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1103
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Acoustic radiation force
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Heyde, B.,
Gao, H.,
Alessandrini, M.,
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Piella, G.,
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Biomechanical modeling
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Acoustic beams
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Yaqub, M.,
Papageorghiou, A.T.,
Rahmatullah, B.,
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Biomedical imaging
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Ingle, A.,
Varghese, T.,
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Image reconstruction
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Mofid, Y.,
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Axial Ultrasound B-Scans of the Entire Eye With a 20-MHz Linear
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Fermat's Principle,
MedImg(33), No. 11, November 2014, pp. 2149-2166.
IEEE DOI
1411
biomedical transducers
BibRef
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Browning, R.J.,
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Dunsby, C.,
Eckersley, R.J.,
In Vivo Acoustic Super-Resolution and Super-Resolved Velocity Mapping
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IEEE DOI
1502
Ear
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Modelling the Effect of Focusing Detectors in Photoacoustic Sectional
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DOI Link
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BibRef
Matrone, G.,
Savoia, A.S.,
Caliano, G.,
Magenes, G.,
The Delay Multiply and Sum Beamforming Algorithm in Ultrasound B-Mode
Medical Imaging,
MedImg(34), No. 4, April 2015, pp. 940-949.
IEEE DOI
1504
Apertures
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An Optimized Ultrasonic Sensors System,
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Orthogonal Golay Codes With Local Beam Pattern Correction in
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1506
Golay codes
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Springer DOI
1505
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Thomas, G.,
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IET-IPR(9), No. 8, 2015, pp. 672-679.
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1506
Wiener filters
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Sayasneh, A.[Ahmed],
Bourne, T.[Tom],
Jassim, S.[Sabah],
Automatic Identification of Miscarriage Cases Supported by Decision
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1509
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Biswas, R.[Rakesh],
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An FPGA-based architecture of DSC-SRI units specially for motion blind
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Springer DOI
1509
BibRef
Stowell, D.,
Giannoulis, D.,
Benetos, E.,
Lagrange, M.,
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Detection and Classification of Acoustic Scenes and Events,
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1511
acoustic signal processing
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Le, Y.[Yi],
Xu, X.Z.[Xian-Ze],
Zha, L.[Li],
Zhao, W.C.[Wen-Cheng],
Zhu, Y.Y.[Yan-Yan],
Tumour localisation in ultrasound-guided high-intensity focused
ultrasound ablation using improved gradient and direction vector flow,
IET-IPR(9), No. 10, 2015, pp. 857-865.
DOI Link
1511
biomedical ultrasonics
BibRef
Lorintiu, O.,
Liebgott, H.,
Alessandrini, M.,
Bernard, O.,
Friboulet, D.,
Compressed Sensing Reconstruction of 3D Ultrasound Data Using
Dictionary Learning and Line-Wise Subsampling,
MedImg(34), No. 12, December 2015, pp. 2467-2477.
IEEE DOI
1601
BibRef
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Compressed sensing reconstruction of 3D ultrasound data using
dictionary learning,
ICIP14(1317-1321)
IEEE DOI
1502
biological organs
Biomedical imaging
BibRef
Lorintiu, O.,
Liebgott, H.,
Friboulet, D.,
Compressed Sensing Doppler Ultrasound Reconstruction Using Block
Sparse Bayesian Learning,
MedImg(35), No. 4, April 2016, pp. 978-987.
IEEE DOI
1604
Bayes methods
BibRef
Nguyen, N.Q.,
Prager, R.W.,
High-Resolution Ultrasound Imaging With Unified Pixel-Based
Beamforming,
MedImg(35), No. 1, January 2016, pp. 98-108.
IEEE DOI
1601
Apertures
BibRef
Nguyen, N.Q.,
Prager, R.W.,
Minimum Variance Approaches to Ultrasound Pixel-Based Beamforming,
MedImg(36), No. 2, February 2017, pp. 374-384.
IEEE DOI
1702
Apertures
BibRef
Banerjee, J.,
Klink, C.,
Niessen, W.J.,
Moelker, A.,
van Walsum, T.,
4D Ultrasound Tracking of Liver and its Verification for TIPS
Guidance,
MedImg(35), No. 1, January 2016, pp. 52-62.
IEEE DOI
1601
Liver
BibRef
Mulleti, S.[Satish],
Seelamantula, C.S.[Chandra Sekhar],
Ellipse Fitting Using the Finite Rate of Innovation Sampling
Principle,
IP(25), No. 3, March 2016, pp. 1451-1464.
IEEE DOI
1602
Data models
BibRef
Mulleti, S.[Satish],
Nagesh, S.[Sudarshan],
Langoju, R.[Rajesh],
Patil, A.[Abhijit],
Seelamantula, C.S.[Chandra Sekhar],
Ultrasound image reconstruction using the finite-rate-of-innovation
principle,
ICIP14(1728-1732)
IEEE DOI
1502
Delays
BibRef
Destrempes, F.,
Franceschini, E.,
Yu, F.T.H.,
Cloutier, G.,
Unifying Concepts of Statistical and Spectral Quantitative Ultrasound
Techniques,
MedImg(35), No. 2, February 2016, pp. 488-500.
IEEE DOI
1602
Attenuation
BibRef
Stanziola, A.,
Toulemonde, M.,
Yildiz, Y.O.,
Eckersley, R.J.,
Tang, M.X.,
Ultrasound Imaging with Microbubbles,
SPMag(33), No. 2, March 2016, pp. 111-117.
IEEE DOI
1603
Life Sciences.
Blood
BibRef
Bottenus, N.,
Long, W.,
Zhang, H.K.,
Jakovljevic, M.,
Bradway, D.P.,
Boctor, E.M.,
Trahey, G.E.,
Feasibility of Swept Synthetic Aperture Ultrasound Imaging,
MedImg(35), No. 7, July 2016, pp. 1676-1685.
IEEE DOI
1608
biological tissues
BibRef
Yang, X.,
Zhang, Y.,
Zhao, K.,
Zhao, Y.,
Liu, Y.,
Gong, H.,
Luo, Q.,
Zhu, D.,
Skull Optical Clearing Solution for Enhancing Ultrasonic and
Photoacoustic Imaging,
MedImg(35), No. 8, August 2016, pp. 1903-1906.
IEEE DOI
1608
Acoustics
BibRef
Kang, H.J.,
Bell, M.A.L.,
Guo, X.,
Boctor, E.M.,
Spatial Angular Compounding of Photoacoustic Images,
MedImg(35), No. 8, August 2016, pp. 1845-1855.
IEEE DOI
1608
Biomedical optical imaging
BibRef
Druskin, V.[Vladimir],
Mamonov, A.V.[Alexander V.],
Thaler, A.E.[Andrew E.],
Zaslavsky, M.[Mikhail],
Direct, Nonlinear Inversion Algorithm for Hyperbolic Problems via
Projection-Based Model Reduction,
SIIMS(9), No. 2, 2016, pp. 684-747.
DOI Link
1608
Acoustic waves.
