Mostafa Mehdipour Ghazi

Mostafa Mehdipour Ghazi

Assistant Professor

ORCID: 0000-0002-8473-281X

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  1. Published

    Training recurrent neural networks robust to incomplete data: application to Alzheimer’s disease progression modeling

    Mehdipour Ghazi, Mostafa, Nielsen, Mads, Pai, A. S. U., Cardoso, M. J., Modat, M., Ourselin, S. & Sørensen, L., 2019, In: Medical Image Analysis. 53, p. 39-46

    Research output: Contribution to journal › Journal article › Research › peer-review

  2. Published

    Robust training of recurrent neural networks to handle missing data for disease progression modeling

    Mehdipour Ghazi, Mostafa, Nielsen, Mads, Pai, A. S. U., Cardoso, M. J., Modat, M., Ourselin, S. & Sørensen, L., 2018. 9 p.

    Research output: Contribution to conference › Paper › Research

  3. 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

  4. Published

    Power and distribution of evoked gamma oscillations in brain aging and cognitive performance

    Bakhtiari, Aftab, Petersen, J., Urdanibia-Centelles, O., Mehdipour Ghazi, Mostafa, Fagerlund, Birgitte, Mortensen, Erik Lykke, Osler, Merete, Lauritzen, Martin & Benedek, Krisztina, 2023, In: GeroScience. 45, p. 1523–1538 16 p.

    Research output: Contribution to journal › Journal article › Research › peer-review

  5. 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. 29-40

    Research output: Contribution to journal › Journal article › Research › peer-review

  6. Published

    On the initialization of long short-term memory networks

    Mehdipour Ghazi, Mostafa, Nielsen, Mads, 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

  7. Published

    MRI Biomarkers Improve Disease Progression Modeling-Based Prediction of Cognitive Decline

    Mehdipour Ghazi, Mostafa, Nielsen, Mads, 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

  8. Published

    Heterogeneous Learning for Brain Lesion Segmentation, Detection, and Classification

    Llambias, Sebastian Nørgaard, Nielsen, Mads & Mehdipour Ghazi, Mostafa, 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

  9. 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. 1588-1595

    Research output: Contribution to journal › Conference article › Research › peer-review

  10. Published

    FAST-AID Brain: Fast and Accurate Segmentation Tool using Artificial Intelligence Developed for Brain

    Mehdipour Ghazi, Mostafa & Nielsen, Mads, 2022, arXiv.org, 18 p.

    Research output: Working paper › Preprint › Research

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