Diffusion MRI anomaly detection in glioma patients

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Location: Deutsche Nationalbibliothek Frankfurt am Main

Extent: 1 Online-Ressource.

Language: Englisch

Bibliographic citation: Diffusion MRI anomaly detection in glioma patients ; volume:13 ; number:1 ; day:21 ; month:11 ; year:2023 ; pages:1-14 ; date:12.2023
Scientific reports ; 13, Heft 1 (21.11.2023), 1-14, 12.2023

Creator: Weninger, Leon
Ecke, Jarek
Jütten, Kerstin
Clusmann, Hans
Wiesmann, Martin
Merhof, Dorit
Na, Chuh-Hyoun

Contributor: SpringerLink (Online service)

DOI: 10.1038/s41598-023-47563-1

URN: urn:nbn:de:101:1-2024021210041445450971

Rights: Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.

Last update: 15.08.2025, 7:29 AM CEST

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Weninger, Leon
Ecke, Jarek
Jütten, Kerstin
Clusmann, Hans
Wiesmann, Martin
Merhof, Dorit
Na, Chuh-Hyoun
SpringerLink (Online service)

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Diffusion MRI anomaly detection in glioma patients

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Diffusion MRI anomaly detection in glioma patients

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Reconstruction and visualization of neuronal pathways from diffusion tensor data : = Rekonstruktion und Visualisierung neuronaler Bahnen aus Diffusionstensor-Daten

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Reconstruction and visualization of neuronal pathways from diffusion tensor data

Hochschulschrift

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Analyzing the effects of free water modeling by deep learning on diffusion MRI structural connectivity estimates in glioma patients

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Novel Deep Learning Approaches for Analyzing Diffusion Imaging Data

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Signal enhancement and signal reconstruction for diffusion imaging using deep learning

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Diffusion MRI anomaly detection in glioma patients

Hochschulschrift

Reconstruction and visualization of neuronal pathways from diffusion tensor data : = Rekonstruktion und Visualisierung neuronaler Bahnen aus Diffusionstensor-Daten

Deep learning-based analysis of diffusion MRI image data from multicenter studies and from glioma patients

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Reconstruction and visualization of neuronal pathways from diffusion tensor data

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Reconstruction and visualization of neuronal pathways from diffusion tensor data

Analyzing the effects of free water modeling by deep learning on diffusion MRI structural connectivity estimates in glioma patients

Increasing the Generalization of Supervised Fabric Anomaly Detection Methods to Unseen Fabrics

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Transfer Learning Gaussian Anomaly Detection by Fine-tuning Representations

Signal enhancement and signal reconstruction for diffusion imaging using deep learning

Evaluation of local filter approaches for diffusion tensor-based fiber tracking

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Diffusion MRI anomaly detection in glioma patients

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Other Objects (12)

Diffusion MRI anomaly detection in glioma patients

Reconstruction and visualization of neuronal pathways from diffusion tensor data : = Rekonstruktion und Visualisierung neuronaler Bahnen aus Diffusionstensor-Daten

Deep learning-based analysis of diffusion MRI image data from multicenter studies and from glioma patients

Reconstruction and visualization of neuronal pathways from diffusion tensor data

Reconstruction and visualization of neuronal pathways from diffusion tensor data

Analyzing the effects of free water modeling by deep learning on diffusion MRI structural connectivity estimates in glioma patients

Increasing the Generalization of Supervised Fabric Anomaly Detection Methods to Unseen Fabrics

Novel Deep Learning Approaches for Analyzing Diffusion Imaging Data

Anisotropy of HARDI diffusion profiles based on the L2-norm

Transfer Learning Gaussian Anomaly Detection by Fine-tuning Representations

Signal enhancement and signal reconstruction for diffusion imaging using deep learning

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Diffusion MRI anomaly detection in glioma patients

Reconstruction and visualization of neuronal pathways from diffusion tensor data : = Rekonstruktion und Visualisierung neuronaler Bahnen aus Diffusionstensor-Daten

Deep learning-based analysis of diffusion MRI image data from multicenter studies and from glioma patients

Reconstruction and visualization of neuronal pathways from diffusion tensor data

Reconstruction and visualization of neuronal pathways from diffusion tensor data

Analyzing the effects of free water modeling by deep learning on diffusion MRI structural connectivity estimates in glioma patients

Increasing the Generalization of Supervised Fabric Anomaly Detection Methods to Unseen Fabrics

Novel Deep Learning Approaches for Analyzing Diffusion Imaging Data

Anisotropy of HARDI diffusion profiles based on the L2-norm

Transfer Learning Gaussian Anomaly Detection by Fine-tuning Representations

Signal enhancement and signal reconstruction for diffusion imaging using deep learning

Evaluation of local filter approaches for diffusion tensor-based fiber tracking

Diffusion MRI anomaly detection in glioma patients

Reconstruction and visualization of neuronal pathways from diffusion tensor data : = Rekonstruktion und Visualisierung neuronaler Bahnen aus Diffusionstensor-Daten

Deep learning-based analysis of diffusion MRI image data from multicenter studies and from glioma patients

Reconstruction and visualization of neuronal pathways from diffusion tensor data

Reconstruction and visualization of neuronal pathways from diffusion tensor data

Analyzing the effects of free water modeling by deep learning on diffusion MRI structural connectivity estimates in glioma patients

Increasing the Generalization of Supervised Fabric Anomaly Detection Methods to Unseen Fabrics

Novel Deep Learning Approaches for Analyzing Diffusion Imaging Data

Anisotropy of HARDI diffusion profiles based on the L2-norm

Transfer Learning Gaussian Anomaly Detection by Fine-tuning Representations

Signal enhancement and signal reconstruction for diffusion imaging using deep learning

Evaluation of local filter approaches for diffusion tensor-based fiber tracking

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