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View article: Lung ultrasound video scoring using a novel motion-aware segmentation technique: Toward automated neonatal LUS scoring
Lung ultrasound video scoring using a novel motion-aware segmentation technique: Toward automated neonatal LUS scoring Open
Lung ultrasound (LUS) is an essential tool for diagnosing lung diseases. However, its effectiveness is often limited by its reproducibility, making interpretation challenging for clinicians. LUS diagnosis typically relies on subjective ass…
View article: Evaluating deep learning approaches for AI-assisted lung ultrasound diagnosis: an international multi-center and multi-scanner study
Evaluating deep learning approaches for AI-assisted lung ultrasound diagnosis: an international multi-center and multi-scanner study Open
View article: Coherent Plane Wave Compounding combined with Euclidean distance transform for high frame rate and high contrast ultrafast imaging
Coherent Plane Wave Compounding combined with Euclidean distance transform for high frame rate and high contrast ultrafast imaging Open
View article: Synthetic Lung Ultrasound Data Generation Using Autoencoder With Generative Adversarial Network
Synthetic Lung Ultrasound Data Generation Using Autoencoder With Generative Adversarial Network Open
Class imbalance is a significant challenge in medical image analysis, particularly in lung ultrasound (LUS), where severe patterns are often underrepresented. Traditional oversampling techniques, which simply duplicate original data, have …
View article: Towards Reduced Ulm Acquisition Times by Uncoupling a Bi-Disperse Microbubble Population
Towards Reduced Ulm Acquisition Times by Uncoupling a Bi-Disperse Microbubble Population Open
View article: Mitigating high frame rate demands in shear wave elastography using radial basis function-based reconstruction: An experimental phantom study
Mitigating high frame rate demands in shear wave elastography using radial basis function-based reconstruction: An experimental phantom study Open
View article: A Novel 2x2D Radial Basis Function-Based Interpolation for Short Acquisition Time and Relaxed Frame Rate Ultrasound Localization Microscopy
A Novel 2x2D Radial Basis Function-Based Interpolation for Short Acquisition Time and Relaxed Frame Rate Ultrasound Localization Microscopy Open
Ultrasound localization microscopy (ULM) has become a potent technique for microvascular imaging using ultrasound waves. However, one major challenge is the high frame rate and lengthy acquisition time needed to produce super-resolved (SR)…
View article: Deep learning approaches for automated classification of neonatal lung ultrasound with assessment of human-to-AI interrater agreement
Deep learning approaches for automated classification of neonatal lung ultrasound with assessment of human-to-AI interrater agreement Open
View article: Ultrasound Localization Microscopy Imaging by Monodisperse Microbubble Uncoupling: First Experimental Study
Ultrasound Localization Microscopy Imaging by Monodisperse Microbubble Uncoupling: First Experimental Study Open
View article: Lung Ultrasound Spectroscopy Applied to the Differential Diagnosis of Pulmonary Diseases: An In Vivo Multicenter Clinical Study
Lung Ultrasound Spectroscopy Applied to the Differential Diagnosis of Pulmonary Diseases: An In Vivo Multicenter Clinical Study Open
Lung ultrasound (LUS) is an important imaging modality to assess the state of the lung surface. However, current LUS approaches are based on subjective interpretation of imaging artifacts, which results in poor specificity as quantitative …
View article: An ultrasound multiparametric method to quantify liver fat using magnetic resonance as standard reference
An ultrasound multiparametric method to quantify liver fat using magnetic resonance as standard reference Open
Background & Aims There is an unmet need for a reliable and reproducible non‐invasive measure of fatty liver content (FLC) for monitoring steatotic liver disease in clinical practice. Sonographic FLC assessment is qualitative and operator‐…
View article: FLUEnT: Transformer for detecting lung consolidations in videos using fused lung ultrasound encodings
FLUEnT: Transformer for detecting lung consolidations in videos using fused lung ultrasound encodings Open
View article: Automatic Segmentation of 2-D Echocardiography Ultrasound Images by Means of Generative Adversarial Network
Automatic Segmentation of 2-D Echocardiography Ultrasound Images by Means of Generative Adversarial Network Open
Automated cardiac segmentation from 2-D echocardiographic images is a crucial step toward improving clinical diagnosis. Anatomical heterogeneity and inherent noise, however, present technical challenges and lower segmentation accuracy. The…
View article: Curated and Annotated Dataset of Lung US Images in Zambian Children with Clinical Pneumonia
Curated and Annotated Dataset of Lung US Images in Zambian Children with Clinical Pneumonia Open
See also the commentary by Sitek in this issue. Supplemental material is available for this article.
