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 *

147 related articles for article (PubMed ID: 29550581)

  • 1. Rapid fully automatic segmentation of subcortical brain structures by shape-constrained surface adaptation.
    Wenzel F; Meyer C; Stehle T; Peters J; Siemonsen S; Thaler C; Zagorchev L;
    Med Image Anal; 2018 May; 46():146-161. PubMed ID: 29550581
    [TBL] [Abstract][Full Text] [Related]  

  • 2. A comparative study of segmentation techniques for the quantification of brain subcortical volume.
    Akudjedu TN; Nabulsi L; Makelyte M; Scanlon C; Hehir S; Casey H; Ambati S; Kenney J; O'Donoghue S; McDermott E; Kilmartin L; Dockery P; McDonald C; Hallahan B; Cannon DM
    Brain Imaging Behav; 2018 Dec; 12(6):1678-1695. PubMed ID: 29442273
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Reproducibility of Brain MRI Segmentation Algorithms: Empirical Comparison of Local MAP PSTAPLE, FreeSurfer, and FSL-FIRST.
    Velasco-Annis C; Akhondi-Asl A; Stamm A; Warfield SK
    J Neuroimaging; 2018 Mar; 28(2):162-172. PubMed ID: 29134725
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Accuracy and bias of automatic hippocampal segmentation in children and adolescents.
    Herten A; Konrad K; Krinzinger H; Seitz J; von Polier GG
    Brain Struct Funct; 2019 Mar; 224(2):795-810. PubMed ID: 30511334
    [TBL] [Abstract][Full Text] [Related]  

  • 5. A Robust and Accurate Deep-learning-based Method for the Segmentation of Subcortical Brain: Cross-dataset Evaluation of Generalization Performance.
    Furuhashi N; Okuhata S; Kobayashi T
    Magn Reson Med Sci; 2021 Jun; 20(2):166-174. PubMed ID: 32389928
    [TBL] [Abstract][Full Text] [Related]  

  • 6. An improved FSL-FIRST pipeline for subcortical gray matter segmentation to study abnormal brain anatomy using quantitative susceptibility mapping (QSM).
    Feng X; Deistung A; Dwyer MG; Hagemeier J; Polak P; Lebenberg J; Frouin F; Zivadinov R; Reichenbach JR; Schweser F
    Magn Reson Imaging; 2017 Jun; 39():110-122. PubMed ID: 28188873
    [TBL] [Abstract][Full Text] [Related]  

  • 7. 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;
    Neuroimage; 2014 Nov; 101():494-512. PubMed ID: 24784800
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Automatic skull segmentation from MR images for realistic volume conductor models of the head: Assessment of the state-of-the-art.
    Nielsen JD; Madsen KH; Puonti O; Siebner HR; Bauer C; Madsen CG; Saturnino GB; Thielscher A
    Neuroimage; 2018 Jul; 174():587-598. PubMed ID: 29518567
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Hippocampus and amygdala volumes from magnetic resonance images in children: Assessing accuracy of FreeSurfer and FSL against manual segmentation.
    Schoemaker D; Buss C; Head K; Sandman CA; Davis EP; Chakravarty MM; Gauthier S; Pruessner JC
    Neuroimage; 2016 Apr; 129():1-14. PubMed ID: 26824403
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Improved labeling of subcortical brain structures in atlas-based segmentation of magnetic resonance images.
    Yousefi S; Kehtarnavaz N; Gholipour A
    IEEE Trans Biomed Eng; 2012 Jul; 59(7):1808-17. PubMed ID: 21382762
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Automated segmentation of in vivo and ex vivo mouse brain magnetic resonance images.
    Scheenstra AE; van de Ven RC; van der Weerd L; van den Maagdenberg AM; Dijkstra J; Reiber JH
    Mol Imaging; 2009; 8(1):35-44. PubMed ID: 19344574
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Interactive algorithms for the segmentation and quantitation of 3-D MRI brain scans.
    Freeborough PA; Fox NC; Kitney RI
    Comput Methods Programs Biomed; 1997 May; 53(1):15-25. PubMed ID: 9113464
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Evaluating accuracy of striatal, pallidal, and thalamic segmentation methods: Comparing automated approaches to manual delineation.
    Makowski C; Béland S; Kostopoulos P; Bhagwat N; Devenyi GA; Malla AK; Joober R; Lepage M; Chakravarty MM
    Neuroimage; 2018 Apr; 170():182-198. PubMed ID: 28259781
    [TBL] [Abstract][Full Text] [Related]  

  • 14. A Comparative Analysis of MRI Automated Segmentation of Subcortical Brain Volumes in a Large Dataset of Elderly Subjects.
    Gomez-Ramirez J; Quilis-Sancho J; Fernandez-Blazquez MA
    Neuroinformatics; 2022 Jan; 20(1):63-72. PubMed ID: 33783668
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Subcortical and hippocampal brain segmentation in 5-year-old children: Validation of FSL-FIRST and FreeSurfer against manual segmentation.
    Lidauer K; Pulli EP; Copeland A; Silver E; Kumpulainen V; Hashempour N; Merisaari H; Saunavaara J; Parkkola R; Lähdesmäki T; Saukko E; Nolvi S; Kataja EL; Karlsson L; Karlsson H; Tuulari JJ
    Eur J Neurosci; 2022 Sep; 56(5):4619-4641. PubMed ID: 35799402
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Brain morphometry reproducibility in multi-center 3T MRI studies: a comparison of cross-sectional and longitudinal segmentations.
    Jovicich J; Marizzoni M; Sala-Llonch R; Bosch B; Bartrés-Faz D; Arnold J; Benninghoff J; Wiltfang J; Roccatagliata L; Nobili F; Hensch T; Tränkner A; Schönknecht P; Leroy M; Lopes R; Bordet R; Chanoine V; Ranjeva JP; Didic M; Gros-Dagnac H; Payoux P; Zoccatelli G; Alessandrini F; Beltramello A; Bargalló N; Blin O; Frisoni GB;
    Neuroimage; 2013 Dec; 83():472-84. PubMed ID: 23668971
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Automated segmentation of the prostate in 3D MR images using a probabilistic atlas and a spatially constrained deformable model.
    Martin S; Troccaz J; Daanenc V
    Med Phys; 2010 Apr; 37(4):1579-90. PubMed ID: 20443479
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Evaluating the effect of multiple sclerosis lesions on automatic brain structure segmentation.
    González-Villà S; Valverde S; Cabezas M; Pareto D; Vilanova JC; Ramió-Torrentà L; Rovira À; Oliver A; Lladó X
    Neuroimage Clin; 2017; 15():228-238. PubMed ID: 28540179
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Automatic thalamus and hippocampus segmentation from MP2RAGE: comparison of publicly available methods and implications for DTI quantification.
    Næss-Schmidt E; Tietze A; Blicher JU; Petersen M; Mikkelsen IK; Coupé P; Manjón JV; Eskildsen SF
    Int J Comput Assist Radiol Surg; 2016 Nov; 11(11):1979-1991. PubMed ID: 27325140
    [TBL] [Abstract][Full Text] [Related]  

  • 20. A comprehensive testing protocol for MRI neuroanatomical segmentation techniques: Evaluation of a novel lateral ventricle segmentation method.
    Kempton MJ; Underwood TS; Brunton S; Stylios F; Schmechtig A; Ettinger U; Smith MS; Lovestone S; Crum WR; Frangou S; Williams SC; Simmons A
    Neuroimage; 2011 Oct; 58(4):1051-9. PubMed ID: 21835253
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 8.