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30 Einträge gefunden

A New Setup for Markerless Motion Compensation in TMS by Relative Head Tracking with a Small-Scale TOF Camera
2019 - TUHH Open Research
Spatio-temporal deep learning models for tip force estimation during needle insertion
2019 - TUHH Open Research
A quantitative metric temporal logic for execution-time constrained verification
2019 - TUHH Open Research
Deep Learning in der SPECT und PET des Gehirns
2019 - TUHH Open Research
Quantitative Analysis of 3D Artery Volume Reconstructions Using Biplane Angiography and Intravascular OCT Imaging
2019 - TUHH Open Research
Efficient neural architecture search on low-dimensional data for OCT image segmentation
1. Gessert, Nils Thorben
2. Schlaefer, Alexander
2019 - TUHH Open Research - frei zugänglich
Optimizing configurations for 7-DoF robotic ultrasound guidance in radiotherapy of the prostate
2019 - TUHH Open Research
Bioresorbable scaffold visualization in IVOCT images using CNNs and weakly supervised localization
2019 - TUHH Open Research
An online model checking approach to soft-tissue detection for rupture
2019 - TUHH Open Research
Feasibility of Colon Cancer Detection in Confocal Laser Microscopy Images Using Convolution Neural Networks
2019 - TUHH Open Research
Towards OCT-navigated tissue ablation with a picosecond infrared laser (PIRL) and mass-spectrometric analysis
2019 - TUHH Open Research
Bimodal intravascular volumetric imaging combining OCT and MPI
2019 - TUHH Open Research
Analysis and optimization of the robot setup for robotic-ultrasound-guided radiation therapy
2019 - TUHH Open Research
Automatic Plaque Detection in IVOCT Pullbacks Using Convolutional Neural Networks
2019 - TUHH Open Research
Towards automatic lesion classification in the upper aerodigestive tract using OCT and deep transfer learning methods
2019 - TUHH Open Research
Endoscopic versus volumetric OCT imaging of mastoid bone structure for pose estimation in minimally invasive cochlear implant Radiosurgery
2019 - TUHH Open Research
Needle Tip Force Sensor for Medical Applications
2019 - TUHH Open Research
Fully automated lesion segmentation using heavily trained 3D convolutional neural networks are equivalent to manual expert segmentations
2019 - TUHH Open Research
Left Ventricle Quantification Using Direct Regression with Segmentation Regularization and Ensembles of Pretrained 2D and 3D CNNs
1. Gessert, Nils Thorben
2. Schlaefer, Alexander
2019 - TUHH Open Research
Feasibility of a markerless tracking system based on optical coherence tomography
2019 - TUHH Open Research

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A New Setup for Markerless Motion Compensation in TMS by Relative Head Tracking with a Small-Scale TOF Camera

Spatio-temporal deep learning models for tip force estimation during needle insertion

A quantitative metric temporal logic for execution-time constrained verification

Deep Learning in der SPECT und PET des Gehirns

Quantitative Analysis of 3D Artery Volume Reconstructions Using Biplane Angiography and Intravascular OCT Imaging

Efficient neural architecture search on low-dimensional data for OCT image segmentation

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

Bioresorbable scaffold visualization in IVOCT images using CNNs and weakly supervised localization

An online model checking approach to soft-tissue detection for rupture

Feasibility of Colon Cancer Detection in Confocal Laser Microscopy Images Using Convolution Neural Networks

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

Bimodal intravascular volumetric imaging combining OCT and MPI

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

Automatic Plaque Detection in IVOCT Pullbacks Using Convolutional Neural Networks

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

Endoscopic versus volumetric OCT imaging of mastoid bone structure for pose estimation in minimally invasive cochlear implant Radiosurgery

Needle Tip Force Sensor for Medical Applications

Fully automated lesion segmentation using heavily trained 3D convolutional neural networks are equivalent to manual expert segmentations

Left Ventricle Quantification Using Direct Regression with Segmentation Regularization and Ensembles of Pretrained 2D and 3D CNNs

Feasibility of a markerless tracking system based on optical coherence tomography