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Journal Abstract Search

304 related items for PubMed ID: 31085465

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  • 2. An automated tool for detection of FLAIR-hyperintense white-matter lesions in Multiple Sclerosis.
    Schmidt P, Gaser C, Arsic M, Buck D, Förschler A, Berthele A, Hoshi M, Ilg R, Schmid VJ, Zimmer C, Hemmer B, Mühlau M.
    Neuroimage; 2012 Feb 15; 59(4):3774-83. PubMed ID: 22119648
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  • 3. Automatic segmentation of white matter hyperintensities: validation and comparison with state-of-the-art methods on both Multiple Sclerosis and elderly subjects.
    Tran P, Thoprakarn U, Gourieux E, Dos Santos CL, Cavedo E, Guizard N, Cotton F, Krolak-Salmon P, Delmaire C, Heidelberg D, Pyatigorskaya N, Ströer S, Dormont D, Martini JB, Chupin M, Alzheimer's Disease Neuroimaging Initiatives, for the Frontotemporal Lobar Degeneration Neuroimaging Initiative.
    Neuroimage Clin; 2022 Feb 15; 33():102940. PubMed ID: 35051744
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  • 6. Fully automated longitudinal segmentation of new or enlarged multiple sclerosis lesions using 3D convolutional neural networks.
    Krüger J, Opfer R, Gessert N, Ostwaldt AC, Manogaran P, Kitzler HH, Schlaefer A, Schippling S.
    Neuroimage Clin; 2020 Feb 15; 28():102445. PubMed ID: 33038667
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  • 11. LST-AI: A deep learning ensemble for accurate MS lesion segmentation.
    Wiltgen T, McGinnis J, Schlaeger S, Kofler F, Voon C, Berthele A, Bischl D, Grundl L, Will N, Metz M, Schinz D, Sepp D, Prucker P, Schmitz-Koep B, Zimmer C, Menze B, Rueckert D, Hemmer B, Kirschke J, Mühlau M, Wiestler B.
    Neuroimage Clin; 2024 Feb 15; 42():103611. PubMed ID: 38703470
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