IEEE Access (Jan 2024)
Corrections to “Innovations in Stroke Identification: A Machine Learning-Based Diagnostic Model Using Neuroimages”
- Muhammad Asim Saleem,
- Ashir Javeed,
- Wasan Akarathanawat,
- Aurauma Chutinet,
- Nijasri Charnnarong Suwanwela,
- Widhyakorn Asdornwised,
- Surachai Chaitusaney,
- Sunchai Deelertpaiboon,
- Wattanasak Srisiri,
- Watit Benjapolakul,
- Pasu Kaewplung
Affiliations
- Muhammad Asim Saleem
- ORCiD
- Department of Electrical Engineering, Faculty of Engineering, Center of Excellence in Artificial Intelligence, Machine Learning, and Smart Grid Technology, Chulalongkorn University, Bangkok, Thailand
- Ashir Javeed
- ORCiD
- Aging Research Center, Karolinska Institutet, Stockholm, Sweden
- Wasan Akarathanawat
- Department of Medicine, Faculty of Medicine, Division of Neurology, Chulalongkorn University, Bangkok, Thailand
- Aurauma Chutinet
- ORCiD
- Department of Medicine, Faculty of Medicine, Division of Neurology, Chulalongkorn University, Bangkok, Thailand
- Nijasri Charnnarong Suwanwela
- Department of Medicine, Faculty of Medicine, Division of Neurology, Chulalongkorn University, Bangkok, Thailand
- Widhyakorn Asdornwised
- Department of Electrical Engineering, Faculty of Engineering, Center of Excellence in Artificial Intelligence, Machine Learning, and Smart Grid Technology, Chulalongkorn University, Bangkok, Thailand
- Surachai Chaitusaney
- ORCiD
- Department of Electrical Engineering, Faculty of Engineering, Center of Excellence in Artificial Intelligence, Machine Learning, and Smart Grid Technology, Chulalongkorn University, Bangkok, Thailand
- Sunchai Deelertpaiboon
- Department of Electrical Engineering, Faculty of Engineering, Center of Excellence in Artificial Intelligence, Machine Learning, and Smart Grid Technology, Chulalongkorn University, Bangkok, Thailand
- Wattanasak Srisiri
- Department of Electrical Engineering, Faculty of Engineering, Center of Excellence in Artificial Intelligence, Machine Learning, and Smart Grid Technology, Chulalongkorn University, Bangkok, Thailand
- Watit Benjapolakul
- ORCiD
- Department of Electrical Engineering, Faculty of Engineering, Center of Excellence in Artificial Intelligence, Machine Learning, and Smart Grid Technology, Chulalongkorn University, Bangkok, Thailand
- Pasu Kaewplung
- ORCiD
- Department of Electrical Engineering, Faculty of Engineering, Center of Excellence in Artificial Intelligence, Machine Learning, and Smart Grid Technology, Chulalongkorn University, Bangkok, Thailand
- DOI
- https://doi.org/10.1109/ACCESS.2024.3445789
- Journal volume & issue
-
Vol. 12
pp. 116085 – 116085
Abstract
Presents corrections to the paper, Innovations in Stroke Identification: A Machine Learning-Based Diagnostic Model Using Neuroimages.
