Please note that maintenance work is scheduled between 4 AM and 5 AM - CET.
During this time, you may experience reduced performance.
Thanks for your patience.
in (world ranking)
Serestina Viriri
Joined Sep 2026
University of KwaZulu-Natal · Medical imaging
Top 1% South Africa expert in Deep Learning, Machine Learning, Artificial Intelligence, Psychology, Educational, Computing Methodologies
Serestina Viriri is an expert in Medical imaging at University of KwaZulu-Natal (South Africa). As of October 2026, ScienceLeadR ranks Serestina Viriri in the top 1% of experts in South Africa for Deep Learning, Machine Learning and Artificial Intelligence. Serestina Viriri has authored 99 publications, the most recent in 2026. SLR score: 296 (community average: 125). How the SLR is computed.
To provide the best experience, we use technologies such as cookies to store and/or access device information. Consenting to these technologies will allow us to process data such as browsing behavior or unique IDs on this site. Failure to consent or withdrawal of consent may adversely affect certain features and functions.
Functional
Always active
Storage or technical access is strictly necessary for the legitimate purpose of enabling the use of a specific service explicitly requested by the subscriber or user, or for the sole purpose of transmitting a communication over an electronic communications network.
Preferences
The technical storage or access is necessary for the legitimate purpose of storing preferences that are not requested by the subscriber or user.
Statistics
Storage or technical access used exclusively for statistical purposes.The technical storage or access that is used exclusively for anonymous statistical purposes. Without a subpoena, voluntary compliance on the part of your Internet Service Provider, or additional records from a third party, information stored or retrieved for this purpose alone cannot usually be used to identify you.
Marketing
Storage or technical access is necessary to create user profiles in order to send advertisements, or to track the user on a website or on several websites with similar marketing purposes.
