Thomas Jubault
YOU?
Author Swipe
Clinical Phenotypes of Alzheimer’s Disease: Atrophy Patterns and their Pathological Correlates Open
Background Recent studies highlight distinct patterns of cortical atrophy between amnestic (typical) and non‐amnestic (atypical, with subtypes: behavioural, dysexecutive, logopenic and visuospatial) clinical phenotypes of Alzheimer’s disea…
Clinical Phenotypes of Alzheimer's Disease: Atrophy Patterns and their Pathological Correlates Open
Background Recent studies highlight distinct patterns of cortical atrophy between amnestic (typical) and non‐amnestic (atypical, with subtypes: behavioural, dysexecutive, logopenic and visuospatial) clinical phenotypes of Alzheimer’s disea…
Qypredict®: A promising prognostic tool for anti‐amyloid therapy patient prioritization Open
Background The approval of anti‐amyloid therapies has led to a breakthrough in the treatment of Alzheimer’s disease. However, given these treatments remain expensive and are associated with significant side effects, identifying patients th…
An automated pipeline for Centiloid quantification of amyloid‐β using multiple <sup>11</sup>C‐PiB‐PET and <sup>18</sup>F‐PET tracers Open
Background Quantitative measures of amyloid‐β (Aβ) pathology using positron emission tomography (PET) imaging are sensitive to identify pathological changes early in Alzheimer’s disease (AD). The Centiloid scale aims to standardize these i…
Clinical Phenotypes of Alzheimer’s Disease: Pathological Correlates of Regional Cortical Volume Open
Background Recent studies highlight distinct patterns of cortical atrophy in amnestic (typical) and non‐amnestic (atypical – behavioural, dysexecutive and visuospatial) clinical phenotypes of Alzheimer’s disease (AD). The current study aim…
QyPredict prognostic model enriches selection for faster decliners in mild cognitive impairment Open
Background The suboptimal selection of patients is a key challenge for disease‐modifying trials in mild cognitive impairment (MCI) and Alzheimer’s disease. Improved selection strategies are urgently needed to better power trials. Recent ad…
Validation of QyScore’s® fully automated quantitative image segmentation tools against expert manual gold‐standards Open
Background Quantitative imaging provides valuable information for early detection, disease progression and treatment response monitoring. Manual segmentation is the current gold‐standard, but is prohibitively labour‐intensive for large sca…
Validation of QyScore’s® fully automated quantitative image segmentation tools against expert manual gold‐standards Open
Background Quantitative imaging provides valuable information for early detection, disease progression and treatment response monitoring. Manual segmentation is the current gold‐standard, but is prohibitively labour‐intensive for large sca…
An automated pipeline for Centiloid quantification of amyloid‐β using multiple 11C‐PiB‐PET and 18F‐PET tracers Open
Background Quantitative measures of amyloid‐ß (Aß) pathology using positron emission tomography (PET) imaging are sensitive to identify pathological changes early in Alzheimer’s disease (AD). The Centiloid scale aims to standardize these i…
QyPredict prognostic model enriches selection for faster decliners in mild cognitive impairment Open
Background The suboptimal selection of patients is a key challenge for disease‐modifying trials in mild cognitive impairment (MCI) and Alzheimer’s disease. Improved selection strategies are urgently needed to better power trials. Recent ad…
View article: Deep learning, data ramping, and uncertainty estimation for detecting artifacts in large, imbalanced databases of MRI images
Deep learning, data ramping, and uncertainty estimation for detecting artifacts in large, imbalanced databases of MRI images Open
Magnetic resonance imaging (MRI) is increasingly being used to delineate morphological changes underlying neurological disorders. Successfully detecting these changes depends on the MRI data quality. Unfortunately, image artifacts frequent…