BibRef
Druskin, V.[Vladimir],
Mamonov, A.V.[Alexander V.],
Zaslavsky, M.[Mikhail],
A Nonlinear Method for Imaging with Acoustic Waves Via Reduced Order
Model Backprojection,
SIIMS(11), No. 1, 2018, pp. 164-196.
DOI Link
1804
BibRef
Dimoulas, C.A.,
Audiovisual Spatial-Audio Analysis by Means of Sound Localization and
Imaging: A Multimedia Healthcare Framework in Abdominal Sound Mapping,
MultMed(18), No. 10, October 2016, pp. 1969-1976.
IEEE DOI
1610
acoustic signal processing
BibRef
Matrone, G.,
Ramalli, A.,
Savoia, A.S.,
Tortoli, P.,
Magenes, G.,
High Frame-Rate, High Resolution Ultrasound Imaging With Multi-Line
Transmission and Filtered-Delay Multiply And Sum Beamforming,
MedImg(36), No. 2, February 2017, pp. 478-486.
IEEE DOI
1702
Filtered-delay multiply and sum beamforming
BibRef
Arvanitis, C.D.,
Crake, C.,
McDannold, N.,
Clement, G.T.,
Passive Acoustic Mapping with the Angular Spectrum Method,
MedImg(36), No. 4, April 2017, pp. 983-993.
IEEE DOI
1704
Acoustics
BibRef
Liu, J.[Jing],
He, Q.[Qiong],
Luo, J.W.[Jian-Wen],
A Compressed Sensing Strategy for Synthetic Transmit Aperture
Ultrasound Imaging,
MedImg(36), No. 4, April 2017, pp. 878-891.
IEEE DOI
1704
Apertures
BibRef
Chen, Y.R.[Yin-Ran],
Liu, J.[Jing],
Luo, X.B.[Xiong-Biao],
Luo, J.W.[Jian-Wen],
ApodNet: Learning for High Frame Rate Synthetic Transmit Aperture
Ultrasound Imaging,
MedImg(40), No. 11, November 2021, pp. 3190-3204.
IEEE DOI
2111
Imaging, Array signal processing, Ultrasonic imaging, Focusing,
Spatial resolution, Image resolution, Training, Contrast,
ultrasound imaging
BibRef
Gong, P.,
Song, P.,
Chen, S.,
Delay-Encoded Harmonic Imaging (DE-HI) in Multiplane-Wave Compounding,
MedImg(36), No. 4, April 2017, pp. 952-959.
IEEE DOI
1704
Delays
BibRef
Wu, L.,
Cheng, J.Z.,
Li, S.,
Lei, B.,
Wang, T.,
Ni, D.,
FUIQA: Fetal Ultrasound Image Quality Assessment With Deep
Convolutional Networks,
Cyber(47), No. 5, May 2017, pp. 1336-1349.
IEEE DOI
1704
Biomedical imaging
BibRef
Jensen, J.,
Villagomez Hoyos, C.A.,
Holbek, S.,
Hansen, K.L.,
Velocity Estimation in Medical Ultrasound [Life Sciences],
SPMag(34), No. 3, May 2017, pp. 94-100.
IEEE DOI
1705
Biomedical image processing, Image reconstruction, Oscillators,
Transducers, Ultrasonic imaging,
Ultrasonic variables measurement, Velocity, measurement
BibRef
Gong, P.,
Song, P.,
Chen, S.,
Ultrafast Synthetic Transmit Aperture Imaging Using Hadamard-Encoded
Virtual Sources With Overlapping Sub-Apertures,
MedImg(36), No. 6, June 2017, pp. 1372-1381.
IEEE DOI
1706
Apertures, Encoding, Image resolution, Imaging, Signal resolution,
Signal to noise ratio, Transducers, Ultrafast ultrasound imaging,
coded transmission, synthetic, transmit, aperture, imaging
BibRef
Ding, L.,
Deán-Ben, X.L.,
Razansky, D.,
Efficient 3-D Model-Based Reconstruction Scheme for Arbitrary
Optoacoustic Acquisition Geometries,
MedImg(36), No. 9, September 2017, pp. 1858-1867.
IEEE DOI
1709
ultrasonics, photoacoustic effect, arbitrary shape.
BibRef
Hyun, D.,
Abou-Elkacem, L.,
Perez, V.A.,
Chowdhury, S.M.,
Willmann, J.K.,
Dahl, J.J.,
Improved Sensitivity in Ultrasound Molecular Imaging With
Coherence-Based Beamforming,
MedImg(37), No. 1, January 2018, pp. 241-250.
IEEE DOI
1801
biomedical transducers, biomedical ultrasonics, biomimetics,
cancer, cellular biophysics, phantoms, thermal noise, tumours,
molecular and cellular imaging
BibRef
Hyun, D.,
Abou-Elkacem, L.,
Bam, R.,
Brickson, L.L.,
Herickhoff, C.D.,
Dahl, J.J.,
Nondestructive Detection of Targeted Microbubbles Using Dual-Mode
Data and Deep Learning for Real-Time Ultrasound Molecular Imaging,
MedImg(39), No. 10, October 2020, pp. 3079-3088.
IEEE DOI
2010
Imaging, Ultrasonic imaging, Neural networks, Mice, Machine learning,
Harmonic analysis, Tumors,
ultrasound
BibRef
Wang, J.,
Barback, C.V.,
Ta, C.N.,
Weeks, J.,
Gude, N.,
Mattrey, R.F.,
Blair, S.L.,
Trogler, W.C.,
Lee, H.,
Kummel, A.C.,
Extended Lifetime In Vivo Pulse Stimulated Ultrasound Imaging,
MedImg(37), No. 1, January 2018, pp. 222-229.
IEEE DOI
1801
biomedical ultrasonics, nanomedicine, nanoparticles,
silicon compounds, tumours, LnCAP prostate tumor models, SiO2,
visualization
BibRef
Bader, K.B.,
Haworth, K.J.,
Maxwell, A.D.,
Holland, C.K.,
Post Hoc Analysis of Passive Cavitation Imaging for Classification of
Histotripsy-Induced Liquefaction in Vitro,
MedImg(37), No. 1, January 2018, pp. 106-115.
IEEE DOI
1801
acoustic emission, array signal processing,
biomedical ultrasonics, bubbles, cavitation, image classification,
passive cavitation imaging
BibRef
Hata, Y.,
Takashima, Y.,
Tsukuda, K.,
Kikuchi, S.,
Ishikawa, T.,
Ultrasonic-Frequency-Based Visualization of Columnar Soft Matter
Beyond Wavelength Limitations,
SMCS(48), No. 2, February 2018, pp. 224-231.
IEEE DOI
1801
Acoustics, Data visualization, Fourier transforms,
Frequency measurement, Probes, Standards, Wavelength measurement,
visualization
BibRef
Zhang, Y.,
Guo, Y.,
Lee, W.N.,
Ultrafast Ultrasound Imaging Using Combined Transmissions With
Cross-Coherence-Based Reconstruction,
MedImg(37), No. 2, February 2018, pp. 337-348.
