
IVC(10), No. 10, December 1992, pp. 673-682.
Elsevier DOI 0401
BibRef
And: ECCV92(43-57).
Springer DOI 9205
BibRef

Herlin, I.L., and Giraudon, G.,
Performing Segmentation of Ultrasound Images Using Temporal Information,
CVPR93(373-378).
IEEE DOI BibRef 9300

Matsopoulos, G.K., Marshall, S.,
Use of morphological image processing techniques for the measurement of a fetal head from ultrasound images,
PR(27), No. 10, October 1994, pp. 1317-1324.
Elsevier DOI 0401
BibRef

Ashton, E.A., Parker, K.J.,
Multiple Resolution Bayesian Segmentation of Ultrasound Images,
USI(17), No. 4, October 1995, pp. 291-304. BibRef 9510

Levienaise-Obadia, B.[Barbara], Gee, A.H.[Andrew H.],
Adaptive Segmentation of Ultrasound Images,
IVC(17), No. 8, June 1999, pp. 583-588.
Elsevier DOI BibRef 9906
Earlier: BMVC97(xx-yy).
HTML Version. 0209
BibRef

Ravhon, R., Adam, D., Zelmanovitch, L.,
Validation of ultrasonic image boundary recognition in abdominal aortic aneurysm,
MedImg(20), No. 8, August 2001, pp. 751-763.
IEEE Top Reference. 0110
BibRef

Dokur, Z.[Zümray], Ölmez, T.[Tamer],
Segmentation of ultrasound images by using a hybrid neural network,
PRL(23), No. 14, December 2002, pp. 1825-1836.
Elsevier DOI 0208
BibRef

Ölmez, T.[Tamer], Dokur, Z.[Zümray],
Classification of heart sounds using an artificial neural network,
PRL(24), No. 1-3, January 2003, pp. 617-629.
Elsevier DOI 0211
BibRef

Chen, C.M.[Chung-Ming], Lu, H.H.S.[Henry Horng-Shing], Chen, Y.L.[Yao-Lin],
A discrete region competition approach incorporating weak edge enhancement for ultrasound image segmentation,
PRL(24), No. 4-5, February 2003, pp. 693-704.
Elsevier DOI 0211
BibRef

Kotropoulos, C.[Constantine], Pitas, I.[Ioannis],
Segmentation of ultrasonic images using Support Vector Machines,
PRL(24), No. 4-5, February 2003, pp. 715-727.
Elsevier DOI 0211
BibRef

Boukerroui, D.[Djamal], Baskurt, A.[Atilla], Noble, J.A.[J. Alison], Basset, O.[Olivier],
Segmentation of ultrasound images: Multiresolution 2D and 3D algorithm based on global and local statistics,
PRL(24), No. 4-5, February 2003, pp. 779-790.
Elsevier DOI 0211
BibRef

Krucker, J.F., LeCarpentier, G.L., Fowlkes, J.B., Carson, P.L.,
Rapid elastic image registration for 3-D ultrasound,
MedImg(21), No. 11, November 2002, pp. 1384-1394.
IEEE Top Reference. 0301
BibRef

Das, B., Banerjee, S.,
Inertial snake for contour detection in ultrasonography images,
VISP(151), No. 3, June 2004, pp. 235-240.
IEEE Abstract. 0409
BibRef

Yu, Y.J.[Yong-Jian], Acton, S.T.,
Edge detection in ultrasound imagery using the instantaneous coefficient of variation,
IP(13), No. 12, December 2004, pp. 1640-1655.
IEEE DOI 0412
BibRef

Noble, J.A., Boukerroui, D.,
Ultrasound Image Segmentation: A Survey,
MedImg(25), No. 8, August 2006, pp. 987-1010.
IEEE DOI 0608
Survey, Ultrasound. BibRef

Jensen, J.A., Oddershede, N.,
Estimation of Velocity Vectors in Synthetic Aperture Ultrasound Imaging,
MedImg(25), No. 12, December 2006, pp. 1637-1644.
IEEE DOI 0701
BibRef

