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Marcel Bengs

Name	Marcel Bengs
Ort	Neumünster (Geburtsort) Deutschland
Geschlecht	männlich
Akademischer Grad bzw. Titel	M. A. M. Sc. Dr.-Ing.
Beziehung	Technische Universität Hamburg Technische Universität Hamburg. Institut für Medizintechnische Systeme Technische Universität Hamburg. Institut für Medizintechnische und Intelligente Systeme
Datensatztyp	Person
GND-Nummer	1207420557
Datensatz-ID	1207420557
Beteiligt an alle anzeigen Optical force estimation for interactions between tool and soft tissues Spatio-temporal deep learning for medical image sequences Systematic analysis of volumetric ultrasound parameters for markerless 4D motion tracking Systematic analysis of volumetric ultrasound parameters for markerless 4D motion tracking Ultrasound shear wave elasticity imaging with spatio-temporal deep learning In vivo detection of head and neck tumors by hyperspectral imaging combined with deep learning methods In vivo detection of head and neck tumors by hyperspectral imaging combined with deep learning methods Multi-scale input strategies for medulloblastoma tumor classification using deep transfer learning Three-dimensional deep learning with spatial erasing for unsupervised anomaly segmentation in brain MRI Spatio-temporal deep learning methods for motion estimation using 4D OCT image data 4D deep learning for real-time volumetric optical coherence elastography 4D spatio-temporal convolutional networks for object position estimation in OCT volumes Spatio-temporal deep learning methods for motion estimation using 4D OCT image data 4D spatio-temporal deep learning with 4D fMRI data for autism spectrum disorder classification

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Katalog der Deutschen Nationalbibliothek

Marcel Bengs

Optical force estimation for interactions between tool and soft tissues

Spatio-temporal deep learning for medical image sequences

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

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

Ultrasound shear wave elasticity imaging with spatio-temporal deep learning

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

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

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

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

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

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

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

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

4D spatio-temporal deep learning with 4D fMRI data for autism spectrum disorder classification