IEEE DOI
1802
Apertures, Array signal processing, Image quality,
Image reconstruction, Imaging, Spatial resolution,
ultrasound
BibRef
Zhang, Y.,
Guo, Y.,
Lee, W.N.,
Ultrafast Ultrasound Imaging With Cascaded Dual-Polarity Waves,
MedImg(37), No. 4, April 2018, pp. 906-917.
IEEE DOI
1804
Biomedical imaging, Decoding, Encoding, Image quality,
Signal to noise ratio, Ultrasonic imaging, Coding scheme,
ultrasound
BibRef
Trots, I.,
Nowicki, A.,
Postema, M.,
Ultrasound Image Improvement by Code Bit Elongation,
SPLetters(25), No. 3, March 2018, pp. 437-441.
IEEE DOI
1802
Bandwidth, Correlation, Image coding, Image resolution,
Matched filters, Transducers, Ultrasonic imaging, Coded excitation,
ultrasound imaging
BibRef
Mattausch, O.,
Goksel, O.,
Image-Based Reconstruction of Tissue Scatterers Using Beam Steering
for Ultrasound Simulation,
MedImg(37), No. 3, March 2018, pp. 767-780.
IEEE DOI
1804
biological tissues, biomedical ultrasonics, image reconstruction,
inverse problems, medical image processing, phantoms,
virtual reality
BibRef
Huang, Q.,
Zeng, Z.,
Li, X.,
2.5-D Extended Field-of-View Ultrasound,
MedImg(37), No. 4, April 2018, pp. 851-859.
IEEE DOI
1804
Calibration, Data acquisition, Image reconstruction, Probes,
Real-time systems.
ultrasound
BibRef
He, H.,
Buehler, A.,
Bozhko, D.,
Jian, X.,
Cui, Y.,
Ntziachristos, V.,
Importance of Ultrawide Bandwidth for Optoacoustic Esophagus Imaging,
MedImg(37), No. 5, May 2018, pp. 1162-1167.
IEEE DOI
1805
Bandwidth, Biomedical imaging, Detectors, Endoscopes, Esophagus,
Transducers, Photoacoustic imaging, esophagus imaging,
ultrawide bandwidth
BibRef
Allman, D.,
Reiter, A.,
Bell, M.A.L.,
Photoacoustic Source Detection and Reflection Artifact Removal
Enabled by Deep Learning,
MedImg(37), No. 6, June 2018, pp. 1464-1477.
IEEE DOI
1806
Acoustics, Array signal processing, Neural networks,
Photoacoustic imaging, Signal to noise ratio, Testing, Training,
reflection artifacts
BibRef
Ma, F.Q.A.[Fu-Qi-Ang],
Liu, F.J.[Fang-Jie],
Zhang, X.T.[Xiao-Tong],
Wang, P.[Peng],
Bai, H.Y.[Hong-Ying],
Guo, H.[Hang],
An ultrasonic positioning algorithm based on maximum correntropy
criterion extended Kalman filter weighted centroid,
SIViP(12), No. 6, September 2018, pp. 1207-1215.
Springer DOI
1808
BibRef
Luchies, A.C.,
Byram, B.C.,
Deep Neural Networks for Ultrasound Beamforming,
MedImg(37), No. 9, September 2018, pp. 2010-2021.
IEEE DOI
1809
Ultrasonic imaging, Frequency-domain analysis, Training, Neurons,
Neural networks, Array signal processing, Scattering,
off-axis scattering
BibRef
Otesteanu, C.F.,
Sanabria, S.J.,
Goksel, O.,
Robust Reconstruction of Elasticity Using Ultrasound Imaging and
Multi-Frequency Excitations,
MedImg(37), No. 11, November 2018, pp. 2502-2513.
IEEE DOI
1811
Elasticity, Image reconstruction, Finite element analysis,
Robustness, Strain, Ultrasonic imaging, Imaging,
optimization problems
BibRef
Lyka, E.,
Coviello, C.M.,
Paverd, C.,
Gray, M.D.,
Coussios, C.C.,
Passive Acoustic Mapping Using Data-Adaptive Beamforming Based on
Higher Order Statistics,
MedImg(37), No. 12, December 2018, pp. 2582-2592.
IEEE DOI
1812
Ultrasonic imaging, Array signal processing, Signal resolution,
Calibration, Acoustics, Monitoring, Sensor arrays,
ultrasound
BibRef
Sejdic, E.,
Malandraki, G.A.,
Coyle, J.L.,
Computational Deglutition: Using Signal- and Image-Processing Methods
to Understand Swallowing and Associated Disorders,
SPMag(36), No. 1, January 2019, pp. 138-146.
IEEE DOI
1901
[Life Sciences]
Esophagus, Muscles, Pharynx, Liquids, Testing, Instruments, Medical services
BibRef
Yoon, Y.H.,
Khan, S.,
Huh, J.,
Ye, J.C.,
Efficient B-Mode Ultrasound Image Reconstruction From Sub-Sampled RF
Data Using Deep Learning,
MedImg(38), No. 2, February 2019, pp. 325-336.
IEEE DOI
1902
Radio frequency, Imaging, Neural networks, Ultrasonic imaging,
Machine learning, Image reconstruction, Redundancy,
Hankel matrix
BibRef
Vaidya, A.S.[Avinash S.],
Srinivas, M.B.,
A frequency domain beamspace adaptive receive beamformer for ultrasound
imaging systems: phantom simulation results,
SIViP(13), No. 3, April 2019, pp. 591-599.
WWW Link.
1904
BibRef
Njiki, M.[Mickael],
Elouardi, A.[Abdelhafid],
Bouaziz, S.[Samir],
Casula, O.[Olivier],
Roy, O.[Olivier],
A multi-FPGA architecture-based real-time TFM ultrasound imaging,
RealTimeIP(16), No. 2, April 2019, pp. 505-521.
Springer DOI
1904
BibRef
Murphy, E.K.,
Skinner, J.,
Martucci, M.,
Rutkove, S.B.,
Halter, R.J.,
Toward Electrical Impedance Tomography Coupled Ultrasound Imaging for
Assessing Muscle Health,
MedImg(38), No. 6, June 2019, pp. 1409-1419.
IEEE DOI
1906
Electrodes, Tomography, Conductivity, Impedance, Muscles,
Image reconstruction, Impedance measurement, Data fusion,
inverse problem
BibRef
Morgan, M.R.,
Trahey, G.E.,
Walker, W.F.,
Multi-covariate Imaging of Sub-resolution Targets,
MedImg(38), No. 7, July 2019, pp. 1690-1700.
IEEE DOI
1907
Imaging, Apertures, Covariance matrices, Ultrasonic imaging,
Scattering, Spatial coherence, Mathematical model, Ultrasound,
quantification and estimation
BibRef
Qu, F.L.[Feng-Long],
Yang, J.Q.[Jia-Qing],
Zhang, H.W.[Hai-Wen],
Shape Reconstruction in Inverse Scattering by an Inhomogeneous Cavity
with Internal Measurements,
SIIMS(12), No. 2, 2019, pp. 788-808.
