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Super-resolution Ultrasound Localization Microscopy through Deep Learning.

, , , , , , и . CoRR, (2018)

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Andreas Heßelmann

Peter Heßelmann

Benjamin Heßeler

Dominic Heßel

Michael Andreas Heßelmann

 

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Synthetic Elastography using B-mode Ultrasound through a Deep Fully-Convolutional Neural Network., , , , , и . CoRR, (2019)Artificial intelligence in multiparametric prostate cancer imaging with focus on deep-learning methods., , , и . Comput. Methods Programs Biomed., (2020)3D surface-based registration of ultrasound and histology in prostate cancer imaging., , , , , , , и . Comput. Medical Imaging Graph., (2016)Maximum-Likelihood Estimation for Indicator Dilution Analysis., , , , , и . IEEE Trans. Biomed. Eng., 61 (3): 821-831 (2014)Pharmacokinetic Modeling of the Second-Wave Phenomenon in Nanobubble-Based Contrast-Enhanced Ultrasound., , , , , , и . IEEE Trans. Biomed. Eng., 70 (1): 42-54 (2023)Prostate cancer localization by novel magnetic resonance dispersion imaging., , , , , и . EMBC, стр. 2603-2606. IEEE, (2013)Super-Resolution Ultrasound Localization Microscopy Through Deep Learning., , , , , , и . IEEE Trans. Medical Imaging, 40 (3): 829-839 (2021)Contrast-Ultrasound Diffusion Imaging for Localization of Prostate Cancer., , и . IEEE Trans. Medical Imaging, 30 (8): 1493-1502 (2011)A fixed-distance plane wave method for estimating the ultrasound coefficient of nonlinearity., , , , и . Proc. Meet. Acoust., (2018)Radiomic combination of spatial and temporal features extracted from DCE-MRI for prostate cancer detection *., , , , , и . EMBC, стр. 3153-3156. IEEE, (2021)