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Journal Abstract Search

217 related items for PubMed ID: 35083815

  • 1. Automatic deep learning multicontrast corpus callosum segmentation in multiple sclerosis.
    Brusini I, Platten M, Ouellette R, Piehl F, Wang C, Granberg T.
    J Neuroimaging; 2022 May; 32(3):459-470. PubMed ID: 35083815
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  • 2. Deep Learning Corpus Callosum Segmentation as a Neurodegenerative Marker in Multiple Sclerosis.
    Platten M, Brusini I, Andersson O, Ouellette R, Piehl F, Wang C, Granberg T.
    J Neuroimaging; 2021 May; 31(3):493-500. PubMed ID: 33587820
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  • 3. MRI-Based Manual versus Automated Corpus Callosum Volumetric Measurements in Multiple Sclerosis.
    Platten M, Martola J, Fink K, Ouellette R, Piehl F, Granberg T.
    J Neuroimaging; 2020 Mar; 30(2):198-204. PubMed ID: 31750599
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  • 4. MRI-Defined Corpus Callosal Atrophy in Multiple Sclerosis: A Comparison of Volumetric Measurements, Corpus Callosum Area and Index.
    Granberg T, Bergendal G, Shams S, Aspelin P, Kristoffersen-Wiberg M, Fredrikson S, Martola J.
    J Neuroimaging; 2015 Mar; 25(6):996-1001. PubMed ID: 25786805
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  • 5. Accurate, rapid and reliable, fully automated MRI brainstem segmentation for application in multiple sclerosis and neurodegenerative diseases.
    Sander L, Pezold S, Andermatt S, Amann M, Meier D, Wendebourg MJ, Sinnecker T, Radue EW, Naegelin Y, Granziera C, Kappos L, Wuerfel J, Cattin P, Schlaeger R, Alzheimer's Disease Neuroimaging Initiative.
    Hum Brain Mapp; 2019 Oct 01; 40(14):4091-4104. PubMed ID: 31206931
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  • 9. Reliability of measuring regional callosal atrophy in neurodegenerative diseases.
    Van Schependom J, Jain S, Cambron M, Vanbinst AM, De Mey J, Smeets D, Nagels G.
    Neuroimage Clin; 2016 Oct 01; 12():825-831. PubMed ID: 27830115
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  • 10. Enhanced choroid plexus segmentation with 3D UX-Net and its association with disease progression in multiple sclerosis.
    Wang X, Wang X, Yan Z, Yin F, Li Y, Liu X, Liu Y.
    Mult Scler Relat Disord; 2024 Aug 01; 88():105750. PubMed ID: 38986172
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  • 12. Deep learning segmentation of the choroid plexus from structural magnetic resonance imaging (MRI): validation and normative ranges across the adult lifespan.
    Eisma JJ, McKnight CD, Hett K, Elenberger J, Han CJ, Song AK, Considine C, Claassen DO, Donahue MJ.
    Fluids Barriers CNS; 2024 Feb 29; 21(1):21. PubMed ID: 38424598
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  • 14. Fully Automated Hippocampus Segmentation using T2-informed Deep Convolutional Neural Networks.
    Sackl M, Tinauer C, Urschler M, Enzinger C, Stollberger R, Ropele S.
    Neuroimage; 2024 Sep 29; 298():120767. PubMed ID: 39103064
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  • 15. Automated analysis of cardiovascular magnetic resonance myocardial native T1 mapping images using fully convolutional neural networks.
    Fahmy AS, El-Rewaidy H, Nezafat M, Nakamori S, Nezafat R.
    J Cardiovasc Magn Reson; 2019 Jan 14; 21(1):7. PubMed ID: 30636630
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  • 17. Cortical and white matter lesion topology influences focal corpus callosum atrophy in multiple sclerosis.
    Platten M, Ouellette R, Herranz E, Barletta V, Treaba CA, Mainero C, Granberg T.
    J Neuroimaging; 2022 May 14; 32(3):471-479. PubMed ID: 35165979
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  • 18. Validity of automated FreeSurfer segmentation compared to manual tracing in detecting prenatal alcohol exposure-related subcortical and corpus callosal alterations in 9- to 11-year-old children.
    Biffen SC, Warton CMR, Dodge NC, Molteno CD, Jacobson JL, Jacobson SW, Meintjes EM.
    Neuroimage Clin; 2020 May 14; 28():102368. PubMed ID: 32791491
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  • 20. Automatic segmentation of the spinal cord and intramedullary multiple sclerosis lesions with convolutional neural networks.
    Gros C, De Leener B, Badji A, Maranzano J, Eden D, Dupont SM, Talbott J, Zhuoquiong R, Liu Y, Granberg T, Ouellette R, Tachibana Y, Hori M, Kamiya K, Chougar L, Stawiarz L, Hillert J, Bannier E, Kerbrat A, Edan G, Labauge P, Callot V, Pelletier J, Audoin B, Rasoanandrianina H, Brisset JC, Valsasina P, Rocca MA, Filippi M, Bakshi R, Tauhid S, Prados F, Yiannakas M, Kearney H, Ciccarelli O, Smith S, Treaba CA, Mainero C, Lefeuvre J, Reich DS, Nair G, Auclair V, McLaren DG, Martin AR, Fehlings MG, Vahdat S, Khatibi A, Doyon J, Shepherd T, Charlson E, Narayanan S, Cohen-Adad J.
    Neuroimage; 2019 Jan 01; 184():901-915. PubMed ID: 30300751
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