Personlig profil
Undervisnings- og vejledningsområder
Advanced Topics in Deep Learning (https://kurser.ku.dk/course/ndak24003u/2024-2025)
Advanced Deep Learning (https://kurser.ku.dk/course/ndak22002u/2023-2024)
Introduction to Data Science (https://kurser.ku.dk/course/ndak16003u/2024-2025)
Aktuel forskning
Machine learning, deep learning, artificial intelligence
Deep generative models (quality, bias, fairness, privacy)
Domain adaptation, data augmentation, transfer learning, image analysis
Robust representation learning (multimodal, heterogenous, time-series)
Brain disease modeling and prediction (Alzheimer’s, stroke, tumors, psychiatric)
Sprogkundskaber
Aserbajdsjansk, Tyrkisk, Persisk, Engelsk, Dansk
Uddannelse (Akademiske kvalifikationer)
Medical Imaging with Deep Learning, Doctor of Philosophy, Robust Modeling and Prediction of Disease Progression Using Machine Learning, University College London
Samarbejde og topforskningsområder i de sidste fem år
Publikation
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A large-scale heterogeneous 3D magnetic resonance brain imaging dataset for self-supervised learning
Cerri, S., Munk, A., Ambsdorf, J., Machnio, J., Nersesjan, V., Krag, C. H., Liu, P., García, P. R., Ghazi, M. M., Boesen, M., Benros, M. E., Iglesias, J. E. & Nielsen, M., 2026, arXiv.org, 43 s.Publikation: Working paper › Preprint
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Cross-disorder comparison of brain structures among 4836 individuals with mental disorders and controls utilizing danish population-based clinical MRI scans
Cerri, S., Nersesjan, V., Klein, K. V., Cóppulo, E. C., Llambias, S. N., Mehdipour Ghazi, M., Nielsen, M. & Benros, M. E., 2026, (E-pub ahead of print) I: Molecular Psychiatry.Publikation: Bidrag til tidsskrift › Tidsskriftartikel › Forskning › peer review
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Interactive deep learning for myocardial scar segmentation using cardiovascular magnetic resonance
Moafi, A., Moafi, D., Shergill, S., Mirkes, E. M., Adlam, D., Samani, N. J., McCann, G. P., Ghazi, M. M. & Arnold, J. R., 2026, I: Journal of Cardiovascular Magnetic Resonance. 28, 1, 13 s., 102720.Publikation: Bidrag til tidsskrift › Tidsskriftartikel › Forskning › peer review
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RARE-UNet: Resolution-Aligned Routing Entry for Adaptive Medical Image Segmentation
Winther Albertsen, S., Svaneborg Bjørnstrup, H. & Mehdipour Ghazi, M., 2026, Efficient Medical Artificial Intelligence: First International Workshop, EMA4MICCAI 2025 Held in Conjunction with MICCAI 2025 Daejeon, South Korea, September 23, 2025 Proceedings. Chen, T., Kim, J., Wu, J., Yuan, K., Navab, N., Xing, X., Du, Y., Padoy, N., Ren, H. & Bai, L. (red.). Springer, s. 268-277 (Lecture Notes in Computer Science, Bind 16318 LNCS).Publikation: Bidrag til bog/antologi/rapport › Konferencebidrag i proceedings › Forskning › peer review
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Robust Deep Learning for Myocardial Scar Segmentation in Cardiac MRI with Noisy Labels
Moafi, A., Moafi, D., Mirkes, E. M., McCann, G. P., Alatrany, A. S., Arnold, J. R. & Mehdipour Ghazi, M., 2026, Medical Image Computing and Computer Assisted Intervention, MICCAI 2025 - 28th International Conference, 2025, Proceedings. Gee, J. C., Hong, J., Sudre, C. H., Golland, P., Park, J., Alexander, D. C., Iglesias, J. E., Venkataraman, A. & Kim, J. H. (red.). Springer, s. 529-539 (Lecture Notes in Computer Science, Bind 15972 LNCS).Publikation: Bidrag til bog/antologi/rapport › Konferencebidrag i proceedings › Forskning › peer review
1 Citationer (Scopus) -
Tooth-Diffusion: Guided 3D CBCT Synthesis with Fine-Grained Tooth Conditioning
Said, S. D., Gholamalizadeh, T. & Mehdipour Ghazi, M., 2026, Oral and Dental Image Analysis: 1st International Workshop, ODIN 2025, and MICCAI Challenges, ToothFairy 2025 and STSR 2025, Held in Conjunction with MICCAI 2025, Proceedings. Bolelli, F., Lumetti, L., Grana, C., Marchesini, K., Ben-Hamadou, A., Wang, Y., Pujades, S. & Wang, S. (red.). Springer, s. 89-98 (Lecture Notes in Computer Science, Bind 16473 LNCS).Publikation: Bidrag til bog/antologi/rapport › Konferencebidrag i proceedings › Forskning › peer review
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Assessing the Efficacy of Classical and Deep Neuroimaging Biomarkers in Early Alzheimer’s Disease Diagnosis
Nielsen, M. E., Nielsen, M. & Ghazi, M. M., 2025, Medical Imaging 2025: Computer-Aided Diagnosis. Astley, S. M. & Wismuller, A. (red.). SPIE, 6 s. 1340722. (Progress in Biomedical Optics and Imaging - Proceedings of SPIE, Bind 13407).Publikation: Bidrag til bog/antologi/rapport › Konferencebidrag i proceedings › Forskning › peer review
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Cognitive aging and reserve factors in the Metropolit 1953 Danish male cohort
Mehdipour Ghazi, M., Urdanibia-Centelles, O., Bakhtiari, A., Fagerlund, B., Vestergaard, M. B., Larsson, H. B. W., Mortensen, E. L., Osler, M., Nielsen, M., Benedek, K. & Lauritzen, M., 2025, I: GeroScience. 47, s. 2475–2493 19 s.Publikation: Bidrag til tidsskrift › Tidsskriftartikel › Forskning › peer review
Åben adgangFil5 Citationer (Scopus)18 Downloads (Pure)