DOI Link
1907
Acoustic measurements.
BibRef
Ji, X.,
Liu, X.,
Zhang, B.,
Inverse Acoustic Scattering with Phaseless Far Field Data:
Uniqueness, Phase Retrieval, and Direct Sampling Methods,
SIIMS(12), No. 2, 2019, pp. 1163-1189.
DOI Link
1907
BibRef
Song, W.[Wuli],
Li, L.[Linna],
Ren, Z.[Zihui],
Ultrasonic image processing based on fusion super-resolution
reconstruction of familiar models,
JVCIR(64), 2019, pp. 102633.
Elsevier DOI
1911
Ultrasonic image, Super-resolution, Coefficient representation,
Multi feature fusion
BibRef
Alberti, G.S.[Giovanni S.],
Ammari, H.[Habib],
Romero, F.[Francisco],
Wintz, T.[Timothée],
Dynamic Spike Superresolution and Applications to Ultrafast
Ultrasound Imaging,
SIIMS(12), No. 3, 2019, pp. 1501-1527.
DOI Link
1911
BibRef
Meng, Q.,
Sinclair, M.,
Zimmer, V.,
Hou, B.,
Rajchl, M.,
Toussaint, N.,
Oktay, O.,
Schlemper, J.,
Gomez, A.,
Housden, J.,
Matthew, J.,
Rueckert, D.,
Schnabel, J.A.,
Kainz, B.,
Weakly Supervised Estimation of Shadow Confidence Maps in Fetal
Ultrasound Imaging,
MedImg(38), No. 12, December 2019, pp. 2755-2767.
IEEE DOI
1912
Acoustics, Image segmentation, Estimation, Image analysis,
Task analysis, Biomedical imaging, Ultrasound imaging,
confidence estimation
BibRef
van Sloun, R.J.G.,
Cohen, R.,
Eldar, Y.C.,
Deep Learning in Ultrasound Imaging,
PIEEE(108), No. 1, January 2020, pp. 11-29.
IEEE DOI
2001
Imaging, Ultrasonic imaging, Doppler effect, Deep learning,
Array signal processing, Image resolution, Clutter approximation,
ultrasound imaging
BibRef
Tan, Q.,
Wang, C.,
Liu, J.,
Huang, J.,
Li, Y.,
Xiao, Y.,
Xia, G.,
Ma, T.,
Zheng, H.,
Ultrafast Endoscopic Ultrasonography With Circular Array,
MedImg(39), No. 6, June 2020, pp. 2110-2120.
IEEE DOI
2006
Circular array, endoscopic ultrasonography, ultrafast ultrasound imaging
BibRef
Huang, O.,
Long, W.,
Bottenus, N.,
Lerendegui, M.,
Trahey, G.E.,
Farsiu, S.,
Palmeri, M.L.,
MimickNet, Mimicking Clinical Image Post- Processing Under Black-Box
Constraints,
MedImg(39), No. 6, June 2020, pp. 2277-2286.
IEEE DOI
2006
Clinical ultrasound, CycleGAN, image enhancement, MimickNet,
ultrasound post-processing
BibRef
Bueno, P.R.[Paulo R.],
Zibetti, M.V.W.[Marcelo V. W.],
Maia, J.M.[Joaquim M.],
Real-time ultrasound image reconstruction as an inverse problem on a
GPU,
RealTimeIP(17), No. 3, June 2020, pp. 543-554.
Springer DOI
2006
BibRef
Zhang, Y.,
He, X.,
Tian, Z.,
Jeong, J.J.,
Lei, Y.,
Wang, T.,
Zeng, Q.,
Jani, A.B.,
Curran, W.J.,
Patel, P.,
Liu, T.,
Yang, X.,
Multi-Needle Detection in 3D Ultrasound Images Using Unsupervised
Order-Graph Regularized Sparse Dictionary Learning,
MedImg(39), No. 7, July 2020, pp. 2302-2315.
IEEE DOI
2007
Needles, Machine learning,
Dictionaries, Brachytherapy, Solid modeling, Mathematical model,
ultrasound guided brachytherapy
BibRef
Bendjador, H.,
Deffieux, T.,
Tanter, M.,
The SVD Beamformer: Physical Principles and Application to Ultrafast
Adaptive Ultrasound,
MedImg(39), No. 10, October 2020, pp. 3100-3112.
IEEE DOI
2010
Ultrasonic imaging, Imaging, Acoustics, Spatial coherence,
Array signal processing, Speckle, Scattering, Adaptive Beamforming,
Aberration Correction
BibRef
Liu, X.,
Zhou, T.,
Lu, M.,
Yang, Y.,
He, Q.,
Luo, J.,
Deep Learning for Ultrasound Localization Microscopy,
MedImg(39), No. 10, October 2020, pp. 3064-3078.
IEEE DOI
2010
Spatial resolution, Convolution, Ultrasonic imaging, Microscopy,
In vivo, Convolutional neural networks, deep learning,
ultrasound localization microscopy
BibRef
Stortz, G.,
Cahill, L.S.,
Chandran, A.R.,
Baschat, A.,
Sled, J.G.,
Macgowan, C.K.,
Quantification of Wave Reflection in the Human Umbilical Artery From
Asynchronous Doppler Ultrasound Measurements,
MedImg(39), No. 11, November 2020, pp. 3749-3757.
IEEE DOI
2011
Reflection, Arteries, Ultrasonic imaging, Doppler effect,
Ultrasonic variables measurement, Pathology, Current measurement,
placental pathology
BibRef
Afrakhteh, S.[Sajjad],
Behnam, H.[Hamid],
A fast and high frame rate adaptive beamforming using DCT-based
RF-line recovery in line-by-line ultrasound imaging,
IJIST(30), No. 4, 2020, pp. 1080-1094.
DOI Link
2011
beamforming, delay and sum, discrete cosine transform,
minimum variance, reconstruction
BibRef
Luijten, B.,
Cohen, R.,
de Bruijn, F.J.,
Schmeitz, H.A.W.,
Mischi, M.,
Eldar, Y.C.,
van Sloun, R.J.G.,
Adaptive Ultrasound Beamforming Using Deep Learning,
MedImg(39), No. 12, December 2020, pp. 3967-3978.
IEEE DOI
2012
Array signal processing, Imaging, Ultrasonic imaging,
Deep learning, Image reconstruction, Image quality, Training
BibRef
Huijben, I.A.M.,
Veeling, B.S.,
Janse, K.,
Mischi, M.,
van Sloun, R.J.G.,
Learning Sub-Sampling and Signal Recovery With Applications in
Ultrasound Imaging,
MedImg(39), No. 12, December 2020, pp. 3955-3966.
