Recent publications from the Alzheimer's Disease Neuroimaging Initiative: Reviewing progress toward improved AD clinical trials
MW Weiner, DP Veitch, PS Aisen, LA Beckett… - Alzheimer's & …, 2017 - Elsevier
Abstract Introduction The Alzheimer's Disease Neuroimaging Initiative (ADNI) has continued
development and standardization of methodologies for biomarkers and has provided an …
development and standardization of methodologies for biomarkers and has provided an …
Supervoxel based method for multi-atlas segmentation of brain MR images
Multi-atlas segmentation has been widely applied to the analysis of brain MR images.
However, the state-of-the-art techniques in multi-atlas segmentation, including both patch …
However, the state-of-the-art techniques in multi-atlas segmentation, including both patch …
Left atrial segmentation combining multi-atlas whole heart labeling and shape-based atlas selection
Segmentation of the left atria (LA) from late gadolinium enhanced magnetic resonance
imaging (LGE-MRI) is challenging since atrial borders are not easily distinguishable in the …
imaging (LGE-MRI) is challenging since atrial borders are not easily distinguishable in the …
Überatlas: fast and robust registration for multi-atlas segmentation
Multi-atlas segmentation has become a frequently used tool for medical image segmentation
due to its outstanding performance. A computational bottleneck is that all atlas images need …
due to its outstanding performance. A computational bottleneck is that all atlas images need …
Left atrial parameterisation and multi-modal data analysis: application to atrial fibrillation
M Núñez García - 2018 - investigacion.usc.es
Many aspects related to the pathogenesis and progression of atrial fibrillation (AF or AFib),
the most common type of arrhythmia, are still not fully understood. Besides, current AF …
the most common type of arrhythmia, are still not fully understood. Besides, current AF …
Shape-aware label fusion for multi-atlas frameworks
Despite of having no explicit shape model, multi-atlas approaches to image segmentation
have proved to be a top-performer for several diverse datasets and imaging modalities. In …
have proved to be a top-performer for several diverse datasets and imaging modalities. In …
Discriminative dimensionality reduction for patch-based label fusion
In this last decade, multiple-atlas segmentation (MAS) has emerged as a promising
technique for medical image segmentation. In MAS, a novel target image is segmented by …
technique for medical image segmentation. In MAS, a novel target image is segmented by …
Joint prediction and classification of brain image evolution trajectories from baseline brain image with application to early dementia
C Gafuroğlu, I Rekik… - … Image Computing and …, 2018 - Springer
Despite the large body of existing neuroimaging-based studies on brain dementia, in
particular mild cognitive impairment (MCI), modeling and predicting the early dynamics of …
particular mild cognitive impairment (MCI), modeling and predicting the early dynamics of …
[LLIBRE][B] Improving multi-atlas segmentation methods for medical images
J Alvén - 2017 - search.proquest.com
Semantic segmentation of organs or tissues, ie delineating anatomically or physiologically
meaningful boundaries, is an essential task in medical image analysis. One particular class …
meaningful boundaries, is an essential task in medical image analysis. One particular class …
Image evolution trajectory prediction and classification from baseline using learning-based patch atlas selection for early diagnosis
C Gafuroglu, I Rekik - arxiv preprint arxiv:1907.06064, 2019 - arxiv.org
Patients initially diagnosed with early mild cognitive impairment (eMCI) are known to be a
clinically heterogeneous group with very subtle patterns of brain atrophy. To examine the …
clinically heterogeneous group with very subtle patterns of brain atrophy. To examine the …