Research output per year
Research output per year
Research output
- 19 results
Search results
-
2025
Non-reference Quality Assessment for Medical Imaging: Application to Synthetic Brain MRIs
Van Eeden Risager, K., Gholamalizadeh, T. & Mehdipour Ghazi, M., 2025, Deep Generative Models - 4th MICCAI Workshop, DGM4MICCAI 2024, Held in Conjunction with MICCAI 2024, Proceedings. Mukhopadhyay, A., Oksuz, I., Engelhardt, S., Mehrof, D. & Yuan, Y. (eds.). Springer, p. 191-201 11 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), Vol. 15224 LNCS).Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
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2024
CARRNN: A Continuous Autoregressive Recurrent Neural Network for Deep Representation Learning From Sporadic Temporal Data
Ghazi, M. M., Sørensen, L., Ourselin, S. & Nielsen, M., 2024, In: IEEE Transactions on Neural Networks and Learning Systems. 35, 1, p. 792-802Research output: Contribution to journal › Journal article › Research › peer-review
File18 Downloads (Pure) -
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., 2024, (E-pub ahead of print) In: GeroScience.Research output: Contribution to journal › Journal article › Research › peer-review
Open Access -
Comparative analysis of multimodal biomarkers for amyloid-beta positivity detection in Alzheimer's disease cohorts
Mehdipour Ghazi, M., Selnes, P., Timón-Reina, S., Tecelão, S., Ingala, S., Bjørnerud, A., Kirsebom, B. E., Fladby, T. & Nielsen, M., 2024, In: Frontiers in Aging Neuroscience. 16, 1345417.Research output: Contribution to journal › Journal article › Research › peer-review
Open AccessFile1 Citation (Scopus)9 Downloads (Pure) -
COVID-19-associated cerebral microbleeds in the general population
Sagar, M. V., Ferrer, N. R., Mehdipour Ghazi, M., Klein, K. V., Jimenez-Solem, E., Nielsen, M. & Kruuse, C., 2024, In: Brain Communications. 6, 3, fcae127.Research output: Contribution to journal › Journal article › Research › peer-review
Open AccessFile1 Citation (Scopus)9 Downloads (Pure) -
Heterogeneous Learning for Brain Lesion Segmentation, Detection, and Classification
Llambias, S. N., Nielsen, M. & Ghazi, M. M., 2024, Proceedings of the 5th Northern Lights Deep Learning Conference ({NLDL}). PMLR, p. 138-144 (Proceedings of Machine Learning Research, Vol. 233).Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
Open AccessFile12 Downloads (Pure) -
2023
Active Transfer Learning for 3D Hippocampus Segmentation
Wu, J., Kang, Z., Llambias, S. N., Ghazi, M. M. & Nielsen, M., 2023, Medical Image Learning with Limited and Noisy Data - 2nd International Workshop, MILLanD 2023, Held in Conjunction with MICCAI 2023, Proceedings. Xue, Z., Antani, S., Zamzmi, G., Yang, F., Rajaraman, S., Liang, Z., Huang, S. X. & Linguraru, M. G. (eds.). Springer, p. 224-234 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), Vol. 14307 LNCS).Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
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Deep Learning-Based Assessment of Cerebral Microbleeds in COVID-19
Ferrer, N. R., Vendela Sagar, M., Klein, K. V., Kruuse, C., Nielsen, M. & Ghazi, M. M., 2023, 2023 IEEE International Symposium on Biomedical Imaging, ISBI 2023. IEEE Computer Society Press, p. 1-4 4 p. (Proceedings - International Symposium on Biomedical Imaging, Vol. 2023-April).Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
Open Access1 Citation (Scopus) -
GAN-ISI: Generative Adversarial Networks Image Source Identification Using Texture Analysis
Ghazi, M. M. & Ghazi, M. M., 2023, In: CEUR Workshop Proceedings. 3497, p. 1588-1595Research output: Contribution to journal › Conference article › Research › peer-review
Open AccessFile1 Citation (Scopus)11 Downloads (Pure) -
