Suchergebnis | Hamburg Open Science

Facetten

24 Einträge gefunden

Optical force estimation for interactions between tool and soft tissues
2023 - TUHH Open Research - frei zugänglich
Ultrasound Shear Wave Velocity Estimation in a small Field of View via Spatio-Temporal Deep Learning
2023 - TUHH Open Research
Ultrasound shear wave elasticity imaging with spatio-temporal deep learning
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
Capturing Inter-Slice Dependencies of 3D Brain MRI-Scans for Unsupervised Anomaly Detection
2022 - TUHH Open Research
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
Systematic analysis of volumetric ultrasound parameters for markerless 4D motion tracking
2022 - TUHH Open Research - frei zugänglich
Medulloblastoma tumor classification using deep transfer learning with multi-scale EfficientNets
2021 - TUHH Open Research
4D deep learning for real-time volumetric optical coherence elastography
2021 - TUHH Open Research - frei zugänglich
Three-dimensional deep learning with spatial erasing for unsupervised anomaly segmentation in brain MRI
2021 - TUHH Open Research - frei zugänglich
Multi-scale input strategies for medulloblastoma tumor classification using deep transfer learning
2021 - TUHH Open Research - frei zugänglich
Melanoma detection with electrical impedance spectroscopy and dermoscopy using joint deep learning models
2020 - TUHH Open Research
Spatio-temporal deep learning methods for motion estimation using 4D OCT image data
2020 - TUHH Open Research - frei zugänglich
Deep learning with 4D spatio-temporal data representations for OCT-based force estimation
2020 - TUHH Open Research
Deep Learning for High Speed Optical Coherence Elastography
2020 - TUHH Open Research
Spectral-spatial Recurrent-Convolutional Networks for In-Vivo Hyperspectral Tumor Type Classification
2020 - TUHH Open Research
Synthesizing strategies for needle steering in gelatin phantoms
2020 - TUHH Open Research
4D spatio-temporal convolutional networks for object position estimation in OCT volumes
2020 - TUHH Open Research - frei zugänglich
A Deep Learning Approach for Motion Forecasting Using 4D OCT Data
2020 - TUHH Open Research

Aktive Facetten

Facetten

Zugriff

Einrichtung

Medientyp

Karte

Erscheinungsjahr

Autor/in

Sprache

Optical force estimation for interactions between tool and soft tissues

Ultrasound Shear Wave Velocity Estimation in a small Field of View via Spatio-Temporal Deep Learning

Ultrasound shear wave elasticity imaging with spatio-temporal deep learning

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

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

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

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

Medulloblastoma tumor classification using deep transfer learning with multi-scale EfficientNets

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

Three-dimensional deep learning with spatial erasing for unsupervised anomaly segmentation in brain MRI

Multi-scale input strategies for medulloblastoma tumor classification using deep transfer learning

Melanoma detection with electrical impedance spectroscopy and dermoscopy using joint deep learning models

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

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

Deep Learning for High Speed Optical Coherence Elastography

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

Synthesizing strategies for needle steering in gelatin phantoms

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

A Deep Learning Approach for Motion Forecasting Using 4D OCT Data