Suchergebnis | Hamburg Open Science

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28 Einträge gefunden

Synthesizing strategies for needle steering in gelatin phantoms
2020 - TUHH Open Research
High-Speed Markerless Tissue Motion Tracking Using Volumetric Optical Coherence Tomography Images
2020 - TUHH Open Research
Needle tip force estimation by deep learning from raw spectral OCT data
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 - TUHH Open Research
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 - TUHH Open Research - frei zugänglich
Concept for Markerless 6D Tracking Employing Volumetric Optical Coherence Tomography
2020 - TUHH Open Research - frei zugänglich
Generalization of spatio-temporal deep learning for vision-based force estimation
2020 - TUHH Open Research - frei zugänglich
Fully automated longitudinal segmentation of new or enlarged multiple sclerosis lesions using 3D convolutional neural networks
2020 - TUHH Open Research - frei zugänglich
Needle placement accuracy in CT-guided robotic post mortem biopsy
2020 - TUHH Open Research - frei zugänglich
Multiple sclerosis lesion activity segmentation with attention-guided two-path CNNs
2020 - TUHH Open Research
Force estimation from 4D OCT data in a human tumor xenograft mouse model
2020 - TUHH Open Research - frei zugänglich
Spatio-temporal deep learning methods for motion estimation using 4D OCT image data
2020 - TUHH Open Research - frei zugänglich
4D spatio-temporal convolutional networks for object position estimation in OCT volumes
2020 - TUHH Open Research - frei zugänglich
Spectral-spatial Recurrent-Convolutional Networks for In-Vivo Hyperspectral Tumor Type Classification
2020 - TUHH Open Research
BReP‐SNAP‐T‐54: Efficient Stochastic Optimization Accounting for Uncertainty in HDR Prostate Brachytherapy Needle Placement
2020 - TUHH Open Research
Towards an Optical Biopsy during Visceral Surgical Interventions
2020 - TUHH Open Research
Multicriterial CNN based beam generation for robotic radiosurgery of the prostate
2020 - TUHH Open Research - frei zugänglich
Spatio-spectral deep learning methods for in-vivo hyperspectral laryngeal cancer detection
2020 - TUHH Open Research

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Synthesizing strategies for needle steering in gelatin phantoms

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

Needle tip force estimation by deep learning from raw spectral OCT data

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

Deep Learning for High Speed Optical Coherence Elastography

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

Concept for Markerless 6D Tracking Employing Volumetric Optical Coherence Tomography

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

Fully automated longitudinal segmentation of new or enlarged multiple sclerosis lesions using 3D convolutional neural networks

Needle placement accuracy in CT-guided robotic post mortem biopsy

Multiple sclerosis lesion activity segmentation with attention-guided two-path CNNs

Force estimation from 4D OCT data in a human tumor xenograft mouse model

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

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

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

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

Towards an Optical Biopsy during Visceral Surgical Interventions

Multicriterial CNN based beam generation for robotic radiosurgery of the prostate

Spatio-spectral deep learning methods for in-vivo hyperspectral laryngeal cancer detection