Suchergebnis | Hamburg Open Science

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15 Einträge gefunden

Needle tip force estimation by deep learning from raw spectral OCT data
2020 - TUHH Open Research - frei zugänglich
Generalization of spatio-temporal deep learning for vision-based force estimation
2020 - TUHH Open Research - frei zugänglich
Towards an Optical Biopsy during Visceral Surgical Interventions
2020 - TUHH Open Research
Spatio-spectral deep learning methods for in-vivo hyperspectral laryngeal cancer detection
2020 - TUHH Open Research
A Deep Learning Approach for Motion Forecasting Using 4D OCT Data
2020 - TUHH Open Research
Deep learning-based rotation frequency estimation and NURD correction for IVOCT image data
2020 - TUHH Open Research
Skin lesion classification using ensembles of multi-resolution EfficientNets with meta data
2020 - TUHH Open Research - frei zugänglich
Melanoma detection with electrical impedance spectroscopy and dermoscopy using joint deep learning models
2020 - TUHH Open Research
Multiple sclerosis lesion activity segmentation with attention-guided two-path CNNs
2020 - TUHH Open Research
Deep learning with 4D spatio-temporal data representations for OCT-based force estimation
2020 - TUHH Open Research
Spectral-spatial Recurrent-Convolutional Networks for In-Vivo Hyperspectral Tumor Type Classification
2020 - TUHH Open Research
Fully automated longitudinal segmentation of new or enlarged multiple sclerosis lesions using 3D convolutional neural networks
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
Skin Lesion Classification Using CNNs with Patch-Based Attention and Diagnosis-Guided Loss Weighting
2020 - TUHH Open Research

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

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

Towards an Optical Biopsy during Visceral Surgical Interventions

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

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

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

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

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

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

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

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

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

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

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