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引用“”的文章Deep neural networks for ultrasound beamforming

标题/作者	年份
Deep learning for tomographic image reconstruction G Wang, JC Ye, B De Man Nature Machine Intelligence 2 (12), 737-748	2020
Deep learning in ultrasound imaging RJG Van Sloun, R Cohen, YC Eldar Proceedings of the IEEE 108 (1), 11-29	2019
Image reconstruction: From sparsity to data-adaptive methods and machine learning S Ravishankar, JC Ye, JA Fessler Proceedings of the IEEE 108 (1), 86-109	2019
A survey of deep-learning applications in ultrasound: Artificial intelligence–powered ultrasound for improving clinical workflow Z Akkus, J Cai, A Boonrod, A Zeinoddini, AD Weston, KA Philbrick, ... Journal of the American College of Radiology 16 (9), 1318-1328	2019
Beamforming and speckle reduction using neural networks D Hyun, LL Brickson, KT Looby, JJ Dahl IEEE transactions on ultrasonics, ferroelectrics, and frequency control 66 …	2019
Efficient B-mode ultrasound image reconstruction from sub-sampled RF data using deep learning YH Yoon, S Khan, J Huh, JC Ye IEEE transactions on medical imaging 38 (2), 325-336	2018
So you think you can DAS? A viewpoint on delay-and-sum beamforming V Perrot, M Polichetti, F Varray, D Garcia Ultrasonics 111, 106309	2021
Adaptive ultrasound beamforming using deep learning B Luijten, R Cohen, FJ De Bruijn, HAW Schmeitz, M Mischi, YC Eldar, ... IEEE Transactions on Medical Imaging 39 (12), 3967-3978	2020
Cai4cai: the rise of contextual artificial intelligence in computer-assisted interventions T Vercauteren, M Unberath, N Padoy, N Navab Proceedings of the IEEE 108 (1), 198-214	2019
Adaptive and compressive beamforming using deep learning for medical ultrasound S Khan, J Huh, JC Ye IEEE transactions on ultrasonics, ferroelectrics, and frequency control 67 …	2020
Deep learning to obtain simultaneous image and segmentation outputs from a single input of raw ultrasound channel data AA Nair, KN Washington, TD Tran, A Reiter, MAL Bell IEEE transactions on ultrasonics, ferroelectrics, and frequency control 67 …	2020
A deep learning framework for single-sided sound speed inversion in medical ultrasound M Feigin, D Freedman, BW Anthony IEEE Transactions on Biomedical Engineering 67 (4), 1142-1151	2019
A deep learning based alternative to beamforming ultrasound images AA Nair, TD Tran, A Reiter, MAL Bell 2018 IEEE International conference on acoustics, speech and signal …	2018
Deep learning for ultrasound localization microscopy X Liu, T Zhou, M Lu, Y Yang, Q He, J Luo IEEE transactions on medical imaging 39 (10), 3064-3078	2020
Deep learning for fast adaptive beamforming B Luijten, R Cohen, FJ De Bruijn, HAW Schmeitz, M Mischi, YC Eldar, ... ICASSP 2019-2019 IEEE International Conference on Acoustics, Speech and …	2019
Practical guide to ultrasound beam forming: Beam pattern and image reconstruction analysis L Demi Applied Sciences 8 (9), 1544	2018
Deep convolutional neural network for ultrasound image enhancement D Perdios, M Vonlanthen, A Besson, F Martinez, M Arditi, JP Thiran 2018 IEEE International Ultrasonics Symposium (IUS), 1-4	2018
A generative adversarial neural network for beamforming ultrasound images: Invited presentation AA Nair, TD Tran, A Reiter, MAL Bell 2019 53rd Annual conference on information sciences and systems (CISS), 1-6	2019
Ultrasound image reconstruction from plane wave radio-frequency data by self-supervised deep neural network J Zhang, Q He, Y Xiao, H Zheng, C Wang, J Luo Medical Image Analysis 70, 102018	2021
A deep learning-based model that reduces speed of sound aberrations for improved in vivo photoacoustic imaging S Jeon, W Choi, B Park, C Kim IEEE Transactions on Image Processing 30, 8773-8784	2021

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