These tools will no longer be maintained as of December 31, 2024. Archived website can be found here. PubMed4Hh GitHub repository can be found here. Contact NLM Customer Service if you have questions.


BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

186 related articles for article (PubMed ID: 37957363)

  • 1. Brain age predicted using graph convolutional neural network explains neurodevelopmental trajectory in preterm neonates.
    Liu M; Lu M; Kim SY; Lee HJ; Duffy BA; Yuan S; Chai Y; Cole JH; Wu X; Toga AW; Jahanshad N; Gano D; Barkovich AJ; Xu D; Kim H
    Eur Radiol; 2024 Jun; 34(6):3601-3611. PubMed ID: 37957363
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Supervised contrastive learning enhances graph convolutional networks for predicting neurodevelopmental deficits in very preterm infants using brain structural connectome.
    Li H; Wang J; Li Z; Cecil KM; Altaye M; Dillman JR; Parikh NA; He L
    Neuroimage; 2024 May; 291():120579. PubMed ID: 38537766
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Predicting motor outcome in preterm infants from very early brain diffusion MRI using a deep learning convolutional neural network (CNN) model.
    Saha S; Pagnozzi A; Bourgeat P; George JM; Bradford D; Colditz PB; Boyd RN; Rose SE; Fripp J; Pannek K
    Neuroimage; 2020 Jul; 215():116807. PubMed ID: 32278897
    [TBL] [Abstract][Full Text] [Related]  

  • 4. BrainNetCNN: Convolutional neural networks for brain networks; towards predicting neurodevelopment.
    Kawahara J; Brown CJ; Miller SP; Booth BG; Chau V; Grunau RE; Zwicker JG; Hamarneh G
    Neuroimage; 2017 Feb; 146():1038-1049. PubMed ID: 27693612
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Longitudinal study of neonatal brain tissue volumes in preterm infants and their ability to predict neurodevelopmental outcome.
    Gui L; Loukas S; Lazeyras F; Hüppi PS; Meskaldji DE; Borradori Tolsa C
    Neuroimage; 2019 Jan; 185():728-741. PubMed ID: 29908311
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Association of Pediatric Buccal Epigenetic Age Acceleration With Adverse Neonatal Brain Growth and Neurodevelopmental Outcomes Among Children Born Very Preterm With a Neonatal Infection.
    Gomaa N; Konwar C; Gladish N; Au-Young SH; Guo T; Sheng M; Merrill SM; Kelly E; Chau V; Branson HM; Ly LG; Duerden EG; Grunau RE; Kobor MS; Miller SP
    JAMA Netw Open; 2022 Nov; 5(11):e2239796. PubMed ID: 36322087
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Association of Histologic Chorioamnionitis With Perinatal Brain Injury and Early Childhood Neurodevelopmental Outcomes Among Preterm Neonates.
    Bierstone D; Wagenaar N; Gano DL; Guo T; Georgio G; Groenendaal F; de Vries LS; Varghese J; Glass HC; Chung C; Terry J; Rijpert M; Grunau RE; Synnes A; Barkovich AJ; Ferriero DM; Benders M; Chau V; Miller SP
    JAMA Pediatr; 2018 Jun; 172(6):534-541. PubMed ID: 29610829
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Neurodevelopmental outcome in preterm infants with intraventricular hemorrhages: the potential of quantitative brainstem MRI.
    Kienast P; Schmidbauer V; Yildirim MS; Seeliger S; Stuempflen M; Elis J; Giordano V; Fuiko R; Olischar M; Vierlinger K; Noehammer C; Berger A; Prayer D; Kasprian G; Goeral K
    Cereb Cortex; 2024 May; 34(5):. PubMed ID: 38715405
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Predicting age and clinical risk from the neonatal connectome.
    Taoudi-Benchekroun Y; Christiaens D; Grigorescu I; Gale-Grant O; Schuh A; Pietsch M; Chew A; Harper N; Falconer S; Poppe T; Hughes E; Hutter J; Price AN; Tournier JD; Cordero-Grande L; Counsell SJ; Rueckert D; Arichi T; Hajnal JV; Edwards AD; Deprez M; Batalle D
    Neuroimage; 2022 Aug; 257():119319. PubMed ID: 35589001
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Correlation of lateral ventricular size and deep gray matter volume in MRI at term equivalent age with neurodevelopmental outcome at a corrected age of 24 months and with handedness in preterm infants.
    Storbeck T; Bruns N; Weiss C; Felderhoff-Müser U; Müller H
    Eur J Pediatr; 2020 Feb; 179(2):271-278. PubMed ID: 31724086
    [TBL] [Abstract][Full Text] [Related]  