Wu, H.M.[Han-Ming], Lu, H.H.S.[Henry Horng-Shing],
Iterative sliced inverse regression for segmentation of ultrasound and MR images,
PR(40), No. 12, December 2007, pp. 3492-3502.
Elsevier DOI 0709
Unsupervised clustering; K-Means; Dimension reduction; Multidimensional scaling; Sliced inverse regression; Nearest mean classifier; Support vector machines BibRef

Xiao, D.[Di], Ng, W.S.[Wan Sing], Tsang, C.B.[Charles B.], Abeyratne, U.R.[Udantha Ranjith],
A region and gradient based active contour model and its application in boundary tracking on anal canal ultrasound images,
PR(40), No. 12, December 2007, pp. 3522-3539.
Elsevier DOI 0709
Active contour model; Boundary tracking; Anal ultrasound image; GMM BibRef

Stetten, G.D.[George D.], Drezek, R.[Rebekah],
Active Fourier Contour Applied To Real Time 3d Ultrasound Of The Heart,
IJIG(1), No. 4, October 2001, pp. 647-658. 0110
BibRef

Lueck, G.J., Kim, T.K., Burns, P.N., Martel, A.L.,
Hepatic Perfusion Imaging Using Factor Analysis of Contrast Enhanced Ultrasound,
MedImg(27), No. 10, October 2008, pp. 1449-1457.
IEEE DOI 0810
BibRef

Basarab, A.[Adrian], Liebgott, H.[Herve], Delachartre, P.[Philippe],
Analytic Estimation of Subsample Spatial Shift Using the Phases of Multidimensional Analytic Signals,
IP(18), No. 2, February 2009, pp. 440-447.
IEEE DOI 0901
BibRef

Basarab, A.[Adrian], Aoudi, W.[Walid], Liebgott, H.[Herve], Vray, D.[Didier], Delachartre, P.[Philippe],
Parametric Deformable Block Matching for Ultrasound Imaging,
ICIP07(II: 429-432).
IEEE DOI 0709
BibRef

Marion, A.[Adrien], Vray, D.[Didier],
Spatiotemporal filtering of sequences of ultrasound images to estimate a dense field of velocities,
PR(42), No. 11, November 2009, pp. 2989-2997.
Elsevier DOI 0907
Spatiotemporal filtering; Bank of oriented filters; Velocity estimation; Ultrasonic imaging BibRef

Aoudi, W.[Walid], Vray, D.[Didier],
Estimation of a dense velocity field based on the statistics of dynamic speckle,
IJIST(20), No. 3, September 2010, pp. 268-276.
DOI Link 1008
flow velocity from ultrasound sequences. BibRef

Goksel, O., Salcudean, S.E.,
B-Mode Ultrasound Image Simulation in Deformable 3-D Medium,
MedImg(28), No. 11, November 2009, pp. 1657-1669.
IEEE DOI 0911
BibRef

Goksel, O., Salcudean, S.E.,
Image-Based Variational Meshing,
MedImg(30), No. 1, January 2011, pp. 11-21.
IEEE DOI 1101
BibRef

Zhu, M., Salcudean, S.E.,
Real-Time Image-Based B-Mode Ultrasound Image Simulation of Needles Using Tensor-Product Interpolation,
MedImg(30), No. 7, July 2011, pp. 1391-1400.
IEEE DOI 1107
BibRef

Yu, Y., Wang, J.,
Backscatter-Contour-Attenuation Joint Estimation Model for Attenuation Compensation in Ultrasound Imagery,
IP(19), No. 10, October 2010, pp. 2725-2736.
IEEE DOI 1003
BibRef

Angelova, D.[Donka], Mihaylova, L.[Lyudmila],
Contour segmentation in 2D ultrasound medical images with particle filtering,
MVA(22), No. 3, May 2011, pp. 551-561.
WWW Link. 1104
BibRef