IEEE DOI
2012
Task analysis, Image reconstruction, Deep learning,
Ultrasonic imaging, Compressed sensing, Biomedical imaging,
ultrasound imaging
BibRef
Youn, J.,
Ommen, M.L.,
Stuart, M.B.,
Thomsen, E.V.,
Larsen, N.B.,
Jensen, J.A.,
Detection and Localization of Ultrasound Scatterers Using
Convolutional Neural Networks,
MedImg(39), No. 12, December 2020, pp. 3855-3867.
IEEE DOI
2012
Radio frequency, Ultrasonic imaging, Array signal processing,
Phantoms, Transducers, High-density scatterers,
ultrasound localization microscopy
BibRef
van Sloun, R.J.G.,
Solomon, O.,
Bruce, M.,
Khaing, Z.Z.,
Wijkstra, H.,
Eldar, Y.C.,
Mischi, M.,
Super-Resolution Ultrasound Localization Microscopy Through Deep
Learning,
MedImg(40), No. 3, March 2021, pp. 829-839.
IEEE DOI
2103
Location awareness, Deep learning, Ultrasonic imaging, Microscopy,
Superresolution, Real-time systems, Standards, Ultrasound,
neural network
BibRef
Perdios, D.,
Vonlanthen, M.,
Martinez, F.,
Arditi, M.,
Thiran, J.P.,
CNN-Based Ultrasound Image Reconstruction for Ultrafast Displacement
Tracking,
MedImg(40), No. 3, March 2021, pp. 1078-1089.
IEEE DOI
2103
Imaging, Image reconstruction, Estimation, Transducers, Speckle,
Diffraction, Ultrasonic imaging, Biomedical imaging, deep learning,
ultrafast ultrasound imaging
BibRef
Milecki, L.[Léo],
Porée, J.[Jonathan],
Belgharbi, H.[Hatim],
Bourquin, C.[Chloé],
Damseh, R.[Rafat],
Delafontaine-Martel, P.[Patrick],
Lesage, F.[Frédéric],
Gasse, M.[Maxime],
Provost, J.[Jean],
A Deep Learning Framework for Spatiotemporal Ultrasound Localization
Microscopy,
MedImg(40), No. 5, May 2021, pp. 1428-1437.
IEEE DOI
2105
Ultrasonic imaging, Location awareness, Microscopy,
In vivo, Ultrasound Localization Microscopy (ULM)
BibRef
Avola, D.[Danilo],
Cinque, L.[Luigi],
Fagioli, A.[Alessio],
Foresti, G.[Gianluca],
Mecca, A.[Alessio],
Ultrasound Medical Imaging Techniques: A Survey,
Surveys(54), No. 3, April 2021, pp. xx-yy.
DOI Link
2106
Survey, Ultrasound. computer aided detection, echocardiography, trus, US, abus,
Medical image, ultrasound, segmentation, surgeon aid,
classification
BibRef
Jeon, S.[Seungwan],
Choi, W.[Wonseok],
Park, B.[Byullee],
Kim, C.[Chulhong],
A Deep Learning-Based Model That Reduces Speed of Sound Aberrations
for Improved In Vivo Photoacoustic Imaging,
IP(30), 2021, pp. 8773-8784.
IEEE DOI
2111
Imaging, Image reconstruction, Radio frequency,
Array signal processing, In vivo, Training, Deep learning,
photoacoustic imaging
BibRef
Huang, X.Y.[Xin-Yue],
Bell, M.A.L.[Muyinatu A. Lediju],
Ding, K.[Kai],
Deep Learning for Ultrasound Beamforming in Flexible Array Transducer,
MedImg(40), No. 11, November 2021, pp. 3178-3189.
IEEE DOI
2111
Transducers, Radio frequency, Ultrasonic imaging, Geometry, Arrays,
Imaging, Image reconstruction, Ultrasound imaging, beamforming,
flexible array transducer
BibRef
Hingot, V.,
Chavignon, A.,
Heiles, B.,
Couture, O.,
Measuring Image Resolution in Ultrasound Localization Microscopy,
MedImg(40), No. 12, December 2021, pp. 3812-3819.
IEEE DOI
2112
Location awareness, Spatial resolution, Microscopy, Rats,
Ultrasonic imaging, Image reconstruction, Correlation,
Nyquist criterion
BibRef
Tierney, J.[Jaime],
Luchies, A.[Adam],
Khan, C.[Christopher],
Baker, J.[Jennifer],
Brown, D.[Daniel],
Byram, B.[Brett],
Berger, M.[Matthew],
Training Deep Network Ultrasound Beamformers With Unlabeled In Vivo
Data,
MedImg(41), No. 1, January 2022, pp. 158-171.
IEEE DOI
2201
In vivo, Array signal processing, Training, Data models,
Training data, Ultrasonic imaging, Image quality, Ultrasound,
deep learning
BibRef
Knight, A.E.[Anna E.],
Trutna, C.A.[Courtney A.],
Rouze, N.C.[Ned C.],
Hobson-Webb, L.D.[Lisa D.],
Caenen, A.[Annette],
Jin, F.Q.[Felix Q.],
Palmeri, M.L.[Mark L.],
Nightingale, K.R.[Kathryn R.],
Full Characterization of in vivo Muscle as an Elastic,
Incompressible, Transversely Isotropic Material Using Ultrasonic
Rotational 3D Shear Wave Elasticity Imaging,
MedImg(41), No. 1, January 2022, pp. 133-144.
IEEE DOI
2201
Muscles, Transducers, Imaging, Propagation,
Anisotropic magnetoresistance, Ultrasonic imaging, Muscle,
transverse isotropy
BibRef
Fincke, J.[Jonathan],
Zhang, X.[Xiang],
Shin, B.[Bonghun],
Ely, G.[Gregory],
Anthony, B.W.[Brian W.],
Quantitative Sound Speed Imaging of Cortical Bone and Soft Tissue:
Results From Observational Data Sets,
MedImg(41), No. 3, March 2022, pp. 502-514.
IEEE DOI
2203
Bones, Biological tissues, Imaging, Transducers,
Computational modeling, Ultrasonic imaging, Data models,
quantitative ultrasound
BibRef
Hossain, M.M.[Md Murad],
Gallippi, C.M.[Caterina M.],
Quantitative Estimation of Mechanical Anisotropy Using Acoustic
Radiation Force (ARF)-Induced Peak Displacements (PD):
'In Silico' and Experimental Demonstration,
MedImg(41), No. 6, June 2022, pp. 1468-1481.
IEEE DOI
2206
Finite element analysis, Anisotropic magnetoresistance, Muscles,
Brain modeling, Adaptation models, Acoustics, Ultrasonic imaging,
kidney
BibRef
You, Q.[Qi],
Trzasko, J.D.[Joshua D.],
Lowerison, M.R.[Matthew R.],
Chen, X.[Xi],
Dong, Z.J.[Zhi-Jie],
ChandraSekaran, N.V.[Nathiya Vaithiyalingam],
Llano, D.A.[Daniel A.],
Chen, S.[Shigao],
Song, P.F.[Peng-Fei],
Curvelet Transform-Based Sparsity Promoting Algorithm for Fast
Ultrasound Localization Microscopy,
MedImg(41), No. 9, September 2022, pp. 2385-2398.
