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Volumn , Issue , 2005, Pages 621-628

Application of unsupervised clustering methods to medical imaging

Author keywords

Dynamic perfusion MRI; FMRI; MRI; Unsupervised clustering

Indexed keywords

BIOMEDICAL IMAGES; DYNAMIC CONTRAST-ENHANCED; FMRI; FUNCTIONAL MRI; PERFUSION MRI; UNSUPERVISED CLUSTERING; UNSUPERVISED CLUSTERING METHODS; UNSUPERVISED CLUSTERING TECHNIQUE;

EID: 67349279559     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (4)

References (8)
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    • E. Lucht and M. Knopp and G. Brix (2001), Classification of signal-time curves from dynamic (MR) mammography by neural networks, Magnetic Resonance Imaging, Vol. 19, p. 51-57.
    • (2001) Magnetic Resonance Imaging , vol.19 , pp. 51-57
    • Lucht, E.1    Knopp, M.2    Brix, G.3
  • 2
    • 0027632248 scopus 로고
    • Neural gas network for vector quantization and its application to time-series prediction
    • T. Martinetz and S. Berkovich and K. Schulten (1993), Neural Gas Network for Vector Quantization and its Application to Time-Series Prediction, IEEE Transactions on Neural Networks, Vol. 4, p. 558-569.
    • (1993) IEEE Transactions on Neural Networks , vol.4 , pp. 558-569
    • Martinetz, T.1    Berkovich, S.2    Schulten, K.3
  • 3
    • 0027403503 scopus 로고
    • The sensitivity of magnetic resonance image signals of a rat brain to changes in the cerebral venous blood oxygenation activation
    • S. Ogawa and T. Lee and B. Barrere (1993), The sensitivity of magnetic resonance image signals of a rat brain to changes in the cerebral venous blood oxygenation activation, Magn. Reson. Med., Vol. 29, p. 205-210.
    • (1993) Magn. Reson. Med. , vol.29 , pp. 205-210
    • Ogawa, S.1    Lee, T.2    Barrere, B.3
  • 5
    • 4644351142 scopus 로고    scopus 로고
    • Comparison of two exploratory data analysis methods for fMRI: Unsupervised clustering versus independent component analysis
    • A. Meyer-Baese and A. Wismueller and O. Lange (2004) Comparison of Two Exploratory Data Analysis Methods for fMRI: Unsupervised Clustering versus Independent Component Analysis, IEEE Transactions on Information Technology in Biomedicine, Vol. 8, p. 387-398.
    • (2004) IEEE Transactions on Information Technology in Biomedicine , vol.8 , pp. 387-398
    • Meyer-Baese, A.1    Wismueller, A.2    Lange, O.3
  • 6
    • 3543076302 scopus 로고    scopus 로고
    • Computer-aided diagnosis in breast MRI based on unsupervised clustering techniques
    • A. Meyer-Baese and A. Wismueller and O. Lange and G. Leinsinger (2004), Computer-Aided Diagnosis in Breast MRI Based on Unsupervised Clustering Techniques, Proceedings of SPIE, Vol. 5421, p. 29-37.
    • (2004) Proceedings of SPIE , vol.5421 , pp. 29-37
    • Meyer-Baese, A.1    Wismueller, A.2    Lange, O.3    Leinsinger, G.4
  • 7
    • 0032784636 scopus 로고    scopus 로고
    • Neural maps and topographic vector quantization
    • H. Bauer and M. Herrmann and T. Villmann (1999) Neural maps and topographic vector quantization, Neural Networks, Vol. 12, p. 659-676.
    • (1999) Neural Networks , vol.12 , pp. 659-676
    • Bauer, H.1    Herrmann, M.2    Villmann, T.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.