Patch-Based Techniques in Medical Imaging
4th International Workshop, Patch-MI 2018, Held in Conjunction with MICCAI 2018, Granada, Spain, September 20, 2018, Proceedings
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Article
Open AccessData-driven normative values based on generative manifold learning for quantitative MRI
In medicine, abnormalities in quantitative metrics such as the volume reduction of one brain region of an individual versus a control group are often provided as deviations from so-called normal values. These ...
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Chapter and Conference Paper
3D Transformer Based on Deformable Patch Location for Differential Diagnosis Between Alzheimer’s Disease and Frontotemporal Dementia
Alzheimer’s disease and Frontotemporal dementia are common types of neurodegenerative disorders that present overlap** clinical symptoms, making their differential diagnosis very challenging. Numerous effort...
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Article
Open AccessThe Cerebellum and Cognitive Function: Anatomical Evidence from a Transdiagnostic Sample
Multiple lines of evidence across human functional, lesion, and animal data point to a cerebellar role, in particular of crus I, crus II, and lobule VIIB, in cognitive function. However, a map** of distinct ...
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Article
Open AccessCorrection: Understanding the relationship between cerebellar structure and social abilities
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Article
Open AccessUnderstanding the relationship between cerebellar structure and social abilities
The cerebellum contains more than 50% of all neurons in the brain and is involved in a broad range of cognitive functions, including social communication and social cognition. Inconsistent atypicalities in the...
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Article
Microstructural Gray Matter Integrity Deteriorates After an Ischemic Stroke and Is Associated with Processing Speed
Microstructural changes after an ischemic stroke (IS) have mainly been described in white matter. Data evaluating microstructural changes in gray matter (GM) remain scarce. The aim of the present study was to ...
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Article
Structural connectivity map** in human hippocampal-subfields using super-resolution hybrid diffusion imaging: a feasibility study
The goal of the current study was to introduce a new methodology that holds a promise to be used in hippocampus-aging studies using sub-millimeter super-resolution hybrid diffusion imaging (HYDI) MRI.
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Article
Normal-Appearing White Matter Deteriorates over the Year After an Ischemic Stroke and Is Associated with Global Cognition
Normal-appearing white matter (NAWM) is a hub of plasticity, but data relating to its influence on post-ischemic stroke (IS) outcome remain scarce. The aim of this study was to evaluate the relationship betwee...
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Chapter and Conference Paper
Interpretable Differential Diagnosis for Alzheimer’s Disease and Frontotemporal Dementia
Alzheimer’s disease and Frontotemporal dementia are two major types of dementia. Their accurate diagnosis and differentiation is crucial for determining specific intervention and treatment. However, differenti...
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Chapter and Conference Paper
POPCORN: Progressive Pseudo-Labeling with Consistency Regularization and Neighboring
Semi-supervised learning (SSL) uses unlabeled data to compensate for the scarcity of annotated images and the lack of method generalization to unseen domains, two usual problems in medical segmentation tasks. ...
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Chapter and Conference Paper
Deep Grading Based on Collective Artificial Intelligence for AD Diagnosis and Prognosis
Accurate diagnosis and prognosis of Alzheimer’s disease are crucial to develop new therapies and reduce the associated costs. Recently, with the advances of convolutional neural networks, methods have been pro...
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Article
Open AccessAuthor Correction: Multimodal hippocampal subfield grading for Alzheimer’s disease classification
An amendment to this paper has been published and can be accessed via a link at the top of the paper.
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Chapter and Conference Paper
Blind MRI Brain Lesion Inpainting Using Deep Learning
In brain image analysis many of the current pipelines are not robust to the presence of lesions which degrades their accuracy and robustness. For example, performance of classic medical image processing opera...
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Article
Open AccessMultimodal Hippocampal Subfield Grading For Alzheimer’s Disease Classification
Numerous studies have proposed biomarkers based on magnetic resonance imaging (MRI) to detect and predict the risk of evolution toward Alzheimer’s disease (AD). Most of these methods have focused on the hippoc...
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Article
Open AccessLifespan Changes of the Human Brain In Alzheimer’s Disease
Brain imaging studies have shown that slow and progressive cerebral atrophy characterized the development of Alzheimer’s Disease (AD). Despite a large number of studies dedicated to AD, key questions about the...
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Chapter and Conference Paper
AssemblyNet: A Novel Deep Decision-Making Process for Whole Brain MRI Segmentation
Whole brain segmentation using deep learning (DL) is a very challenging task since the number of anatomical labels is very high compared to the number of available training images. To address this problem, pr...
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Book and Conference Proceedings
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Chapter and Conference Paper
Graph of Brain Structures Grading for Early Detection of Alzheimer’s Disease
Alzheimer’s disease is the most common dementia leading to an irreversible neurodegenerative process. To date, subject revealed advanced brain structural alterations when the diagnosis is established. Therefor...
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Chapter and Conference Paper
LesionBrain: An Online Tool for White Matter Lesion Segmentation
In this paper, we present a new tool for white matter lesion segmentation called lesionBrain. Our method is based on a 3-stage strategy including multimodal patch-based segmentation, patch-based regularization...
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Chapter and Conference Paper
Graph of Hippocampal Subfields Grading for Alzheimer’s Disease Prediction
Numerous methods have been proposed to capture early hippocampus alterations caused by Alzheimer’s disease. Among them, patch-based grading approach showed its capability to capture subtle structural alteratio...
