Segmenting hippocampal subfields from 3T MRI with multi‐modality images
Sign Up to like & getrecommendations! Published in 2018 at "Medical Image Analysis"
DOI: 10.1016/j.media.2017.09.006
Abstract: HighlightsUsing multi‐modality MRI for hippocampal subfields segmentation.First explore to capture the connectivity pattern from the resting‐state fMRI for hippocampal subfields segmentation.A learning‐based automatic hippocampal subfields segmentation method.Features from multi‐modality MRI could lead to boosted hippocampal… read more here.
Keywords: modality images; segmentation; multi modality; hippocampal subfields ... See more keywords
Multi-Modality MR Image Synthesis via Confidence-Guided Aggregation and Cross-Modality Refinement
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Journal of Biomedical and Health Informatics"
DOI: 10.1109/jbhi.2021.3082541
Abstract: Magnetic resonance imaging (MRI) can provide multi-modality MR images by setting task-specific scan parameters, and has been widely used in various disease diagnosis and planned treatments. However, in practical clinical applications, it is often difficult… read more here.
Keywords: target modality; modality image; modality; modality images ... See more keywords
A Fully Automatic Framework for Parkinson’s Disease Diagnosis by Multi-Modality Images
Sign Up to like & getrecommendations! Published in 2019 at "Frontiers in Neuroscience"
DOI: 10.3389/fnins.2019.00874
Abstract: Background Parkinson’s disease (PD) is a prevalent long-term neurodegenerative disease. Though the criteria of PD diagnosis are relatively well defined, current diagnostic procedures using medical images are labor-intensive and expertise-demanding. Hence, highly integrated automatic diagnostic… read more here.
Keywords: modality images; diagnosis; framework; disease ... See more keywords