UB Paderborn / Katalog / Suche / in CDI

1 – 25 von 155

Sortiert nach

Adaptive segmentation of knee radiographs for selecting the optimal ROI in texture analysis

Osteoarthritis and cartilage, 2020-07, Vol.28 (7), p.941-952

2020

Volltextzugriff (PDF)

Development of osteoarthritis in patients with degenerative meniscal tears treated with exercise therapy or surgery: a randomized controlled trial

Osteoarthritis and cartilage, 2020-07, Vol.28 (7), p.897-906

2020

Volltextzugriff (PDF)

The KNee OsteoArthritis Prediction (KNOAP2020) challenge: An image analysis challenge to predict incident symptomatic radiographic knee osteoarthritis from MRI and X-ray images

Osteoarthritis and cartilage, 2023-01, Vol.31 (1), p.115-125

2023

Volltextzugriff (PDF)

Detection of experimental cartilage damage with acoustic emissions technique: An in vitro equine study

Equine veterinary journal, 2020-01, Vol.52 (1), p.152-157

2020

Volltextzugriff (PDF)

Automating three-dimensional osteoarthritis histopathological grading of human osteochondral tissue using machine learning on contrast-enhanced micro-computed tomography

Osteoarthritis and cartilage, 2020-08, Vol.28 (8), p.1133-1144

2020

Volltextzugriff (PDF)

Automatic grading of individual knee osteoarthritis features in plain radiographs using deep convolutional neural networks

Osteoarthritis and cartilage, 2020-04, Vol.28, p.S308

2020

Volltextzugriff (PDF)

Digital Health and Wireless Solutions: First Nordic Conference, NCDHWS 2024, Oulu, Finland, May 7–8, 2024, Proceedings, Part I

2024

Volltextzugriff (PDF)

Digital Health and Wireless Solutions: First Nordic Conference, NCDHWS 2024, Oulu, Finland, May 7–8, 2024, Proceedings, Part II

2024

Volltextzugriff (PDF)

Learning A Model Of Lumbar Disc Degeneration Progression From A Cross-Sectional Population Cohort

Osteoarthritis and cartilage, 2023-03, Vol.31, p.S80-S80

2023

Volltextzugriff (PDF)

Deep semi-supervised learning for knee osteoarthritis severity assessment from plain radiographs

Osteoarthritis and cartilage, 2020-04, Vol.28, p.S311-S312

2020

Volltextzugriff (PDF)

Automatic knee osteoarthritis severity assessment from plain radiographs with limited data

Osteoarthritis and cartilage, 2020-04, Vol.28, p.S314-S315

2020

Volltextzugriff (PDF)

Deep learning identifies morphological features in breast cancer predictive of cancer ERBB2 status and trastuzumab treatment efficacy

Scientific reports, 2021-02, Vol.11 (1), p.4037-4037, Article 4037

2021

Volltextzugriff (PDF)

RADIOGRAPHIC OSTEOARTHRITIS PROGRESSION PREDICTION VIA MULTI-MODAL IMAGING DATA AND DEEP LEARNING

Osteoarthritis and cartilage, 2022-04, Vol.30, p.S86-S87

2022

Volltextzugriff (PDF)

Automatic assessment of morphological changes in knee cartilage using deep learning

Osteoarthritis and cartilage, 2020-04, Vol.28, p.S309-S310

2020

Volltextzugriff (PDF)

EXTERNAL VALIDATION OF SPINENET, A DEEP LEARNING MODEL FOR AUTOMATED GRADING OF LUMBAR DISC DEGENERATION MRI FEATURES, USING THE NORTHERN FINLAND BIRTH COHORT

Osteoarthritis and cartilage, 2022-04, Vol.30, p.S86-S86

2022

Volltextzugriff (PDF)

Acoustic emissions and kinetic instability as new clinical biomarkers to noninvasively assess knee osteoarthritis

Osteoarthritis and cartilage, 2018-04, Vol.26, p.S40-S41

2018

Volltextzugriff (PDF)

Fully automatic deep learning based segmentation of bone-cartilage interface from micro-CT images of human osteochondral samples

Osteoarthritis and cartilage, 2018-04, Vol.26, p.S469-S469

2018

Volltextzugriff (PDF)

Deep learning-based segmentation from histology allows for automated quantification of calcified cartilage morphology in a rabbit model of post-traumatic osteoarthritis

Osteoarthritis and cartilage, 2020-04, Vol.28, p.S310-S311

2020

Volltextzugriff (PDF)

Automatic knee cartilage and menisci segmentation from 3D-DESS MRI using deep semi-supervised learning

Osteoarthritis and cartilage, 2019-04, Vol.27, p.S390-S391

2019

Volltextzugriff (PDF)

Semi-automatic 3D osteoarthritis histopathological grading of human osteochondral tissue from contrast-enhanced micro-computed tomography

Osteoarthritis and cartilage, 2019-04, Vol.27, p.S394-S395

2019

Volltextzugriff (PDF)

DeepKnee: Towards open source fully-automatic Kellgren-Lawrence grading

Osteoarthritis and cartilage, 2019-04, Vol.27, p.S25-S25

2019

Volltextzugriff (PDF)

