Hasil Pencarian - Matthias Wilms

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  1. 1
    Multimodal brain age prediction fusing morphometric and imaging data and association with cardiovascular risk factors

    Multimodal brain age prediction fusing morphometric and imaging data and association with cardiovascular risk factors oleh Pauline Mouches, Pauline Mouches, Pauline Mouches, Matthias Wilms, Matthias Wilms, Matthias Wilms, Agampreet Aulakh, Sönke Langner, Nils D. Forkert, Nils D. Forkert, Nils D. Forkert

    Diterbitkan 2022-12-01
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  2. 2
    Semantically Guided Large Deformation Estimation with Deep Networks

    Semantically Guided Large Deformation Estimation with Deep Networks oleh In Young Ha, Matthias Wilms, Mattias Heinrich

    Diterbitkan 2020-03-01
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  3. 3
    The causal link between cardiometabolic risk factors and gray matter atrophy: An exploratory study

    The causal link between cardiometabolic risk factors and gray matter atrophy: An exploratory study oleh Vibujithan Vigneshwaran, Matthias Wilms, Nils D. Forkert

    Diterbitkan 2023-11-01
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  4. 4
    Predicting the tissue outcome of acute ischemic stroke from acute 4D computed tomography perfusion imaging using temporal features and deep learning

    Predicting the tissue outcome of acute ischemic stroke from acute 4D computed tomography perfusion imaging using temporal features and deep learning oleh Anthony J. Winder, Anthony J. Winder, Matthias Wilms, Matthias Wilms, Matthias Wilms, Kimberly Amador, Kimberly Amador, Fabian Flottmann, Jens Fiehler, Nils D. Forkert, Nils D. Forkert, Nils D. Forkert, Nils D. Forkert

    Diterbitkan 2022-11-01
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  5. 5
    Analysis and visualization of the effect of multiple sclerosis on biological brain age

    Analysis and visualization of the effect of multiple sclerosis on biological brain age oleh Catharina J. A. Romme, Emma A. M. Stanley, Pauline Mouches, Matthias Wilms, Matthias Wilms, Matthias Wilms, Matthias Wilms, G. Bruce Pike, G. Bruce Pike, G. Bruce Pike, Luanne M. Metz, Luanne M. Metz, Nils D. Forkert, Nils D. Forkert, Nils D. Forkert, Nils D. Forkert

    Diterbitkan 2024-10-01
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  6. 6
    An exploratory causal analysis of the relationships between the brain age gap and cardiovascular risk factors

    An exploratory causal analysis of the relationships between the brain age gap and cardiovascular risk factors oleh Pauline Mouches, Pauline Mouches, Pauline Mouches, Matthias Wilms, Matthias Wilms, Matthias Wilms, Jordan J. Bannister, Jordan J. Bannister, Jordan J. Bannister, Agampreet Aulakh, Sönke Langner, Nils D. Forkert, Nils D. Forkert, Nils D. Forkert

    Diterbitkan 2022-08-01
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  7. 7
    An Analysis of the Vulnerability of Two Common Deep Learning-Based Medical Image Segmentation Techniques to Model Inversion Attacks

    An Analysis of the Vulnerability of Two Common Deep Learning-Based Medical Image Segmentation Techniques to Model Inversion Attacks oleh Nagesh Subbanna, Matthias Wilms, Anup Tuladhar, Nils D. Forkert

    Diterbitkan 2021-06-01
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  8. 8
    Treatment Efficacy Analysis in Acute Ischemic Stroke Patients Using In Silico Modeling Based on Machine Learning: A Proof-of-Principle

    Treatment Efficacy Analysis in Acute Ischemic Stroke Patients Using In Silico Modeling Based on Machine Learning: A Proof-of-Principle oleh Anthony Winder, Matthias Wilms, Jens Fiehler, Nils D. Forkert

    Diterbitkan 2021-09-01
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  9. 9
    Simulation of neuroplasticity in a CNN-based in-silico model of neurodegeneration of the visual system

