Wiro J. Niessen

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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...
12/28/2020 ∙ by Bo Li, et al. ∙ 7 ∙ share

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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 ...
12/16/2020 ∙ by Esther E. Bron, et al. ∙ 39 ∙ share

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Learning unbiased registration and joint segmentation: evaluation on longitudinal diffusion MRI

Analysis of longitudinal changes in imaging studies often involves both ...
11/03/2020 ∙ by Bo Li, et al. ∙ 0 ∙ share

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Differential diagnosis and molecular stratification of gastrointestinal stromal tumors on CT images using a radiomics approach

Distinguishing gastrointestinal stromal tumors (GISTs) from other intra-...
10/14/2020 ∙ by Martijn P. A. Starmans, et al. ∙ 0 ∙ share

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WHO 2016 subtyping and automated segmentation of glioma using multi-task deep learning

Accurate characterization of glioma is crucial for clinical decision mak...
10/09/2020 ∙ by Sebastian R. van der Voort, et al. ∙ 0 ∙ share

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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...
10/03/2020 ∙ by Ruisheng Su, et al. ∙ 0 ∙ share

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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...
09/15/2020 ∙ by Vikram Venkatraghavan, et al. ∙ 0 ∙ share

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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 ...
05/26/2020 ∙ by Bo Li, et al. ∙ 0 ∙ share

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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...
05/13/2020 ∙ by Wietske A. P. Bastiaansen, et al. ∙ 0 ∙ share

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Automated Lesion Detection by Regressing Intensity-Based Distance with a Neural Network

Localization of focal vascular lesions on brain MRI is an important comp...
07/29/2019 ∙ by Kimberlin M. H. van Wijnen, et al. ∙ 0 ∙ share

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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 ...
03/08/2019 ∙ by Vikram Venkatraghavan, et al. ∙ 0 ∙ share

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End-to-End Diagnosis and Segmentation Learning from Cardiac Magnetic Resonance Imaging

Cardiac magnetic resonance (CMR) is used extensively in the diagnosis an...
10/23/2018 ∙ by Gerard Snaauw, et al. ∙ 4 ∙ share

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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...
08/10/2018 ∙ by Vikram Venkatraghavan, et al. ∙ 0 ∙ share

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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 ...
10/29/2017 ∙ by Qifan Yang, et al. ∙ 0 ∙ share

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Fully Automatic and Real-Time Catheter Segmentation in X-Ray Fluoroscopy

Augmenting X-ray imaging with 3D roadmap to improve guidance is a common...
07/17/2017 ∙ by Pierre Ambrosini, et al. ∙ 0 ∙ share

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