The Finnish Association for Artificial Intelligence has selected the doctoral dissertation
Machine Learning Algorithms for Computer-aided Diagnosis of Myocardial Infarction from 2D Echocardiography and COVID-19 from Chest X-ray
by
Aysen Degerli Ahishali
as the recipient of the Finnish AI Dissertation Award 2024, awarded annually to an outstanding dissertation in artificial intelligence defended at a Finnish university. The thesis was completed at the Faculty of Information Technology and Communication Sciences, Tampere University, Center for Visual and Decision Informatics.
Aysen Degerli Ahishali’s dissertation lies at the intersection of artificial intelligence, medical imaging, and healthcare applications. In her work, she has developed novel machine learning methods to support the diagnosis of myocardial infarction from 2D echocardiography and COVID-19 from chest X-ray images. The research exemplifies methodological innovation, the release of new datasets, and strong interdisciplinarity bridging computer science and medicine. Furthermore, parts of the dissertation have been published in leading international journals, underlining the global significance of the results.
The award committee emphasized the exemplary execution of the dissertation, thorough summary, creation of publicly available datasets, cross-disciplinary approach, and methodological contributions to medical image analysis as key justifications for granting the award.
Aysen Degerli Ahishali will be honored at the AI Day 2025 on Thursday 13.11. 12:30 am.
Runner-up
The award committee also recognized outstanding dissertations as runner-up for the Finnish AI Dissertation Award 2024.
– Dr. Shuzhe Wang (Aalto University): Deep Learning Methods for Point Matching, Visual Localization, and 3D Reconstruction
The committee highlighted that the runner-up presented clearly field-advancing methods, which have already been adopted in companies and other research groups, and have resulted in top-tier publications.