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Semantically Guided Large Deformation Estimation with Deep Networks

Sensors (Basel, Switzerland), 2020-03, Vol.20 (5), p.1392

2020

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An Analysis of the Vulnerability of Two Common Deep Learning-Based Medical Image Segmentation Techniques to Model Inversion Attacks

Sensors (Basel, Switzerland), 2021-06, Vol.21 (11), p.3874

2021

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Predicting the tissue outcome of acute ischemic stroke from acute 4D computed tomography perfusion imaging using temporal features and deep learning

Frontiers in neuroscience, 2022-11, Vol.16, p.1009654

2022

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The causal link between cardiometabolic risk factors and gray matter atrophy: An exploratory study

Heliyon, 2023-11, Vol.9 (11), p.e21567-e21567, Article e21567

2023

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Explainable classification of Parkinson’s disease using deep learning trained on a large multi-center database of T1-weighted MRI datasets

NeuroImage clinical, 2023-01, Vol.38, p.103405-103405, Article 103405

2023

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A systematic comparison of generative models for medical images

International journal for computer assisted radiology and surgery, 2022-07, Vol.17 (7), p.1213-1224

2022

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Multimodal brain age prediction fusing morphometric and imaging data and association with cardiovascular risk factors

Frontiers in neurology, 2022-12, Vol.13, p.979774-979774

2022

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An exploratory causal analysis of the relationships between the brain age gap and cardiovascular risk factors

Frontiers in aging neuroscience, 2022-08, Vol.14, p.941864-941864

2022

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Fully Automatic Landmarking of Syndromic 3D Facial Surface Scans Using 2D Images

Sensors (Basel, Switzerland), 2020-06, Vol.20 (11), p.3171

2020

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High-resolution T2-FLAIR and non-contrast CT brain atlas of the elderly

Scientific data, 2020-02, Vol.7 (1), p.56-56, Article 56

2020

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Lesion-preserving unpaired image-to-image translation between MRI and CT from ischemic stroke patients

International journal for computer assisted radiology and surgery, 2023-05, Vol.18 (5), p.827-836

2023

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Simulation of neuroplasticity in a CNN-based in-silico model of neurodegeneration of the visual system

Frontiers in computational neuroscience, 2023-12, Vol.17, p.1274824-1274824

2023

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Treatment Efficacy Analysis in Acute Ischemic Stroke Patients Using In Silico Modeling Based on Machine Learning: A Proof-of-Principle

Biomedicines, 2021-09, Vol.9 (10), p.1357

2021

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Exploiting macro- and micro-structural brain changes for improved Parkinson's disease classification from MRI data

NPJ Parkinson's Disease, 2024-02, Vol.10 (1), p.43-43, Article 43

2024

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Lesion-symptom mapping with NIHSS sub-scores in ischemic stroke patients

Stroke and vascular neurology, 2022-04, Vol.7 (2), p.124-131

2022

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A multi-center distributed learning approach for Parkinson's disease classification using the traveling model paradigm

Frontiers in artificial intelligence, 2024-02, Vol.7, p.1301997-1301997

2024

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The Impact of Covariates in Voxel-Wise Lesion-Symptom Mapping

Frontiers in neurology, 2020-08, Vol.11, p.854-854

2020

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Multi-resolution multi-object statistical shape models based on the locality assumption

Medical image analysis, 2017-05, Vol.38, p.17-29

2017

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Multimodal biological brain age prediction using magnetic resonance imaging and angiography with the identification of predictive regions

Human brain mapping, 2022-06, Vol.43 (8), p.2554-2566

2022

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Model-Based Sparse-to-Dense Image Registration for Realtime Respiratory Motion Estimation in Image-Guided Interventions

IEEE transactions on biomedical engineering, 2019-02, Vol.66 (2), p.302-310

2019

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Foundation model-driven distributed learning for enhanced retinal age prediction

Journal of the American Medical Informatics Association : JAMIA, 2024-09

2024

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Localized Statistical Shape Models for Large-Scale Problems With Few Training Data

IEEE transactions on biomedical engineering, 2022-09, Vol.69 (9), p.2947-2957

2022

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Predicting treatment-specific lesion outcomes in acute ischemic stroke from 4D CT perfusion imaging using spatio-temporal convolutional neural networks

Medical image analysis, 2022-11, Vol.82, p.102610-102610, Article 102610

2022

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Image-encoded biological and non-biological variables may be used as shortcuts in deep learning models trained on multisite neuroimaging data

Journal of the American Medical Informatics Association : JAMIA, 2023-11, Vol.30 (12), p.1925-1933

2023

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Providing clinical context to the spatio-temporal analysis of 4D CT perfusion to predict acute ischemic stroke lesion outcomes

Journal of biomedical informatics, 2024-01, Vol.149, p.104567-104567, Article 104567

2024

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Semantically Guided Large Deformation Estimation with Deep Networks

An Analysis of the Vulnerability of Two Common Deep Learning-Based Medical Image Segmentation Techniques to Model Inversion Attacks

Predicting the tissue outcome of acute ischemic stroke from acute 4D computed tomography perfusion imaging using temporal features and deep learning

The causal link between cardiometabolic risk factors and gray matter atrophy: An exploratory study

Explainable classification of Parkinson’s disease using deep learning trained on a large multi-center database of T1-weighted MRI datasets

A systematic comparison of generative models for medical images

Multimodal brain age prediction fusing morphometric and imaging data and association with cardiovascular risk factors

An exploratory causal analysis of the relationships between the brain age gap and cardiovascular risk factors

Fully Automatic Landmarking of Syndromic 3D Facial Surface Scans Using 2D Images

High-resolution T2-FLAIR and non-contrast CT brain atlas of the elderly

Lesion-preserving unpaired image-to-image translation between MRI and CT from ischemic stroke patients

Simulation of neuroplasticity in a CNN-based in-silico model of neurodegeneration of the visual system

Treatment Efficacy Analysis in Acute Ischemic Stroke Patients Using In Silico Modeling Based on Machine Learning: A Proof-of-Principle

Exploiting macro- and micro-structural brain changes for improved Parkinson's disease classification from MRI data

Lesion-symptom mapping with NIHSS sub-scores in ischemic stroke patients

A multi-center distributed learning approach for Parkinson's disease classification using the traveling model paradigm

The Impact of Covariates in Voxel-Wise Lesion-Symptom Mapping

Multi-resolution multi-object statistical shape models based on the locality assumption

Multimodal biological brain age prediction using magnetic resonance imaging and angiography with the identification of predictive regions

Model-Based Sparse-to-Dense Image Registration for Realtime Respiratory Motion Estimation in Image-Guided Interventions

Foundation model-driven distributed learning for enhanced retinal age prediction

Localized Statistical Shape Models for Large-Scale Problems With Few Training Data

Predicting treatment-specific lesion outcomes in acute ischemic stroke from 4D CT perfusion imaging using spatio-temporal convolutional neural networks

Image-encoded biological and non-biological variables may be used as shortcuts in deep learning models trained on multisite neuroimaging data

Providing clinical context to the spatio-temporal analysis of 4D CT perfusion to predict acute ischemic stroke lesion outcomes

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