WATUNet- a deep neural network for segmentation of volumetric sweep imaging ultrasound D. Khaledyan, T. J. Marini, A. M. O'Connell, S. Meng, J. Kan, G. Brennan, Y. Zhao, T. M. Baran, and K. J. Parker Mach Learn Sci Technol, vol. 5, no. 1
, pp. 015042-1
-015042-21
(2024).
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H-scan discrimination for tumor microenvironmental heterogeneity in melanoma J. Baek, S. S. Qin, P. A. Prieto, and K. J. Parker Ultrasound Med Biol, vol. 50, no. 2
, pp. 268
-276
(2024).
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Limitations of curl and directional filters in elastography K. J. Parker Acoustics, vol. 5, no. 2
, pp. 575
-585
(2023).
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Enhancing breast ultrasound segmentation through fine-tuning and optimization techniques- Sharp attention UNet D. Khaledyan, T. J. Marini, T. M. Baran, A. M. O'Connell, and K. J. Parker PLoS One, vol. 18, no. 12
, pp. e0289195-1
-e0289195-22
(2023).
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Multiparametric ultrasound imaging for early-stage steatosis: comparison with magnetic resonance imaging-based proton density fat fraction J. Baek, L. Basavarajappa, R. Margolis, L, Arthur, J. Li, K. Hoyt, and K. J. Parker Med Phys, vol. 51, no. 2
, pp. 1313
-1325
(2023).
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Fluid compartments influence elastography of the aging mouse brain G. R. Ge, J. P. Rolland, W. Song, M. Nedergaard, and K. J. Parker Phys Med Biol, vol 68, no. 9
, pp. 095004-1
-095004-10
(2023).
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The expanding frontier of optical elastography and diagnostic biomechanics K. J. Parker, G. R. Ge, J. P. Rolland, and M. Nedergaard Proceedings, SPIE BiOS, Optical Elastography and Tissue Biomechanics X, vol. 12381
, pp. 1238103-1
-1238103-4
(2023).
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Reverberant magnetic resonance elastographic imaging using a single mechanical driver I. E. Kabir, D. Caban-Rivera, J. Ormachea, K. J. Parker, C. L. Johnson, and M. M. Doyley Phys Med Biol 68(5)
, pp. 055015-1
-055015-16
(2023).
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Detecting kidney fibrosis using H-scan J. Baek, E. Hysi, X. He, D. A. Yuen, M. C. Kolios, and K. J. Parker Proceedings, 2022 IEEE International Ultrasonics Symposium, doi: 10.1109/IUS54386.2022.9957217
, pp. 1
-4
(2022).
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Burr distribution describes ultrasound speckle statistics of soft biological tissues S. S. Poul, S. J. Hollenbach, and K. J. Parker Proceedings, 2022 IEEE International Ultrasonics Symposium, doi: 10.1109/IUS54386.2022.9957933
, pp. 1
-4
(2022).
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Breast lesion detection and visualization utilizing artificial intelligence and the H-scan J. Baek, A. M. O'Connell, and K. J. Parker Proceedings, 2022 IEEE International Ultrasonics Symposium, doi: 10.1109/IUS54386.2022.9957217
, pp. 1
-4
(2022).
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No sonographer, no radiologist: assessing accuracy of artificial intelligence on breast ultrasound volume sweep imaging scans T. J. Marini, B. Castaneda, K. J. Parker, T. M. Baran, S. E. Romero, R. Iyer, Y. Zhao, Z. Hah, M. H. Park, G. Brennan, J. Kan, S. Meng, A. M. Dozier, and A. M. O'Connell PLOS Digit Health, vol. 1, no. 11
, pp. e0000148-1
-e0000148-21
(2022).
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Theory of sleep-wake cycles affecting brain elastography G. R. Ge, W. Song, M. Nedergaard, J. P. Rolland, and K. J. Parker Phys Med Biol, vol. 67, no. 22
, pp. 225013-1
-225013-16
(2022).
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The spherical harmonic family of beampatterns K. J. Parker and M. A. Alonso Acoustics, vol. 4, no. 4
, pp. 958
-966
(2022).
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Improving breast cancer diagnosis by incorporating raw ultrasound parameters into machine learning J. Baek, A. M. O'Connell, and K. J. Parker Mach Learn Sci Technol, vol. 3, no. 4
, pp. 045013-1
-045013-19
(2022).
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