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Journal Abstract Search

235 related items for PubMed ID: 39103064

  • 1. 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; 298():120767. PubMed ID: 39103064
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  • 2. Multi-atlas segmentation of the whole hippocampus and subfields using multiple automatically generated templates.
    Pipitone J, Park MT, Winterburn J, Lett TA, Lerch JP, Pruessner JC, Lepage M, Voineskos AN, Chakravarty MM, Alzheimer's Disease Neuroimaging Initiative.
    Neuroimage; 2014 Nov 01; 101():494-512. PubMed ID: 24784800
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  • 3. CAST: A multi-scale convolutional neural network based automated hippocampal subfield segmentation toolbox.
    Yang Z, Zhuang X, Mishra V, Sreenivasan K, Cordes D.
    Neuroimage; 2020 Sep 01; 218():116947. PubMed ID: 32474081
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  • 9. A computational atlas of the hippocampal formation using ex vivo, ultra-high resolution MRI: Application to adaptive segmentation of in vivo MRI.
    Iglesias JE, Augustinack JC, Nguyen K, Player CM, Player A, Wright M, Roy N, Frosch MP, McKee AC, Wald LL, Fischl B, Van Leemput K, Alzheimer's Disease Neuroimaging Initiative.
    Neuroimage; 2015 Jul 15; 115():117-37. PubMed ID: 25936807
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  • 10. Automated olfactory bulb segmentation on high resolutional T2-weighted MRI.
    Estrada S, Lu R, Diers K, Zeng W, Ehses P, Stöcker T, Breteler MMB, Reuter M.
    Neuroimage; 2021 Nov 15; 242():118464. PubMed ID: 34389442
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  • 11. Improving brain atrophy quantification with deep learning from automated labels using tissue similarity priors.
    Clèrigues A, Valverde S, Oliver A, Lladó X, Alzheimer’s Disease Neuroimaging Initiative.
    Comput Biol Med; 2024 Sep 15; 179():108811. PubMed ID: 38991315
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  • 12. HGM-cNet: Integrating hippocampal gray matter probability map into a cascaded deep learning framework improves hippocampus segmentation.
    Zheng Q, Liu B, Gao Y, Bai L, Cheng Y, Li H.
    Eur J Radiol; 2023 May 15; 162():110771. PubMed ID: 36948058
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  • 13. Postoperative glioma segmentation in CT image using deep feature fusion model guided by multi-sequence MRIs.
    Tang F, Liang S, Zhong T, Huang X, Deng X, Zhang Y, Zhou L.
    Eur Radiol; 2020 Feb 15; 30(2):823-832. PubMed ID: 31650265
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  • 15. Testing a deep convolutional neural network for automated hippocampus segmentation in a longitudinal sample of healthy participants.
    Nogovitsyn N, Souza R, Muller M, Srajer A, Hassel S, Arnott SR, Davis AD, Hall GB, Harris JK, Zamyadi M, Metzak PD, Ismail Z, Bray SL, Lebel C, Addington JM, Milev R, Harkness KL, Frey BN, Lam RW, Strother SC, Goldstein BI, Rotzinger S, Kennedy SH, MacQueen GM.
    Neuroimage; 2019 Aug 15; 197():589-597. PubMed ID: 31075395
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  • 19. Automated prostate multi-regional segmentation in magnetic resonance using fully convolutional neural networks.
    Jimenez-Pastor A, Lopez-Gonzalez R, Fos-Guarinos B, Garcia-Castro F, Wittenberg M, Torregrosa-Andrés A, Marti-Bonmati L, Garcia-Fontes M, Duarte P, Gambini JP, Bittencourt LK, Kitamura FC, Venugopal VK, Mahajan V, Ros P, Soria-Olivas E, Alberich-Bayarri A.
    Eur Radiol; 2023 Jul 15; 33(7):5087-5096. PubMed ID: 36690774
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  • 20. Automated brain tumor segmentation using spatial accuracy-weighted hidden Markov Random Field.
    Nie J, Xue Z, Liu T, Young GS, Setayesh K, Guo L, Wong ST.
    Comput Med Imaging Graph; 2009 Sep 15; 33(6):431-41. PubMed ID: 19446435
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