TWO-STAGE CLUSTERING OF A HUMAN BRAIN TUMOUR DATASET USING MANIFOLD LEARNING MODELS

2008 ◽  
Keyword(s):  
Human Brain ◽  
Brain Tumour ◽  
Manifold Learning ◽  
Learning Models ◽  
Two Stage

scholarly journals Making nonlinear manifold learning models interpretable: The manifold grand tour

2015 ◽  
Vol 42 (22) ◽  
pp. 8982-8988 ◽  
Author(s):  
Paulo J.G. Lisboa ◽  
José D. Martín-Guerrero ◽  
Alfredo Vellido
Keyword(s):  
Manifold Learning ◽  
Learning Models ◽  
Grand Tour

Production and characterization of monoclonal antibodies to human brain tumour cells

1988 ◽  
Vol 16 (3) ◽  
pp. 373-374
Author(s):  
ELIZABETH MORAN ◽  
RICHARD O'KENNEDY ◽  
JACK PHILLIPS ◽  
GEORGE KARR
Keyword(s):  
Monoclonal Antibodies ◽  
Human Brain ◽  
Brain Tumour ◽  
Tumour Cells

scholarly journals Hierarchical Spatio-Temporal Modeling of Naturalistic Functional Magnetic Resonance Imaging Signals via Two-Stage Deep Belief Network With Neural Architecture Search

2021 ◽  
Vol 15 ◽  
Author(s):  
Yudan Ren ◽  
Shuhan Xu ◽  
Zeyang Tao ◽  
Limei Song ◽  
Xiaowei He
Keyword(s):  
Magnetic Resonance Imaging ◽  
Deep Learning ◽  
Magnetic Resonance ◽  
Brain Function ◽  
Learning Models ◽  
Functional Magnetic Resonance ◽  
Resonance Imaging ◽  
Two Stage ◽  
Functional Activities ◽  
Neural Architecture

Naturalistic functional magnetic resonance imaging (NfMRI) has become an effective tool to study brain functional activities in real-life context, which reduces the anxiety or boredom due to difficult or repetitive tasks and avoids the problem of unreliable collection of brain activity caused by the subjects’ microsleeps during resting state. Recent studies have made efforts on characterizing the brain’s hierarchical organizations from fMRI data by various deep learning models. However, most of those models have ignored the properties of group-wise consistency and inter-subject difference in brain function under naturalistic paradigm. Another critical issue is how to determine the optimal neural architecture of deep learning models, as manual design of neural architecture is time-consuming and less reliable. To tackle these problems, we proposed a two-stage deep belief network (DBN) with neural architecture search (NAS) combined framework (two-stage NAS-DBN) to model both the group-consistent and individual-specific naturalistic functional brain networks (FBNs), which reflected the hierarchical organization of brain function and the nature of brain functional activities under naturalistic paradigm. Moreover, the test-retest reliability and spatial overlap rate of the FBNs identified by our model reveal better performance than that of widely used traditional methods. In general, our model provides a promising method for characterizing hierarchical spatiotemporal features under the natural paradigm.

Three Sources of Purified Factor III for Monitoring Vitamin K Dependent Coagulant Factors Using a Synthetic Chromogenic Substrate

1979 ◽  
Author(s):  
R. Oostryck
Keyword(s):  
Human Brain ◽  
Vitamin K ◽  
Calcium Binding ◽  
Scandinavian Journal ◽  
Normal Subjects ◽  
Bovine Brain ◽  
Chromogenic Substrate ◽  
Clotting Factors ◽  
Two Stage ◽  
Biophysical Research Communication

Methods used for monitoring coumarol treatment should be sensitive to the loss of calcium binding γ-carboxyl glutamic acids in the vitamin K dependent clotting factors. A two stage method sensitive to factors II-VII-X using the chromogenic substrate H-D-Phe-Pip-Arg-pNA has been evaluated using 75μl of reconstituted factor III containing 0.012μg of apoprotein III per ml for each assay. The reconstituted factor III used as the activator was prepared according to the method of Bjorklid et al. (1973) from human brain, human placental material and bovine brain, and from a phospholipid fraction - Gierksky et al. (1976).This method was sensitive to the coumarol induced defect with all three sources of apoprotein III and correlated well with a standard saline thrombo plastin extract (r=0.85, 0.89 and 0.88 respectively) in a group of 80 dicouroarol treated patients and 20 normal subjects and appears to overcome the insensitivity usually associated with crude bovine thromboplastins. Bjorklid E, Storm E and Prydz H (1973)Biochemical and Biophysical Research Communication, 55, 969 Gierksky K E, Bjorklid E and Prydz H (1976) Scandinavian Journal of Haematology,16, 300.

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