IEEE DOI
2209
Location awareness, Transforms, Imaging, Image reconstruction,
Data acquisition, Ultrasonic imaging, Microscopy,
super-resolution imaging
BibRef
Hristov, D.[Dimitre],
Mustonen, L.[Lauri],
von Eyben, R.[Rie],
Götschel, S.[Sebastian],
Minion, M.[Michael],
El Kaffas, A.[Ahmed],
Dynamic Contrast-Enhanced Ultrasound Modeling of an Analog to
Pseudo-Diffusivity in Intravoxel Incoherent Motion Magnetic Resonance
Imaging,
MedImg(41), No. 12, December 2022, pp. 3824-3834.
IEEE DOI
2212
Tumors, Imaging, Magnetic resonance imaging, Ultrasonic imaging,
Medical treatment, Mice, Convection-diffusion equation, treatment response
BibRef
Kang, J.[Jinbum],
Huang, C.[Chiao],
Perkins, C.[Charles],
Alvarez, A.[Alexander],
Kunyansky, L.[Leonid],
Witte, R.S.[Russell S.],
O'Donnell, M.[Matthew],
Current Source Density Imaging Using Regularized Inversion of
Acoustoelectric Signals,
MedImg(42), No. 3, March 2023, pp. 739-749.
IEEE DOI
2303
Imaging, Lead, Image reconstruction, Spatial resolution,
Acoustic beams, Acoustics, Acoustoelectric imaging, regularization
BibRef
Riemer, K.[Kai],
Toulemonde, M.[Matthieu],
Yan, J.P.[Ji-Peng],
Lerendegui, M.[Marcelo],
Stride, E.[Eleanor],
Weinberg, P.D.[Peter D.],
Dunsby, C.[Christopher],
Tang, M.X.[Meng-Xing],
Fast and Selective Super-Resolution Ultrasound In Vivo With
Acoustically Activated Nanodroplets,
MedImg(42), No. 4, April 2023, pp. 1056-1067.
IEEE DOI
2304
Imaging, Ultrasonic imaging, In vivo, Acoustics, Electron tubes,
Microscopy, Kidney, Phase-change contrast agent, ULM
BibRef
Fu, Z.[Zeyu],
Jiao, J.B.[Jian-Bo],
Yasrab, R.[Robail],
Drukker, L.[Lior],
Papageorghiou, A.T.[Aris T.],
Noble, J.A.[J. Alison],
Anatomy-aware Contrastive Representation Learning for Fetal Ultrasound,
MCV22(422-436).
Springer DOI
2304
BibRef
Yasrab, R.[Robail],
Fu, Z.[Zeyu],
Zhao, H.[He],
Lee, L.H.[Lok Hin],
Sharma, H.[Harshita],
Drukker, L.[Lior],
Papageorgiou, A.T.[Aris T],
Noble, J.A.[J. Alison],
A Machine Learning Method for Automated Description and Workflow
Analysis of First Trimester Ultrasound Scans,
MedImg(42), No. 5, May 2023, pp. 1301-1313.
IEEE DOI
2305
Ultrasonic imaging, Streaming media, Standards, Annotations,
Task analysis, Pregnancy, Ultrasonic variables measurement,
clinical workflow
BibRef
Chen, G.P.[Gong-Ping],
Li, L.[Lei],
Zhang, J.[Jianxun],
Dai, Y.[Yu],
Rethinking the unpretentious U-net for medical ultrasound image
segmentation,
PR(142), 2023, pp. 109728.
Elsevier DOI
2307
Nested U-nets, Ultrasound Image, Breast tumor, Renal ultrasound,
Automatic segmentation
BibRef
Chen, Y.R.[Yin-Ran],
Zhuang, Z.C.[Zi-Chen],
Luo, J.W.[Jian-Wen],
Luo, X.B.[Xiong-Biao],
Doppler and Pair-Wise Optical Flow Constrained 3D Motion Compensation
for 3D Ultrasound Imaging,
IP(32), 2023, pp. 4501-4516.
IEEE DOI
2309
BibRef
Peng, T.[Tao],
Wang, C.[Caishan],
Tang, C.[Caiyin],
Gu, Y.D.[Yi-Dong],
Zhao, J.[Jing],
Li, Q.[Quan],
Cai, J.[Jing],
A multi-center study of ultrasound images using a fully automated
segmentation architecture,
PR(145), 2024, pp. 109925.
Elsevier DOI
2311
Medical image processing, Segmentation, Polygon searching method,
Quantum evolution network, Mathematical mapping formula
BibRef
Jiao, J.[Jing],
Sun, H.[Hongshuang],
Huang, Y.[Yi],
Xia, M.[Menghua],
Qiao, M.Y.[Meng-Yun],
Ren, Y.Y.[Yun-Yun],
Wang, Y.Y.[Yuan-Yuan],
Guo, Y.[Yi],
GMRLNet: A Graph-Based Manifold Regularization Learning Framework for
Placental Insufficiency Diagnosis on Incomplete Multimodal Ultrasound
Data,
MedImg(42), No. 11, November 2023, pp. 3205-3218.
IEEE DOI
2311
BibRef
Li, M.D.[Ming-De],
Hu, H.T.[Hang-Tong],
Ruan, S.M.[Si-Min],
Cheng, M.Q.[Mei-Qing],
Chen, L.D.[Li-Da],
Huang, Z.R.[Ze-Rong],
Li, W.[Wei],
Lin, P.[Peng],
Yang, H.[Hong],
Kuang, M.[Ming],
Lu, M.D.[Ming-De],
Huang, Q.H.[Qing-Hua],
Wang, W.[Wei],
ADMNet: Adaptive-Weighting Dual Mapping for Online Tracking With
Respiratory Motion Estimation in Contrast-Enhanced Ultrasound,
IP(33), 2024, pp. 58-68.
IEEE DOI
2312
BibRef
Li, J.J.[Jia-Jia],
Zhang, P.P.[Ping-Ping],
Wang, T.[Teng],
Zhu, L.[Lei],
Liu, R.[Ruhan],
Yang, X.[Xia],
Wang, K.X.[Kai-Xuan],
Shen, D.G.[Ding-Gang],
Sheng, B.[Bin],
DSMT-Net: Dual Self-Supervised Multi-Operator Transformation for
Multi-Source Endoscopic Ultrasound Diagnosis,
MedImg(43), No. 1, January 2024, pp. 64-75.
IEEE DOI
2401
BibRef
Beuret, S.[Samuel],
Thiran, J.P.[Jean-Philippe],
Windowed Radon Transform and Tensor Rank-1 Decomposition for Adaptive
Beamforming in Ultrafast Ultrasound,
MedImg(43), No. 1, January 2024, pp. 135-148.
IEEE DOI
2401
BibRef
Zhang, Y.[Yong],
Luo, Y.[Yan],
Qiu, L.[Li],
Lu, Q.[Qiang],
Lu, X.[Xiao],
Remote ultrasound real-time consultation and quality control system,
IJIST(34), No. 1, 2024, pp. e22969.