View article: Time Efficient Ultrasound Localization Microscopy Based on A Novel Radial Basis Function 2D Interpolation
Time Efficient Ultrasound Localization Microscopy Based on A Novel Radial Basis Function 2D Interpolation Open
Ultrasound localization microscopy (ULM) allows for the generation of super-resolved (SR) images of the vasculature by precisely localizing intravenously injected microbubbles. Although SR images may be useful for diagnosing and treating p…
View article: Ultrasound multifrequency strategy to estimate the lung surface roughness, in silico and in vitro results
Ultrasound multifrequency strategy to estimate the lung surface roughness, in silico and in vitro results Open
View article: Benchmark methodological approach for the application of artificial intelligence to lung ultrasound data from COVID-19 patients: From frame to prognostic-level
Benchmark methodological approach for the application of artificial intelligence to lung ultrasound data from COVID-19 patients: From frame to prognostic-level Open
View article: Multi-objective automatic analysis of lung ultrasound data from COVID-19 patients by means of deep learning and decision trees
Multi-objective automatic analysis of lung ultrasound data from COVID-19 patients by means of deep learning and decision trees Open
View article: State of the Art in Lung Ultrasound, Shifting from Qualitative to Quantitative Analyses
State of the Art in Lung Ultrasound, Shifting from Qualitative to Quantitative Analyses Open
View article: New International Guidelines and Consensus on the Use of Lung Ultrasound
New International Guidelines and Consensus on the Use of Lung Ultrasound Open
Following the innovations and new discoveries of the last 10 years in the field of lung ultrasound (LUS), a multidisciplinary panel of international LUS experts from six countries and from different fields (clinical and technical) reviewed…
View article: Human‐to‐<scp>AI</scp> Interrater Agreement for Lung Ultrasound Scoring in <scp>COVID</scp>‐19 Patients
Human‐to‐<span>AI</span> Interrater Agreement for Lung Ultrasound Scoring in <span>COVID</span>‐19 Patients Open
Objectives Lung ultrasound (LUS) has sparked significant interest during COVID‐19. LUS is based on the detection and analysis of imaging patterns. Vertical artifacts and consolidations are some of the recognized patterns in COVID‐19. Howev…
View article: Automatic Deep Learning-Based Consolidation/Collapse Classification in Lung Ultrasound Images for COVID-19 Induced Pneumonia
Automatic Deep Learning-Based Consolidation/Collapse Classification in Lung Ultrasound Images for COVID-19 Induced Pneumonia Open
Our automated deep learning-based approach identifies consolidation/collapse in LUS images to aid in the diagnosis of late stages of COVID-19 induced pneumonia, where consolidation/collapse is one of the possible associated pathologies. A …
View article: Automatic Deep Learning-Based Consolidation/Collapse Classification in Lung Ultrasound Images for COVID-19 Induced Pneumonia
Automatic Deep Learning-Based Consolidation/Collapse Classification in Lung Ultrasound Images for COVID-19 Induced Pneumonia Open
Our automated deep learning-based approach identifies consolidation/collapse in LUS images to aid in the diagnosis of late stages of COVID-19 induced pneumonia, where consolidation/collapse is one of the possible associated pathologies. A …
View article: Neuro-symbolic interpretable AI for automatic COVID-19 patient-stratification based on standardised lung ultrasound data
Neuro-symbolic interpretable AI for automatic COVID-19 patient-stratification based on standardised lung ultrasound data Open
In the current pandemic, being able to efficiently stratify patients depending on their probability to develop a severe form of COVID-19 can improve the outcome of treatments and optimize the use of the available resources. To this end, re…
View article: Impact of pixel, intensity, & temporal resolution on automatic scoring of LUS from Coronavirus disease 2019 patients
Impact of pixel, intensity, & temporal resolution on automatic scoring of LUS from Coronavirus disease 2019 patients Open
With the outbreak of the COVID-19, remote diagnosis, patient monitoring, collection, and transmission of data from electronic devices is rapidly taking share in the health sector. These devices are however limited on resources like energy,…
View article: Lung Ultrasound in <scp>COVID</scp>‐19 and <scp>Post‐COVID</scp>‐19 Patients, an Evidence‐Based Approach
Lung Ultrasound in <span>COVID</span>‐19 and <span>Post‐COVID</span>‐19 Patients, an Evidence‐Based Approach Open
Objectives Worldwide, lung ultrasound (LUS) was utilized to assess coronavirus disease 2019 (COVID‐19) patients. Often, imaging protocols were however defined arbitrarily and not following an evidence‐based approach. Moreover, extensive st…
View article: Investigating training-test data splitting strategies for automated segmentation and scoring of COVID-19 lung ultrasound images
Investigating training-test data splitting strategies for automated segmentation and scoring of COVID-19 lung ultrasound images Open
Ultrasound in point-of-care lung assessment is becoming increasingly relevant. This is further reinforced in the context of the COVID-19 pandemic, where rapid decisions on the lung state must be made for staging and monitoring purposes. Th…
View article: Integrating Domain Knowledge Into Deep Networks for Lung Ultrasound With Applications to COVID-19
Integrating Domain Knowledge Into Deep Networks for Lung Ultrasound With Applications to COVID-19 Open
Lung ultrasound (LUS) is a cheap, safe and non-invasive imaging modality that can be performed at patient bed-side. However, to date LUS is not widely adopted due to lack of trained personnel required for interpreting the acquired LUS fram…
View article: Point of Care Image Analysis for COVID-19
Point of Care Image Analysis for COVID-19 Open
Early detection of COVID-19 is key in containing the pandemic. Disease detection and evaluation based on imaging is fast and cheap and therefore plays an important role in COVID-19 handling. COVID-19 is easier to detect in chest CT, howeve…
View article: Limiting the areas inspected by lung ultrasound leads to an underestimation of COVID-19 patients’ condition
Limiting the areas inspected by lung ultrasound leads to an underestimation of COVID-19 patients’ condition Open