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09/06/2023
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 neur...
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04/13/2023
Brain Structure Ages – A new biomarker for multi-disease classification
Age is an important variable to describe the expected brain's anatomy st...
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11/28/2022
Deep Grading based on Collective Artificial Intelligence for AD Diagnosis and Prognosis
Accurate diagnosis and prognosis of Alzheimer's disease are crucial to d...
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11/25/2022
Deep grading for MRI-based differential diagnosis of Alzheimer's disease and Frontotemporal dementia
Alzheimer's disease and Frontotemporal dementia are common forms of neur...
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06/16/2022
Longitudinal detection of new MS lesions using Deep Learning
The detection of new multiple sclerosis (MS) lesions is an important mar...
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06/15/2022
Interpretable differential diagnosis for Alzheimer's disease and Frontotemporal dementia
Alzheimer's disease and Frontotemporal dementia are two major types of d...
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06/07/2022
Towards better Interpretable and Generalizable AD detection using Collective Artificial Intelligence
Accurate diagnosis and prognosis of Alzheimer's disease are crucial for ...
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09/20/2021
Deep Anomaly Generation: An Image Translation Approach of Synthesizing Abnormal Banded Chromosome Images
Advances in deep-learning-based pipelines have led to breakthroughs in a...
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09/13/2021
POPCORN: Progressive Pseudo-labeling with Consistency Regularization and Neighboring
Semi-supervised learning (SSL) uses unlabeled data to compensate for the...
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12/14/2020
Towards broader generalization of deep learning methods for multiple sclerosis lesion segmentation
Recently, segmentation methods based on Convolutional Neural Networks (C...
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11/10/2020
Deep correction of breathing-related artifacts in MR-thermometry
Real-time MR-imaging has been clinically adapted for monitoring thermal ...
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05/14/2020
RegQCNET: Deep Quality Control for Image-to-template Brain MRI Registration
Registration of one or several brain image(s) onto a common reference sp...
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03/19/2020
Accuracy of MRI Classification Algorithms in a Tertiary Memory Center Clinical Routine Cohort
BACKGROUND:Automated volumetry software (AVS) has recently become widely...
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01/23/2020
Tensor-Based Grading: A Novel Patch-Based Grading Approach for the Analysis of Deformation Fields in Huntington's Disease
The improvements in magnetic resonance imaging have led to the developme...
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11/20/2019
AssemblyNet: A large ensemble of CNNs for 3D Whole Brain MRI Segmentation
Whole brain segmentation using deep learning (DL) is a very challenging ...
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07/15/2019
Multi-scale Graph-based Grading for Alzheimer's Disease Prediction
The prediction of subjects with mild cognitive impairment (MCI) who will...
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06/05/2019
AssemblyNet: A Novel Deep Decision-Making Process for Whole Brain MRI Segmentation
Whole brain segmentation using deep learning (DL) is a very challenging ...
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03/17/2019
SuperPatchMatch: an Algorithm for Robust Correspondences using Superpixel Patches
Superpixels have become very popular in many computer vision application...
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03/17/2019
An Optimized PatchMatch for Multi-scale and Multi-feature Label Fusion
Automatic segmentation methods are important tools for quantitative anal...
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07/06/2018
Graph of brain structures grading for early detection of Alzheimer's disease
Alzheimer's disease is the most common dementia leading to an irreversib...
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06/23/2016