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...

Machine Learning for Medical Imaging

Radiographics, 2017-03, Vol.37 (2), p.505-515

2017

Volltextzugriff (PDF)

Basic Artificial Intelligence Techniques: Machine Learning and Deep Learning

The Radiologic clinics of North America, 2021-11, Vol.59 (6), p.933-940

Erickson, Bradley J

2021

Volltextzugriff (PDF)

Deep Learning for Brain MRI Segmentation: State of the Art and Future Directions

Journal of digital imaging, 2017-08, Vol.30 (4), p.449-459

2017

Volltextzugriff (PDF)

Automated Abdominal Segmentation of CT Scans for Body Composition Analysis Using Deep Learning

Radiology, 2019-03, Vol.290 (3), p.669-679

2019

Volltextzugriff (PDF)

Invited Commentary: The Double-edged Sword of Bias in Medical Imaging Artificial Intelligence

Radiographics, 2024-05, Vol.44 (5), p.e230243

2024

Volltextzugriff (PDF)

Magician’s Corner: 9. Performance Metrics for Machine Learning Models

Radiology. Artificial intelligence, 2021-05, Vol.3 (3), p.e200126-e200126

2021

Volltextzugriff (PDF)

The RSNA Pediatric Bone Age Machine Learning Challenge

Radiology, 2019-02, Vol.290 (2), p.498-503

2019

Volltextzugriff (PDF)

A Roadmap for Foundational Research on Artificial Intelligence in Medical Imaging: From the 2018 NIH/RSNA/ACR/The Academy Workshop

Radiology, 2019-06, Vol.291 (3), p.781-791

2019

Volltextzugriff (PDF)

Getting More Out of Large Databases and EHRs with Natural Language Processing and Artificial Intelligence: The Future Is Here

Journal of bone and joint surgery. American volume, 2022-10, Vol.104 (Suppl 3), p.51-55

2022

Volltextzugriff (PDF)

The Effects of Changes in Utilization and Technological Advancements of Cross-Sectional Imaging on Radiologist Workload

Academic radiology, 2015-09, Vol.22 (9), p.1191-1198

2015

Volltextzugriff (PDF)

A Survey of Deep-Learning Applications in Ultrasound: Artificial Intelligence–Powered Ultrasound for Improving Clinical Workflow

Journal of the American College of Radiology, 2019-09, Vol.16 (9), p.1318-1328

2019

Volltextzugriff (PDF)

Toolkits and Libraries for Deep Learning

Journal of digital imaging, 2017-08, Vol.30 (4), p.400-405

2017

Volltextzugriff (PDF)

Evidence for the Impact of Diet, Fluid Intake, Caffeine, Alcohol and Tobacco on Lower Urinary Tract Symptoms: A Systematic Review

The Journal of urology, 2017-11, Vol.198 (5), p.1010-1020

2017

Volltextzugriff (PDF)

Association between pathological and MRI findings in multiple sclerosis

Lancet neurology, 2012-04, Vol.11 (4), p.349-360

2012

Volltextzugriff (PDF)

The RSNA International COVID-19 Open Radiology Database (RICORD)

Radiology, 2021-04, Vol.299 (1), p.E204-E213

2021

Volltextzugriff (PDF)

A Comparison of Three Different Deep Learning-Based Models to Predict the MGMT Promoter Methylation Status in Glioblastoma Using Brain MRI

Journal of digital imaging, 2023-06, Vol.36 (3), p.837-846

2023

Volltextzugriff (PDF)

FDA Review of Radiologic AI Algorithms: Process and Challenges

Radiology, 2024-01, Vol.310 (1)

2024

Volltextzugriff (PDF)

Uncover This Tech Term: Uncertainty Quantification for Deep Learning

Korean Journal of Radiology, 2024, 25(4), , pp.395-398

2024

Volltextzugriff (PDF)

Predicting Deletion of Chromosomal Arms 1p/19q in Low-Grade Gliomas from MR Images Using Machine Intelligence

Journal of digital imaging, 2017-08, Vol.30 (4), p.469-476

2017

Volltextzugriff (PDF)

Quantifying Uncertainty in Deep Learning of Radiologic Images

Radiology, 2023-08, Vol.308 (2), p.e222217-e222217

2023

Volltextzugriff (PDF)

Redefining the 3D Topography of the Acetabular Safe Zone: A Multivariable Study Evaluating Prosthetic Hip Stability

Journal of bone and joint surgery. American volume, 2022-02, Vol.104 (3), p.239-245

2022

Volltextzugriff (PDF)

