| Transformers in medical image analysis K He, C Gan, Z Li, I Rekik, Z Yin, W Ji, Y Gao, Q Wang, J Zhang, D Shen Intelligent Medicine 3 (1), 59-78, 2023 | 273 | 2023 |
| 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 | 184 | 2022 |
| Medical image analysis methods in MR/CT-imaged acute-subacute ischemic stroke lesion: Segmentation, prediction and insights into dynamic evolution simulation models. A critical … I Rekik, S Allassonnière, TK Carpenter, JM Wardlaw NeuroImage: Clinical 1 (1), 164-178, 2012 | 174 | 2012 |
| Computational neuroanatomy of baby brains: A review G Li, L Wang, PT Yap, F Wang, Z Wu, Y Meng, P Dong, J Kim, F Shi, ... NeuroImage 185, 906-925, 2019 | 157 | 2019 |
| Convolutional neural network for reconstruction of 7T-like images from 3T MRI using appearance and anatomical features K Bahrami, F Shi, I Rekik, D Shen Deep Learning and Data Labeling for Medical Applications: First …, 2016 | 144 | 2016 |
| Diagnosis of autism spectrum disorders using multi-level high-order functional networks derived from resting-state functional mri F Zhao, H Zhang, I Rekik, Z An, D Shen Frontiers in human neuroscience 12, 184, 2018 | 105 | 2018 |
| Brain multiplexes reveal morphological connectional biomarkers fingerprinting late brain dementia states I Mahjoub, MA Mahjoub, I Rekik Scientific reports 8 (1), 4103, 2018 | 86 | 2018 |
| Unsupervised Manifold Learning Using High-Order Morphological Brain Networks Derived From T1-w MRI for Autism Diagnosis M Soussia, I Rekik Frontiers in Neuroinformatics 12 (https://www.frontiersin.org/articles/10.), 70, 2018 | 74 | 2018 |
| RFDCR: Automated brain lesion segmentation using cascaded random forests with dense conditional random fields G Chen, Q Li, F Shi, I Rekik, Z Pan NeuroImage 211, 116620, 2020 | 64 | 2020 |
| 7T‐guided super‐resolution of 3T MRI K Bahrami, F Shi, I Rekik, Y Gao, D Shen Medical physics 44 (5), 1661-1677, 2017 | 60 | 2017 |
| Diagnosis of autism spectrum disorder using central-moment features from low-and high-order dynamic resting-state functional connectivity networks F Zhao, Z Chen, I Rekik, SW Lee, D Shen Frontiers in neuroscience 14, 258, 2020 | 58 | 2020 |
| Machine learning methods for brain network classification: Application to autism diagnosis using cortical morphological networks I Bilgen, G Guvercin, I Rekik Journal of neuroscience methods 343, 108799, 2020 | 56 | 2020 |
| Outcome prediction for patient with high-grade gliomas from brain functional and structural networks L Liu, H Zhang, I Rekik, X Chen, Q Wang, D Shen Medical Image Computing and Computer-Assisted Intervention–MICCAI 2016: 19th …, 2016 | 54 | 2016 |
| Disrupted topological organization of structural networks revealed by probabilistic diffusion tractography in Tourette syndrome children H Wen, Y Liu, I Rekik, S Wang, J Zhang, Y Zhang, Y Peng, H He Human brain mapping 38 (8), 3988-4008, 2017 | 52 | 2017 |
| Combining disrupted and discriminative topological properties of functional connectivity networks as neuroimaging biomarkers for accurate diagnosis of early Tourette syndrome … H Wen, Y Liu, I Rekik, S Wang, Z Chen, J Zhang, Y Zhang, Y Peng, H He Molecular neurobiology 55, 3251-3269, 2018 | 51 | 2018 |
| Joint pairing and structured mapping of convolutional brain morphological multiplexes for early dementia diagnosis A Lisowska, I Rekik, AbbVie, Alzheimer's Association, ... Brain connectivity 9 (1), 22-36, 2019 | 50 | 2019 |
| Multi-modal multiple kernel learning for accurate identification of Tourette syndrome children H Wen, Y Liu, I Rekik, S Wang, Z Chen, J Zhang, Y Zhang, Y Peng, H He Pattern Recognition 63, 601-611, 2017 | 48 | 2017 |
| Combining tract‐and atlas‐based analysis reveals microstructural abnormalities in early Tourette syndrome children H Wen, Y Liu, J Wang, I Rekik, J Zhang, Y Zhang, H Tian, Y Peng, H He Human brain mapping 37 (5), 1903-1919, 2016 | 48 | 2016 |
| Overall survival time prediction for high-grade glioma patients based on large-scale brain functional networks L Liu, H Zhang, J Wu, Z Yu, X Chen, I Rekik, Q Wang, J Lu, D Shen Brain imaging and behavior 13, 1333-1351, 2019 | 47 | 2019 |
| Gender differences in cortical morphological networks A Nebli, I Rekik Brain imaging and behavior 14 (5), 1831-1839, 2020 | 44 | 2020 |
Dinggang ShenProf. and Founding Dean, School of BME, ShanghaiTech University; Co-CEO, United Imaging IntelligenceBestätigte E-Mail-Adresse bei shanghaitech.edu.cn
