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 *

267 related articles for article (PubMed ID: 29471065)

  • 1. Clustering fMRI data with a robust unsupervised learning algorithm for neuroscience data mining.
    Aljobouri HK; Jaber HA; Koçak OM; Algin O; Çankaya I
    J Neurosci Methods; 2018 Apr; 299():45-54. PubMed ID: 29471065
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Robust growing neural gas algorithm with application in cluster analysis.
    Qin AK; Suganthan PN
    Neural Netw; 2004; 17(8-9):1135-48. PubMed ID: 15555857
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Optimal Model-free Approach Based on MDL and CHL for Active Brain Identification in fMRI Data Analysis.
    Jaber HA; Çankaya I; Aljobouri HK; Koçak OM; Algin O
    Curr Med Imaging; 2021; 17(3):352-365. PubMed ID: 32748753
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Development and validation of consensus clustering-based framework for brain segmentation using resting fMRI.
    Ryali S; Chen T; Padmanabhan A; Cai W; Menon V
    J Neurosci Methods; 2015 Jan; 240():128-40. PubMed ID: 25450335
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Comparison of two exploratory data analysis methods for fMRI: unsupervised clustering versus independent component analysis.
    Meyer-Baese A; Wismueller A; Lange O
    IEEE Trans Inf Technol Biomed; 2004 Sep; 8(3):387-98. PubMed ID: 15484444
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Model-free functional MRI analysis based on unsupervised clustering.
    Wismüller A; Meyer-Bäse A; Lange O; Auer D; Reiser MF; Sumners D
    J Biomed Inform; 2004 Feb; 37(1):10-8. PubMed ID: 15016382
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Learning Topologies with the Growing Neural Forest.
    Palomo EJ; López-Rubio E
    Int J Neural Syst; 2016 Jun; 26(4):1650019. PubMed ID: 27121995
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Analysis of FMRI data using an integrated principal component analysis and supervised affinity propagation clustering approach.
    Zhang J; Tuo X; Yuan Z; Liao W; Chen H
    IEEE Trans Biomed Eng; 2011 Nov; 58(11):3184-96. PubMed ID: 21859596
    [TBL] [Abstract][Full Text] [Related]  

  • 9. A new correlation-based fuzzy logic clustering algorithm for fMRI.
    Golay X; Kollias S; Stoll G; Meier D; Valavanis A; Boesiger P
    Magn Reson Med; 1998 Aug; 40(2):249-60. PubMed ID: 9702707
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Mapping the mouse brain with rs-fMRI: An optimized pipeline for functional network identification.
    Zerbi V; Grandjean J; Rudin M; Wenderoth N
    Neuroimage; 2015 Dec; 123():11-21. PubMed ID: 26296501
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Hidden Markov event sequence models: toward unsupervised functional MRI brain mapping.
    Faisan S; Thoraval L; Armspach JP; Foucher JR; Metz-Lutz MN; Heitz F
    Acad Radiol; 2005 Jan; 12(1):25-36. PubMed ID: 15691723
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Analysis of fMRI data using improved self-organizing mapping and spatio-temporal metric hierarchical clustering.
    Liao W; Chen H; Yang Q; Lei X
    IEEE Trans Med Imaging; 2008 Oct; 27(10):1472-83. PubMed ID: 18815099
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Detecting overlapped functional clusters in resting state fMRI with Connected Iterative Scan: a graph theory based clustering algorithm.
    Yan X; Kelley S; Goldberg M; Biswal BB
    J Neurosci Methods; 2011 Jul; 199(1):108-18. PubMed ID: 21565220
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Ant Colony Clustering for ROI Identification in Functional Magnetic Resonance Imaging.
    Veloz A; Weinstein A; Pszczolkowski S; Hernández-García L; Olivares R; Muñoz R; Taramasco C
    Comput Intell Neurosci; 2019; 2019():5259643. PubMed ID: 32082371
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Neural networks approach to clustering of activity in fMRI data.
    Voultsidou M; Dodel S; Herrmann JM
    IEEE Trans Med Imaging; 2005 Aug; 24(8):987-96. PubMed ID: 16092331
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Towards Tunable Consensus Clustering for Studying Functional Brain Connectivity During Affective Processing.
    Liu C; Abu-Jamous B; Brattico E; Nandi AK
    Int J Neural Syst; 2017 Mar; 27(2):1650042. PubMed ID: 27596928
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Transfer learning of deep neural network representations for fMRI decoding.
    Svanera M; Savardi M; Benini S; Signoroni A; Raz G; Hendler T; Muckli L; Goebel R; Valente G
    J Neurosci Methods; 2019 Dec; 328():108319. PubMed ID: 31585315
    [TBL] [Abstract][Full Text] [Related]  

  • 18. DWT-CEM: an algorithm for scale-temporal clustering in fMRI.
    Sato JR; Fujita A; Amaro E; Miranda JM; Morettin PA; Brammer MJ
    Biol Cybern; 2007 Jul; 97(1):33-45. PubMed ID: 17534651
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Feature characterization in fMRI data: the Information Bottleneck approach.
    Thirion B; Faugeras O
    Med Image Anal; 2004 Dec; 8(4):403-19. PubMed ID: 15567705
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Intra and inter-regional functional connectivity of the human brain due to Task-Evoked fMRI Data classification through CNN & LSTM.
    Kaheni H; Shiran MB; Kamrava SK; Zare-Sadeghi A
    J Neuroradiol; 2024 Jun; 51(4):101188. PubMed ID: 38408721
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 14.