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21 Einträge gefunden

GANs for generation of synthetic ultrasound images from small datasets
2022 - TUHH Open Research - frei zugänglich
Ultrasound shear wave elasticity imaging with spatio-temporal deep learning
2022 - TUHH Open Research - frei zugänglich
Position Data of Offline Needle Steering
2022 - TUHH Open Research - frei zugänglich
Systematic analysis of volumetric ultrasound parameters for markerless 4D motion tracking
2022 - TUHH Open Research - frei zugänglich
Fast adaptive replanning by constrained reoptimization for intra-fractional non-periodic motion during SBRT of the prostate
2022 - TUHH Open Research
Deep learning based segmentation of cervical blood vessels in ultrasound images
2022 - TUHH Open Research
Posterior temperature optimized Bayesian models for inverse problems in medical imaging
2022 - TUHH Open Research
Surface scanning for navigation using high-speed optical coherence tomography
2022 - TUHH Open Research - frei zugänglich
Infratentorial lesions in multiple sclerosis patients: intra- and inter-rater variability in comparison to a fully automated segmentation using 3D convolutional neural networks
2022 - TUHH Open Research
Capturing Inter-Slice Dependencies of 3D Brain MRI-Scans for Unsupervised Anomaly Detection
2022 - TUHH Open Research
Self-supervised U-Net for segmenting flat and sessile polyps
2022 - TUHH Open Research
Data-efficient vision transformers for multi-label sisease classification on chest radiographs
2022 - TUHH Open Research - frei zugänglich
Proximity-based haptic feedback for collaborative robotic needle insertion
2022 - TUHH Open Research - frei zugänglich
Robotic systems in radiotherapy and radiosurgery
1. Gerlach, Stefan
2. Schlaefer, Alexander
2022 - TUHH Open Research - frei zugänglich
Modeling ℝ³ needle steering in Uppaal
2022 - TUHH Open Research - frei zugänglich
Squeeze and multi-context attention for polyp segmentation
2022 - TUHH Open Research - frei zugänglich
Unsupervised anomaly detection in 3D brain MRI using deep learning with multi-task brain age prediction
2022 - TUHH Open Research
AI-based optimization for US-guided radiation therapy of the prostate
2022 - TUHH Open Research - frei zugänglich
Unsupervised anomaly detection in 3D brain MRI using deep learning with impured training data
2022 - TUHH Open Research
In vivo detection of head and neck tumors by hyperspectral imaging combined with deep learning methods
2022 - TUHH Open Research - frei zugänglich

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GANs for generation of synthetic ultrasound images from small datasets

Ultrasound shear wave elasticity imaging with spatio-temporal deep learning

Position Data of Offline Needle Steering

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

Fast adaptive replanning by constrained reoptimization for intra-fractional non-periodic motion during SBRT of the prostate

Deep learning based segmentation of cervical blood vessels in ultrasound images

Posterior temperature optimized Bayesian models for inverse problems in medical imaging

Surface scanning for navigation using high-speed optical coherence tomography

Infratentorial lesions in multiple sclerosis patients: intra- and inter-rater variability in comparison to a fully automated segmentation using 3D convolutional neural networks

Capturing Inter-Slice Dependencies of 3D Brain MRI-Scans for Unsupervised Anomaly Detection

Self-supervised U-Net for segmenting flat and sessile polyps

Data-efficient vision transformers for multi-label sisease classification on chest radiographs

Proximity-based haptic feedback for collaborative robotic needle insertion

Robotic systems in radiotherapy and radiosurgery

Modeling ℝ³ needle steering in Uppaal

Squeeze and multi-context attention for polyp segmentation

Unsupervised anomaly detection in 3D brain MRI using deep learning with multi-task brain age prediction

AI-based optimization for US-guided radiation therapy of the prostate

Unsupervised anomaly detection in 3D brain MRI using deep learning with impured training data

In vivo detection of head and neck tumors by hyperspectral imaging combined with deep learning methods