Multi-scale semi-supervised clustering of brain images: Deriving disease subtypes
Junhao Wen, Erdem Varol, Aristeidis Sotiras, Zhijian Yang, Ganesh B. Chand, Güray Erus, Haochang Shou, Ahmed Abdulkadir, Gyujoon Hwang, Dominic Dwyer, Alessandro Pigoni, Paola Dazzan, René S. Kahn, Hugo G. Schnack, Marcus V. Zanetti, Eva Meisenzahl, Geraldo F. Busatto, Benedicto Crespo‐Facorro, Romero-Garcia Rafael, Christos Pantelis, Stephen J. Wood, Chuanjun Zhuo, Russell T. Shinohara, Yong Fan, Ruben C. Gur, Raquel E. Gur, Theodore D. Satterthwaite, Nikolaos Koutsouleris, Daniel H. Wolf, Christos Davatzikos
Topics & Concepts
Cluster analysisArtificial intelligenceComputer sciencePattern recognition (psychology)Machine learningScale (ratio)Identification (biology)Unsupervised learningData miningBiologyCartographyGeographyBotanyMachine Learning in HealthcareBioinformatics and Genomic NetworksBiomedical Text Mining and Ontologies