DOI Link
2401
delay, image similarity, interactivity, quality control,
remote real-time medical consultation, ultrasound
BibRef
Chinna, M.L.[Meena Lekshmanan],
Mary, J.P.P.[Joe Prathap Pathrose],
Efficient feature extraction and hybrid deep learning for early
identification of uterine fibroids in ultrasound images,
IJIST(34), No. 3, 2024, pp. e23073.
DOI Link
2404
classification, early detection, feature extraction,
ultrasound image, uterine fibroids
BibRef
Degertekin, F.L.[F. Levent],
How Ultrasound Became Ultra Small,
Spectrum(61), No. 4, April 2024, pp. 38-43.
IEEE DOI
2404
Ultrasonic imaging, Hospitals, Probes, Cables, Biomedical imaging
BibRef
Li, L.[Long],
Yang, J.S.[Jian-Sheng],
Zhang, B.[Bo],
Zhang, H.[Haiwen],
Direct Imaging Methods for Reconstructing a Locally Rough Interface
from Phaseless Total-Field Data or Phased Far-Field Data,
SIIMS(17), No. 1, 2024, pp. 188-224.
DOI Link
2404
scattering of acoustic sound waves.
BibRef
Tuccio, G.[Giulia],
Afrakhteh, S.[Sajjad],
Iacca, G.[Giovanni],
Demi, L.[Libertario],
Time Efficient Ultrasound Localization Microscopy Based on A Novel
Radial Basis Function 2D Interpolation,
MedImg(43), No. 5, May 2024, pp. 1690-1701.
IEEE DOI
2405
Interpolation, Standards, Location awareness, Ultrasonic imaging,
Spatial resolution, Rats, Pipelines, Frame rate, super resolution, RBFs
BibRef
Zhu, H.[Hui],
Zeng, Y.[Yi],
Cai, X.[Xiran],
Passive Acoustic Mapping for Convex Arrays With the Helical Wave
Spectrum Method,
MedImg(43), No. 5, May 2024, pp. 1923-1933.
IEEE DOI
2405
Acoustics, Acoustic arrays, Image reconstruction, Imaging,
Ultrasonic imaging, Medical treatment, Transducers, Convex array,
helical wave spectrum
BibRef
Yang, X.C.[Xing-Chen],
Castellini, C.[Claudio],
Farina, D.[Dario],
Liu, H.H.[Hong-Hai],
Ultrasound as a Neurorobotic Interface: A Review,
SMCS(54), No. 6, June 2024, pp. 3534-3546.
IEEE DOI
2405
Ultrasonic imaging, Muscles, Sensors, Robot sensing systems,
Transducers, Impedance, Biomedical monitoring, Assistive robotics,
ultrasound sensing
BibRef
Yang, Y.M.[Yu-Ming],
Duan, H.[Huilong],
Zheng, Y.F.[Yin-Fei],
Improved Transcranial Plane-Wave Imaging With Learned Speed-of-Sound
Maps,
MedImg(43), No. 6, June 2024, pp. 2191-2201.
IEEE DOI
2406
Ultrasonic imaging, Imaging, Image reconstruction, Radio frequency,
Acoustics, Convolution, Mathematical models,
multi-stencils fast marching method
BibRef
Wegierak, D.[Dana],
Cooley, M.B.[Michaela B.],
Perera, R.[Reshani],
Wulftange, W.J.[William J.],
Gurkan, U.A.[Umut A.],
Kolios, M.C.[Michael C.],
Exner, A.A.[Agata A.],
Decorrelation Time Mapping as an Analysis Tool for Nanobubble-Based
Contrast Enhanced Ultrasound Imaging,
MedImg(43), No. 6, June 2024, pp. 2370-2380.
IEEE DOI
2406
Imaging, Tumors, Decorrelation, Permeability, Blood, Cancer,
Biomedical imaging, Autocorrelation, tumors
BibRef
Lerendegui, M.[Marcelo],
Riemer, K.[Kai],
Papageorgiou, G.[Georgios],
Wang, B.X.[Bing-Xue],
Arthur, L.[Lachlan],
Chavignon, A.[Arthur],
Zhang, T.[Tao],
Couture, O.[Olivier],
Huang, P.[Pingtong],
Ashikuzzaman, M.[Md],
Dencks, S.[Stefanie],
Dunsby, C.[Chris],
Helfield, B.[Brandon],
Jensen, J.A.[Jřrgen Arendt],
Lisson, T.[Thomas],
Lowerison, M.R.[Matthew R.],
Rivaz, H.[Hassan],
Samir, A.E.[Anthony E.],
Schmitz, G.[Georg],
Schoen, S.[Scott],
van Sloun, R.[Ruud],
Song, P.F.[Peng-Fei],
Stevens, T.[Tristan],
Yan, J.P.[Ji-Peng],
Sboros, V.[Vassilis],
Tang, M.X.[Meng-Xing],
ULTRA-SR Challenge: Assessment of Ultrasound Localization and
TRacking Algorithms for Super-Resolution Imaging,
MedImg(43), No. 8, August 2024, pp. 2970-2987.
IEEE DOI
2408
Location awareness, Ultrasonic imaging, Spatial resolution,
Measurement, Software algorithms, Benchmark testing,
challenge
BibRef
Yang, K.[Kun],
Li, Q.[Qiang],
Xu, J.H.[Jia-Hong],
Tang, M.X.[Meng-Xing],
Wang, Z.[Zhibiao],
Tsui, P.H.[Po-Hsiang],
Zhou, X.W.[Xiao-Wei],
Frequency-Domain Robust PCA for Real-Time Monitoring of HIFU
Treatment,
MedImg(43), No. 8, August 2024, pp. 3001-3012.
IEEE DOI
2408
Sparse matrices, Ultrasonic imaging, Interference, Imaging,
Matrix decomposition, Principal component analysis,
robust principal component analysis (RPCA)
BibRef
Caudoux, M.[Manon],
Demeulenaere, O.[Oscar],
Porée, J.[Jonathan],
Sauvage, J.[Jack],
Mateo, P.[Philippe],
Ghaleh, B.[Bijan],
Flesch, M.[Martin],
Ferin, G.[Guillaume],
Tanter, M.[Mickael],
Deffieux, T.[Thomas],
Papadacci, C.[Clement],
Pernot, M.[Mathieu],
Curved Toroidal Row Column Addressed Transducer for 3D Ultrafast
Ultrasound Imaging,
MedImg(43), No. 9, September 2024, pp. 3279-3291.
IEEE DOI
2409
Imaging, Probes, Transducers,
Ultrasonic imaging, Heart, Apertures, 4D ultrafast imaging,
ultrasound localization microscopy
BibRef
Hahne, C.[Christopher],
Chabouh, G.[Georges],
Chavignon, A.[Arthur],
Couture, O.[Olivier],
Sznitman, R.[Raphael],
RF-ULM: Ultrasound Localization Microscopy Learned From
Radio-Frequency Wavefronts,
MedImg(43), No. 9, September 2024, pp. 3253-3262.
