Signal enhancement and signal reconstruction for diffusion imaging using deep learning
- Location
-
Deutsche Nationalbibliothek Frankfurt am Main
- Extent
-
Online-Ressource
- Language
-
Englisch
- Notes
-
Rheinisch-Westfälische Technische Hochschule Aachen, Dissertation, 2019
- Keyword
-
Diffusion
Learning
- Event
-
Veröffentlichung
- (where)
-
Aachen
- (who)
-
Universitätsbibliothek der RWTH Aachen
- (when)
-
2019
- Creator
- Contributor
- DOI
-
10.18154/RWTH-2020-07116
- URN
-
urn:nbn:de:101:1-2020100114090918173309
- Rights
-
Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Last update
-
14.08.2025, 10:46 AM CEST
Data provider
This object is provided by:
Deutsche Nationalbibliothek. If you have any questions about the object, please contact the data provider.
Deutsche Nationalbibliothek. If you have any questions about the object, please contact the data provider.
Associated
- Koppers, Simon
- Merhof, Dorit
- Schultz, Thomas
- Universitätsbibliothek der RWTH Aachen
Time of origin
- 2019
Other Objects (12)
Reconstruction and visualization of neuronal pathways from diffusion tensor data : = Rekonstruktion und Visualisierung neuronaler Bahnen aus Diffusionstensor-Daten
Reconstruction and visualization of neuronal pathways from diffusion tensor data
Reconstruction and visualization of neuronal pathways from diffusion tensor data
Novel Deep Learning Approaches for Analyzing Diffusion Imaging Data
Anisotropy of HARDI diffusion profiles based on the L2-norm
Evaluation of local filter approaches for diffusion tensor-based fiber tracking
Deep learning-based analysis of diffusion MRI image data from multicenter studies and from glioma patients
Brightness Invariant Deep Spectral Super-Resolution
Principal component analysis applied to SPECT and PET Data of Dementia patients – a review
Optimized cortical subdivision for classification of Alzheimer's disease with cortical thickness
Visualization and Evaluation of Intra-Bundle Diffusion Characteristics
Fiber Selection from Diffusion Tensor Data based on Boolean Operators
Reconstruction and visualization of neuronal pathways from diffusion tensor data : = Rekonstruktion und Visualisierung neuronaler Bahnen aus Diffusionstensor-Daten
Reconstruction and visualization of neuronal pathways from diffusion tensor data
Reconstruction and visualization of neuronal pathways from diffusion tensor data
Novel Deep Learning Approaches for Analyzing Diffusion Imaging Data
Anisotropy of HARDI diffusion profiles based on the L2-norm
Evaluation of local filter approaches for diffusion tensor-based fiber tracking
Deep learning-based analysis of diffusion MRI image data from multicenter studies and from glioma patients
Brightness Invariant Deep Spectral Super-Resolution
Principal component analysis applied to SPECT and PET Data of Dementia patients – a review
Optimized cortical subdivision for classification of Alzheimer's disease with cortical thickness
Visualization and Evaluation of Intra-Bundle Diffusion Characteristics
Fiber Selection from Diffusion Tensor Data based on Boolean Operators
Reconstruction and visualization of neuronal pathways from diffusion tensor data : = Rekonstruktion und Visualisierung neuronaler Bahnen aus Diffusionstensor-Daten
Reconstruction and visualization of neuronal pathways from diffusion tensor data
Reconstruction and visualization of neuronal pathways from diffusion tensor data
Novel Deep Learning Approaches for Analyzing Diffusion Imaging Data
Anisotropy of HARDI diffusion profiles based on the L2-norm
Evaluation of local filter approaches for diffusion tensor-based fiber tracking
Deep learning-based analysis of diffusion MRI image data from multicenter studies and from glioma patients
Brightness Invariant Deep Spectral Super-Resolution
Principal component analysis applied to SPECT and PET Data of Dementia patients – a review
Optimized cortical subdivision for classification of Alzheimer's disease with cortical thickness
Visualization and Evaluation of Intra-Bundle Diffusion Characteristics