Keramidas, E.G.[Eystratios G.], Iakovidis, D.K.[Dimitris K.], Maroulis, D.[Dimitris],
Fuzzy Binary Patterns for Uncertainty-Aware Texture Representation,
ELCVIA(10), No. 1, 2011, pp. xx-yy.
DOI Link 1202
BibRef
Earlier: A2, A1, A3:
Fuzzy Local Binary Patterns for Ultrasound Texture Characterization,
ICIAR08(xx-yy).
Springer DOI 0806
BibRef

Wu, X., Dou, X., Wahle, A., Sonka, M.[Milan],
Region Detection by Minimizing Intraclass Variance With Geometric Constraints, Global Optimality, and Efficient Approximation,
MedImg(30), No. 3, March 2011, pp. 814-827.
IEEE DOI 1103
BibRef

Ahn, C.Y.[Chi Young], Jung, Y.M.[Yoon Mo], Kwon, O.I.[Oh In], Seo, J.K.[Jin Keun],
Fast segmentation of ultrasound images using robust Rayleigh distribution decomposition,
PR(45), No. 9, September 2012, pp. 3490-3500.
Elsevier DOI 1206
Segmentation; Ultrasound images; Rayleigh distribution; Shape constraint; Left ventricle BibRef

Yuan, J.,
Active contour driven by region-scalable fitting and local Bhattacharyya distance energies for ultrasound image segmentation,
IET-IPR(6), No. 8, 2012, pp. 1075-1083.
DOI Link 1302
BibRef

Yuan, J.J.[Jian-Jun],
Active contour driven by local divergence energies for ultrasound image segmentation,
IET-IPR(7), No. 3, 2013, pp. 252-259.
DOI Link 1307
BibRef

Machucho-Cadena, R.[Rubén], Rivera-Rovelo, J.[Jorge], Bayro-Corrochano, E.[Eduardo],
Geometric techniques for 3D tracking of ultrasound sensor, tumor segmentation in ultrasound images, and 3D reconstruction,
PR(47), No. 5, 2014, pp. 1968-1987.
Elsevier DOI 1402
Medical image processing BibRef

Hennersperger, C., Baust, M., Waelkens, P., Karamalis, A., Ahmadi, S.A., Navab, N.,
Multi-Scale Tubular Structure Detection in Ultrasound Imaging,
MedImg(34), No. 1, January 2015, pp. 13-26.
IEEE DOI 1502
Hessian matrices BibRef

Kuo, J.W., Mamou, J., Aristizabal, O., Zhao, X., Ketterling, J.A., Wang, Y.,
Nested Graph Cut for Automatic Segmentation of High-Frequency Ultrasound Images of the Mouse Embryo,
MedImg(35), No. 2, February 2016, pp. 427-441.
IEEE DOI 1602
Embryo BibRef

Liu, J.L.[Jiu-Long], Zhang, X.Q.[Xiao-Qun], Dong, B.[Bin], Shen, Z.[Zuowei], Gu, L.[Lixu],
A Wavelet Frame Method with Shape Prior for Ultrasound Video Segmentation,
SIIMS(9), No. 2, 2016, pp. 495-519.
DOI Link 1608
BibRef

Mandal, S., Deán-Ben, X.L., Razansky, D.,
Visual Quality Enhancement in Optoacoustic Tomography Using Active Contour Segmentation Priors,
MedImg(35), No. 10, October 2016, pp. 2209-2217.
IEEE DOI 1610
Active contours BibRef

Ni, D.[Dong], Ji, X.[Xing], Wu, M.[Min], Wang, W.L.[Wen-Lei], Deng, X.S.[Xiao-Shuang], Hu, Z.Y.[Zhong-Yi], Wang, T.F.[Tian-Fu], Shen, D.G.[Ding-Gang], Cheng, J.Z.[Jie-Zhi], Wang, H.F.[Hui-Fang],
Automatic cystocele severity grading in transperineal ultrasound by random forest regression,
PR(63), No. 1, 2017, pp. 551-560.
Elsevier DOI 1612
Cystocele grading BibRef

