Projects per year
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
Projects
- 1 Active
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van Wingen G.A.: Neuroimaging in Psychiatry
van Leeuwen, W., Liebrand, L., Scheepens, D., van der Straten, A., Zhutovsky, P., van Wingen, G., Thomas, R., Bruin, W., Eijsker, N., El-Gazzar, A., Fridgeirsson, E., Liu, S., Meijs, H., Prentice, A., Votterl, H., Yucel, D., Zhutovsky, P. & van de Mortel, L.
15/11/2020 → …
Project: Research
Research output
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Phenotyping functional brain dynamics: A deep learning prespective on psychiatry
Elgazzar, A. G. M. A. & El-Gazzar, A. G. M. A., 2024, 198 p.Research output: PhD Thesis › Phd-Thesis - Research and graduation internal
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Functional connectivity signatures of major depressive disorder: machine learning analysis of two multicenter neuroimaging studies
PsyMRI, Jul 2023, In: Molecular psychiatry. 28, 7, p. 3013-3022 10 p.Research output: Contribution to journal › Article › Academic › peer-review
Open Access16 Citations (Scopus) -
fMRI-S4: Learning Short- and Long-Range Dynamic fMRI Dependencies Using 1D Convolutions and State Space Models
el-Gazzar, A., Thomas, R. M. & van Wingen, G., 2022, Machine Learning in Clinical Neuroimaging - 5th International Workshop, MLCN 2022, Held in Conjunction with MICCAI 2022, Proceedings. Abdulkadir, A., Bathula, D. R., Dvornek, N. C., Habes, M., Kia, S. M., Kumar, V. & Wolfers, T. (eds.). Springer Science and Business Media Deutschland GmbH, Vol. 13596 LNCS. p. 158-168 11 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 13596 LNCS).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review
2 Citations (Scopus) -
Dynamic Adaptive Spatio-Temporal Graph Convolution for fMRI Modelling
el-Gazzar, A., Thomas, R. M. & van Wingen, G., 2021, Machine Learning in Clinical Neuroimaging - 4th International Workshop, MLCN 2021, Held in Conjunction with MICCAI 2021, Proceedings. Abdulkadir, A., Kia, S. M., Habes, M., Kumar, V., Rondina, J. M., Tax, C. & Wolfers, T. (eds.). Springer Science and Business Media Deutschland GmbH, Vol. 13001 LNCS. p. 125-134 10 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 13001 LNCS).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review
8 Citations (Scopus) -
Classifying Autism Spectrum Disorder Using the Temporal Statistics of Resting-State Functional MRI Data With 3D Convolutional Neural Networks
Thomas, R. M., Gallo, S., Cerliani, L., Zhutovsky, P., el-Gazzar, A. & van Wingen, G., 15 May 2020, In: Frontiers in psychiatry. 11, 440.Research output: Contribution to journal › Article › Academic › peer-review
Open Access83 Citations (Scopus)