Zobrazeno 1 - 10
of 91
pro vyhledávání: '"Matthias, Wilms"'
Autor:
Catharina J. A. Romme, Emma A. M. Stanley, Pauline Mouches, Matthias Wilms, G. Bruce Pike, Luanne M. Metz, Nils D. Forkert
Publikováno v:
Frontiers in Neurology, Vol 15 (2024)
IntroductionThe rate of neurodegeneration in multiple sclerosis (MS) is an important biomarker for disease progression but can be challenging to quantify. The brain age gap, which quantifies the difference between a patient's chronological and their
Externí odkaz:
https://doaj.org/article/401f983d703e4c49923d99c9f040be23
Autor:
Milton Camacho, Matthias Wilms, Hannes Almgren, Kimberly Amador, Richard Camicioli, Zahinoor Ismail, Oury Monchi, Nils D. Forkert, For the Alzheimer’s Disease Neuroimaging Initiative
Publikováno v:
npj Parkinson's Disease, Vol 10, Iss 1, Pp 1-12 (2024)
Abstract Parkinson’s disease (PD) is the second most common neurodegenerative disease. Accurate PD diagnosis is crucial for effective treatment and prognosis but can be challenging, especially at early disease stages. This study aimed to develop an
Externí odkaz:
https://doaj.org/article/8da5db4b61c5422fab5a52810c745b6f
Autor:
Raissa Souza, Emma A. M. Stanley, Milton Camacho, Richard Camicioli, Oury Monchi, Zahinoor Ismail, Matthias Wilms, Nils D. Forkert
Publikováno v:
Frontiers in Artificial Intelligence, Vol 7 (2024)
Distributed learning is a promising alternative to central learning for machine learning (ML) model training, overcoming data-sharing problems in healthcare. Previous studies exploring federated learning (FL) or the traveling model (TM) setup for med
Externí odkaz:
https://doaj.org/article/29d7e62d83354025a6e62fa38cfd298f
Autor:
Jasmine A. Moore, Matthias Wilms, Alejandro Gutierrez, Zahinoor Ismail, Kayson Fakhar, Fatemeh Hadaeghi, Claus C. Hilgetag, Nils D. Forkert
Publikováno v:
Frontiers in Computational Neuroscience, Vol 17 (2023)
The aim of this work was to enhance the biological feasibility of a deep convolutional neural network-based in-silico model of neurodegeneration of the visual system by equipping it with a mechanism to simulate neuroplasticity. Therefore, deep convol
Externí odkaz:
https://doaj.org/article/954779599d5546d5bfa203136ecb585b
Publikováno v:
Heliyon, Vol 9, Iss 11, Pp e21567- (2023)
Although gray matter atrophy is commonly observed with aging, it is highly variable, even among healthy people of the same age. This raises the question of what other factors may contribute to gray matter atrophy. Previous studies have reported that
Externí odkaz:
https://doaj.org/article/c0a944e65ebb4528a36141d59a461769
Autor:
Milton Camacho, Matthias Wilms, Pauline Mouches, Hannes Almgren, Raissa Souza, Richard Camicioli, Zahinoor Ismail, Oury Monchi, Nils D. Forkert
Publikováno v:
NeuroImage: Clinical, Vol 38, Iss , Pp 103405- (2023)
Introduction: Parkinson’s disease (PD) is a severe neurodegenerative disease that affects millions of people. Early diagnosis is important to facilitate prompt interventions to slow down disease progression. However, accurate PD diagnosis can be ch
Externí odkaz:
https://doaj.org/article/5e32c920829c4d379105a5eba828ccd0
Publikováno v:
Frontiers in Neurology, Vol 13 (2022)
IntroductionThe difference between the chronological and biological brain age, called the brain age gap (BAG), has been identified as a promising biomarker to detect deviation from normal brain aging and to indicate the presence of neurodegenerative
Externí odkaz:
https://doaj.org/article/77bdcd84edca4095a07e01316f14304b
Autor:
Anthony J. Winder, Matthias Wilms, Kimberly Amador, Fabian Flottmann, Jens Fiehler, Nils D. Forkert
Publikováno v:
Frontiers in Neuroscience, Vol 16 (2022)
Predicting follow-up lesions from baseline CT perfusion (CTP) datasets in acute ischemic stroke patients is important for clinical decision making. Deep convolutional networks (DCNs) are assumed to be the current state-of-the-art for this task. Howev
Externí odkaz:
https://doaj.org/article/a46cd338126a4360ad24dcb233f2e99f
Autor:
Pauline Mouches, Matthias Wilms, Jordan J. Bannister, Agampreet Aulakh, Sönke Langner, Nils D. Forkert
Publikováno v:
Frontiers in Aging Neuroscience, Vol 14 (2022)
The brain age gap (BAG) has been shown to capture accelerated brain aging patterns and might serve as a biomarker for several neurological diseases. Moreover, it was also shown that it captures other biological information related to modifiable cardi
Externí odkaz:
https://doaj.org/article/c413c7e23d9342a896d48a3ff59baf58
Autor:
Alejandro Gutierrez, Anup Tuladhar, Matthias Wilms, Deepthi Rajashekar, Michael D. Hill, Andrew Demchuk, Mayank Goyal, Jens Fiehler, Nils D. Forkert
Publikováno v:
International Journal of Computer Assisted Radiology and Surgery. 18:827-836
Multiple medical imaging modalities are used for clinical follow-up ischemic stroke analysis. Mixed-modality datasets are challenging, both for clinical rating purposes and for training machine learning models. While image-to-image translation method
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e4cbf604a89a8f7b9c5b2eb765088ac6
https://doi.org/10.1007/s11548-022-02828-4
https://doi.org/10.1007/s11548-022-02828-4