UB Paderborn / Katalog / Suche / in CDI

Sortiert nach

Einfacher Volltextzugriff von (fast) überall

Installieren Sie die LibKey Nomad-Browsererweiterung und erhalten Sie von vielen Webseiten einfachen Zugriff auf lizenzierte Volltexte oder Open Access Publikationen. Mehr erfahren...

A survey of the impact of self-supervised pretraining for diagnostic tasks in medical X-ray, CT, MRI, and ultrasound

BMC medical imaging, 2024-04, Vol.24 (1), p.79-79, Article 79

2024

Volltextzugriff (PDF)

Development of a convolutional neural network to differentiate among the etiology of similar appearing pathological B lines on lung ultrasound: a deep learning study

BMJ open, 2021-03, Vol.11 (3), p.e045120-e045120

2021

Volltextzugriff (PDF)

Self-Supervised Pretraining Improves Performance and Inference Efficiency in Multiple Lung Ultrasound Interpretation Tasks

IEEE access, 2023, Vol.11, p.135696-135707

2023

Volltextzugriff (PDF)

Intra-video positive pairs in self-supervised learning for ultrasound

Frontiers in Imaging, 2024-06, Vol.3

2024

Volltextzugriff (PDF)

Automatic segmentation of the carotid artery and internal jugular vein from 2D ultrasound images for 3D vascular reconstruction

International journal for computer assisted radiology and surgery, 2020-11, Vol.15 (11), p.1835-1846

2020

Volltextzugriff (PDF)

Automation of Lung Ultrasound Interpretation via Deep Learning for the Classification of Normal versus Abnormal Lung Parenchyma: A Multicenter Study

Diagnostics (Basel), 2021-11, Vol.11 (11), p.2049

2021

Volltextzugriff (PDF)

Enhancing Annotation Efficiency with Machine Learning: Automated Partitioning of a Lung Ultrasound Dataset by View

Diagnostics (Basel), 2022-09, Vol.12 (10), p.2351

2022

Volltextzugriff (PDF)

Improving the Generalizability and Performance of an Ultrasound Deep Learning Model Using Limited Multicenter Data for Lung Sliding Artifact Identification

Diagnostics (Basel), 2024-06, Vol.14 (11), p.1081

2024

Volltextzugriff (PDF)

Deep learning approach for automatic out-of-plane needle localisation for semi-automatic ultrasound probe calibration

Healthcare technology letters, 2019-12, Vol.6 (6), p.204-209

2019

Volltextzugriff (PDF)

Interpretable machine learning approaches to prediction of chronic homelessness

Engineering applications of artificial intelligence, 2021-06, Vol.102, p.104243, Article 104243

2021

Volltextzugriff (PDF)

Exploring the Utility of Self-Supervised Pretraining Strategies for the Detection of Absent Lung Sliding in M-Mode Lung Ultrasound

2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW), 2023, p.3077-3086

2023

Volltextzugriff (PDF)

52: PROSPECTIVE REAL-TIME VALIDATION OF A LUNG ULTRASOUND DEEP LEARNING MODEL IN THE INTENSIVE CARE UNIT

Critical care medicine, 2023-01, Vol.51 (1), p.26-26

2023

Volltextzugriff (PDF)

Accurate assessment of the lung sliding artefact on lung ultrasonography using a deep learning approach

Computers in biology and medicine, 2022-09, Vol.148, p.105953-105953, Article 105953

2022

Volltextzugriff (PDF)

Prospective Real-Time Validation of a Lung Ultrasound Deep Learning Model in the ICU

Critical care medicine, 2023-02, Vol.51 (2), p.301-309

2023

Volltextzugriff (PDF)

Improving central line needle insertions using in-situ vascular reconstructions

Computer methods in biomechanics and biomedical engineering., 2021-07, Vol.9 (4), p.363-369

2021

Volltextzugriff (PDF)

1 – 15 von 15

Suche als RSS-Feed

Suchergebnisse filtern

Filter anzeigen

Nur zeigen

Geprüft (Peer-Review)
(14)
Mit Volltextzugriff
(12)

Publikationsform

Artikel
(14)
Tagungsberichte
(1)

Sprache

Englisch
(15)

Erscheinungsjahr

n.n

Thema

15 weitere anzeigen...

Weniger anzeigen...

Menü

Weitere Dienste

Einstellungen

A survey of the impact of self-supervised pretraining for diagnostic tasks in medical X-ray, CT, MRI, and ultrasound

Development of a convolutional neural network to differentiate among the etiology of similar appearing pathological B lines on lung ultrasound: a deep learning study

Self-Supervised Pretraining Improves Performance and Inference Efficiency in Multiple Lung Ultrasound Interpretation Tasks

Intra-video positive pairs in self-supervised learning for ultrasound

Automatic segmentation of the carotid artery and internal jugular vein from 2D ultrasound images for 3D vascular reconstruction

Automation of Lung Ultrasound Interpretation via Deep Learning for the Classification of Normal versus Abnormal Lung Parenchyma: A Multicenter Study

Enhancing Annotation Efficiency with Machine Learning: Automated Partitioning of a Lung Ultrasound Dataset by View

Improving the Generalizability and Performance of an Ultrasound Deep Learning Model Using Limited Multicenter Data for Lung Sliding Artifact Identification

Deep learning approach for automatic out-of-plane needle localisation for semi-automatic ultrasound probe calibration

Interpretable machine learning approaches to prediction of chronic homelessness

Exploring the Utility of Self-Supervised Pretraining Strategies for the Detection of Absent Lung Sliding in M-Mode Lung Ultrasound

52: PROSPECTIVE REAL-TIME VALIDATION OF A LUNG ULTRASOUND DEEP LEARNING MODEL IN THE INTENSIVE CARE UNIT

Accurate assessment of the lung sliding artefact on lung ultrasonography using a deep learning approach

Prospective Real-Time Validation of a Lung Ultrasound Deep Learning Model in the ICU

Improving central line needle insertions using in-situ vascular reconstructions

Suchergebnisse filtern