Pathophysiology, Clinical Manifestations, and Treatment of Lichen Sclerosus: A Systematic Review

Urology (Ridgewood, N.J.), 2020-01, Vol.135, p.11-19

2020

Volltextzugriff (PDF)

MRI texture features as biomarkers to predict MGMT methylation status in glioblastomas

Medical physics (Lancaster), 2016-06, Vol.43 (6), p.2835-2844

2016

Volltextzugriff (PDF)

Consensus recommendations for a dynamic susceptibility contrast MRI protocol for use in high-grade gliomas

Neuro-oncology (Charlottesville, Va.), 2020-09, Vol.22 (9), p.1262-1275

2020

Volltextzugriff (PDF)

What Does Deep Learning See? Insights From a Classifier Trained to Predict Contrast Enhancement Phase From CT Images

American journal of roentgenology (1976), 2018-12, Vol.211 (6), p.1184-1193

2018

Volltextzugriff (PDF)

1 – 25 von 986

Suche als RSS-Feed

Suchergebnisse filtern

Filter anzeigen

Nur zeigen

Geprüft (Peer-Review)
(923)
Mit Volltextzugriff
(662)

Publikationsform

3 weitere anzeigen...

Weniger anzeigen...

Sprache

Englisch
(985)
Koreanisch
(1)

Erscheinungsjahr

n.n

Thema

Science & Technology
(505)
Life Sciences & Biomedicine
(475)
Humans
(364)
Male
(197)
Radiology, Nuclear Medicine & Medical Imaging
(148)
Urology & Nephrology
(147)
Urology
(141)
Adult
(131)
Female
(130)
Middle Aged
(121)
Aged
(86)
Biological And Medical Sciences
(73)
Retrospective Studies
(73)
Medical Sciences
(68)
Magnetic Resonance Imaging
(66)
Radiology
(66)
Deep Learning
(59)
Medicine
(54)
Medicine & Public Health
(50)
Technology
(46)

15 weitere anzeigen...

Weniger anzeigen...

Zeitschrift / Serie

5 weitere anzeigen...

Weniger anzeigen...

Neu hinzugefügt

Menü

Weitere Dienste

Einstellungen

Machine Learning for Medical Imaging

Basic Artificial Intelligence Techniques: Machine Learning and Deep Learning

Deep Learning for Brain MRI Segmentation: State of the Art and Future Directions

Automated Abdominal Segmentation of CT Scans for Body Composition Analysis Using Deep Learning

Invited Commentary: The Double-edged Sword of Bias in Medical Imaging Artificial Intelligence

Magician’s Corner: 9. Performance Metrics for Machine Learning Models

The RSNA Pediatric Bone Age Machine Learning Challenge

A Roadmap for Foundational Research on Artificial Intelligence in Medical Imaging: From the 2018 NIH/RSNA/ACR/The Academy Workshop

Getting More Out of Large Databases and EHRs with Natural Language Processing and Artificial Intelligence: The Future Is Here

The Effects of Changes in Utilization and Technological Advancements of Cross-Sectional Imaging on Radiologist Workload

A Survey of Deep-Learning Applications in Ultrasound: Artificial Intelligence–Powered Ultrasound for Improving Clinical Workflow

Toolkits and Libraries for Deep Learning

Evidence for the Impact of Diet, Fluid Intake, Caffeine, Alcohol and Tobacco on Lower Urinary Tract Symptoms: A Systematic Review

Association between pathological and MRI findings in multiple sclerosis

The RSNA International COVID-19 Open Radiology Database (RICORD)

A Comparison of Three Different Deep Learning-Based Models to Predict the MGMT Promoter Methylation Status in Glioblastoma Using Brain MRI

FDA Review of Radiologic AI Algorithms: Process and Challenges

Uncover This Tech Term: Uncertainty Quantification for Deep Learning

Predicting Deletion of Chromosomal Arms 1p/19q in Low-Grade Gliomas from MR Images Using Machine Intelligence

Quantifying Uncertainty in Deep Learning of Radiologic Images

Redefining the 3D Topography of the Acetabular Safe Zone: A Multivariable Study Evaluating Prosthetic Hip Stability

Pathophysiology, Clinical Manifestations, and Treatment of Lichen Sclerosus: A Systematic Review

MRI texture features as biomarkers to predict MGMT methylation status in glioblastomas

Consensus recommendations for a dynamic susceptibility contrast MRI protocol for use in high-grade gliomas

What Does Deep Learning See? Insights From a Classifier Trained to Predict Contrast Enhancement Phase From CT Images

Suchergebnisse filtern