Publication

MPRAGE to MP2RAGE UNI translation via generative adversarial network improves the automatic tissue and lesion segmentation in multiple sclerosis patients

Publications associées (35)

À propos
Confidentialité
Mentions légales

Graph Chatbot

Chattez avec Graph Search

Posez n’importe quelle question sur les cours, conférences, exercices, recherches, actualités, etc. de l’EPFL ou essayez les exemples de questions ci-dessous.

AVERTISSEMENT : Le chatbot Graph n'est pas programmé pour fournir des réponses explicites ou catégoriques à vos questions. Il transforme plutôt vos questions en demandes API qui sont distribuées aux différents services informatiques officiellement administrés par l'EPFL. Son but est uniquement de collecter et de recommander des références pertinentes à des contenus que vous pouvez explorer pour vous aider à répondre à vos questions.

Connectez-vous pour utiliser Chat avec Graph Search

MPRAGE to MP2RAGE UNI translation via generative adversarial network improves the automatic tissue and lesion segmentation in multiple sclerosis patients

Graph Chatbot

Chattez avec Graph Search

Large-Scale Image Segmentation with Convolutional Networks

Large-Scale Image Segmentation with Convolutional Networks

Assessment of Image Quality Requirements in Magnetic Resonance Imaging for Quantitative Brain Morphometry

Fast and Robust Segmentation of the Striatum Using Deep Convolutional Neural Networks

From Image-level to Pixel-level Labeling with Convolutional Networks

Robust T1-Weighted Structural Brain Imaging and Morphometry at 7T Using MP2RAGE

Multiple Comparison Procedures for Large Correlated Data with Application to Brain Connectivity Analysis

Learning Context Cues for Synapse Segmentation

Geodesic Active Fields

A pipeline approach with spatial information for segmenting multiple sclerosis lesions on brain magnetic resonance imaging

Large-Scale Image Segmentation with Convolutional Networks

From Image-level to Pixel-level Labeling with Convolutional Networks

Multiple Comparison Procedures for Large Correlated Data with Application to Brain Connectivity Analysis

Geodesic Active Fields

Assessment of Image Quality Requirements in Magnetic Resonance Imaging for Quantitative Brain Morphometry

Fast and Robust Segmentation of the Striatum Using Deep Convolutional Neural Networks

Large-Scale Image Segmentation with Convolutional Networks

A pipeline approach with spatial information for segmenting multiple sclerosis lesions on brain magnetic resonance imaging

Robust T1-Weighted Structural Brain Imaging and Morphometry at 7T Using MP2RAGE

Learning Context Cues for Synapse Segmentation