Suchergebnis | Hamburg Open Science

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33 Einträge gefunden

In vivo detection of head and neck tumors by hyperspectral imaging combined with deep learning methods
2022 - TUHH Open Research - frei zugänglich
Confocal Laser Microscopy for in vivo Intraoperative Application: Diagnostic Accuracy of Investigator and Machine Learning Strategies
2021 - TUHH Open Research
Generalization of spatio-temporal deep learning for vision-based force estimation
2020 - TUHH Open Research - frei zugänglich
Spectral-spatial Recurrent-Convolutional Networks for In-Vivo Hyperspectral Tumor Type Classification
2020 - TUHH Open Research
Deep learning with 4D spatio-temporal data representations for OCT-based force estimation
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
Multiple sclerosis lesion activity segmentation with attention-guided two-path CNNs
2020 - TUHH Open Research
Spatio-spectral deep learning methods for in-vivo hyperspectral laryngeal cancer detection
2020 - TUHH Open Research
Melanoma detection with electrical impedance spectroscopy and dermoscopy using joint deep learning models
2020 - TUHH Open Research
Deep learning-based rotation frequency estimation and NURD correction for IVOCT image data
2020 - TUHH Open Research
Spatio-temporal deep learning methods for motion estimation using 4D OCT image data
2020 - TUHH Open Research - frei zugänglich
Towards an Optical Biopsy during Visceral Surgical Interventions
2020 - TUHH Open Research
Needle tip force estimation by deep learning from raw spectral OCT data
2020 - TUHH Open Research - frei zugänglich
A Deep Learning Approach for Motion Forecasting Using 4D OCT Data
2020 - TUHH Open Research
Skin lesion classification using ensembles of multi-resolution EfficientNets with meta data
2020 - TUHH Open Research - frei zugänglich
Skin Lesion Classification Using CNNs with Patch-Based Attention and Diagnosis-Guided Loss Weighting
2020 - TUHH Open Research
4D spatio-temporal convolutional networks for object position estimation in OCT volumes
2020 - TUHH Open Research - frei zugänglich
Towards automatic lesion classification in the upper aerodigestive tract using OCT and deep transfer learning methods
2019 - TUHH Open Research
Towards Deep Learning-Based EEG Electrode Detection Using Automatically Generated Labels
2019 - TUHH Open Research
Feasibility of a markerless tracking system based on optical coherence tomography
2019 - TUHH Open Research

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

Confocal Laser Microscopy for in vivo Intraoperative Application: Diagnostic Accuracy of Investigator and Machine Learning Strategies

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

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

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

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

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

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

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

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

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

Towards an Optical Biopsy during Visceral Surgical Interventions

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

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

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

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

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

Towards automatic lesion classification in the upper aerodigestive tract using OCT and deep transfer learning methods

Towards Deep Learning-Based EEG Electrode Detection Using Automatically Generated Labels

Feasibility of a markerless tracking system based on optical coherence tomography