Follow
Luping Zhou
Luping Zhou
School of Electrical and Computer Engineering, University of Sydney
Verified email at sydney.edu.au - Homepage
Title
Cited by
Cited by
Year
Multimodal classification of Alzheimer's disease and mild cognitive impairment
D Zhang, Y Wang, L Zhou, H Yuan, D Shen, ...
Neuroimage 55 (3), 856-867, 2011
14282011
3D conditional generative adversarial networks for high-quality PET image estimation at low dose
Y Wang, B Yu, L Wang, C Zu, DS Lalush, W Lin, X Wu, J Zhou, D Shen, ...
Neuroimage 174, 550-562, 2018
3962018
Miss detection vs. false alarm: Adversarial learning for small object segmentation in infrared images
H Wang, L Zhou, L Wang
Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2019
2642019
HEp-2 cell image classification with deep convolutional neural networks
Z Gao, L Wang, L Zhou, J Zhang
IEEE journal of biomedical and health informatics 21 (2), 416-428, 2016
2522016
Ea-GANs: Edge-aware Generative Adversarial Networks for Cross-modality MR Image Synthesis
B Yu, L Zhou, L Wang, Y Shi, J Fripp, P Bourgeat
IEEE Transactions on Medical Imaging, DOI: 10.1109/TMI.2019.2895894, 2019
2482019
Discriminant analysis of longitudinal cortical thickness changes in Alzheimer's disease using dynamic and network features
Y Li, Y Wang, G Wu, F Shi, L Zhou, W Lin, D Shen, ...
Neurobiology of aging 33 (2), 427. e15-427. e30, 2012
2192012
Cross-sectional and longitudinal analysis of the relationship between Aβ deposition, cortical thickness, and memory in cognitively unimpaired individuals and in Alzheimer disease
V Doré, VL Villemagne, P Bourgeat, J Fripp, O Acosta, G Chetélat, L Zhou, ...
JAMA neurology 70 (7), 903-911, 2013
2092013
Machine Learning in Medical Imaging - 5th International Workshop, MLMI 2014 (Held in Conjunction with MICCAI2014), Proceedings
G Wu, D Zhang, L Zhou
Springer (ISBN 978-3-319-10580-2), 2014
200*2014
Systems and methods for collaborative interactive visualization of 3D data sets over a network (" DextroNet")
L Zhou, L Serra, L Goh
US Patent App. 11/649,425, 2007
1832007
A Novel Unsupervised Camera-aware Domain Adaptation Framework for Person Re-identification
L Qi, L Wang, J Huo, L Zhou, Y Shi, Y Gao
International Conference on Computer Vision (ICCV) 2019, 2019
1782019
3D auto-context-based locality adaptive multi-modality GANs for PET synthesis
Y Wang, L Zhou, B Yu, L Wang, C Zu, DS Lalush, W Lin, X Wu, J Zhou, ...
IEEE transactions on medical imaging 38 (6), 1328-1339, 2018
1772018
Multiple kernel learning in the primal for multimodal Alzheimer’s disease classification
F Liu, L Zhou, C Shen, J Yin
IEEE journal of biomedical and health informatics 18 (3), 984-990, 2013
1442013
3D cGan-based Cross-modality MR Image Synthesis for Brain Tumor Segmentation
B Yu, L Zhou, L Wang, J Fripp, P Bourgeat
IEEE ISBI 2018, 2018
1312018
Beyond Covariance: Feature Representation with Nonlinear Kernel Matrices
L Wang, J Zhang, L Zhou, C Tang, W Li
ICCV2015, 2015
1082015
Semi-supervised medical image segmentation via a tripled-uncertainty guided mean teacher model with contrastive learning
K Wang, B Zhan, C Zu, X Wu, J Zhou, L Zhou, Y Wang
Medical Image Analysis 79, 102447, 2022
1062022
Hierarchical anatomical brain networks for MCI prediction: revisiting volumetric measures
L Zhou, Y Wang, Y Li, PT Yap, D Shen, ...
PloS one 6 (7), e21935, 2011
902011
Epileptic Seizure Forecasting with Generative Adversarial Networks
N Truong, L Kuhlmann, M Bonyadi, D Querlioz, L Zhou, O Kavehei
IEEE Access, 2019
802019
Feature selection with redundancy-constrained class separability
L Zhou, L Wang, C Shen
IEEE Transactions on Neural Networks 21 (5), 853-858, 2010
712010
Tripled-uncertainty Guided Mean Teacher Model for Semi-supervised Medical Image Segmentation
K Wang, B Zhan, C Zu, X Wu, J Zhou, L Zhou, Y Wang
International Conference on Medical Image Computing And Computer Assisted …, 2021
682021
3D Transformer-GAN for High-quality PET Reconstruction
Y Luo, Y Wang, C Zu, B Zhan, X Wu, J Zhou, D Shen, L Zhou
International Conference on Medical Image Computing And Computer Assisted …, 2021
662021
The system can't perform the operation now. Try again later.
Articles 1–20