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06/29/2022
Computer-aided diagnosis and prediction in brain disorders
Computer-aided methods have shown added value for diagnosing and predict...
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08/19/2021
Reproducible radiomics through automated machine learning validated on twelve clinical applications
Radiomics uses quantitative medical imaging features to predict clinical...
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12/28/2020
Longitudinal diffusion MRI analysis using Segis-Net: a single-step deep-learning framework for simultaneous segmentation and registration
This work presents a single-step deep-learning framework for longitudina...
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12/16/2020
Cross-Cohort Generalizability of Deep and Conventional Machine Learning for MRI-based Diagnosis and Prediction of Alzheimer's Disease
This work validates the generalizability of MRI-based classification of ...
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11/03/2020
Learning unbiased registration and joint segmentation: evaluation on longitudinal diffusion MRI
Analysis of longitudinal changes in imaging studies often involves both ...
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10/14/2020
Differential diagnosis and molecular stratification of gastrointestinal stromal tumors on CT images using a radiomics approach
Distinguishing gastrointestinal stromal tumors (GISTs) from other intra-...
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10/09/2020
WHO 2016 subtyping and automated segmentation of glioma using multi-task deep learning
Accurate characterization of glioma is crucial for clinical decision mak...
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10/03/2020
autoTICI: Automatic Brain Tissue Reperfusion Scoring on 2D DSA Images of Acute Ischemic Stroke Patients
The Thrombolysis in Cerebral Infarction (TICI) score is an important met...
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09/15/2020
Analyzing the effect of APOE on Alzheimer's disease progression using an event-based model for stratified populations
Alzheimer's disease (AD) is the most common form of dementia and is phen...
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05/26/2020
Neuro4Neuro: A neural network approach for neural tract segmentation using large-scale population-based diffusion imaging
Subtle changes in white matter (WM) microstructure have been associated ...
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05/13/2020
Towards segmentation and spatial alignment of the human embryonic brain using deep learning for atlas-based registration
We propose an unsupervised deep learning method for atlas based registra...
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07/29/2019
Automated Lesion Detection by Regressing Intensity-Based Distance with a Neural Network
Localization of focal vascular lesions on brain MRI is an important comp...
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03/08/2019
Event-Based Modeling with High-Dimensional Imaging Biomarkers for Estimating Spatial Progression of Dementia
Event-based models (EBM) are a class of disease progression models that ...
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10/23/2018
End-to-End Diagnosis and Segmentation Learning from Cardiac Magnetic Resonance Imaging
Cardiac magnetic resonance (CMR) is used extensively in the diagnosis an...
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08/10/2018
Disease Progression Timeline Estimation for Alzheimer's Disease using Discriminative Event Based Modeling
Alzheimer's Disease (AD) is characterized by a cascade of biomarkers bec...
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10/29/2017
A Fast, Accurate Two-Step Linear Mixed Model for Genetic Analysis Applied to Repeat MRI Measurements
Large-scale biobanks are being collected around the world in efforts to ...
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07/17/2017