Partial feedback online transfer learning with multi-source domains
Kang, Z., Nielsen, M., Yang, B. & Ghazi, M. M., 2023, In: Information Fusion. 89, p. 29-40Research output: Contribution to journal › Journal article › Research › peer-review
8 Citations (Scopus) -
Power and distribution of evoked gamma oscillations in brain aging and cognitive performance
Bakhtiari, A., Petersen, J., Urdanibia-Centelles, O., Ghazi, M. M., Fagerlund, B., Mortensen, E. L., Osler, M., Lauritzen, M. & Benedek, K., 2023, In: GeroScience. 45, p. 1523–1538 16 p.Research output: Contribution to journal › Journal article › Research › peer-review
Open Access3 Citations (Scopus) -
2022
FAST-AID Brain: Fast and Accurate Segmentation Tool using Artificial Intelligence Developed for Brain
Mehdipour Ghazi, M. & Nielsen, M., 2022, arXiv.org, 18 p.Research output: Working paper › Preprint › Research
Open AccessFile35 Downloads (Pure) -
2021
CARRNN: A Continuous Autoregressive Recurrent Neural Network for Deep Representation Learning from Sporadic Temporal Data
Mehdipour Ghazi, M., Sørensen, L., Ourselin, S. & Nielsen, M., 2021, arXiv.org, 11 p.Research output: Working paper › Preprint › Research
Open AccessFile19 Downloads (Pure) -
Developing and validating COVID-19 adverse outcome risk prediction models from a bi-national European cohort of 5594 patients
Jimenez-Solem, E., Petersen, T. S., Hansen, C., Hansen, C., Lioma, C., Igel, C., Boomsma, W., Krause, O., Lorenzen, S., Selvan, R., Petersen, J., Nyeland, M. E., Ankarfeldt, M. Z., Virenfeldt, G. M., Winther-Jensen, M., Linneberg, A., Ghazi, M. M., Detlefsen, N., Lauritzen, A. D., Smith, A. G. & 15 others, , 2021, In: Scientific Reports. 11, 1, 12 p., 3246.Research output: Contribution to journal › Journal article › Research › peer-review
Open AccessFile55 Citations (Scopus)293 Downloads (Pure) -
Robust parametric modeling of Alzheimer's disease progression
Mehdipour Ghazi, M., Nielsen, M., Pai, A., Modat, M., Jorge Cardoso, M., Ourselin, S. & Sørensen, L., 2021, In: NeuroImage. 225, 12 p., 117460.Research output: Contribution to journal › Journal article › Research › peer-review
Open AccessFile21 Citations (Scopus)66 Downloads (Pure) -
2019
MRI Biomarkers Improve Disease Progression Modeling-Based Prediction of Cognitive Decline
Mehdipour Ghazi, M., Nielsen, M., Pai, A. S. U., Modat, M., Cardoso, J., Ourselin, S. & Sorensen, L., 2019. 1 p.Research output: Contribution to conference › Conference abstract for conference › Research
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On the initialization of long short-term memory networks
Mehdipour Ghazi, M., Nielsen, M., Pai, A., Modat, M., Cardoso, M. J., Ourselin, S. & Sørensen, L., 2019, Neural Information Processing - 26th International Conference, ICONIP 2019, Proceedings. Gedeon, T., Wong, K. W. & Lee, M. (eds.). Springer VS, p. 275-286 12 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), Vol. 11953 LNCS).Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
5 Citations (Scopus) -
Training recurrent neural networks robust to incomplete data: application to Alzheimer’s disease progression modeling
Mehdipour Ghazi, M., Nielsen, M., Pai, A. S. U., Cardoso, M. J., Modat, M., Ourselin, S. & Sørensen, L., 2019, In: Medical Image Analysis. 53, p. 39-46Research output: Contribution to journal › Journal article › Research › peer-review
94 Citations (Scopus) -
2018
Robust training of recurrent neural networks to handle missing data for disease progression modeling
Mehdipour Ghazi, M., Nielsen, M., Pai, A. S. U., Cardoso, M. J., Modat, M., Ourselin, S. & Sørensen, L., 2018. 9 p.Research output: Contribution to conference › Paper › Research
Open AccessFile78 Downloads (Pure)