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Keyword Connections
fcm clustering
Journals
11
1
Inorganic chemistry
2
Journal of magnetic resonance imaging : JMRI
3
Biotechnology and bioengineering
4
European journal of radiology
5
american journal of veterinary research
6
European Neurology
7
zhonghua nan ke xue = national journal of andrology
8
zhongguo xiu fu chong jian wai ke za zhi = zhongguo xiufu chongjian waike zazhi = chinese journal of reparative and reconstructive surgery
9
Journal of neural transmission (Vienna, Austria : 1996)
10
International Journal of Clinical Practice
11
die nahrung
Research Groups
0
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Bibliographies
14
1
Automated detection of the arterial input function using normalized cut clustering to determine cerebral perfusion by dynamic susceptibility contrast-magnetic resonance imaging.
2
Does ICA occlusion frequently have intracerebral hemorrhage after IV tissue plasminogen activator therapy for ischemic stroke?
3
CT colonography: role of a second reader CAD paradigm in the initial training of radiologists.
4
[Experimental study on simvastatin in prevention and treatment of aseptic loosening of prosthesis].
5
Effects of oxybutynin transdermal system on health-related quality of life and safety in men with overactive bladder and prostate conditions.
6
Ba11Cd8Bi14: bismuth zigzag chains in a ternary alkaline-earth transition-metal Zintl phase.
7
[Application of flow cytometry to the evaluation of semen quality].
8
Electrochemical detection of ascorbic acid (vitamin C) using a glassy carbon electrode.
9
An association study between two missense variations of the benzodiazepine receptor (peripheral) gene and schizophrenia in a Japanese sample.
10
Mixing and power characteristics of drag board device in shallow pool.
11
Pharmacokinetics of sodium amoxicillin in foals after intramuscular administration.
12
novel approach to unsupervised change detection based on a robust semi-supervised fcm clustering algorithm
13
mixing matrix estimation of underdetermined blind source separation based on data field and improved fcm clustering
14
XML web quality analysis by employing MFCM clustering technique and KNN classification