| 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 | 712 | 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, 2014 | 617 | 2014 |
| Learning to recognize abnormalities in chest x-rays with location-aware dense networks S Guendel, S Grbic, B Georgescu, S Liu, A Maier, D Comaniciu Progress in Pattern Recognition, Image Analysis, Computer Vision, and …, 2019 | 233 | 2019 |
| 3D Anisotropic Hybrid Network: Transferring Convolutional Features from 2D Images to 3D Anisotropic Volumes S Liu, D Xu, SK Zhou, O Pauly, S Grbic, T Mertelmeier, J Wicklein, ... International Conference on Medical Image Computing and Computer-Assisted …, 2018 | 188 | 2018 |
| A foundation model for clinical-grade computational pathology and rare cancers detection E Vorontsov, A Bozkurt, A Casson, G Shaikovski, M Zelechowski, ... Nature Medicine, 1-12, 2024 | 184* | 2024 |
| Automated quantification of CT patterns associated with COVID-19 from chest CT S Chaganti, P Grenier, A Balachandran, G Chabin, S Cohen, T Flohr, ... Radiology: Artificial Intelligence 2 (4), e200048, 2020 | 176 | 2020 |
| 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, 167-180, 2015 | 146 | 2015 |
| Rivulet: 3D Neuron Morphology Tracing with Iterative Back-Tracking S Liu, D Zhang, S Liu, D Feng, H Peng, W Cai Neuroinformatics 14 (4), 387-401, 2016 | 83 | 2016 |
| Panoptic segmentation with an end-to-end cell R-CNN for pathology image analysis D Zhang, Y Song, D Liu, H Jia, S Liu, Y Xia, H Huang, W Cai Medical Image Computing and Computer Assisted Intervention–MICCAI 2018: 21st …, 2018 | 70 | 2018 |
| Automated 3-D Neuron Tracing With Precise Branch Erasing and Confidence Controlled Back Tracking S Liu, D Zhang, Y Song, H Peng, W Cai IEEE transactions on medical imaging 37 (11), 2441-2452, 2018 | 65 | 2018 |
| No surprises: Training robust lung nodule detection for low-dose CT scans by augmenting with adversarial attacks S Liu, AAA Setio, FC Ghesu, E Gibson, S Grbic, B Georgescu, ... IEEE Transactions on Medical Imaging 40 (1), 335-345, 2020 | 58 | 2020 |
| Segmenting Neuronal Structure in 3D Optical Microscope Images via Knowledge Distillation with Teacher-Student Network H Wang, D Zhang, Y Song, S Liu, Y Wang, D Feng, H Peng, W Cai 2019 IEEE 16th International Symposium on Biomedical Imaging (ISBI 2019 …, 2019 | 44 | 2019 |
| Class-Aware Adversarial Lung Nodule Synthesis in CT Images J Yang, S Liu, S Grbic, AAA Setio, Z Xu, E Gibson, G Chabin, ... 2019 IEEE 16th International Symposium on Biomedical Imaging (ISBI 2019 …, 2019 | 43 | 2019 |
| Multimodal neuroimaging computing: the workflows, methods, and platforms S Liu, W Cai, S Liu, F Zhang, M Fulham, D Feng, S Pujol, R Kikinis Brain informatics 2, 181-195, 2015 | 38 | 2015 |
| Automated detection and quantification of COVID-19 airspace disease on chest radiographs: a novel approach achieving expert radiologist-level performance using a deep … EJM Barbosa Jr, WB Gefter, FC Ghesu, S Liu, B Mailhe, A Mansoor, ... Investigative radiology 56 (8), 471-479, 2021 | 34 | 2021 |
| Triple-crossing 2.5 d convolutional neural network for detecting neuronal arbours in 3d microscopic images S Liu, D Zhang, Y Song, H Peng, W Cai Machine Learning in Medical Imaging: 8th International Workshop, MLMI 2017 …, 2017 | 34 | 2017 |
| BigNeuron: a resource to benchmark and predict performance of algorithms for automated tracing of neurons in light microscopy datasets L Manubens-Gil, Z Zhou, H Chen, A Ramanathan, X Liu, Y Liu, A Bria, ... Nature Methods 20 (6), 824-835, 2023 | 33 | 2023 |
| Pairwise latent semantic association for similarity computation in medical imaging F Zhang, Y Song, W Cai, S Liu, S Liu, S Pujol, R Kikinis, Y Xia, MJ Fulham, ... IEEE transactions on Biomedical Engineering 63 (5), 1058-1069, 2015 | 29 | 2015 |
| Multi-phase feature representation learning for neurodegenerative disease diagnosis S Liu, S Liu, W Cai, S Pujol, R Kikinis, DD Feng Artificial Life and Computational Intelligence: First Australasian …, 2015 | 28 | 2015 |
| Semantic segmentation for cancer detection in digital breast tomosynthesis LM Itu, L Lazar, S Liu, O Pauly, P Seegerer, II Stroia, A Turcea, A Vizitiu, ... US Patent 10,779,785, 2020 | 27 | 2020 |
Weidong (Tom) CaiSchool of Computer Science, The University of Sydney在 sydney.edu.au 的电子邮件经过验证