Publications

Aerial Close Quarter Inspection

Published in , 2026

title: “Autonomous aerial system for intelligent close-quarter inspection” collection: publications permalink: /publication/2026-aerial-close-quarter-inspection excerpt: ‘A low-cost autonomous UAV that navigates GPS-denied industrial structures using visual-inertial odometry and detects cracks and corrosion onboard (98.44% / 72.33% mAP@50). Open access.’ date: 2026-05-05 venue: ‘International Journal of Intelligent Robotics and Applications’ paperurl: ‘https://link.springer.com/article/10.1007/s41315-026-00537-8’ citation: ‘Reyes-Munoz, J. A., Ortega, A. G., Rizia, M. M., Choudhuri, A., & Flores-Abad, A. (2026). "Autonomous aerial system for intelligent close-quarter inspection." International Journal of Intelligent Robotics and Applications.’ —

Disentangling Blood-Based Markers of Multiple Sclerosis Through Machine Learning: An Evaluation Study

Published in MedInfo 2025 — Studies in Health Technology and Informatics (IOS Press), 2025

A machine-learning evaluation study identifying non-invasive, blood-based markers of multiple sclerosis to support earlier, less-invasive detection.

Recommended citation: Vlieger, R., Rizia, M. M., Amjadipour, A., Cherbuin, N., Brüstle, A., & Suominen, H. (2025). "Disentangling Blood-Based Markers of Multiple Sclerosis Through Machine Learning: An Evaluation Study." MedInfo 2025, Studies in Health Technology and Informatics (IOS Press). https://www.medrxiv.org/content/10.1101/2025.04.02.25325148v1

Understanding the Development of Disease in Radiology Scans of the Brain through Deep Generative Modelling

Published in IEEE International Conference on Bioinformatics and Biomedicine (BIBM) 2024, 2024

Deep generative models that re-paint abnormal brain MRI to normal-appearing scans — so realistic that expert radiologists distinguished them from real scans only 51.67% of the time.

Recommended citation: Rizia, M. M., Xu, C., Roberts, J., Barrett, L., Karunasena, S., Edelstein, S., & Suominen, H. (2024). "Understanding the Development of Disease in Radiology Scans of the Brain through Deep Generative Modelling." 2024 IEEE International Conference on Bioinformatics and Biomedicine (BIBM). https://ieeexplore.ieee.org/document/10822442/

Published in , 1900

A CAM/AM-based Trajectory Generation Method for Aerial Power Plant Inspection in GPS-denied Environments

Published in AIAA SciTech 2020 Forum, 2020

A trajectory-generation method for autonomous power-plant inspection drones operating without GPS, presented at AIAA SciTech 2020.

Recommended citation: Rizia, M. M., Reyes-Munoz, J. A., Ortega, A. G., Choudhuri, A., & Flores-Abad, A. (2020). "A CAM/AM-based Trajectory Generation Method for Aerial Power Plant Inspection in GPS-denied Environments." AIAA SciTech 2020 Forum. https://arc.aiaa.org/doi/abs/10.2514/6.2020-0858