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Deep Learning for Classification and Localization of COVID-19 Markers in Point-of-Care Lung Ultrasound

IEEE transactions on medical imaging, 2020-08, Vol.39 (8), p.2676-2687

2020

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Deep Learning for Ultrasound Image Formation: CUBDL Evaluation Framework and Open Datasets

IEEE transactions on ultrasonics, ferroelectrics, and frequency control, 2021-12, Vol.68 (12), p.3466-3483

2021

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Determination of a potential quantitative measure of the state of the lung using lung ultrasound spectroscopy

Scientific reports, 2017-10, Vol.7 (1), p.12746-7, Article 12746

2017

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The impact of angles of insonation on left and right ventricular global longitudinal strain estimation in fetal speckle tracking echocardiography

PloS one, 2023-07, Vol.18 (7), p.e0287003-e0287003

2023

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An Angle-Independent Cross-Sectional Doppler Method for Flow Estimation in the Common Carotid Artery

IEEE transactions on ultrasonics, ferroelectrics, and frequency control, 2020-08, Vol.67 (8), p.1513-1524

2020

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Automatic deep learning-based consolidation/collapse classification in lung ultrasound images for COVID-19 induced pneumonia

Scientific reports, 2022-10, Vol.12 (1), p.17581-17581, Article 17581

2022

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Automated multiparametric localization of prostate cancer based on B-mode, shear-wave elastography, and contrast-enhanced ultrasound radiomics

European radiology, 2020-02, Vol.30 (2), p.806-815

2020

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Certainty about uncertainty in sleep staging: a theoretical framework

Sleep (New York, N.Y.), 2022-08, Vol.45 (8), p.1

2022

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A review of machine learning applications for the proton MR spectroscopy workflow

Magnetic resonance in medicine, 2023-10, Vol.90 (4), p.1253-1270

2023

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Improved Plane-Wave Ultrasound Beamforming by Incorporating Angular Weighting and Coherent Compounding in Fourier Domain

IEEE transactions on ultrasonics, ferroelectrics, and frequency control, 2018-05, Vol.65 (5), p.749-765

2018

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Localizing B-Lines in Lung Ultrasonography by Weakly Supervised Deep Learning, In-Vivo Results

IEEE journal of biomedical and health informatics, 2020-04, Vol.24 (4), p.957-964

2020

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Viscoelasticity Mapping by Identification of Local Shear Wave Dynamics

IEEE transactions on ultrasonics, ferroelectrics, and frequency control, 2017-11, Vol.64 (11), p.1666-1673

2017

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Deep Learning in Ultrasound Imaging

Proceedings of the IEEE, 2020-01, Vol.108 (1), p.11-29

2020

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Entropy of Ultrasound-Contrast-Agent Velocity Fields for Angiogenesis Imaging in Prostate Cancer

IEEE transactions on medical imaging, 2017-03, Vol.36 (3), p.826-837

2017

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Protocol of the SOMNIA project: an observational study to create a neurophysiological database for advanced clinical sleep monitoring

BMJ open, 2019-11, Vol.9 (11), p.e030996-e030996

2019

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KalmanNet: Neural Network Aided Kalman Filtering for Partially Known Dynamics

IEEE transactions on signal processing, 2022, Vol.70, p.1532-1547

2022

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Contrast-enhanced ultrasound tractography for 3D vascular imaging of the prostate

Scientific reports, 2018-10, Vol.8 (1), p.14640-8, Article 14640

2018

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Deep Unfolded Robust PCA With Application to Clutter Suppression in Ultrasound

IEEE transactions on medical imaging, 2020-04, Vol.39 (4), p.1051-1063

2020

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Super-resolution Ultrasound Imaging

Ultrasound in medicine & biology, 2020-04, Vol.46 (4), p.865-891

2020

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Detection of clinically significant prostate cancer in biopsy‐naïve men: direct comparison of systematic biopsy, multiparametric MRI‐ and contrast‐ultrasound‐dispersion imaging‐targeted biopsy

BJU international, 2020-10, Vol.126 (4), p.481-493

2020

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Contrast-enhanced ultrasound with dispersion analysis for the localization of prostate cancer: correlation with radical prostatectomy specimens

World journal of urology, 2020-11, Vol.38 (11), p.2811-2818

2020

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Super-Resolution Ultrasound Localization Microscopy Through Deep Learning

IEEE transactions on medical imaging, 2021-03, Vol.40 (3), p.829-839

2021

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On the Relationship between Dynamic Contrast-Enhanced Ultrasound Parameters and the Underlying Vascular Architecture Extracted from Acoustic Angiography

Ultrasound in medicine & biology, 2019-02, Vol.45 (2), p.539-548

2019

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Adaptive Ultrasound Beamforming Using Deep Learning

IEEE transactions on medical imaging, 2020-12, Vol.39 (12), p.3967-3978

2020

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Artificial intelligence in multiparametric prostate cancer imaging with focus on deep-learning methods

Computer methods and programs in biomedicine, 2020-06, Vol.189, p.105316-105316, Article 105316

2020

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Deep Learning for Classification and Localization of COVID-19 Markers in Point-of-Care Lung Ultrasound

Deep Learning for Ultrasound Image Formation: CUBDL Evaluation Framework and Open Datasets

Determination of a potential quantitative measure of the state of the lung using lung ultrasound spectroscopy

The impact of angles of insonation on left and right ventricular global longitudinal strain estimation in fetal speckle tracking echocardiography

An Angle-Independent Cross-Sectional Doppler Method for Flow Estimation in the Common Carotid Artery

Automatic deep learning-based consolidation/collapse classification in lung ultrasound images for COVID-19 induced pneumonia

Automated multiparametric localization of prostate cancer based on B-mode, shear-wave elastography, and contrast-enhanced ultrasound radiomics

Certainty about uncertainty in sleep staging: a theoretical framework

A review of machine learning applications for the proton MR spectroscopy workflow

Improved Plane-Wave Ultrasound Beamforming by Incorporating Angular Weighting and Coherent Compounding in Fourier Domain

Localizing B-Lines in Lung Ultrasonography by Weakly Supervised Deep Learning, In-Vivo Results

Viscoelasticity Mapping by Identification of Local Shear Wave Dynamics

Deep Learning in Ultrasound Imaging

Entropy of Ultrasound-Contrast-Agent Velocity Fields for Angiogenesis Imaging in Prostate Cancer

Protocol of the SOMNIA project: an observational study to create a neurophysiological database for advanced clinical sleep monitoring

KalmanNet: Neural Network Aided Kalman Filtering for Partially Known Dynamics

Contrast-enhanced ultrasound tractography for 3D vascular imaging of the prostate

Deep Unfolded Robust PCA With Application to Clutter Suppression in Ultrasound

Super-resolution Ultrasound Imaging

Detection of clinically significant prostate cancer in biopsy‐naïve men: direct comparison of systematic biopsy, multiparametric MRI‐ and contrast‐ultrasound‐dispersion imaging‐targeted biopsy

Contrast-enhanced ultrasound with dispersion analysis for the localization of prostate cancer: correlation with radical prostatectomy specimens

Super-Resolution Ultrasound Localization Microscopy Through Deep Learning

On the Relationship between Dynamic Contrast-Enhanced Ultrasound Parameters and the Underlying Vascular Architecture Extracted from Acoustic Angiography

Adaptive Ultrasound Beamforming Using Deep Learning

Artificial intelligence in multiparametric prostate cancer imaging with focus on deep-learning methods

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