Mostafa Mehdipour Ghazi
Assistant Professor
Pioneer AI (P1AI)
Øster Voldgade 3
1350 København K
- 2023
- Published
Active Transfer Learning for 3D Hippocampus Segmentation
Wu, J., Kang, Zhongfeng, Llambias, Sebastian Nørgaard, Mehdipour Ghazi, Mostafa & Nielsen, Mads, 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
- E-pub ahead of print
CARRNN: A Continuous Autoregressive Recurrent Neural Network for Deep Representation Learning From Sporadic Temporal Data
Mehdipour Ghazi, Mostafa, Sørensen, L., Ourselin, S. & Nielsen, Mads, 2023, (E-pub ahead of print) In: IEEE Transactions on Neural Networks and Learning Systems. 11 p.Research output: Contribution to journal › Journal article › Research › peer-review
- Published
Deep Learning-Based Assessment of Cerebral Microbleeds in COVID-19
Ferrer, N. R., Vendela Sagar, M., Klein, Kiril Vadimovic, Kruuse, Christina Rostrup, Nielsen, Mads & Mehdipour Ghazi, Mostafa, 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
- Published
GAN-ISI: Generative Adversarial Networks Image Source Identification Using Texture Analysis
Ghazi, M. M. & Mehdipour Ghazi, Mostafa, 2023, In: CEUR Workshop Proceedings. 3497, p. 1588-1595Research output: Contribution to journal › Conference article › Research › peer-review
- Published
Partial feedback online transfer learning with multi-source domains
Kang, Zhongfeng, Nielsen, Mads, Yang, B. & Mehdipour Ghazi, Mostafa, 2023, In: Information Fusion. 89, p. 29-40Research output: Contribution to journal › Journal article › Research › peer-review
- Published
Power and distribution of evoked gamma oscillations in brain aging and cognitive performance
Bakhtiari, A., Petersen, J., Urdanibia-Centelles, O., Mehdipour Ghazi, Mostafa, Fagerlund, Birgitte, Mortensen, Erik Lykke, Osler, Merete, Lauritzen, Martin & Benedek, K., 2023, In: GeroScience. 45, p. 1523–1538 16 p.Research output: Contribution to journal › Journal article › Research › peer-review
- 2022
- Published
- 2021
- Published
CARRNN: A Continuous Autoregressive Recurrent Neural Network for Deep Representation Learning from Sporadic Temporal Data
Mehdipour Ghazi, Mostafa, Sørensen, L., Ourselin, S. & Nielsen, Mads, 2021, arXiv.org, 11 p.Research output: Working paper › Preprint › Research
- Published
Developing and validating COVID-19 adverse outcome risk prediction models from a bi-national European cohort of 5594 patients
Jimenez-Solem, E., Petersen, Tonny Studsgaard, Hansen, C., Hansen, C., Lioma, Christina, Igel, Christian, Boomsma, Wouter, Krause, Oswin, Lorenzen, S., Selvan, Raghav, Petersen, Janne, Nyeland, M. E., Ankarfeldt, Mikkel Zöllner, Virenfeldt, G. M., Winther-Jensen, M., Linneberg, Allan René, Mehdipour Ghazi, Mostafa, Detlefsen, N., Lauritzen, Andreas, Smith, Abraham George, de Bruijne, Marleen, Ibragimov, Bulat, Petersen, Jens, Lillholm, Martin, Middleton, Jon Anthony, Mogensen, S. H., Thorsen-Meyer, H., Perner, Anders, Helleberg, M., Kaas-Hansen, Benjamin Skov, Bonde, M., Bonde, A., Pai, A., Nielsen, Mads & Sillesen, Martin Hylleholt, 2021, In: Scientific Reports. 11, 1, 12 p., 3246.Research output: Contribution to journal › Journal article › Research › peer-review
- Published
Robust parametric modeling of Alzheimer's disease progression
Mehdipour Ghazi, Mostafa, Nielsen, Mads, 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
ID: 204203641
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187
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Developing and validating COVID-19 adverse outcome risk prediction models from a bi-national European cohort of 5594 patients
Research output: Contribution to journal › Journal article › Research › peer-review
Published -
51
downloads
Robust training of recurrent neural networks to handle missing data for disease progression modeling
Research output: Contribution to conference › Paper › Research
Published -
39
downloads
Robust parametric modeling of Alzheimer's disease progression
Research output: Contribution to journal › Journal article › Research › peer-review
Published