| Local vulnerability and global connectivity jointly shape neurodegenerative disease propagation YQ Zheng, Y Zhang, Y Yau, Y Zeighami, K Larcher, B Misic, A Dagher PLoS biology 17 (11), e3000495, 2019 | 99 | 2019 |
| Differentially targeted seeding reveals unique pathological alpha-synuclein propagation patterns S Rahayel, B Mišić, YQ Zheng, ZQ Liu, A Abdelgawad, N Abbasi, ... Brain 145 (5), 1743-1756, 2022 | 38 | 2022 |
| Mišić, B. abagen: A toolbox for the Allen Brain Atlas genetics data R Markello, G Shafiei, YQ Zheng Zenodo10 5281, 2020 | 33 | 2020 |
| Network topology of the marmoset connectome ZQ Liu, YQ Zheng, B Misic Network Neuroscience 4 (4), 1181-1196, 2020 | 16 | 2020 |
| Heritability of cortical morphology reflects a sensory-fugal plasticity gradient U Vainik, C Paquola, X Wang, Y Zheng, B Bernhardt, B Misic, A Dagher BioRxiv, 2020.11. 03.366419, 2020 | 15 | 2020 |
| Accurate predictions of individual differences in task-evoked brain activity from resting-state fMRI using a sparse ensemble learner YQ Zheng, SR Farahibozorg, W Gong, H Rafipoor, S Jbabdi, S Smith NeuroImage 259, 119418, 2022 | 14 | 2022 |
| Brain atrophy in prodromal synucleinopathy is shaped by structural connectivity and gene expression S Rahayel, C Tremblay, A Vo, YQ Zheng, S Lehéricy, I Arnulf, M Vidailhet, ... Brain 145 (9), 3162-3178, 2022 | 14 | 2022 |
| Supervised phenotype discovery from multimodal brain imaging W Gong, S Bai, YQ Zheng, SM Smith, CF Beckmann IEEE Transactions on Medical Imaging 42 (3), 834-849, 2022 | 9 | 2022 |
| Predicting longitudinal brain atrophy in Parkinson’s disease using a Susceptible-Infected-Removed agent-based model A Abdelgawad, S Rahayel, YQ Zheng, C Tremblay, A Vo, B Misic, ... Network Neuroscience 7 (3), 906-925, 2023 | 8 | 2023 |
| Identifying Microstructural Changes in Diffusion MRI; How to Break Parameter Degeneracy H Rafipoor, YQ Zheng, L Griffanti, S Jbabdi, M Cottaar Published online September 11, 2021.09, 2021 | 2 | 2021 |
| Identifying microstructural changes in diffusion MRI; How to circumvent parameter degeneracy H Rafipoor, YQ Zheng, L Griffanti, S Jbabdi, M Cottaar NeuroImage 260, 119452, 2022 | 1 | 2022 |
| Learning Label Refinement and Threshold Adjustment for Imbalanced Semi-Supervised Learning Z Li, YQ Zheng, C Chen, S Jbabdi arXiv preprint arXiv:2407.05370, 2024 | | 2024 |
| An Image Quality Transfer Technique for Localising Deep Brain Stimulation Targets YQ Zheng, H Akram, Z Li, S Smith, S Jbabdi bioRxiv, 2024.03. 18.584979, 2024 | | 2024 |
| A Transfer Learning Approach to Localising a Deep Brain Stimulation Target YQ Zheng, H Akram, S Smith, S Jbabdi International Conference on Medical Image Computing and Computer-Assisted …, 2023 | | 2023 |
| Modelling individual variations in brain structure and function using multimodal MRI YQ Zheng University of Oxford, 2023 | | 2023 |
| Epidemiological spread models of Parkinson’s disease support the prion‐like role of alpha‐synuclein A Dagher, C Tremblay, S Rahayel, N Abbasi, A Abdelgawad, YQ Zheng, ... Alzheimer's & Dementia 17, e051670, 2021 | | 2021 |
| Predicting Longitudinal Atrophy in Parkinson's Disease using SIR model A Abdelgawad, S Rahayel, C Tremblay, A Vo, YQ Zheng, R Markello, ... MOVEMENT DISORDERS 35, S294-S294, 2020 | | 2020 |
| abagen: A toolbox for the Allen Brain Atlas genetics data R Markello, G Shafiei, YQ Zheng, B Mišić Zenodo. doi: http://doi. org/10.5281/zenodo 4091537, 2020 | | 2020 |
| abagen: A toolbox for the Allen Brain Atlas genetics data R Markello, G Shafiei, YQ Zheng, B Mišić Zenodo. doi: http://doi. org/10.5281/zenodo 4091537, 2020 | | 2020 |
| Learning Label Refinement and Thresholds for Imbalanced Semi-Supervised Learning Z Li, YQA Zheng, S Jbabdi | | |
Bratislav MisicMontréal Neurological Institute, McGill University在 mcgill.ca 的电子邮件经过验证
