133 related articles for article (PubMed ID: 33900913)
21. Scatterer number density considerations in reference phantom-based attenuation estimation.
Rubert N; Varghese T
Ultrasound Med Biol; 2014 Jul; 40(7):1680-96. PubMed ID: 24726800
[TBL] [Abstract][Full Text] [Related]
22. Estimation of Ultrasound Echogenicity Map from B-Mode Images Using Convolutional Neural Network.
Shen CC; Yang JE
Sensors (Basel); 2020 Aug; 20(17):. PubMed ID: 32878199
[TBL] [Abstract][Full Text] [Related]
23. Displacement Estimation in Ultrasound Elastography Using Pyramidal Convolutional Neural Network.
Tehrani AKZ; Rivaz H
IEEE Trans Ultrason Ferroelectr Freq Control; 2020 Dec; 67(12):2629-2639. PubMed ID: 32070949
[TBL] [Abstract][Full Text] [Related]
24. Trade-offs in data acquisition and processing parameters for backscatter and scatterer size estimations.
Liu W; Zagzebski JA
IEEE Trans Ultrason Ferroelectr Freq Control; 2010; 57(2):340-52. PubMed ID: 20178900
[TBL] [Abstract][Full Text] [Related]
25. Effects of Size Polydispersity and Dense Media on Quantitative Ultrasound Estimates.
Lombard O; Franceschini E
IEEE Trans Ultrason Ferroelectr Freq Control; 2024 May; 71(5):572-583. PubMed ID: 38526898
[TBL] [Abstract][Full Text] [Related]
26. Evaluation of the impact of backscatter intensity variations on ultrasound attenuation estimation.
Omari EA; Varghese T; Madsen EL; Frank G
Med Phys; 2013 Aug; 40(8):082904. PubMed ID: 23927359
[TBL] [Abstract][Full Text] [Related]
27. Machine learning-enabled quantitative ultrasound techniques for tissue differentiation.
Thomson H; Yang S; Cochran S
J Med Ultrason (2001); 2022 Oct; 49(4):517-528. PubMed ID: 35840774
[TBL] [Abstract][Full Text] [Related]
28. Window-modulated compounding Nakagami imaging for ultrasound tissue characterization.
Tsui PH; Ma HY; Zhou Z; Ho MC; Lee YH
Ultrasonics; 2014 Aug; 54(6):1448-59. PubMed ID: 24835004
[TBL] [Abstract][Full Text] [Related]
29. Statistics of the log-compressed echo envelope.
Dutt V; Greenleaf JF
J Acoust Soc Am; 1996 Jun; 99(6):3817-25. PubMed ID: 8655811
[TBL] [Abstract][Full Text] [Related]
30. Differentiation and characterization of rat mammary fibroadenomas and 4T1 mouse carcinomas using quantitative ultrasound imaging.
Oelze ML; O'Brien WD; Blue JP; Zachary JF
IEEE Trans Med Imaging; 2004 Jun; 23(6):764-71. PubMed ID: 15191150
[TBL] [Abstract][Full Text] [Related]
31. Beamforming effects on generalized Nakagami imaging.
Yu X; Guo Y; Huang SM; Li ML; Lee WN
Phys Med Biol; 2015 Oct; 60(19):7513-31. PubMed ID: 26371543
[TBL] [Abstract][Full Text] [Related]
32. Transfer learning using a multi-scale and multi-network ensemble for skin lesion classification.
Mahbod A; Schaefer G; Wang C; Dorffner G; Ecker R; Ellinger I
Comput Methods Programs Biomed; 2020 Sep; 193():105475. PubMed ID: 32268255
[TBL] [Abstract][Full Text] [Related]
33. A deep dive into understanding tumor foci classification using multiparametric MRI based on convolutional neural network.
Zong W; Lee JK; Liu C; Carver EN; Feldman AM; Janic B; Elshaikh MA; Pantelic MV; Hearshen D; Chetty IJ; Movsas B; Wen N
Med Phys; 2020 Sep; 47(9):4077-4086. PubMed ID: 32449176
[TBL] [Abstract][Full Text] [Related]
34. Improved diagnostics through quantitative ultrasound imaging.
Hruska DP; Sanchez J; Oelze ML
Annu Int Conf IEEE Eng Med Biol Soc; 2009; 2009():1956-9. PubMed ID: 19964021
[TBL] [Abstract][Full Text] [Related]
35. Study of the Application of Deep Convolutional Neural Networks (CNNs) in Processing Sensor Data and Biomedical Images.
Hu W; Zhang Y; Li L
Sensors (Basel); 2019 Aug; 19(16):. PubMed ID: 31426516
[TBL] [Abstract][Full Text] [Related]
36. Method of improved scatterer size estimation and application to parametric imaging using ultrasound.
Oelze ML; O'Brien WD
J Acoust Soc Am; 2002 Dec; 112(6):3053-63. PubMed ID: 12509028
[TBL] [Abstract][Full Text] [Related]
37. A study on understanding the physical mechanism of change in ultrasonic envelope statistical property during temperature elevation.
Omura M; Takeuchi M; Nagaoka R; Hasegawa H
Med Phys; 2021 Jun; 48(6):3042-3054. PubMed ID: 33880793
[TBL] [Abstract][Full Text] [Related]
38. Breast Cancer Classification in Automated Breast Ultrasound Using Multiview Convolutional Neural Network with Transfer Learning.
Wang Y; Choi EJ; Choi Y; Zhang H; Jin GY; Ko SB
Ultrasound Med Biol; 2020 May; 46(5):1119-1132. PubMed ID: 32059918
[TBL] [Abstract][Full Text] [Related]
39. Phase-derivative imaging. II: Effects of beam diffraction and scatterer density.
Oosterveld BJ; Romijn RL; Thijssen JM
Ultrason Imaging; 1989 Jul; 11(3):153-74. PubMed ID: 2675450
[TBL] [Abstract][Full Text] [Related]
40. Liver disease classification from ultrasound using multi-scale CNN.
Che H; Brown LG; Foran DJ; Nosher JL; Hacihaliloglu I
Int J Comput Assist Radiol Surg; 2021 Sep; 16(9):1537-1548. PubMed ID: 34097226
[TBL] [Abstract][Full Text] [Related]
[Previous] [Next] [New Search]
