Хайлтын үр дүнгүүд - Nils D. Forkert

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  1. 1
    A statistical atlas of cerebral arteries generated using multi-center MRA datasets from healthy subjects

    A statistical atlas of cerebral arteries generated using multi-center MRA datasets from healthy subjects -н Pauline Mouchès, Nils D. Forkert

    Хэвлэсэн 2019
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  2. 2
    Building an Otoscopic screening prototype tool using deep learning

    Building an Otoscopic screening prototype tool using deep learning -н Devon Livingstone, Aron Sahand Talai, Justin Chau, Nils D. Forkert

    Хэвлэсэн 2019
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  3. 3
    Utility of Multi-Modal MRI for Differentiating of Parkinson's Disease and Progressive Supranuclear Palsy Using Machine Learning

    Utility of Multi-Modal MRI for Differentiating of Parkinson's Disease and Progressive Supranuclear Palsy Using Machine Learning -н Aron Sahand Talai, Jan Sedlacik, Kai Boelmans, Nils D. Forkert

    Хэвлэсэн 2021
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  4. 4
    Classifiers for Ischemic Stroke Lesion Segmentation: A Comparison Study

    Classifiers for Ischemic Stroke Lesion Segmentation: A Comparison Study -н Oskar Maier, Christoph Schröder, Nils D. Forkert, Thomas Martinetz, Heinz Handels

    Хэвлэсэн 2015
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  5. 5
    Multimodal biological brain age prediction using magnetic resonance imaging and angiography with the identification of predictive regions

    Multimodal biological brain age prediction using magnetic resonance imaging and angiography with the identification of predictive regions -н Pauline Mouchès, Matthias Wilms, Deepthi Rajashekar, Sönke Langner, Nils D. Forkert

    Хэвлэсэн 2022
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  6. 6
    Multiclass Support Vector Machine-Based Lesion Mapping Predicts Functional Outcome in Ischemic Stroke Patients

    Multiclass Support Vector Machine-Based Lesion Mapping Predicts Functional Outcome in Ischemic Stroke Patients -н Nils D. Forkert, Tobias Verleger, Bastian Cheng, Götz Thomalla, Claus C. Hilgetag, Jens Fiehler

    Хэвлэсэн 2015
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  7. 7
    Apathy and <i>APOE</i> in mild behavioral impairment, and risk for incident dementia

    Apathy and <i>APOE</i> in mild behavioral impairment, and risk for incident dementia -н Daniella Vellone, Maryam Ghahremani, Zahra Goodarzi, Nils D. Forkert, Eric E. Smith, Zahinoor Ismail

    Хэвлэсэн 2022
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  8. 8
    Brain Aging in Patients With Cardiovascular Disease From the <scp>UK</scp> Biobank

    Brain Aging in Patients With Cardiovascular Disease From the <scp>UK</scp> Biobank -н Elizabeth McAvoy, Emma A. M. Stanley, Anthony Winder, Matthias Wilms, Nils D. Forkert

    Хэвлэсэн 2025
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  9. 9
    A methodology for generating four-dimensional arterial spin labeling MR angiography virtual phantoms

    A methodology for generating four-dimensional arterial spin labeling MR angiography virtual phantoms -н Renzo Phellan, Thomas Lindner, Michael Helle, Alexandre X. Falcão, Thomas W. Okell, Nils D. Forkert

    Хэвлэсэн 2019
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  10. 10
    Mild Behavioral Impairment and Subjective Cognitive Decline Predict Cognitive and Functional Decline

    Mild Behavioral Impairment and Subjective Cognitive Decline Predict Cognitive and Functional Decline -н Zahinoor Ismail, Alexander McGirr, Sascha Gill, Sophie Hu, Nils D. Forkert, Eric E. Smith

    Хэвлэсэн 2021
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  11. 11
    Metabolic activity in subcallosal cingulate predicts response to deep brain stimulation for depression

