Work

Unsupervised Machine Learning Approach to Discover Subtypes of Progressive Supranuclear Palsy

Year: 2024

Type: conference-paper

Study design: Observational Study

Source: IEEE International Conference on Metrology for eXtended Reality, Artificial Intelligence and Neural Engineering (MetroXRAINE)

DOI: 10.1109/metroxraine62247.2024.10796420

Authors: Noemi Pisani, Marina Picillo, Michela Russo, Filomena Abate, Anna Rosa Avallone, Francesco Amato, Paolo Barone, Carlo Ricciardi, Mario Cesarelli

Institutions: University of Naples Federico II, University of Salerno, University of Sannio

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

OpenAlex ID: W4405755354

FWCI: 3.237

Cites: 40

Cited by: 2

Related to: 10