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 | 1290 | 2011 |
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 | 301 | 2018 |
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 | 225 | 2016 |
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 | 203 | 2012 |
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 | 192 | 2013 |
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 | 175 | 2019 |
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 | 166* | 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 | 163 | 2007 |
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 | 156 | 2019 |
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 | 124 | 2013 |
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 | 120 | 2018 |
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 | 112 | 2019 |
Beyond Covariance: Feature Representation with Nonlinear Kernel Matrices L Wang, J Zhang, L Zhou, C Tang, W Li ICCV2015, 2015 | 108 | 2015 |
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 | 99 | 2018 |
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 | 87 | 2011 |
Feature selection with redundancy-constrained class separability L Zhou, L Wang, C Shen IEEE Transactions on Neural Networks 21 (5), 853-858, 2010 | 68 | 2010 |
Systems and methods for automated measurements and visualization using knowledge structure mapping (" knowledge structure mapping") Z Luping, W Yapeng, G Chia US Patent App. 11/289,230, 2006 | 58 | 2006 |
Epileptic Seizure Forecasting with Generative Adversarial Networks N Truong, L Kuhlmann, M Bonyadi, D Querlioz, L Zhou, O Kavehei IEEE Access, 2019 | 54 | 2019 |
DeepKSPD: Learning Kernel-matrix-based SPD Representation for Fine-grained Image Recognition M Engin, L Wang, L Zhou, X Liu European Conference on Computer Vision (ECCV) 2018, 2018 | 53 | 2018 |
MR-Less Surface-Based Amyloid Assessment Based on 11C PiB PET L Zhou, O Salvado, V Dore, P Bourgeat, P Raniga, SL Macaulay, D Ames, ... PLoS One 9 (1), e84777, 2014 | 51 | 2014 |