Work

Supervised Multi-View Canonical Correlation Analysis (sMVCCA): Integrating Histologic and Proteomic Features for Predicting Recurrent Prostate Cancer

Year: 2014

Type: article

Source: IEEE Transactions on Medical Imaging

DOI: 10.1109/tmi.2014.2355175

Authors: George Lee, Asha Singanamalli, Haibo Wang, Michael D. Feldman, Stephen R. Master, Natalie N. C. Shih, Elaine Spangler, Timothy Rebbeck, John E. Tomaszewski, Anant Madabhushi

Institutions: Case Western Reserve University, University of Pennsylvania, University at Buffalo, State University of New York

Language: English

Topic: Radiomics and Machine Learning in Medical Imaging

Subfield: Radiology, Nuclear Medicine and Imaging

Field: Medicine

Domain: Health Sciences

SDG: Good health and well-being

Open Access status: closed

Funders: National Institutes of Health, National Cancer Institute, National Institute of Diabetes and Digestive and Kidney Diseases

Awards: G1076473199, G2295001995, G2326171239, Prostate-cancer Imaging by Combined Ultrasound and Magnetic-resonance Parameters, Software to facilitate multimode, multiscale fused data for Pathology and Radiolo

OpenAlex ID: W1972745197

FWCI: 7.524

Cites: 75

Cited by: 93

Related to: 10