Chen, H., Wu, L., Dou, Q., Qin, J., Li, S., Cheng, J.Z., Ni, D., Heng, P.A.,
Ultrasound Standard Plane Detection Using a Composite Neural Network Framework,
Cyber(47), No. 6, June 2017, pp. 1576-1586.
IEEE DOI 1706
Biomedical imaging, Feature extraction, Fetus, Machine learning, Standards, Training data, Videos, Convolutional neural network (CNN), deep learning, knowledge transfer, recurrent neural network (RNN), standard plane, ultrasound, (US) BibRef

Pourtaherian, A., Scholten, H.J., Kusters, L., Zinger, S., Mihajlovic, N., Kolen, A.F., Zuo, F., Ng, G.C., Korsten, H.H.M., de With, P.H.N.,
Medical Instrument Detection in 3-Dimensional Ultrasound Data Volumes,
MedImg(36), No. 8, August 2017, pp. 1664-1675.
IEEE DOI 1708
BibRef
Earlier: A1, A4, A10, A9, A5, Only:
Gabor-based needle detection and tracking in three-dimensional ultrasound data volumes,
ICIP14(3602-3606)
IEEE DOI 1502
Needles, Robustness, Transducers, Ultrasonic imaging, 3D ultrasound, Gabor transformation, Medical instrument detection, interventional guidance, line filtering. BibRef

Bi, H.[Hui], Tang, H.[Hui], Yang, G.Y.[Guan-Yu], Li, B.S.[Bao-Sheng], Shu, H.Z.[Hua-Zhong], Dillenseger, J.L.[Jean-Louis],
Fast segmentation of ultrasound images by incorporating spatial information into Rayleigh mixture model,
IET-IPR(11), No. 12, Decmeber 2017, pp. 1188-1196.
DOI Link 1712
BibRef

Bi, H.[Hui], Jiang, Y.B.[Yi-Bo], Li, H.[Hui], Sha, X.[Xuan], Wang, Y.[Yi],
Active Contours Driven by Local Rayleigh Distribution Fitting Energy for Ultrasound Image Segmentation,
IEICE(E101-D), No. 7, July 2018, pp. 1933-1937.
WWW Link. 1807
BibRef

Santos, C.A.N., Mascarenhas, N.D.A.,
Geodesic Distances in Probabilistic Spaces for Patch-Based Ultrasound Image Processing,
IP(28), No. 1, January 2019, pp. 216-226.
IEEE DOI 1810
biomedical ultrasonics, Gaussian noise, image denoising, image filtering, image reconstruction, image segmentation, Fisher-Tippett noise BibRef

Diamantis, K., Anderson, T., Butler, M.B., Villagómez-Hoyos, C.A., Jensen, J.A., Sboros, V.,
Resolving Ultrasound Contrast Microbubbles Using Minimum Variance Beamforming,
MedImg(38), No. 1, January 2019, pp. 194-204.
IEEE DOI 1901
Image resolution, Imaging, Electron tubes, Ultrasonic imaging, Transducers, Array signal processing, Signal resolution, super-resolution ultrasound BibRef

Yang, X., Yu, L., Li, S., Wen, H., Luo, D., Bian, C., Qin, J., Ni, D., Heng, P.,
Towards Automated Semantic Segmentation in Prenatal Volumetric Ultrasound,
MedImg(38), No. 1, January 2019, pp. 180-193.
IEEE DOI 1901
Ultrasonic imaging, Fetus, Semantics, Image segmentation, Shape, Labeling, Prenatal examination, recurrent neural networks BibRef

Karami, E., Shehata, M.S., Smith, A.,
Adaptive Polar Active Contour for Segmentation and Tracking in Ultrasound Videos,
CirSysVideo(29), No. 4, April 2019, pp. 1209-1222.
IEEE DOI 1904
Image segmentation, Ultrasonic imaging, Shape, Active contours, Blood, Videos, Image quality, Circulating blood volume, active contours BibRef

