| Graph neural networks in network neuroscience A Bessadok, MA Mahjoub, I Rekik IEEE Transactions on Pattern Analysis and Machine Intelligence 45 (5), 5833-5848, 2022 | 247 | 2022 |
| Brain multigraph prediction using topology-aware adversarial graph neural network A Bessadok, MA Mahjoub, I Rekik Medical image analysis 72, 102090, 2021 | 25 | 2021 |
| Brain graph synthesis by dual adversarial domain alignment and target graph prediction from a source graph A Bessadok, MA Mahjoub, I Rekik Medical Image Analysis 68, 101902, 2021 | 21 | 2021 |
| Hierarchical adversarial connectomic domain alignment for target brain graph prediction and classification from a source graph A Bessadok, MA Mahjoub, I Rekik Predictive Intelligence in Medicine: Second International Workshop, PRIME …, 2019 | 15 | 2019 |
| Symmetric dual adversarial connectomic domain alignment for predicting isomorphic brain graph from a baseline graph A Bessadok, MA Mahjoub, I Rekik International Conference on Medical Image Computing and Computer-Assisted …, 2019 | 14 | 2019 |
| Topology-aware generative adversarial network for joint prediction of multiple brain graphs from a single brain graph A Bessadok, MA Mahjoub, I Rekik Medical Image Computing and Computer Assisted Intervention–MICCAI 2020: 23rd …, 2020 | 13 | 2020 |
| Residual embedding similarity-based network selection for predicting brain network evolution trajectory from a single observation AS Göktaş, A Bessadok, I Rekik Predictive Intelligence in Medicine: Third International Workshop, PRIME …, 2020 | 10 | 2020 |
| CellDeathPred: a deep learning framework for ferroptosis and apoptosis prediction based on cell painting K Schorpp, A Bessadok, A Biibosunov, I Rothenaigner, S Strasser, T Peng, ... Cell Death Discovery 9 (1), 277, 2023 | 9 | 2023 |
| A few-shot learning graph multi-trajectory evolution network for forecasting multimodal baby connectivity development from a baseline timepoint A Bessadok, A Nebli, MA Mahjoub, G Li, W Lin, D Shen, I Rekik Predictive Intelligence in Medicine: 4th International Workshop, PRIME 2021 …, 2021 | 6 | 2021 |
| Deep cross-modality and resolution graph integration for universal brain connectivity mapping and augmentation E Cinar, SE Haseki, A Bessadok, I Rekik MICCAI Workshop on Imaging Systems for GI Endoscopy, 89-98, 2022 | 4 | 2022 |
| Intact connectional morphometricity learning using multi-view morphological brain networks with application to autism spectrum disorder A Bessadok, I Rekik Connectomics in NeuroImaging: Second International Workshop, CNI 2018, Held …, 2018 | 2 | 2018 |
| Connectomics in NeuroImaging G Wu, P Laurienti, L Bonilha, B Munsell Springer,, 2017 | 2 | 2017 |
| An explainable foundation model for drug repurposing A Bessadok, F Grisoni Nature Medicine, 1-2, 2024 | 1 | 2024 |
| Inter-domain alignment for predicting high-resolution brain networks using teacher-student learning B Demir, A Bessadok, I Rekik Domain Adaptation and Representation Transfer, and Affordable Healthcare and …, 2021 | 1 | 2021 |
| Graph Residual Noise Learner Network for Brain Connectivity Graph Prediction O Demirbilek, T Peng, A Bessadok arXiv preprint arXiv:2410.00082, 2024 | | 2024 |
| Predictive Intelligence in Medicine: 4th International Workshop, PRIME 2021, Held in Conjunction with MICCAI 2021, Strasbourg, France, October 1, 2021, Proceedings I Rekik, E Adeli, SH Park, J Schnabel Springer Nature, 2021 | | 2021 |
| Residual Embedding Similarity-Based Network Selection for Predicting Brain Network Evolution Trajectory from a Single Observation A Serkan Goktas, A Bessadok, I Rekik arXiv e-prints, arXiv: 2009.11110, 2020 | | 2020 |
| Predictive Intelligence in Medicine: Second International Workshop, PRIME 2019, Held in Conjunction with MICCAI 2019, Shenzhen, China, October 13, 2019, Proceedings I Rekik, E Adeli, SH Park Springer Nature, 2019 | | 2019 |
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