  • 11. ConCeptCNN: A novel multi-filter convolutional neural network for the prediction of neurodevelopmental disorders using brain connectome.
    Chen M; Li H; Fan H; Dillman JR; Wang H; Altaye M; Zhang B; Parikh NA; He L
    Med Phys; 2022 May; 49(5):3171-3184. PubMed ID: 35246986
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Feed-forward neural networks using cerebral MR spectroscopy and DTI might predict neurodevelopmental outcome in preterm neonates.
    Janjic T; Pereverzyev S; Hammerl M; Neubauer V; Lerchner H; Wallner V; Steiger R; Kiechl-Kohlendorfer U; Zimmermann M; Buchheim A; Grams AE; Gizewski ER
    Eur Radiol; 2020 Dec; 30(12):6441-6451. PubMed ID: 32683551
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Predicting 2-year neurodevelopmental outcomes in preterm infants using multimodal structural brain magnetic resonance imaging with local connectivity.
    Jang YH; Ham J; Kasani PH; Kim H; Lee JY; Lee GY; Han TH; Kim BN; Lee HJ
    Sci Rep; 2024 Apr; 14(1):9331. PubMed ID: 38653988
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Brain MRI radiomics analysis may predict poor psychomotor outcome in preterm neonates.
    Shin Y; Nam Y; Shin T; Choi JW; Lee JH; Jung DE; Lim J; Kim HG
    Eur Radiol; 2021 Aug; 31(8):6147-6155. PubMed ID: 33758957
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Disruption and Compensation of Sulcation-based Covariance Networks in Neonatal Brain Growth after Perinatal Injury.
    Kim SY; Liu M; Hong SJ; Toga AW; Barkovich AJ; Xu D; Kim H
    Cereb Cortex; 2020 Nov; 30(12):6238-6253. PubMed ID: 32656563
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Comparison of cranial ultrasound and MRI for detecting BRAIN injury in extremely preterm infants and correlation with neurological outcomes at 1 and 3 years.
    Burkitt K; Kang O; Jyoti R; Mohamed AL; Chaudhari T
    Eur J Pediatr; 2019 Jul; 178(7):1053-1061. PubMed ID: 31065842
    [TBL] [Abstract][Full Text] [Related]  

  • 17. A regional brain volume-based age prediction model for neonates and the derived brain maturation index.
    Park S; Kim HG; Yang H; Lee M; Kim REY; Kim SH; Styner MA; Kim J; Kim JR; Kim D
    Eur Radiol; 2024 Jun; 34(6):3892-3902. PubMed ID: 37971681
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Prediction of brain maturity in infants using machine-learning algorithms.
    Smyser CD; Dosenbach NU; Smyser TA; Snyder AZ; Rogers CE; Inder TE; Schlaggar BL; Neil JJ
    Neuroimage; 2016 Aug; 136():1-9. PubMed ID: 27179605
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Are Simple Magnetic Resonance Imaging Biomarkers Predictive of Neurodevelopmental Outcome at Two Years in Very Preterm Infants?
    Dewan MV; Herrmann R; Schweiger B; Sirin S; Müller H; Storbeck T; Dransfeld F; Felderhoff-Müser U; Hüning B
    Neonatology; 2019; 116(4):331-340. PubMed ID: 31454812
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Associations of Newborn Brain Magnetic Resonance Imaging with Long-Term Neurodevelopmental Impairments in Very Preterm Children.
    Anderson PJ; Treyvaud K; Neil JJ; Cheong JLY; Hunt RW; Thompson DK; Lee KJ; Doyle LW; Inder TE
    J Pediatr; 2017 Aug; 187():58-65.e1. PubMed ID: 28583705
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 10.