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34 Einträge gefunden

SpeckleGAN: a generative adversarial network with an adaptive speckle layer to augment limited training data for ultrasound image processing
1. Bargsten, Lennart
2. Schlaefer, Alexander
2020 - TUHH Open Research - frei zugänglich
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
High-Speed Markerless Tissue Motion Tracking Using Volumetric Optical Coherence Tomography Images
2020 - TUHH Open Research
4D spatio-temporal convolutional networks for object position estimation in OCT volumes
2020 - TUHH Open Research - frei zugänglich
Deep Learning for High Speed Optical Coherence Elastography
2020 - TUHH Open Research
Boundary prediction during epidural punctures based on OCT relative motion analysis.
2020 - Forschungsinformationssystem des UKE
Boundary prediction during epidural punctures based on OCT relative motion analysis
2020 - TUHH Open Research
BReP‐SNAP‐T‐54: Efficient Stochastic Optimization Accounting for Uncertainty in HDR Prostate Brachytherapy Needle Placement
2020 - TUHH Open Research
Skin lesion classification using ensembles of multi-resolution EfficientNets with meta data
2020 - Forschungsinformationssystem des UKE - frei zugänglich
Spectral-spatial Recurrent-Convolutional Networks for In-Vivo Hyperspectral Tumor Type Classification
2020 - TUHH Open Research
Concept for Markerless 6D Tracking Employing Volumetric Optical Coherence Tomography
2020 - 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
Generalization of spatio-temporal deep learning for vision-based force estimation
2020 - TUHH Open Research - frei zugänglich
Data augmentation for computed tomography angiography via synthetic image generation and neural domain adaptation
2020 - TUHH Open Research - frei zugänglich
Skin Lesion Classification Using CNNs with Patch-Based Attention and Diagnosis-Guided Loss Weighting
2020 - Forschungsinformationssystem des UKE
Skin lesion classification using ensembles of multi-resolution EfficientNets with meta data
2020 - TUHH Open Research - frei zugänglich
Deep learning-based rotation frequency estimation and NURD correction for IVOCT image data
2020 - TUHH Open Research
Synthesizing strategies for needle steering in gelatin phantoms
2020 - TUHH Open Research
Analysis of OCT-based rupture detection during needle insertions using multi-modal CNNs
2020 - Forschungsinformationssystem des UKE

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SpeckleGAN: a generative adversarial network with an adaptive speckle layer to augment limited training data for ultrasound image processing

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

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

4D spatio-temporal convolutional networks for object position estimation in OCT volumes

Deep Learning for High Speed Optical Coherence Elastography

Boundary prediction during epidural punctures based on OCT relative motion analysis.

Boundary prediction during epidural punctures based on OCT relative motion analysis

BReP‐SNAP‐T‐54: Efficient Stochastic Optimization Accounting for Uncertainty in HDR Prostate Brachytherapy Needle Placement

Skin lesion classification using ensembles of multi-resolution EfficientNets with meta data

Spectral-spatial Recurrent-Convolutional Networks for In-Vivo Hyperspectral Tumor Type Classification

Concept for Markerless 6D Tracking Employing Volumetric Optical Coherence Tomography

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

Generalization of spatio-temporal deep learning for vision-based force estimation

Data augmentation for computed tomography angiography via synthetic image generation and neural domain adaptation

Skin Lesion Classification Using CNNs with Patch-Based Attention and Diagnosis-Guided Loss Weighting

Skin lesion classification using ensembles of multi-resolution EfficientNets with meta data

Deep learning-based rotation frequency estimation and NURD correction for IVOCT image data

Synthesizing strategies for needle steering in gelatin phantoms

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