| Early Diagnosis of Alzheimer's Disease with Deep Learning S Liu, S Liu, W Cai, S Pujol, R Kikinis, D Feng 2014 IEEE 11th international symposium on biomedical imaging (ISBI), 1015-1018, 2014 | 685 | 2014 |
| Multimodal Neuroimaging Feature Learning for Multiclass Diagnosis of Alzheimer's Disease S Liu, S Liu, W Cai, H Che, S Pujol, R Kikinis, D Feng, MJ Fulham IEEE Transactions on Biomedical Engineering 62 (4), 1132-1140, 2015 | 576 | 2015 |
| Multimodal Neuroimaging Computing: A Review of the Applications in Neuropsychiatric Disorders S Liu, W Cai, S Liu, F Zhang, M Fulham, D Feng, S Pujol, R Kikinis Brain informatics 2 (3), 167, 2015 | 133 | 2015 |
| Isocitrate Dehydrogenase (IDH) Status Prediction in Histopathology Images of Gliomas using Deep Learning S Liu, Z Shah, A Sav, C Russo, S Berkovsky, Y Qian, E Coiera, A Di Ieva Scientific Reports 10, 7733, 2020 | 116 | 2020 |
| A Deep Learning-Based Algorithm Identifies Glaucomatous Discs Using Monoscopic Fundus Photographs S Liu, SL Graham, A Schulz, M Kalloniatis, B Zangerl, W Cai, Y Gao, ... Ophthalmology Glaucoma 1 (1), 15-22, 2018 | 103 | 2018 |
| Demyelination Precedes Axonal Loss in the Transneuronal Spread of Human Neurodegenerative Disease Y You, C Joseph, C Wang, V Gupta, S Liu, C Yiannikas, BE Chua, ... Brain 142 (1), 426-442, 2019 | 101 | 2019 |
| Rivulet: 3D Neuron Morphology Tracing with Iterative Back-Tracking S Liu, D Zhang, S Liu, D Feng, H Peng, W Cai Neuroinformatics 14, 387-401, 2016 | 78 | 2016 |
| Differing Structural and Functional Patterns of Optic Nerve Damage in Multiple Sclerosis and Neuromyelitis Optica Spectrum Disorder T Shen, Y You, S Arunachalam, A Fontes, S Liu, V Gupta, J Parratt, ... Ophthalmology 126 (3), 445-453, 2019 | 71 | 2019 |
| Evidence of Progressive Tissue Loss in the Core of Chronic MS Lesions: A Longitudinal DTI Study A Klistorner, C Wang, C Yiannikas, J Parratt, M Dwyer, J Barton, ... NeuroImage: Clinical 17, 1028-1035, 2018 | 63 | 2018 |
| Generative Adversarial Networks in Digital Pathology and Histopathological Image Processing: A Review L Jose, S Liu, C Russo, A Nadort, AD Ieva Journal of Pathology Informatics 12 (1), 43, 2021 | 61 | 2021 |
| 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, nyab103, 2021 | 57 | 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, J Magnussen Neuroradiology, 2021 | 55 | 2021 |
| Digital to Analog Resistive Switching Transition Induced by Graphene Buffer Layer in Strontium Titanate based Devices T Wan, B Qu, H Du, X Lin, Q Lin, DW Wang, C Cazorla, S Li, S Liu, D Chu Journal of Colloid and Interface Science 512, 767-774, 2018 | 53 | 2018 |
| 3D Neurological Image Retrieval with Localized Pathology-centric CMRGlc Patterns W Cai, S Liu, L Wen, S Eberl, MJ Fulham, D Feng 2010 IEEE International Conference on Image Processing, 3201-3204, 2010 | 53 | 2010 |
| Dictionary Pruning with Visual Word Significance for Medical Image Retrieval F Zhang, Y Song, W Cai, AG Hauptmann, S Liu, S Pujol, R Kikinis, ... Neurocomputing 177, 75-88, 2016 | 50 | 2016 |
| Weak Label based Bayesian U-Net for Optic Disc Segmentation in Fundus Images H Xiong, S Liu, R Sharan, E Coiera, S Berkovsky Artificial Intelligence In Medicine, 2022 | 47 | 2022 |
| MS-GAN: GAN-Based Semantic Segmentation of Multiple Sclerosis Lesions in Brain Magnetic Resonance Imaging C Zhang, Y Song, S Liu, S Lill, C Wang, Z Tang, Y You, Y Gao, ... 2018 Digital Image Computing: Techniques and Applications (DICTA), 1-8, 2018 | 47 | 2018 |
| Development and validation of a machine learning approach for automated severity assessment of COVID-19 based on clinical and imaging data: retrospective study JC Quiroz, YZ Feng, ZY Cheng, D Rezazadegan, PK Chen, QT Lin, ... JMIR Medical Informatics 9 (2), e24572, 2021 | 44 | 2021 |
| Multifold Bayesian Kernelization in Alzheimer’s Diagnosis S Liu, Y Song, W Cai, S Pujol, R Kikinis, X Wang, D Feng Medical Image Computing and Computer-Assisted Intervention–MICCAI 2013: 16th …, 2013 | 44 | 2013 |
| Lung Nodule Classification by Jointly using Visual Descriptors and Deep Features Y Xie, J Zhang, S Liu, W Cai, Y Xia MICCAI Workshop on Medical Computer Vision 10081 (Lecture Notes in Computer …, 2017 | 41 | 2017 |
Weidong (Tom) CaiSchool of Computer Science, The University of SydneyVerified email at sydney.edu.au
