BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

277 related articles for article (PubMed ID: 32640273)

  • 21. Validation of cross-sectional and longitudinal ComBat harmonization methods for magnetic resonance imaging data on a travelling subject cohort.
    Richter S; Winzeck S; Correia MM; Kornaropoulos EN; Manktelow A; Outtrim J; Chatfield D; Posti JP; Tenovuo O; Williams GB; Menon DK; Newcombe VFJ
    Neuroimage Rep; 2022 Dec; 2(4):None. PubMed ID: 36507071
    [TBL] [Abstract][Full Text] [Related]  

  • 22. Intensity warping for multisite MRI harmonization.
    Wrobel J; Martin ML; Bakshi R; Calabresi PA; Elliot M; Roalf D; Gur RC; Gur RE; Henry RG; Nair G; Oh J; Papinutto N; Pelletier D; Reich DS; Rooney WD; Satterthwaite TD; Stern W; Prabhakaran K; Sicotte NL; Shinohara RT; Goldsmith J;
    Neuroimage; 2020 Dec; 223():117242. PubMed ID: 32798678
    [TBL] [Abstract][Full Text] [Related]  

  • 23. Multisite harmonization of diffusion tensor image analysis along the perivascular space using the COMBined Association Test.
    Saito Y; Kamagata K; Andica C; Taoka T; Tuerxun R; Uchida W; Takabayashi K; Owaki M; Yoshida S; Yamazaki K; Naganawa S; Aoki S
    Jpn J Radiol; 2023 Oct; 41(10):1072-1083. PubMed ID: 37093548
    [TBL] [Abstract][Full Text] [Related]  

  • 24. Region-of-Interest based sparse feature learning method for Alzheimer's disease identification.
    Wang L; Liu Y; Zeng X; Cheng H; Wang Z; Wang Q
    Comput Methods Programs Biomed; 2020 Apr; 187():105290. PubMed ID: 31927305
    [TBL] [Abstract][Full Text] [Related]  

  • 25. Permutation-based inference for spatially localized signals in longitudinal MRI data.
    Park JY; Fiecas M;
    Neuroimage; 2021 Oct; 239():118312. PubMed ID: 34182099
    [TBL] [Abstract][Full Text] [Related]  

  • 26. ComBat Harmonization: Empirical Bayes versus fully Bayes approaches.
    Reynolds M; Chaudhary T; Eshaghzadeh Torbati M; Tudorascu DL; Batmanghelich K;
    Neuroimage Clin; 2023; 39():103472. PubMed ID: 37506457
    [TBL] [Abstract][Full Text] [Related]  

  • 27. Using high-dimensional machine learning methods to estimate an anatomical risk factor for Alzheimer's disease across imaging databases.
    Casanova R; Barnard RT; Gaussoin SA; Saldana S; Hayden KM; Manson JE; Wallace RB; Rapp SR; Resnick SM; Espeland MA; Chen JC;
    Neuroimage; 2018 Dec; 183():401-411. PubMed ID: 30130645
    [TBL] [Abstract][Full Text] [Related]  

  • 28. Longitudinal Mapping of Cortical Thickness Measurements: An Alzheimer's Disease Neuroimaging Initiative-Based Evaluation Study.
    Tustison NJ; Holbrook AJ; Avants BB; Roberts JM; Cook PA; Reagh ZM; Duda JT; Stone JR; Gillen DL; Yassa MA;
    J Alzheimers Dis; 2019; 71(1):165-183. PubMed ID: 31356207
    [TBL] [Abstract][Full Text] [Related]  

  • 29. Harmonization of repetition time and scanner effects on estimates of brain hemodynamic response function.
    Dole L; Schilling KG; Kang H; Gore JC; Landman BA
    Proc SPIE Int Soc Opt Eng; 2023 Feb; 12464():. PubMed ID: 37465094
    [TBL] [Abstract][Full Text] [Related]  

  • 30. A hierarchical independent component analysis model for longitudinal neuroimaging studies.
    Wang Y; Guo Y
    Neuroimage; 2019 Apr; 189():380-400. PubMed ID: 30639837
    [TBL] [Abstract][Full Text] [Related]  

