Projects per year
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Dive into the research topics where Marco Agus is active. These topic labels come from the works of this person. Together they form a unique fingerprint.
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Collaborations and top research areas from the last five years
Recent external collaboration on country/territory level. Dive into details by clicking on the dots or
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HBKU-OVPR-TG-03-23: Investigating the pervasiveness and distribution of known and unknown antimicrobial resistance genes, coupled with toxic metabolite production, in Qatar: A comprehensive study across various sectors for AI modeling.
Mahmoud, K. A. (Principal Investigator), Aouida, M. (Principal Investigator), Ramotar, D. (Lead Principal Investigator), Agus, M. (Principal Investigator), Desmond, P. (Principal Investigator) & Ahmed, W. (Research Assistant)
1/11/25 → 31/10/27
Project: Applied Research
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HBKU-OVPR-TG-03-8: 3G: Gaze, Guide, and Grasp: LLM-Augmented Immersive Experiences for Qatar’s Heritage Sites
Schneider, J. (Principal Investigator), Mikros, G. (Principal Investigator), Agus, M. (Lead Principal Investigator) & Al-Zubaidi, M. S. H. (Post Doctoral Fellow)
1/11/25 → 31/10/27
Project: Applied Research
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EX-QNRF-PPM-37: AMAL-For-Qatar: Advancing Precision Medicine with AI-Mediated for Fetal Life through Ultrasound Video Analysis
Househ, M. (Principal Investigator), Agus, M. (Lead Principal Investigator), Awwad, J. (Principal Investigator), Alyafei, K. (Principal Investigator), Alberry, M. (Principal Investigator), Bishtawi, D. M. (Principal Investigator), Abbes, I. (Graduate Student), Shaffique, H. (Graduate Student), Muaz, R. (Graduate Student) & Tukur, M. M. (Research Assistant)
1/01/25 → 1/01/28
Project: Basic Research
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HBKU-OVPR-TG-Cycle-2-19: Large-Scale Human-in-the-Loop Histopathology Dataset Creation and AI Models for Clinical Pediatrics Applications
Agus, M. (Principal Investigator), Architect, N. S. D. L. (Principal Investigator), Mifsud, W. (Principal Investigator), Schneider, J. (Lead Principal Investigator) & Gilal, N. U. I. (Post Doctoral Fellow)
1/06/23 → 30/11/25
Project: Applied Research
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EX-QNRF-NPRPS-16: AIN2: Artificial Intelligence for Indoor Digital Twins
Agus, M. (Lead Principal Investigator), Tukur, M. (Graduate Student), Engineer-1 (Engineer), Assistant-1, R. (Research Assistant), Gobbetti, D. E. (Principal Investigator), Fetais, D. N. (Principal Investigator), Tukur, M. M. (Research Assistant), Jashari, S. (Graduate Student) & Atiyah, M. N. (Consultant)
15/11/22 → 15/05/26
Project: Basic Research
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AMAL-For-Qatar: A Comprehensive AI Ecosystem for Fetal Ultrasound Analysis Project Overview and Achievements
Alzubaidi, M., Abbes, I., Muaz, R., Magram, A., Agus, M. & Househ, M., 29 Jun 2026, Health Sciences Informatics Leads and Empowers the Digital Health Transformation - 24th International Conference on Informatics, Management, and Technology in Healthcare, ICIMTH 2026. Mantas, J., Hasman, A., Gallos, P., Haux, R. & Karitis, K. (eds.). IOS Press BV, p. 768-772 5 p. (Studies in Health Technology and Informatics; vol. 338).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review
Open Access -
A Semi-automatic Annotation Framework for Neutrophil Ultrastructure from TEM Images
Ahmad, Z., Alzubaidi, M., Nour-Eldine, W., Ltaief, S. M., Schneider, J., Al-Shammari, A. R. & Agus, M., 30 Jul 2026, Pattern Recognition and Image Analysis - 12th Iberian Conference, IbPRIA 2025, Proceedings. Gonçalves, N., Oliveira, H. P. & Sánchez, J. A. (eds.). Springer Science and Business Media Deutschland GmbH, p. 285-299 15 p. (Lecture Notes in Computer Science; vol. 15937 LNCS).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review
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Benchmarking Vision LLMs in fetal ultrasound interpretation: a five-point expert evaluation of standard vs. custom prompts
ELsharif, W., Alzubaidi, M., Tukur, M., Magram, A., Anver, F., Hamza, A., Said, S., Khan, R., Househ, M. & Agus, M., Dec 2026, In: BioMedical Engineering Online. 25, 1, 6.Research output: Contribution to journal › Article › peer-review
Open Access2 Link opens in a new tab Citations (Scopus) -
Beyond Accuracy: Assessing the Trustworthiness of Deep Learning Models for Coronary CT Angiography
Bougrid, K., Ammar, M., Laidi, A., Alzubaidi, M., Agus, M., Househ, M. & Daho, M. E. H., 14 Apr 2026, In: IEEE Access. 14, p. 59993-60010 18 p.Research output: Contribution to journal › Article › peer-review
Open Access -
DepthPlay-Agent: Agentic Learning and Fusion for Depth Estimation
Majeed, F., Nazir, M., Lu, Z., Agus, M. & Schneider, J., 15 Jun 2026, In: IEEE Open Journal of Signal Processing. 7, p. 678-687 10 p.Research output: Contribution to journal › Article › peer-review
Open Access