IEEE DOI Code:
WWW Link.
2409
Location awareness, Radio frequency, Array signal processing,
Superresolution, Convolution, Ultrasonic imaging, Kernel, beamforming
BibRef
Lu, N.N.[Nan-Nan],
Shu, H.Y.[Hong-Yan],
Optimization and Application Analysis of Phase Correction Method
Based on Improved Image Registration in Ultrasonic Image Detection,
IJIST(34), No. 6, 2024, pp. e23185.
DOI Link
2410
application optimization, health care, image detection,
image registration, phase correction, ultrasound images
BibRef
Zhao, Y.Q.[Ya-Qi],
Li, Y.[Yue],
Lossless medical ultrasound image compression based on frequency
domain decomposition,
JVCIR(104), 2024, pp. 104306.
Elsevier DOI
2411
Medical ultrasound image, Lossless image compression,
Frequency domain decomposition
BibRef
Goel, R.[Raghavv],
Morales, C.[Cecilia],
Singh, M.[Manpreet],
Dubrawski, A.[Artur],
Galeotti, J.[Jonh],
Choset, H.[Howie],
Motion-aware Needle Segmentation in Ultrasound Images,
DEF-AI-MIA24(7886-7891)
IEEE DOI
2410
Optical filters, Image segmentation, Ultrasonic imaging,
Motion segmentation, Noise, Needles, Transformers,
Kalman-filtering
BibRef
Huang, J.H.[Jian-Hua],
Huang, K.[Kuan],
Xu, M.[Meng],
Liu, F.F.[Fei-Fei],
Cfab: An Online Data Augmentation to Alleviate the Spuriousness of
Classification on Medical Ultrasound Images,
CVS23(91-101).
Springer DOI
2312
BibRef
Chen, X.T.[Xiao-Teng],
Chen, J.[Junying],
Low-Sampling-Frequency Plane wave Medical Ultrasound Imaging based on
Adversarial Learning,
ICIP23(2085-2089)
IEEE DOI
2312
BibRef
Chen, Q.[Qi],
Min, X.K.[Xiong-Kuo],
Duan, H.Y.[Hui-Yu],
Zhu, Y.C.[Yu-Cheng],
Zhai, G.T.[Guang-Tao],
Muiqa: Image Quality Assessment Database and Algorithm for Medical
Ultrasound Images,
ICIP21(2958-2962)
IEEE DOI
2201
Image quality, Ultrasonic imaging, Databases,
Ultrasonic variables measurement, Medical services, Manuals,
Database
BibRef
Shakibaei, B.H.[Barmak Honarvar],
Flusser, J.[Jan],
Zhao, Y.F.[Yi-Fan],
Erkoyuncu, J.A.[John Ahmet],
Roy, R.[Rajkumar],
DCT/IDCT Filter Design for Ultrasound Image Filtering,
ICPR21(1804-1811)
IEEE DOI
2105
Wiener filters, Ultrasonic imaging,
Finite impulse response filters, Convolution, Filtering,
Fetus
BibRef
Gravina, M.[Michela],
Gragnaniello, D.[Diego],
Verdoliva, L.[Luisa],
Poggi, G.[Giovanni],
Corsini, I.[Iuri],
Dani, C.[Carlo],
Meneghin, F.[Fabio],
Lista, G.[Gianluca],
Aversa, S.[Salvatore],
Raimondi, F.[Francesco],
Migliaro, F.[Fiorella],
Sansone, C.[Carlo],
Deep learning in the ultrasound evaluation of neonatal respiratory
status,
ICPR21(10493-10499)
IEEE DOI
2105
Training, Deep learning, Pediatrics, Visualization,
Ultrasonic imaging, Correlation, Lung
BibRef
Alkhatib, M.[Mohammad],
Hafiane, A.[Adel],
Vieyres, P.[Pierre],
Merged 1D-2D Deep Convolutional Neural Networks for Nerve Detection
in Ultrasound Images,
ICPR21(4774-4780)
IEEE DOI
2105
Visualization, Ultrasonic imaging, Merging, Surgery,
Computer architecture, Anesthesia, Robustness
BibRef
Wu, Y.,
Shen, K.,
Chen, Z.,
Wu, J.,
Automatic Measurement of Fetal Cavum Septum Pellucidum From
Ultrasound Images Using Deep Attention Network,
ICIP20(2511-2515)
IEEE DOI
2011
Image segmentation, Biometrics (access control),
Ultrasonic imaging, Biological system modeling, U-net
BibRef
Yang, H.,
Shan, C.,
Kolen, A.F.,
de With, P.H.N.,
Automated Catheter Localization in Volumetric Ultrasound Using 3D
Patch-Wise U-Net with Focal Loss,
ICIP19(1346-1350)
IEEE DOI
1910
3D ultrasound, Catheter localization, 3D U-Net, Dense sampling, Focal loss
BibRef
van Sloun, R.J.G.[Ruud J. G.],
Demi, L.[Libertario],
B-line Detection and Localization by Means of Deep Learning:
Preliminary In-vitro Results,
ICIAR19(I:418-424).
Springer DOI
1909
Lung ultrasound.
BibRef
Dhindsa, K.,
Smail, L.C.,
McGrath, M.,
Braga, L.H.,
Becker, S.,
Sonnadara, R.R.,
Grading Prenatal Hydronephrosis from Ultrasound Imaging Using Deep
Convolutional Neural Networks,
CRV18(80-87)
IEEE DOI
1812
Ultrasonic imaging, Surgery, Biomedical imaging, Reliability,
Data models, deep learning, machine learning, ultrasound imaging,
computer vision
BibRef
Roquette, L.,
Simeoni, M.,
Hurley, P.,
A Functional Framework for Ultrasound Imaging,
ICIP18(1837-1841)
IEEE DOI
1809
Imaging, Ultrasonic imaging, Inverse problems, Sensors,
Real-time systems, Array signal processing, Transducers,
Pulse Compression
BibRef
Katakis, S.,
Barotsis, N.,
Kastaniotis, D.,
Theoharatos, C.,
Tsourounis, D.,
Fotopoulos, S.,
Panagiotopoulos, E.,
Muscle Type Classification on Ultrasound Imaging Using Deep
Convolutional Neural Networks,
IVMSP18(1-5)
IEEE DOI
1809
Muscles, Feature extraction, Ultrasonic imaging, Task analysis,
Convolutional neural networks, Training,
High Level Feature Representation
BibRef
Bodnariuc, E.[Ecaterina],
Petra, S.[Stefania],
Schnörr, C.[Christoph],
Voorneveld, J.[Jason],
A Local Spatio-Temporal Approach to Plane Wave Ultrasound Particle
Image Velocimetry,
GCPR17(138-149).
Springer DOI
1711
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IEEE DOI
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Chapter on Medical Applications, CAT, MRI, Ultrasound, Heart Models, Brain Models continues in
Photoacoustic Tomography, Ultrasonic, Generation .