Work

Deep embeddings for novelty detection in myopathy

Year: 2018

Type: article

Source: Computers in Biology and Medicine

DOI: 10.1016/j.compbiomed.2018.12.006

Authors: Philippe Burlina, Neil Joshi, Seth Billings, I-Jeng Wang, Jemima Albayda

Institutions: Johns Hopkins University, Johns Hopkins University Applied Physics Laboratory, Johns Hopkins Medicine

Language: English

Topic: Anomaly Detection Techniques and Applications

Subfield: Artificial Intelligence

Field: Computer Science

Domain: Physical Sciences

SDG: Good health and well-being

Open Access status: closed

Funders: Johns Hopkins University, Jerome L. Greene Foundation

OpenAlex ID: W2904131663

FWCI: 1.256

Cites: 40

Cited by: 20

Related to: 10