Shao, D.G.[Dang-Guo], Xu, C.R.[Chun-Rong], Xiang, Y.[Yan], Gui, P.[Peng], Zhu, X.F.[Xiao-Fang], Zhang, C.[Chao], Yu, Z.T.[Zheng-Tao],
Ultrasound image segmentation with multilevel threshold based on differential search algorithm,
IET-IPR(13), No. 6, 10 May 2019, pp. 998-1005.
DOI Link 1906
BibRef

Liu, Z.[Zhong], Chan, S.C.[Shing-Chow], Zhang, S.[Shuai], Zhang, Z.G.[Zhi-Guo], Chen, X.[Xin],
Automatic Muscle Fiber Orientation Tracking in Ultrasound Images Using a New Adaptive Fading Bayesian Kalman Smoother,
IP(28), No. 8, August 2019, pp. 3714-3727.
IEEE DOI 1907
Bayes methods, biomedical ultrasonics, Gabor filters, Gaussian processes, Hough transforms, image enhancement, adaptive fading BibRef

Zhang, S.[Shuai], Zhang, Z.G.[Zhi-Guo], Chan, S.C., Wen, H.Y.[Hui-Ying], Chen, X.[Xin],
An automatic muscle fiber orientation tracking algorithm using Bayesian Kalman Filter for ultrasound images,
ICIP15(3510-3514)
IEEE DOI 1512
Bayesian Kalman filter BibRef

Heiles, B., Correia, M., Hingot, V., Pernot, M., Provost, J., Tanter, M., Couture, O.,
Ultrafast 3D Ultrasound Localization Microscopy Using a 32X32 Matrix Array,
MedImg(38), No. 9, September 2019, pp. 2005-2015.
IEEE DOI 1909
Ultrasonic imaging, Image resolution, Microscopy, Probes, Irrigation, Ultrasound, microbubbles ULM, 4D BibRef

Nguyen, K.L.[Khac L.], Tekitek, M.M.[Mohamed M.], Delachartre, P.[Philippe], Berthier, M.[Michel],
Multiple Relaxation Time Lattice Boltzmann Models for Multigrid Phase-Field Segmentation of Tumors in 3D Ultrasound Images,
SIIMS(12), No. 3, 2019, pp. 1324-1346.
DOI Link 1911
BibRef

Zhang, Z.M.[Zhuo-Min], Davaasuren, D.[Dolzodmaa], Wu, C.Y.[Chen-Yan], Goldstein, J.A.[Jeffery A.], Gernand, A.D.[Alison D.], Wang, J.Z.[James Z.],
Multi-region saliency-aware learning for cross-domain placenta image segmentation,
PRL(140), 2020, pp. 165-171.
Elsevier DOI 2012
Transfer learning, Placenta, Photo image analysis, Pathology BibRef

Ouahabi, A.[Abdeldjalil], Taleb-Ahmed, A.[Abdelmalik],
Retraction: Deep learning for real-time semantic segmentation: Application in ultrasound imaging,
PRL(159), 2022, pp. 222.
Elsevier DOI 2206
BibRef
And: PRL(144), 2021, pp. 27-34.
Elsevier DOI 2103
BibRef

Yang, X.[Xin], Dou, H.R.[Hao-Ran], Huang, R.B.[Ruo-Bing], Xue, W.F.[Wu-Feng], Huang, Y.H.[Yu-Hao], Qian, J.[Jikuan], Zhang, Y.J.[Yuan-Ji], Luo, H.[Huanjia], Guo, H.Z.[Hui-Zhi], Wang, T.F.[Tian-Fu], Xiong, Y.[Yi], Ni, D.[Dong],
Agent With Warm Start and Adaptive Dynamic Termination for Plane Localization in 3D Ultrasound,
MedImg(40), No. 7, July 2021, pp. 1950-1961.
IEEE DOI 2107
Location awareness, Ultrasonic imaging, Standards, dynamic termination BibRef

