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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
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Fusing Structural and Functional MRIs using Graph Convolutional Networks for Autism Classification
Arya, D., Olij, R., Gupta, D., Elgazzar, A. G. M. A., van Wingen, G. A., Worring, M. & Thomas, R. M., 2020.Research output: Contribution to conference › Paper › Academic
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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. 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
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