Ashery Mbilinyi
I'm Assistant Professor of Computer Science at the University of Victoria currently working on medical image analysis and deep learning. I previously did research at the University of Basel working with Prof. Heiko Schuldt where I developed novel deep learning approaches for medical image retrieval and similarity search, particularly focused on chest X-rays for radiological diagnosis. My work focuses on developing AI systems to assist medical professionals in their clinical workflow. I'm particularly interested in building intelligent systems that can retrieve clinically relevant medical images to aid in differential diagnosis. I've developed methods like CheReS, a multi-faceted deep learning system that considers both visual content and clinical context when searching for similar chest X-ray cases.
Before joining UVic, I also worked on adaptive learning systems and user interfaces at the University of Electro-Communications in Japan, collaborating with Prof. Hasegawa on modeling students' learning styles. My research interests span computer vision, medical image analysis, deep learning, and human-computer interaction with a focus on developing practical AI solutions that can enhance healthcare delivery and education.
Publications
The Role of Machine Learning in the Detection of Cardiac Fibrosis from Electrocardiogram: A Scoping Review (Preprint)
Julia Handra, Hannah James, Ashery Mbilinyi, Ashley Moller-Hansen, Jason G. Andrade, M. Deyell, Cameron J. Hague, Nathaniel M Hawkins, K. Ho, Ricky Hu, Jonathon Leipsic, Callum O'Riley, Roger Tam
JMIR Cardio 2024
The State of Computer Vision Research in Africa
Abdul-Hakeem Omotayo, Ashery Mbilinyi, L. Ismaila, Houcemeddine Turki, Mahmoud Abdien, Karim Gamal, Idriss Tondji, Yvan Pimi, Naome A. Etori, Marwa Mohammed Matar, Clifford Broni-Bediako, Abigail Oppong, Mai Gamal, E. Ehab, G. Dovonon, Zainab Akinjobi, Daniel Ajisafe, O. Adegboro, Mennatullah Siam
Journal of Artificial Intelligence Research 2024
Retrieving Chest X-rays for Differential Diagnosis: A Deep Metric Learning Approach
Ashery Mbilinyi, H. Schuldt
2021 IEEE EMBS International Conference on Biomedical and Health Informatics (BHI) 2021
Cross-Modality Medical Image Retrieval with Deep Features
Ashery Mbilinyi, H. Schuldt
IEEE International Conference on Bioinformatics and Biomedicine 2020
Design for Adaptive User Interface for Modeling Students' Learning Styles
Ashery Mbilinyi, S. Hasegawa, A. Kashihara
Interacción 2016
A Survey on African Computer Vision Datasets, Topics and Researchers
Abdul-Hakeem Omotayo, Ashery Mbilinyi, L. Ismaila, Houcemeddine Turki, Mahmoud Abdien, Karim Gamal, Idriss Tondji, Yvan Pimi, Naome A. Etori, Marwa Mohammed Matar, Clifford Broni-Bediako, Abigail Oppong, Mai Gamal, E. Ehab, G. Dovonon, Zainab Akinjobi, Daniel Ajisafe, O. Adegboro, Mennatullah Siam
arXiv.org 2024
Estimation and Adaptation Method for Students’ Learning Styles on Web-based Learning Environment
Ashery Mbilinyi, S. Hasegawa