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Ultrasound Shear Wave Velocity Estimation in a small Field of View via Spatio-Temporal Deep Learning
2023 - TUHH Open Research
Optical force estimation for interactions between tool and soft tissues
2023 - 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
Unsupervised anomaly detection in 3D brain MRI using deep learning with impured training data
2022 - TUHH Open Research
Systematic analysis of volumetric ultrasound parameters for markerless 4D motion tracking
2022 - TUHH Open Research - frei zugänglich
Ultrasound shear wave elasticity imaging with spatio-temporal deep learning
2022 - TUHH Open Research - frei zugänglich
Supervised Contrastive Learning to Classify Paranasal Anomalies in the Maxillary Sinus
2022 - Forschungsinformationssystem des UKE
Capturing Inter-Slice Dependencies of 3D Brain MRI-Scans for Unsupervised Anomaly Detection
2022 - TUHH Open Research
In vivo detection of head and neck tumors by hyperspectral imaging combined with deep learning methods
2022 - Forschungsinformationssystem des UKE - frei zugänglich
Supervised Contrastive Learning to Classify Paranasal Anomalies in the Maxillary Sinus
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
Three-dimensional deep learning with spatial erasing for unsupervised anomaly segmentation in brain MRI
2021 - 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
Medulloblastoma tumor classification using deep transfer learning with multi-scale EfficientNets
2021 - Forschungsinformationssystem des UKE
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
Deep learning with 4D spatio-temporal data representations for OCT-based force estimation
2020 - TUHH Open Research
Spatio-spectral deep learning methods for in-vivo hyperspectral laryngeal cancer detection
2020 - TUHH Open Research
Spectral-spatial Recurrent-Convolutional Networks for In-Vivo Hyperspectral Tumor Type Classification
2020 - TUHH Open Research

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

Optical force estimation for interactions between tool and soft tissues

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

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

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

Ultrasound shear wave elasticity imaging with spatio-temporal deep learning

Supervised Contrastive Learning to Classify Paranasal Anomalies in the Maxillary Sinus

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

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

Supervised Contrastive Learning to Classify Paranasal Anomalies in the Maxillary Sinus

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

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

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

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

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

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

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

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

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