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28 Einträge gefunden

4D deep learning for real-time volumetric optical coherence elastography
2021 - TUHH Open Research - frei zugänglich
Analysis of ultrasound and optical coherence tomography for markerless volumetric image guidance in robotic radiosurgery
1. Schlüter, Matthias
2021 - TUHH Open Research - frei zugänglich
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
In-Vitro MPI-guided IVOCT catheter tracking in real time for motion artifact compensation
2020 - Forschungsinformationssystem des UKE
Deep learning with 4D spatio-temporal data representations for OCT-based force estimation
2020 - TUHH Open Research
Spatio-temporal deep learning methods for motion estimation using 4D OCT image data
2020 - TUHH Open Research - frei zugänglich
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
High-Speed Markerless Tissue Motion Tracking Using Volumetric Optical Coherence Tomography Images
2020 - TUHH Open Research
In-vitro MPI-guided IVOCT catheter tracking in real time for motion artifact compensation
2020 - TUHH Open Research - frei zugänglich
Concept for Markerless 6D Tracking Employing Volumetric Optical Coherence Tomography
2020 - TUHH Open Research - frei zugänglich
Optimizing robot motion for robotic ultrasound-guided radiation therapy
2019 - TUHH Open Research - frei zugänglich
Towards automatic lesion classification in the upper aerodigestive tract using OCT and deep transfer learning methods
2019 - TUHH Open Research
Optimizing configurations for 7-DoF robotic ultrasound guidance in radiotherapy of the prostate
2019 - TUHH Open Research
Bimodal intravascular volumetric imaging combining OCT and MPI
2019 - Forschungsinformationssystem des UKE
Analysis and optimization of the robot setup for robotic-ultrasound-guided radiation therapy
2019 - TUHH Open Research
Bimodal intravascular volumetric imaging combining OCT and MPI
2019 - TUHH Open Research
Feasibility of a markerless tracking system based on optical coherence tomography
2019 - TUHH Open Research
Two-path 3D CNNs for calibration of system parameters for OCT-based motion compensation
2019 - TUHH Open Research

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

Analysis of ultrasound and optical coherence tomography for markerless volumetric image guidance in robotic radiosurgery

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

Rupture detection during needle insertion using complex OCT data and CNNs

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

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

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

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

Deep Learning for High Speed Optical Coherence Elastography

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

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

Concept for Markerless 6D Tracking Employing Volumetric Optical Coherence Tomography

Optimizing robot motion for robotic ultrasound-guided radiation therapy

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

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

Bimodal intravascular volumetric imaging combining OCT and MPI

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

Bimodal intravascular volumetric imaging combining OCT and MPI

Feasibility of a markerless tracking system based on optical coherence tomography

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