Chanti, D.A.[Dawood Al], Duque, V.G.[Vanessa Gonzalez], Crouzier, M.[Marion], Nordez, A.[Antoine], Lacourpaille, L.[Lilian], Mateus, D.[Diana],
IFSS-Net: Interactive Few-Shot Siamese Network for Faster Muscle Segmentation and Propagation in Volumetric Ultrasound,
MedImg(40), No. 10, October 2021, pp. 2615-2628.
IEEE DOI 2110
Muscles, Image segmentation, Ultrasonic imaging, Annotations, Task analysis, segmentation BibRef

Kim, K.B.[Kwang Baek], Song, D.H.[Doo Heon], Park, H.J.[Hyun Jun],
Cooperative pixel clustering for accurate automatic inflamed appendix extraction from ultrasound images,
IJCVR(11), No. 6, 2021, pp. 640-652.
DOI Link 2111
BibRef

Xu, J.Y.[Jing-Yuan], Xie, H.T.[Hong-Tao], Liu, C.B.[Chuan-Bin], Yang, F.[Fang], Zhang, S.C.[Si-Cheng], Chen, X.[Xun], Zhang, Y.D.[Yong-Dong],
Hip Landmark Detection With Dependency Mining in Ultrasound Image,
MedImg(40), No. 12, December 2021, pp. 3762-3774.
IEEE DOI 2112
Hip, Ultrasonic imaging, Feature extraction, Heating systems, Pediatrics, Measurement, Attenuation, dependency mining BibRef

Khan, S.[Shujaat], Huh, J.[Jaeyoung], Ye, J.C.[Jong Chul],
Switchable and Tunable Deep Beamformer Using Adaptive Instance Normalization for Medical Ultrasound,
MedImg(41), No. 2, February 2022, pp. 266-278.
IEEE DOI 2202
Codes, Switches, Ultrasonic imaging, Noise reduction, Training, Speckle, Generators, Deep beamformer, adaptive beamformer BibRef

Srivastava, S.[Somya], Vidyarthi, A.[Ankit], Jain, S.[Shikha],
A regressive encoder-decoder-based deep attention model for segmentation of fetal head in 2D-ultrasound images,
IVC(136), 2023, pp. 104725.
Elsevier DOI 2308
Ultrasound imaging, Deep learning, Fetus head segmentation, Head circumference assessment, Regression-attention model BibRef

Huang, X.P.[Xu-Ping], Wang, Q.[Qian], Chen, J.X.[Jun-Xi], Chen, L.[Lingna], Chen, Z.Y.[Zhi-Yi],
Effective hybrid attention network based on pseudo-color enhancement in ultrasound image segmentation,
IVC(137), 2023, pp. 104742.
Elsevier DOI 2309
Ultrasound image, UNet, Attention, Pseudo-color enhancement, CNNs BibRef

Chen, F.[Fang], Chen, L.[Lingyu], Kong, W.T.[Wen-Tao], Zhang, W.J.[Wei-Jing], Zheng, P.F.[Peng-Fei], Sun, L.[Liang], Zhang, D.[Daoqiang], Liao, H.[Hongen],
Deep Semi-Supervised Ultrasound Image Segmentation by Using a Shadow Aware Network With Boundary Refinement,
MedImg(42), No. 12, December 2023, pp. 3779-3793.
IEEE DOI 2312
BibRef

Zhai, J.T.[Jin-Tao], Tian, F.[Feng], Li, A.[Ang], Qian, S.[Shengyou], Wang, R.[Runmin], Zou, X.[Xiao],
A target region extraction method for ultrasound medical images based on improved PRIDNet and UCTransNet,
IJIST(34), No. 2, 2024, pp. e23035.
DOI Link Code:
WWW Link. 2402
enhancement network, segmentation network, target region extraction, ultrasound medical images BibRef

