Suchergebnis | Hamburg Open Science

Facetten

18 Einträge gefunden

Ultrasound shear wave elasticity imaging with spatio-temporal deep learning
2022 - TUHH Open Research - frei zugänglich
Deep Learning based Segmentation of Cervical Blood Vessels in Ultrasound Images
2022 - Forschungsinformationssystem des UKE
Systematic analysis of volumetric ultrasound parameters for markerless 4D motion tracking
2022 - TUHH Open Research - frei zugänglich
ePoster: Deep Learning based Segmentation of Cervical Blood Vessels in Ultrasound Images
2022 - Forschungsinformationssystem des UKE
Surface scanning for navigation using high-speed optical coherence tomography
2022 - TUHH Open Research - frei zugänglich
Deep learning based segmentation of cervical blood vessels in ultrasound images
2022 - TUHH Open Research
A novel optical needle probe for deep learning-based tissue elasticity characterization
2021 - TUHH Open Research - frei zugänglich
Rupture detection during needle insertion using complex OCT data and CNNs
2021 - TUHH Open Research - frei zugänglich
Identification of the concentration‐dependent viscoelastic constitutive parameters of gelatin by combining computational mechanics and machine learning
2021 - TUHH Open Research - frei zugänglich
Concentration‐specific constitutive modeling of gelatin based on artificial neural networks
2021 - TUHH Open Research - frei zugänglich
Automated robotic surface scanning with optical coherence tomography
2021 - TUHH Open Research
Rupture detection during needle insertion using complex OCT data and CNNs
2021 - Forschungsinformationssystem des UKE - frei zugänglich
Tailored methods for segmentation of intravascular ultrasound images via convolutional neural networks
2021 - TUHH Open Research
Tracking heart surface features to determine myocardial contrast agent enrichment
2021 - TUHH Open Research - frei zugänglich
In-vivo markerless motion detection from volumetric optical coherence tomography data using CNNs
2021 - TUHH Open Research
Analysis of OCT-based rupture detection during needle insertions using multi-modal CNNs
2020 - Forschungsinformationssystem des UKE
High-Speed Markerless Tissue Motion Tracking Using Volumetric Optical Coherence Tomography Images
2020 - TUHH Open Research
Synthesizing strategies for needle steering in gelatin phantoms
2020 - TUHH Open Research

Aktive Facetten

Facetten

Zugriff

Einrichtung

Medientyp

Karte

Erscheinungsjahr

Autor/in

Sprache

Ultrasound shear wave elasticity imaging with spatio-temporal deep learning

Deep Learning based Segmentation of Cervical Blood Vessels in Ultrasound Images

Systematic analysis of volumetric ultrasound parameters for markerless 4D motion tracking

ePoster: Deep Learning based Segmentation of Cervical Blood Vessels in Ultrasound Images

Surface scanning for navigation using high-speed optical coherence tomography

Deep learning based segmentation of cervical blood vessels in ultrasound images

A novel optical needle probe for deep learning-based tissue elasticity characterization

Rupture detection during needle insertion using complex OCT data and CNNs

Identification of the concentration‐dependent viscoelastic constitutive parameters of gelatin by combining computational mechanics and machine learning

Concentration‐specific constitutive modeling of gelatin based on artificial neural networks

Automated robotic surface scanning with optical coherence tomography

Rupture detection during needle insertion using complex OCT data and CNNs

Tailored methods for segmentation of intravascular ultrasound images via convolutional neural networks

Tracking heart surface features to determine myocardial contrast agent enrichment

In-vivo markerless motion detection from volumetric optical coherence tomography data using CNNs

Analysis of OCT-based rupture detection during needle insertions using multi-modal CNNs

High-Speed Markerless Tissue Motion Tracking Using Volumetric Optical Coherence Tomography Images

Synthesizing strategies for needle steering in gelatin phantoms