    Metabolic activity in subcallosal cingulate predicts response to deep brain stimulation for depression -н Elliot C. Brown, Darren L. Clark, Nils D. Forkert, Christine Molnar, Zelma H. T. Kiss, Rajamannar Ramasubbu

    Хэвлэсэн 2020
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  12. 12
    Machine learning-based prediction of longitudinal cognitive decline in early Parkinson’s disease using multimodal features

    Machine learning-based prediction of longitudinal cognitive decline in early Parkinson’s disease using multimodal features -н Hannes Almgren, Milton Camacho, Alexandru Hanganu, Mekale Kibreab, Richard Camicioli, Zahinoor Ismail, Nils D. Forkert, Oury Monchi

    Хэвлэсэн 2023
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  13. 13
    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 -н Milton Camacho, Matthias Wilms, Hannes Almgren, Kimberly Amador, Richard Camicioli, Zahinoor Ismail, Oury Monchi, Nils D. Forkert

    Хэвлэсэн 2024
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  14. 14
    Towards objective and systematic evaluation of bias in artificial intelligence for medical imaging

    Towards objective and systematic evaluation of bias in artificial intelligence for medical imaging -н Emma A. M. Stanley, Raissa Souza, Anthony Winder, Vedant Gulve, Kimberly Amador, Matthias Wilms, Nils D. Forkert

    Хэвлэсэн 2024
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  15. 15
    Central nervous system targeted autoimmunity causes regional atrophy: a 9.4T MRI study of the EAE mouse model of Multiple Sclerosis

    Central nervous system targeted autoimmunity causes regional atrophy: a 9.4T MRI study of the EAE mouse model of Multiple Sclerosis -н Alastair Hamilton, Nils D. Forkert, Runze Yang, Ying Wu, James A. Rogers, V. Wee Yong, Jeff F. Dunn

    Хэвлэсэн 2019
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  16. 16
    Dementia risk prediction in individuals with mild cognitive impairment: a comparison of Cox regression and machine learning models

    Dementia risk prediction in individuals with mild cognitive impairment: a comparison of Cox regression and machine learning models -н Meng Wang, Matthew Greenberg, Nils D. Forkert, Thierry Chekouo, Gabriel Afriyie, Zahinoor Ismail, Eric E. Smith, Tolulope T. Sajobi

    Хэвлэсэн 2022
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  17. 17
    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 -н Milton Camacho, Matthias Wilms, Pauline Mouchès, Hannes Almgren, Raissa Souza, Richard Camicioli, Zahinoor Ismail, Oury Monchi, Nils D. Forkert

    Хэвлэсэн 2023
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  18. 18
    Segmentation-based blood flow parameter refinement in cerebrovascular structures using 4D arterial spin labeling MRA

    Segmentation-based blood flow parameter refinement in cerebrovascular structures using 4D arterial spin labeling MRA -н Renzo Phellan, Thomas Lindner, Michael Helle, Alexandre X. Falcão, Clarissa Lin Yasuda, Magdalena Sokolska, Hans Rolf Jäger, Nils D. Forkert

    Хэвлэсэн 2019
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  19. 19
    Using Machine Learning to Predict Dementia from Neuropsychiatric Symptom and Neuroimaging Data

    Using Machine Learning to Predict Dementia from Neuropsychiatric Symptom and Neuroimaging Data -н Sascha Gill, Pauline Mouchès, Sophie Hu, Deepthi Rajashekar, Frank P. MacMaster, Eric E. Smith, Nils D. Forkert, Zahinoor Ismail

    Хэвлэсэн 2020
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  20. 20
    Self-supervised-RCNN for medical image segmentation with limited data annotation

    Self-supervised-RCNN for medical image segmentation with limited data annotation -н Banafshe Felfeliyan, Nils D. Forkert, Abhilash Rakkunedeth Hareendranathan, David Cornel, Yuyue Zhou, Gregor Kuntze, Jacob L. Jaremko, Janet L. Ronsky

    Хэвлэсэн 2023
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