Deep neural networks for ultrasound beamforming AC Luchies, BC Byram IEEE transactions on medical imaging 37 (9), 2010-2021, 2018 | 217 | 2018 |
Temperature dependent ultrasonic characterization of biological media G Ghoshal, AC Luchies, JP Blue, ML Oelze The Journal of the Acoustical Society of America 130 (4), 2203-2211, 2011 | 76 | 2011 |
Training improvements for ultrasound beamforming with deep neural networks AC Luchies, BC Byram Physics in Medicine & Biology 64 (4), 045018, 2019 | 29 | 2019 |
Quantitative ultrasonic characterization of diffuse scatterers in the presence of structures that produce coherent echoes AC Luchies, G Ghoshal, WD O'brien, ML Oelze IEEE transactions on ultrasonics, ferroelectrics, and frequency control 59 …, 2012 | 26 | 2012 |
Assessing the robustness of frequency-domain ultrasound beamforming using deep neural networks AC Luchies, BC Byram IEEE transactions on ultrasonics, ferroelectrics, and frequency control 67 …, 2020 | 22 | 2020 |
Contrast ratio dynamic range: A new beamformer performance metric K Dei, A Luchies, B Byram 2017 IEEE International Ultrasonics Symposium (IUS), 1-4, 2017 | 17 | 2017 |
Training Deep Network Ultrasound Beamformers With Unlabeled In Vivo Data J Tierney, A Luchies, C Khan, J Baker, D Brown, B Byram, M Berger IEEE Transactions on Medical Imaging 41 (1), 158-171, 2021 | 15 | 2021 |
Domain adaptation for ultrasound beamforming J Tierney, A Luchies, C Khan, B Byram, M Berger Medical Image Computing and Computer Assisted Intervention–MICCAI 2020: 23rd …, 2020 | 13 | 2020 |
Improving the quality of attenuation imaging using full angular spatial compounding O Zenteno, A Luchies, M Oelze, R Lavarello 2014 IEEE international ultrasonics symposium, 2426-2429, 2014 | 13 | 2014 |
Total attenuation compensation for backscatter coefficient estimation using full angular spatial compounding A Coila, J Rouyer, O Zenteno, A Luchies, ML Oelze, R Lavarello Ultrasonics 114, 106376, 2021 | 10 | 2021 |
Suppressing off-axis scattering using deep neural networks A Luchies, B Byram Medical Imaging 2018: Ultrasonic Imaging and Tomography 10580, 84-91, 2018 | 10 | 2018 |
Using two-dimensional impedance maps to study weak scattering in sparse random media AC Luchies, ML Oelze The Journal of the Acoustical Society of America 139 (4), 1557-1564, 2016 | 9 | 2016 |
Backscatter coefficient estimation using tapers with gaps AC Luchies, ML Oelze Ultrasonic imaging 37 (2), 117-134, 2015 | 9 | 2015 |
Effects of the container on structure function with impedance map analysis of dense scattering media AC Luchies, ML Oelze The Journal of the Acoustical Society of America 143 (4), 2172-2181, 2018 | 7 | 2018 |
Accounting for domain shift in neural network ultrasound beamforming J Tierney, A Luchies, C Khan, B Byram, M Berger 2020 IEEE International Ultrasonics Symposium (IUS), 1-3, 2020 | 6 | 2020 |
Evaluating input domain and model selection for deep network ultrasound beamforming J Tierney, A Luchies, M Berger, B Byram IEEE transactions on ultrasonics, ferroelectrics, and frequency control 68 …, 2021 | 5 | 2021 |
An improved training scheme for deep neural network ultrasound beamforming E Vienneau, A Luchies, B Byram 2019 IEEE international ultrasonics symposium (IUS), 568-570, 2019 | 5 | 2019 |
High dynamic range ultrasound beamforming using deep neural networks A Luchies, B Byram Medical Imaging 2019: Ultrasonic Imaging and Tomography 10955, 162-168, 2019 | 5 | 2019 |
Reducing the effects of specular scatterers on QUS imaging using the generalized spectrum A Luchies, G Ghoshal, WD O'Brien, ML Oelze 2010 IEEE International Ultrasonics Symposium, 728-731, 2010 | 4 | 2010 |
DNN beamforming for high contrast targets in the presence of reverberation clutter A Luchies, B Byram 2019 IEEE International Ultrasonics Symposium (IUS), 291-294, 2019 | 3 | 2019 |