  • 31. Longitudinally and inter-site consistent multi-atlas based parcellation of brain anatomy using harmonized atlases.
    Erus G; Doshi J; An Y; Verganelakis D; Resnick SM; Davatzikos C
    Neuroimage; 2018 Feb; 166():71-78. PubMed ID: 29107121
    [TBL] [Abstract][Full Text] [Related]  

  • 32. Measurement of longitudinal β-amyloid change with 18F-florbetapir PET and standardized uptake value ratios.
    Landau SM; Fero A; Baker SL; Koeppe R; Mintun M; Chen K; Reiman EM; Jagust WJ
    J Nucl Med; 2015 Apr; 56(4):567-74. PubMed ID: 25745095
    [TBL] [Abstract][Full Text] [Related]  

  • 33. Analysis of longitudinal diffusion-weighted images in healthy and pathological aging: An ADNI study.
    Kruggel F; Masaki F; Solodkin A;
    J Neurosci Methods; 2017 Feb; 278():101-115. PubMed ID: 28057473
    [TBL] [Abstract][Full Text] [Related]  

  • 34. Estimating and accounting for the effect of MRI scanner changes on longitudinal whole-brain volume change measurements.
    Lee H; Nakamura K; Narayanan S; Brown RA; Arnold DL;
    Neuroimage; 2019 Jan; 184():555-565. PubMed ID: 30253207
    [TBL] [Abstract][Full Text] [Related]  

  • 35. Cross-scanner reproducibility and harmonization of a diffusion MRI structural brain network: A traveling subject study of multi-b acquisition.
    Kurokawa R; Kamiya K; Koike S; Nakaya M; Uematsu A; Tanaka SC; Kamagata K; Okada N; Morita K; Kasai K; Abe O
    Neuroimage; 2021 Dec; 245():118675. PubMed ID: 34710585
    [TBL] [Abstract][Full Text] [Related]  

  • 36. Alzheimer's Disease Diagnosis Using Landmark-Based Features From Longitudinal Structural MR Images.
    Zhang J; Liu M; Le An ; Gao Y; Shen D
    IEEE J Biomed Health Inform; 2017 Nov; 21(6):1607-1616. PubMed ID: 28534798
    [TBL] [Abstract][Full Text] [Related]  

  • 37. Style transfer generative adversarial networks to harmonize multisite MRI to a single reference image to avoid overcorrection.
    Liu M; Zhu AH; Maiti P; Thomopoulos SI; Gadewar S; Chai Y; Kim H; Jahanshad N;
    Hum Brain Mapp; 2023 Oct; 44(14):4875-4892. PubMed ID: 37471702
    [TBL] [Abstract][Full Text] [Related]  

  • 38. Harmonized benchmark labels of the hippocampus on magnetic resonance: the EADC-ADNI project.
    Bocchetta M; Boccardi M; Ganzola R; Apostolova LG; Preboske G; Wolf D; Ferrari C; Pasqualetti P; Robitaille N; Duchesne S; Jack CR; Frisoni GB;
    Alzheimers Dement; 2015 Feb; 11(2):151-60.e5. PubMed ID: 25223727
    [TBL] [Abstract][Full Text] [Related]  

  • 39. Deep learning-based unlearning of dataset bias for MRI harmonisation and confound removal.
    Dinsdale NK; Jenkinson M; Namburete AIL
    Neuroimage; 2021 Mar; 228():117689. PubMed ID: 33385551
    [TBL] [Abstract][Full Text] [Related]  

  • 40. Reproducible evaluation of classification methods in Alzheimer's disease: Framework and application to MRI and PET data.
    Samper-González J; Burgos N; Bottani S; Fontanella S; Lu P; Marcoux A; Routier A; Guillon J; Bacci M; Wen J; Bertrand A; Bertin H; Habert MO; Durrleman S; Evgeniou T; Colliot O; ;
    Neuroimage; 2018 Dec; 183():504-521. PubMed ID: 30130647
    [TBL] [Abstract][Full Text] [Related]  

    [Previous]   [Next]    [New Search]
    of 14.