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Sarah Latus

Name	Sarah Latus
Ort	Deutschland
Geschlecht	weiblich
Beziehung	Technische Universität Hamburg (2016-) Technische Universität Hamburg. Institut für Medizintechnische Systeme (2016-)
Datensatztyp	Person
GND-Nummer	1208439405
Datensatz-ID	1208439405
Beteiligt an alle anzeigen Needle tracking in low-resolution ultrasound volumes using deep learning Collaborative Robotic Biopsy with Trajectory Guidance and Needle Tip Force Feedback Tissue classification during needle insertion using self-supervised contrastive learning and optical coherence tomography Surface Scanning for Navigation Using High-Speed Optical Coherence Tomography Influence of the Field of View on Shear Wave Velocity Estimation Proximity-based haptic feedback for collaborative robotic needle insertion Ultrasound shear wave elasticity imaging with spatio-temporal deep learning A novel optical needle probe for deep learning-based tissue elasticity characterization Collaborative robot assisted smart needle placement Rupture detection during needle insertion using complex OCT data and CNNs 4D deep learning for real-time volumetric optical coherence elastography In-vitro MPI-guided IVOCT catheter tracking in real time for motion artifact compensation

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Sarah Latus

Needle tracking in low-resolution ultrasound volumes using deep learning

Collaborative Robotic Biopsy with Trajectory Guidance and Needle Tip Force Feedback

Tissue classification during needle insertion using self-supervised contrastive learning and optical coherence tomography

Surface Scanning for Navigation Using High-Speed Optical Coherence Tomography

Influence of the Field of View on Shear Wave Velocity Estimation

Proximity-based haptic feedback for collaborative robotic needle insertion

Ultrasound shear wave elasticity imaging with spatio-temporal deep learning

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

Collaborative robot assisted smart needle placement

Rupture detection during needle insertion using complex OCT data and CNNs

4D deep learning for real-time volumetric optical coherence elastography

In-vitro MPI-guided IVOCT catheter tracking in real time for motion artifact compensation