Ling, Y.T.[Ya-Ting], Wang, Y.L.[Yu-Ling], Dai, W.L.[Wen-Li], Yu, J.[Jie], Liang, P.[Ping], Kong, D.[Dexing],
MTANet: Multi-Task Attention Network for Automatic Medical Image Segmentation and Classification,
MedImg(43), No. 2, February 2024, pp. 674-685.
IEEE DOI 2402
Medical diagnostic imaging, Image segmentation, Ultrasonic imaging, Task analysis, Transformers, one-stage BibRef


Wijata, A.M.[Agata M.], Nalepa, J.[Jakub],
Machine Learning Detects a Biopsy Needle in Ultrasound Images,
ICIP23(3548-3552)
IEEE DOI 2312
BibRef

Qi, H., Collins, S., Noble, J.A.,
UPI-Net: Semantic Contour Detection in Placental Ultrasound,
VRMI19(416-424)
IEEE DOI 2004
Semantics, Image edge detection, Ultrasonic imaging, Context modeling, Convolution, Geometry, Detectors, placenta BibRef

Nahas, H.[Hassan], Ishii, T.[Takuro], Chee, A.[Adrian], Yiu, B.[Billy], Yu, A.[Alfred],
Segmentation of Aliasing Artefacts in Ultrasound Color Flow Imaging Using Convolutional Neural Networks,
ICIAR19(II:452-461).
Springer DOI 1909
BibRef

Sciortino, G.[Giuseppa], Tegolo, D.[Domenico], Valenti, C.[Cesare],
Morphological Analysis Combined with a Machine Learning Approach to Detect Utrasound Median Sagittal Sections for the Nuchal Translucency Measurement,
MCPR17(257-267).
Springer DOI 1706
BibRef

Wang, S.Y.[Shuang-Yi], Singh, D.[Davinder], Lau, D.[David], Reddy, K.[Kiran], Althoefer, K.[Kaspar], Rhode, K.[Kawal], Housden, R.J.[Richard J.],
Probe Tracking and Its Application in Automatic Acquisition Using a Trans-Esophageal Ultrasound Robot,
CARE16(14-23).
Springer DOI 1703
BibRef

Vasconcelos, F.[Francisco], Peebles, D.[Donald], Ourselin, S.[Sebastien], Stoyanov, D.[Danail],
Similarity Registration Problems for 2D/3D Ultrasound Calibration,
ECCV16(VI: 171-187).
Springer DOI 1611
BibRef

Milletari, F.[Fausto], Navab, N.[Nassir], Ahmadi, S.A.[Seyed-Ahmad],
V-Net: Fully Convolutional Neural Networks for Volumetric Medical Image Segmentation,
3DV16(565-571)
IEEE DOI 1701
biomedical MRI BibRef

Kroll, C.[Christine], Milletari, F.[Fausto], Navab, N.[Nassir], Ahmadi, S.A.[Seyed-Ahmad],
Coupling Convolutional Neural Networks and Hough Voting for Robust Segmentation of Ultrasound Volumes,
GCPR16(439-450).
Springer DOI 1611
BibRef

Wang, W.N.[Wei-Ning], Li, J.C.[Jia-Chang], Jiang, Y.Z.[Yi-Zi], Xing, Y.[Yi], Xu, X.M.[Xiang-Min],
An automatic energy-based region growing method for ultrasound image segmentation,
ICIP15(1553-1557)
IEEE DOI 1512
energy function BibRef

González, J.G.[Julián Gil], Álvarez, M.A.[Mauricio A.], Orozco, Á.A.[Álvaro A.],
Peripheral Nerves Segmentation in Ultrasound Images Using Non-linear Wavelets and Gaussian Processes,
IbPRIA15(603-611).
Springer DOI 1506
BibRef

Wang, L.[Liang], Girard, P.R., Bernard, A., Liu, Z.J.[Zheng-Jun], Clarysse, P., Delachartre, P.,
3-D biquaternionic analytic signal and application to envelope detection in 3-D ultrasound imaging,
IC3D12(1-8)
IEEE DOI 1503
Fourier transforms BibRef