Deep learning predicts knee osteoarthritis progression from plain radiographs

Osteoarthritis and cartilage, 2019-04, Vol.27, p.S397-S398

2019

Volltextzugriff (PDF)

Knee osteoarthritis development five years following arthroscopic partial meniscectomy or exercise therapy for degenerative meniscal tears: the odense-oslo meniscectomy versus exercise trial

Osteoarthritis and cartilage, 2020-04, Vol.28, p.S28

2020

Volltextzugriff (PDF)

Super-resolution and learned perceptual loss allows high-resolution imaging of trabecular bone with clinical cone beam computed tomography

Osteoarthritis and cartilage, 2021-04, Vol.29, p.S338-S339

2021

Volltextzugriff (PDF)

Predicting total knee replacement from ultrasound using machine learning

Osteoarthritis and cartilage, 2019-04, Vol.27, p.S360-S361

2019

Volltextzugriff (PDF)

1 – 25 von 155

Suche als RSS-Feed

Suchergebnisse filtern

Filter anzeigen

Nur zeigen

Geprüft (Peer-Review)
(57)
Mit Volltextzugriff
(145)

Publikationsform

Sprache

Erscheinungsjahr

n.n

Thema

Science & Technology
(36)
Life Sciences & Biomedicine
(23)
Deep Learning
(21)
Humans
(18)
Osteoarthritis
(17)
Technology
(15)
Engineering
(13)
Knee
(13)
Machine Learning
(13)
Computer Science
(12)
Male
(11)
Engineering, Biomedical
(10)
Female
(9)
Medical Imaging
(9)
Middle Aged
(9)
Radiography
(8)
Radiology, Nuclear Medicine & Medical Imaging
(8)
Computer Science, Artificial Intelligence
(7)
Orthopedics
(7)
Artificial Intelligence
(6)

15 weitere anzeigen...

Weniger anzeigen...

Neu hinzugefügt

... seit 90 Tagen
(3)

Menü

Weitere Dienste

Einstellungen

Adaptive segmentation of knee radiographs for selecting the optimal ROI in texture analysis

Development of osteoarthritis in patients with degenerative meniscal tears treated with exercise therapy or surgery: a randomized controlled trial

The KNee OsteoArthritis Prediction (KNOAP2020) challenge: An image analysis challenge to predict incident symptomatic radiographic knee osteoarthritis from MRI and X-ray images

Detection of experimental cartilage damage with acoustic emissions technique: An in vitro equine study

Automating three-dimensional osteoarthritis histopathological grading of human osteochondral tissue using machine learning on contrast-enhanced micro-computed tomography

Automatic grading of individual knee osteoarthritis features in plain radiographs using deep convolutional neural networks

Digital Health and Wireless Solutions: First Nordic Conference, NCDHWS 2024, Oulu, Finland, May 7–8, 2024, Proceedings, Part I

Digital Health and Wireless Solutions: First Nordic Conference, NCDHWS 2024, Oulu, Finland, May 7–8, 2024, Proceedings, Part II

Learning A Model Of Lumbar Disc Degeneration Progression From A Cross-Sectional Population Cohort

Deep semi-supervised learning for knee osteoarthritis severity assessment from plain radiographs

Automatic knee osteoarthritis severity assessment from plain radiographs with limited data

Deep learning identifies morphological features in breast cancer predictive of cancer ERBB2 status and trastuzumab treatment efficacy

RADIOGRAPHIC OSTEOARTHRITIS PROGRESSION PREDICTION VIA MULTI-MODAL IMAGING DATA AND DEEP LEARNING

Automatic assessment of morphological changes in knee cartilage using deep learning

EXTERNAL VALIDATION OF SPINENET, A DEEP LEARNING MODEL FOR AUTOMATED GRADING OF LUMBAR DISC DEGENERATION MRI FEATURES, USING THE NORTHERN FINLAND BIRTH COHORT

Acoustic emissions and kinetic instability as new clinical biomarkers to noninvasively assess knee osteoarthritis

Fully automatic deep learning based segmentation of bone-cartilage interface from micro-CT images of human osteochondral samples

Deep learning-based segmentation from histology allows for automated quantification of calcified cartilage morphology in a rabbit model of post-traumatic osteoarthritis

Automatic knee cartilage and menisci segmentation from 3D-DESS MRI using deep semi-supervised learning

Semi-automatic 3D osteoarthritis histopathological grading of human osteochondral tissue from contrast-enhanced micro-computed tomography

DeepKnee: Towards open source fully-automatic Kellgren-Lawrence grading

Deep learning predicts knee osteoarthritis progression from plain radiographs

Knee osteoarthritis development five years following arthroscopic partial meniscectomy or exercise therapy for degenerative meniscal tears: the odense-oslo meniscectomy versus exercise trial

Super-resolution and learned perceptual loss allows high-resolution imaging of trabecular bone with clinical cone beam computed tomography

Predicting total knee replacement from ultrasound using machine learning

Suchergebnisse filtern