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...

Feasibility Study of Intelligent Three-Dimensional Accurate Liver Reconstruction Technology Based on MRI Data

Frontiers in medicine, 2022-03, Vol.9, p.834555-834555

2022

Volltextzugriff (PDF)

MAE-TransRNet: An improved transformer-ConvNet architecture with masked autoencoder for cardiac MRI registration

Frontiers in medicine, 2023-03, Vol.10, p.1114571-1114571

2023

Volltextzugriff (PDF)

TTN: Topological Transformer Network for Automated Coronary Artery Branch Labeling in Cardiac CT Angiography

IEEE journal of translational engineering in health and medicine, 2024, Vol.12, p.129-139

2024

Volltextzugriff (PDF)

Computational Cardiac Modeling Reveals Mechanisms of Ventricular Arrhythmogenesis in Long QT Syndrome Type 8: CACNA1C R858H Mutation Linked to Ventricular Fibrillation

Frontiers in physiology, 2017-10, Vol.8, p.771-771

2017

Volltextzugriff (PDF)

An improved contrastive learning network for semi-supervised multi-structure segmentation in echocardiography

Frontiers in cardiovascular medicine, 2023-09, Vol.10, p.1266260-1266260

2023

Volltextzugriff (PDF)

Multi-Views Fusion CNN for Left Ventricular Volumes Estimation on Cardiac MR Images

IEEE transactions on biomedical engineering, 2018-09, Vol.65 (9), p.1924-1934

2018

Volltextzugriff (PDF)

Morphology-controlled synthesis and lithium storage properties of SnO2@C@MoS2 hollow nanospheres with petaloid and granular MoS2 nanosheets as the external layer in different solvents

Journal of alloys and compounds, 2021-01, Vol.850, p.156745, Article 156745

2021

Volltextzugriff (PDF)

Deep Atlas Network for Efficient 3D Left Ventricle Segmentation on Echocardiography

Medical image analysis, 2020-04, Vol.61, p.101638-101638, Article 101638

2020

Volltextzugriff (PDF)

DrugMGR: a deep bioactive molecule binding method to identify compounds targeting proteins

Bioinformatics (Oxford, England), 2024-03, Vol.40 (4)

2024

Volltextzugriff (PDF)

Boosting knowledge diversity, accuracy, and stability via tri-enhanced distillation for domain continual medical image segmentation

Medical image analysis, 2024-05, Vol.94, p.103112-103112, Article 103112

2024

Volltextzugriff (PDF)

A Combined Fully Convolutional Networks and Deformable Model for Automatic Left Ventricle Segmentation Based on 3D Echocardiography

BioMed research international, 2018-01, Vol.2018 (2018), p.1-16

2018

Volltextzugriff (PDF)

Commensal correlation network between segmentation and direct area estimation for bi-ventricle quantification

Medical image analysis, 2020-01, Vol.59, p.101591-101591, Article 101591

2020

Volltextzugriff (PDF)

HLAIImaster: a deep learning method with adaptive domain knowledge predicts HLA II neoepitope immunogenic responses

Briefings in bioinformatics, 2024-05, Vol.25 (4)

2024

Volltextzugriff (PDF)

Comparison of Markowitz Model and Single Index Model with ESG Factors Involved

Highlights in Business, Economics and Management, 2024-09, Vol.40, p.820-826

Dong, Suyu

2024

Volltextzugriff (PDF)

A deep learning network for right ventricle segmentation in short-axis MRI

2016 Computing in Cardiology Conference (CinC), 2016, p.485-488

2016

Volltextzugriff (PDF)

VoxelAtlasGAN: 3D Left Ventricle Segmentation on Echocardiography with Atlas Guided Generation and Voxel-to-Voxel Discrimination

Medical Image Computing and Computer Assisted Intervention – MICCAI 2018, p.622-629

Volltextzugriff (PDF)

A left ventricular segmentation method on 3D echocardiography using deep learning and snake

2016 Computing in Cardiology Conference (CinC), 2016, p.473-476

2016

Volltextzugriff (PDF)

A novel left ventricular volumes prediction method based on deep learning network in cardiac MRI

2016 Computing in Cardiology Conference (CinC), 2016, p.89-92

2016

Volltextzugriff (PDF)

SAGDTI: self-attention and graph neural network with multiple information representations for the prediction of drug–target interactions

Bioinformatics advances, 2023, Vol.3 (1), p.vbad116

2023

Volltextzugriff (PDF)

A Deep Reinforcement Learning Framework for Frame-by-Frame Plaque Tracking on Intravascular Optical Coherence Tomography Image

