21.12 Medical Applications -- Ultrasound, Ultrasonic

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.[Jørgen 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

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
BibRef

Wang, J., Che, C., Galeotti, J., Horvath, S., Gorantla, V., Stetten, G.,
Ultrasound Tracking Using ProbeSight: Camera Pose Estimation Relative to External Anatomy by Inverse Rendering of a Prior High-Resolution 3D Surface Map,
WACV17(825-833)
IEEE DOI 1609
Cameras, Optical imaging, Probes, Skin, Target tracking, Ultrasonic, imaging BibRef

Ben Daya, I.[Ibrahim], Chen, A.I.H.[Albert I. H.], Shafiee, M.J.[Mohammad Javad], Wong, A.[Alexander], Yeow, J.T.W.[John T. W.],
Compensated Row-Column Ultrasound Imaging System Using Three Dimensional Random Fields,
ICIAR17(107-116).
Springer DOI 1706
BibRef

Billings, S., Albayda, J., Burlina, P.,
Ultrasound image analysis for myopathy detection,
ICPR16(1461-1465)
IEEE DOI 1705
Biomarkers, Correlation, Correlation coefficient, Diseases, Fats, Image segmentation, Muscles, Myopathy, image biomarkers, myositis, regression, ultrasound BibRef