    Simulation of neuroplasticity in a CNN-based in-silico model of neurodegeneration of the visual system oleh Jasmine A. Moore, Jasmine A. Moore, Jasmine A. Moore, Matthias Wilms, Matthias Wilms, Matthias Wilms, Alejandro Gutierrez, Alejandro Gutierrez, Alejandro Gutierrez, Zahinoor Ismail, Zahinoor Ismail, Kayson Fakhar, Fatemeh Hadaeghi, Claus C. Hilgetag, Claus C. Hilgetag, Nils D. Forkert, Nils D. Forkert, Nils D. Forkert

    Diterbitkan 2023-12-01
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  10. 10
    The Impact of Covariates in Voxel-Wise Lesion-Symptom Mapping

    The Impact of Covariates in Voxel-Wise Lesion-Symptom Mapping oleh Deepthi Rajashekar, Deepthi Rajashekar, Matthias Wilms, Matthias Wilms, Kent G. Hecker, Michael D. Hill, Sean Dukelow, Jens Fiehler, Nils D. Forkert, Nils D. Forkert, Nils D. Forkert, Nils D. Forkert

    Diterbitkan 2020-08-01
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  11. 11
    A multi-center distributed learning approach for Parkinson's disease classification using the traveling model paradigm

    A multi-center distributed learning approach for Parkinson's disease classification using the traveling model paradigm oleh Raissa Souza, Raissa Souza, Raissa Souza, Raissa Souza, Emma A. M. Stanley, Emma A. M. Stanley, Emma A. M. Stanley, Emma A. M. Stanley, Milton Camacho, Milton Camacho, Milton Camacho, Milton Camacho, Richard Camicioli, Oury Monchi, Oury Monchi, Oury Monchi, Oury Monchi, Oury Monchi, Zahinoor Ismail, Zahinoor Ismail, Zahinoor Ismail, Zahinoor Ismail, Matthias Wilms, Matthias Wilms, Matthias Wilms, Matthias Wilms, Nils D. Forkert, Nils D. Forkert, Nils D. Forkert, Nils D. Forkert

    Diterbitkan 2024-02-01
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  12. 12
    Explainable classification of Parkinson’s disease using deep learning trained on a large multi-center database of T1-weighted MRI datasets

    Explainable classification of Parkinson’s disease using deep learning trained on a large multi-center database of T1-weighted MRI datasets oleh Milton Camacho, Matthias Wilms, Pauline Mouches, Hannes Almgren, Raissa Souza, Richard Camicioli, Zahinoor Ismail, Oury Monchi, Nils D. Forkert

    Diterbitkan 2023-01-01
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  13. 13
    Lesion-symptom mapping with NIHSS sub-scores in ischemic stroke patients

    Lesion-symptom mapping with NIHSS sub-scores in ischemic stroke patients oleh Michael D Hill, Mayank Goyal, Andrew Demchuk, Nils Daniel Forkert, Deepthi Rajashekar, Matthias Wilms, M Ethan MacDonald, Serena Schimert

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  14. 14
    Exploiting macro- and micro-structural brain changes for improved Parkinson’s disease classification from MRI data

    Exploiting macro- and micro-structural brain changes for improved Parkinson’s disease classification from MRI data oleh Milton Camacho, Matthias Wilms, Hannes Almgren, Kimberly Amador, Richard Camicioli, Zahinoor Ismail, Oury Monchi, Nils D. Forkert, For the Alzheimer’s Disease Neuroimaging Initiative

    Diterbitkan 2024-02-01
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  15. 15
    Fully Automatic Landmarking of Syndromic 3D Facial Surface Scans Using 2D Images

    Fully Automatic Landmarking of Syndromic 3D Facial Surface Scans Using 2D Images oleh Jordan J. Bannister, Sebastian R. Crites, J. David Aponte, David C. Katz, Matthias Wilms, Ophir D. Klein, Francois P. J. Bernier, Richard A. Spritz, Benedikt Hallgrímsson, Nils D. Forkert

    Diterbitkan 2020-06-01
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