| Machine learning for the prediction of molecular markers in glioma on magnetic resonance imaging: a systematic review and meta-analysis A Jian, K Jang, M Manuguerra, S Liu, J Magnussen, A Di Ieva Neurosurgery 89 (1), 31-44, 2021 | 51 | 2021 |
| Application of deep learning for automatic segmentation of brain tumors on magnetic resonance imaging: a heuristic approach in the clinical scenario A Di Ieva, C Russo, S Liu, A Jian, MY Bai, Y Qian, JS Magnussen Neuroradiology 63, 1253-1262, 2021 | 49 | 2021 |
| Spontaneous ventricular tachyarrhythmias in β2-adrenoceptor transgenic mice in relation to cardiac interstitial fibrosis MN Nguyen, H Kiriazis, D Ruggiero, XM Gao, Y Su, A Jian, LP Han, ... American Journal of Physiology-Heart and Circulatory Physiology 309 (5 …, 2015 | 41 | 2015 |
| Artificial intelligence for survival prediction in brain tumors on neuroimaging A Jian, S Liu, A Di Ieva Neurosurgery 91 (1), 8-26, 2022 | 9 | 2022 |
| Application of artificial intelligence and radiomics in pituitary neuroendocrine and sellar tumors: a quantitative and qualitative synthesis K Koong, V Preda, A Jian, B Liquet-Weiland, A Di Ieva Neuroradiology, 1-22, 2022 | 7 | 2022 |
| Foundations of multiparametric brain tumour imaging characterisation using machine learning A Jian, K Jang, C Russo, S Liu, A Di Ieva Machine Learning in Clinical Neuroscience: Foundations and Applications, 183-193, 2022 | 6 | 2022 |
| Triple A syndrome: An unusual association with plurihormonal pituitary neuroendocrine tumour A Jian, A Goh, M Zacharin, J King Clinical Neurology and Neurosurgery 233, 107939, 2023 | | 2023 |
