Randomized denoising autoencoders for smaller and efficient imaging based AD clinical trials

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

Volumn 8674 LNCS, Issue PART 2, 2014, Pages 470-478

  Ithapu, Vamsi K ^a   Singh, Vikas ^a   Okonkwo, Ozioma ^a   Johnson, Sterling C ^a,b  

^a UNIVERSITY OF WISCONSIN MADISON   (United States)

^b WILLIAM S MIDDLETON MEMORIAL VETERANS HOSPITAL   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ARTIFICIAL INTELLIGENCE; EXPERIMENTS; MEDICAL APPLICATIONS; MEDICAL IMAGING; LEARNING SYSTEMS; MEDICAL COMPUTING;

ALZHEIMER'S DISEASE; CLASSIFICATION METHODS; CLINICAL TRIAL; CLINICAL TRIAL DESIGNS; DEEP ARCHITECTURES; GROWING BODIES; MULTI-KERNEL LEARNING; STATISTICAL MACHINE LEARNING; DEEP LEARNING;

LEARNING SYSTEMS; MEDICAL IMAGING;

EID: 84906991004     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-319-10470-6_59     Document Type: Conference Paper

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