Maraci, M.A.[Mohammad Ali], Napolitano, R.[Raffaele], Papageorghiou, A.[Aris], Noble, J.A.[J. Allison],
Object Classification in an Ultrasound Video Using LP-SIFT Features,
MCV14(71-81).
Springer DOI 1501
BibRef
And:
Searching for Structures of Interest in an Ultrasound Video Sequence,
MLMI14(133-140).
Springer DOI 1410
BibRef

Kulbacki, M.[Marek], Segen, J.[Jakub], Habela, P.[Piotr], Janiak, M.[Mateusz], Kniec, W.[Wojciech], Fojcik, M.[Marcin], Mielnik, P.[Pawel], Wojciechowski, K.[Konrad],
Collaborative Tool for Annotation of Synovitis and Assessment in Ultrasound Images,
ICCVG14(364-373).
Springer DOI 1410
BibRef

Sagar, J.V.R., Bhagvati, C.,
Stochastic resonance aided robust techniques for segmentation of medical ultrasound images,
NCVPRIPG13(1-5)
IEEE DOI 1408
biomedical ultrasonics BibRef

Xu, R.[Rong], Ohya, J.[Jun], Zhang, B.[Bo], Fujie, M.G., Sato, Y.,
Automatic fetal face detection by locating fetal facial features from 3D ultrasound images for navigating fetoscopic tracheal occlusion surgeries,
FG13(1-6)
IEEE DOI 1309
Gaussian processes BibRef

Faucheux, C.[Cyrille], Olivier, J.[Julien], Bone, R.[Romuald], Makris, P.[Pascal],
Texture-based graph regularization process for 2D and 3D ultrasound image segmentation,
ICIP12(2333-2336).
IEEE DOI 1302

See also Graph-Based Regularization of Binary Classifiers for Texture Segmentation. BibRef

Boukerroui, D.[Djamal],
Optimal spatial scale for local region-based active contours,
ICIP14(4393-4397)
IEEE DOI 1502
BibRef
Earlier:
A local Rayleigh model with spatial scale selection for ultrasound image segmentation,
BMVC12(84).
DOI Link 1301
Active contours BibRef

Ciecholewski, M.[Marcin],
Gallbladder Segmentation from 2-D Ultrasound Images Using Active Contour Models and Gradient Vector Flow,
MIRAGE11(86-97).
Springer DOI 1110
BibRef

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ICPR10(4166-4169).
IEEE DOI 1008
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A Novel Method for Enhanced Needle Localization Using Ultrasound-Guidance,
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CIIP09(33-40).
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CVPR08(1-8).
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Saad, A.A.[Ashraf A.], Shapiro, L.G.[Linda G.],
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Arbelaez, P.[Pablo],
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CRV06(53-53).
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Slabaugh, G.G.[Gregory G.], Unal, G.[Gozde], Fang, T.[Tong], Wels, M.[Michael],
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CVPR06(I: 45-53).
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Kissi, A., Cormier, S., Pourcelot, L., Tranquart, F.,
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ICIP05(I: 1153-1156).
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ICIP03(III: 417-420).
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Jardim, S.V.B.,
Automatic contour estimation in fetal ultrasound images,
ICIP03(II: 1065-1068).
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Segmentation and modeling of approximately rotationally symmetric objects in 3D ultrasound,
3DIM03(124-131).
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WACV02(90-94).
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A Hierarchical Method for 3D Rigid Motion Estimation,
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IEEE DOI 9610
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Cohen, F.S., Georgiou, G.,
Detecting and estimating structure regularity of soft tissue organs from ultrasound images,
ICIP95(II: 488-491).
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Chapter on Medical Applications, CAT, MRI, Ultrasound, Heart Models, Brain Models continues in
Elastography Analysis .


Last update:Mar 16, 2024 at 20:36:19