Research output per year
Research output per year
Search results
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2022
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
1 Citation (Scopus) -
2021
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) -
Transformer-Based Deep Survival Analysis
Hu, S., Fridgeirsson, E. A., van Wingen, G. & Welling, M., 2021, Proceedings of AAAI Spring Symposium on Survival Prediction - Algorithms, Challenges and Applications 2021. Greiner, R., Kumar, N., Gerds, T. A. & van der Schaar, M. (eds.). ML Research Press, Vol. 146. p. 132-148 (Proceedings of Machine Learning Research).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review
18 Citations (Scopus) -
2019
A Hybrid 3DCNN and 3DC-LSTM Based Model for 4D Spatio-Temporal fMRI Data: An ABIDE Autism Classification Study
el-Gazzar, A., Quaak, M., Cerliani, L., Bloem, P., van Wingen, G. & Mani Thomas, R., 2019, OR 2.0 Context-Aware Operating Theaters and Machine Learning in Clinical Neuroimaging - 2nd International Workshop, OR 2.0 2019, and 2nd International Workshop, MLCN 2019, Held in Conjunction with MICCAI 2019, Proceedings. Zhou, L., Sarikaya, D., Kia, S. M., Speidel, S., Malpani, A., Hashimoto, D., Habes, M., Löfstedt, T., Ritter, K. & Wang, H. (eds.). Springer, Vol. 11796 LNCS. p. 95-102 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review
Open Access28 Citations (Scopus) -
Simple 1-D Convolutional Networks for Resting-State fMRI Based Classification in Autism
el Gazzar, A., Cerliani, L., van Wingen, G. & Thomas, R. M., 2019, 2019 International Joint Conference on Neural Networks, IJCNN 2019. Institute of Electrical and Electronics Engineers Inc., Vol. 2019-July. 8852002. (Proceedings of the International Joint Conference on Neural Networks).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review
26 Citations (Scopus) -
2018
Deep learning in medical imaging: FMRI big data analysis via convolutional neural networks: FMRI big data analysis via convolutional neural networks
Tahmassebi, A., Schulte, M. H. J., Gandomi, A. H., Goudriaan, A. E., McCann, I. & Meyer-Baese, A., 22 Jul 2018, Practice and Experience in Advanced Research Computing 2018: Seamless Creativity, PEARC 2018: Seamless Creativity, PEARC 2018. Association for Computing Machinery, a85. (ACM International Conference Proceeding Series).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review
9 Citations (Scopus) -
2017
An evolutionary approach for fMRI big data classification
Tahmassebi, A., Gandomi, A. H., McCann, I., Schulte, M. H., Schmaal, L., Goudriaan, A. E. & Meyer-Baese, A., 5 Jul 2017, 2017 IEEE Congress on Evolutionary Computation, CEC 2017 - Proceedings. Institute of Electrical and Electronics Engineers Inc., p. 1029-1036 8 p. 7969421. (2017 IEEE Congress on Evolutionary Computation, CEC 2017 - Proceedings).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review
18 Citations (Scopus) -
2016
Functional connectivity analysis of resting-state fMRI networks in nicotine dependent patients
Smith, A., Ehtemami, A., Fratte, D., Meyer-Baese, A., Zavala-Romero, O., Goudriaan, A. E., Schmaal, L. & Schulte, M. H. J., 1 Jan 2016, Medical Imaging 2016: Biomedical Applications in Molecular, Structural, and Functional Imaging. Gimi, B. & Krol, A. (eds.). SPIE, 978827. (Progress in Biomedical Optics and Imaging - Proceedings of SPIE; vol. 9788).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review
4 Citations (Scopus)