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27 Einträge gefunden

In-vivo markerless motion detection from volumetric optical coherence tomography data using CNNs
2021 - TUHH Open Research
Rupture detection during needle insertion using complex OCT data and CNNs
2021 - TUHH Open Research - frei zugänglich
4D deep learning for real-time volumetric optical coherence elastography
2021 - TUHH Open Research - frei zugänglich
In-vitro MPI-guided IVOCT catheter tracking in real time for motion artifact compensation
2020 - TUHH Open Research - frei zugänglich
High-Speed Markerless Tissue Motion Tracking Using Volumetric Optical Coherence Tomography Images
2020 - TUHH Open Research
Concept for Markerless 6D Tracking Employing Volumetric Optical Coherence Tomography
2020 - TUHH Open Research - frei zugänglich
Deep learning with 4D spatio-temporal data representations for OCT-based force estimation
2020 - TUHH Open Research
Analysis of OCT-based rupture detection during needle insertions using multi-modal CNNs
2020 - Forschungsinformationssystem des UKE
Deep Learning for High Speed Optical Coherence Elastography
2020 - TUHH Open Research
In-Vitro MPI-guided IVOCT catheter tracking in real time for motion artifact compensation
2020 - Forschungsinformationssystem des UKE
Spatio-temporal deep learning methods for motion estimation using 4D OCT image data
2020 - TUHH Open Research - frei zugänglich
Optimizing robot motion for robotic ultrasound-guided radiation therapy
2019 - TUHH Open Research - frei zugänglich
Analysis and optimization of the robot setup for robotic-ultrasound-guided radiation therapy
2019 - TUHH Open Research
Datsets for Publication "In-Vitro MPI-Guided IVOCT Catheter Tracking in Real Time for Motion Artifact Compensation"
2019 - TUHH @ Zenodo - frei zugänglich
Bimodal intravascular volumetric imaging combining OCT and MPI
2019 - TUHH Open Research
Optimizing configurations for 7-DoF robotic ultrasound guidance in radiotherapy of the prostate
2019 - TUHH Open Research
Two-path 3D CNNs for calibration of system parameters for OCT-based motion compensation
2019 - TUHH Open Research
Feasibility of a markerless tracking system based on optical coherence tomography
2019 - TUHH Open Research
Towards automatic lesion classification in the upper aerodigestive tract using OCT and deep transfer learning methods
2019 - TUHH Open Research
Towards OCT-navigated tissue ablation with a picosecond infrared laser (PIRL) and mass-spectrometric analysis
2019 - TUHH Open Research

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

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

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

Concept for Markerless 6D Tracking Employing Volumetric Optical Coherence Tomography

Deep learning with 4D spatio-temporal data representations for OCT-based force estimation

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

Deep Learning for High Speed Optical Coherence Elastography

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

Spatio-temporal deep learning methods for motion estimation using 4D OCT image data

Optimizing robot motion for robotic ultrasound-guided radiation therapy

Analysis and optimization of the robot setup for robotic-ultrasound-guided radiation therapy

Datsets for Publication "In-Vitro MPI-Guided IVOCT Catheter Tracking in Real Time for Motion Artifact Compensation"

Bimodal intravascular volumetric imaging combining OCT and MPI

Optimizing configurations for 7-DoF robotic ultrasound guidance in radiotherapy of the prostate

Two-path 3D CNNs for calibration of system parameters for OCT-based motion compensation

Feasibility of a markerless tracking system based on optical coherence tomography

Towards automatic lesion classification in the upper aerodigestive tract using OCT and deep transfer learning methods

Towards OCT-navigated tissue ablation with a picosecond infrared laser (PIRL) and mass-spectrometric analysis