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 *

149 related articles for article (PubMed ID: 26089318)

  • 1. Improving Multiple Sclerosis Plaque Detection Using a Semiautomated Assistive Approach.
    van Heerden J; Rawlinson D; Zhang AM; Chakravorty R; Tacey MA; Desmond PM; Gaillard F
    AJNR Am J Neuroradiol; 2015 Aug; 36(8):1465-71. PubMed ID: 26089318
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Neuroradiologists Compared with Non-Neuroradiologists in the Detection of New Multiple Sclerosis Plaques.
    Wang W; van Heerden J; Tacey MA; Gaillard F
    AJNR Am J Neuroradiol; 2017 Jul; 38(7):1323-1327. PubMed ID: 28473341
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Improved Detection of New MS Lesions during Follow-Up Using an Automated MR Coregistration-Fusion Method.
    Galletto Pregliasco A; Collin A; Guéguen A; Metten MA; Aboab J; Deschamps R; Gout O; Duron L; Sadik JC; Savatovsky J; Lecler A
    AJNR Am J Neuroradiol; 2018 Jul; 39(7):1226-1232. PubMed ID: 29880479
    [TBL] [Abstract][Full Text] [Related]  

  • 4. PACS Integration of Semiautomated Imaging Software Improves Day-to-Day MS Disease Activity Detection.
    Dahan A; Pereira R; Malpas CB; Kalincik T; Gaillard F
    AJNR Am J Neuroradiol; 2019 Oct; 40(10):1624-1629. PubMed ID: 31515214
    [TBL] [Abstract][Full Text] [Related]  

  • 5. A comparison of sagittal short T1 inversion recovery and T2-weighted FSE sequences for detection of multiple sclerosis spinal cord lesions.
    Nayak NB; Salah R; Huang JC; Hathout GM
    Acta Neurol Scand; 2014 Mar; 129(3):198-203. PubMed ID: 23980614
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Follow-up MRI in multiple sclerosis patients: automated co-registration and lesion color-coding improves diagnostic accuracy and reduces reading time.
    Zopfs D; Laukamp KR; Paquet S; Lennartz S; Pinto Dos Santos D; Kabbasch C; Bunck A; Schlamann M; Borggrefe J
    Eur Radiol; 2019 Dec; 29(12):7047-7054. PubMed ID: 31201526
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Clinical Feasibility of Synthetic MRI in Multiple Sclerosis: A Diagnostic and Volumetric Validation Study.
    Granberg T; Uppman M; Hashim F; Cananau C; Nordin LE; Shams S; Berglund J; Forslin Y; Aspelin P; Fredrikson S; Kristoffersen-Wiberg M
    AJNR Am J Neuroradiol; 2016 Jun; 37(6):1023-9. PubMed ID: 26797137
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Identification of Chronic Active Multiple Sclerosis Lesions on 3T MRI.
    Absinta M; Sati P; Fechner A; Schindler MK; Nair G; Reich DS
    AJNR Am J Neuroradiol; 2018 Jul; 39(7):1233-1238. PubMed ID: 29724768
    [TBL] [Abstract][Full Text] [Related]  

  • 9. A 3T Phase-Sensitive Inversion Recovery MRI Sequence Improves Detection of Cervical Spinal Cord Lesions and Shows Active Lesions in Patients with Multiple Sclerosis.
    Fechner A; Savatovsky J; El Methni J; Sadik JC; Gout O; Deschamps R; Gueguen A; Lecler A
    AJNR Am J Neuroradiol; 2019 Feb; 40(2):370-375. PubMed ID: 30679225
    [TBL] [Abstract][Full Text] [Related]  

  • 10. A fully convolutional neural network for new T2-w lesion detection in multiple sclerosis.
    Salem M; Valverde S; Cabezas M; Pareto D; Oliver A; Salvi J; Rovira À; Lladó X
    Neuroimage Clin; 2020; 25():102149. PubMed ID: 31918065
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Detection of Leukocortical Lesions in Multiple Sclerosis and Their Association with Physical and Cognitive Impairment: A Comparison of Conventional and Synthetic Phase-Sensitive Inversion Recovery MRI.
    Forslin Y; Bergendal Å; Hashim F; Martola J; Shams S; Wiberg MK; Fredrikson S; Granberg T
    AJNR Am J Neuroradiol; 2018 Nov; 39(11):1995-2000. PubMed ID: 30262646
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Automated Detection and Segmentation of Multiple Sclerosis Lesions Using Ultra-High-Field MP2RAGE.
    Fartaria MJ; Sati P; Todea A; Radue EW; Rahmanzadeh R; OʼBrien K; Reich DS; Bach Cuadra M; Kober T; Granziera C
    Invest Radiol; 2019 Jun; 54(6):356-364. PubMed ID: 30829941
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Do All Patients with Multiple Sclerosis Benefit from the Use of Contrast on Serial Follow-Up MR Imaging? A Retrospective Analysis.
    Mattay RR; Davtyan K; Bilello M; Mamourian AC
    AJNR Am J Neuroradiol; 2018 Nov; 39(11):2001-2006. PubMed ID: 30287455
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Image registration and subtraction to detect active T(2) lesions in MS: an interobserver study.
    Tan IL; van Schijndel RA; Fazekas F; Filippi M; Freitag P; Miller DH; Yousry TA; Pouwels PJ; Adèr HJ; Barkhof F
    J Neurol; 2002 Jun; 249(6):767-73. PubMed ID: 12111312
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Intraobserver and interobserver variability of renal volume measurements in polycystic kidney disease using a semiautomated MR segmentation algorithm.
    Cohen BA; Barash I; Kim DC; Sanger MD; Babb JS; Chandarana H
    AJR Am J Roentgenol; 2012 Aug; 199(2):387-93. PubMed ID: 22826401
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Accuracy of the Compressed Sensing Accelerated 3D-FLAIR Sequence for the Detection of MS Plaques at 3T.
    Toledano-Massiah S; Sayadi A; de Boer R; Gelderblom J; Mahdjoub R; Gerber S; Zuber M; Zins M; Hodel J
    AJNR Am J Neuroradiol; 2018 Mar; 39(3):454-458. PubMed ID: 29348137
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Intraobserver and interobserver variability in schemes for estimating volume of brain lesions on MR images in multiple sclerosis.
    Filippi M; Horsfield MA; Rovaris M; Yousry T; Rocca MA; Baratti C; Bressi S; Comi G
    AJNR Am J Neuroradiol; 1998 Feb; 19(2):239-44. PubMed ID: 9504472
    [TBL] [Abstract][Full Text] [Related]  

  • 18. [Fast spin echo and fast fluid attenuated inversion recovery sequences in multiple sclerosis].
    Paolillo A; Giugni E; Bozzao A; Bastianello S
    Radiol Med; 1997 Jun; 93(6):686-91. PubMed ID: 9411514
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Optimizing 3D FLAIR to detect MS lesions: pushing past factory settings for precise results.
    Lecler A; Bouzad C; Deschamps R; Maizeroi F; Sadik JC; Gueguen A; Gout O; Picard H; Savatovsky J
    J Neurol; 2019 Nov; 266(11):2786-2795. PubMed ID: 31372735
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Detection of simulated multiple sclerosis lesions on T2-weighted and FLAIR images of the brain: observer performance.
    Woo JH; Henry LP; Krejza J; Melhem ER
    Radiology; 2006 Oct; 241(1):206-12. PubMed ID: 16990678
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 8.