Medical Image Computing and Computer Assisted Intervention – MICCAI 2019, p.12-20

Volltextzugriff (PDF)

A combined multi-scale deep learning and random forests approach for direct left ventricular volumes estimation in 3D echocardiography

2016 Computing in Cardiology Conference (CinC), 2016, p.889-892

2016

Volltextzugriff (PDF)

Sentiment Analysis on News Comments Based on Supervised Learning Method

International Journal of Multimedia and Ubiquitous Engineering, 2014-07, Vol.9 (7), p.333-346

2014

Volltextzugriff (PDF)

Cardiac left ventricular volumes prediction method based on atlas location and deep learning

2016 IEEE International Conference on Bioinformatics and Biomedicine (BIBM), 2016, p.1604-1610

2016

Volltextzugriff (PDF)

Calcium calmodulin dependent protein kinase II (CaMKII) contribute to arrhythmias after acidosis: Simulation study

2016 Computing in Cardiology Conference (CinC), 2016, p.945-948

2016

Volltextzugriff (PDF)

Weakly Supervised Deformation Network for 3D Echocardiography Segmentation on Left Ventricle

2019 Computing in Cardiology (CinC), 2019, p.1-5

2019

Volltextzugriff (PDF)

1 – 25 von 92

Suche als RSS-Feed

Suchergebnisse filtern

Filter anzeigen

Nur zeigen

Geprüft (Peer-Review)
(78)
Mit Volltextzugriff
(84)

Publikationsform

Artikel
(81)
Tagungsberichte
(11)

Sprache

Englisch
(86)
Chinesisch
(6)

Erscheinungsjahr

n.n

Neu hinzugefügt

... seit 30 Tagen
(1)
... seit 90 Tagen
(3)

Menü

Weitere Dienste

Einstellungen

Feasibility Study of Intelligent Three-Dimensional Accurate Liver Reconstruction Technology Based on MRI Data

MAE-TransRNet: An improved transformer-ConvNet architecture with masked autoencoder for cardiac MRI registration

TTN: Topological Transformer Network for Automated Coronary Artery Branch Labeling in Cardiac CT Angiography

Computational Cardiac Modeling Reveals Mechanisms of Ventricular Arrhythmogenesis in Long QT Syndrome Type 8: CACNA1C R858H Mutation Linked to Ventricular Fibrillation

An improved contrastive learning network for semi-supervised multi-structure segmentation in echocardiography

Multi-Views Fusion CNN for Left Ventricular Volumes Estimation on Cardiac MR Images

Morphology-controlled synthesis and lithium storage properties of SnO2@C@MoS2 hollow nanospheres with petaloid and granular MoS2 nanosheets as the external layer in different solvents

Deep Atlas Network for Efficient 3D Left Ventricle Segmentation on Echocardiography

DrugMGR: a deep bioactive molecule binding method to identify compounds targeting proteins

Boosting knowledge diversity, accuracy, and stability via tri-enhanced distillation for domain continual medical image segmentation

A Combined Fully Convolutional Networks and Deformable Model for Automatic Left Ventricle Segmentation Based on 3D Echocardiography

Commensal correlation network between segmentation and direct area estimation for bi-ventricle quantification

HLAIImaster: a deep learning method with adaptive domain knowledge predicts HLA II neoepitope immunogenic responses

Comparison of Markowitz Model and Single Index Model with ESG Factors Involved

A deep learning network for right ventricle segmentation in short-axis MRI

VoxelAtlasGAN: 3D Left Ventricle Segmentation on Echocardiography with Atlas Guided Generation and Voxel-to-Voxel Discrimination

A left ventricular segmentation method on 3D echocardiography using deep learning and snake

A novel left ventricular volumes prediction method based on deep learning network in cardiac MRI

SAGDTI: self-attention and graph neural network with multiple information representations for the prediction of drug–target interactions

A Deep Reinforcement Learning Framework for Frame-by-Frame Plaque Tracking on Intravascular Optical Coherence Tomography Image

A combined multi-scale deep learning and random forests approach for direct left ventricular volumes estimation in 3D echocardiography

Sentiment Analysis on News Comments Based on Supervised Learning Method

Cardiac left ventricular volumes prediction method based on atlas location and deep learning

Calcium calmodulin dependent protein kinase II (CaMKII) contribute to arrhythmias after acidosis: Simulation study

Weakly Supervised Deformation Network for 3D Echocardiography Segmentation on Left Ventricle

Suchergebnisse filtern