Hole detection in metabolic connectivity of Alzheimer's disease using k-Laplacian

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 8675 LNCS, Issue PART 3, 2014, Pages 297-304

  Lee, Hyekyoung ^a   Chung, Moo K ^b   Kang, Hyejin ^a   Lee, Dong Soo ^a  

^a Seoul National University   (South Korea)

^b UNIVERSITY OF WISCONSIN SCHOOL OF MEDICINE AND PUBLIC HEALTH   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

LAPLACE TRANSFORMS; STRUCTURE (COMPOSITION); TOPOLOGY;

ALGEBRAIC TOPOLOGY; ALZHEIMER'S DISEASE; BIOLOGICAL MARKERS; DISEASE PROGRESSION; MILD COGNITIVE IMPAIRMENTS (MCI); MODULAR STRUCTURES; PERSISTENT HOMOLOGY; TOPOLOGICAL INVARIANTS;

NEURODEGENERATIVE DISEASES;

DIAGNOSTIC AGENT; FLUORODEOXYGLUCOSE F 18; RADIOPHARMACEUTICAL AGENT;

ALGORITHM; ALZHEIMER DISEASE; ARTICLE; ARTIFICIAL INTELLIGENCE; BRAIN; COMPUTER ASSISTED DIAGNOSIS; CONNECTOME; HUMAN; METABOLISM; METHODOLOGY; MILD COGNITIVE IMPAIRMENT; REPRODUCIBILITY; SCINTISCANNING; SENSITIVITY AND SPECIFICITY;

ALGORITHMS; ALZHEIMER DISEASE; ARTIFICIAL INTELLIGENCE; BRAIN; CONNECTOME; FLUORODEOXYGLUCOSE F18; HUMANS; IMAGE INTERPRETATION, COMPUTER-ASSISTED; MILD COGNITIVE IMPAIRMENT; RADIOPHARMACEUTICALS; REPRODUCIBILITY OF RESULTS; SENSITIVITY AND SPECIFICITY;

EID: 84906974132     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-319-10443-0_38     Document Type: Conference Paper

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