| Multimodal and multiscale deep neural networks for the early diagnosis of Alzheimer’s disease using structural MR and FDG-PET images D Lu, K Popuri, GW Ding, R Balachandar, MF Beg Scientific reports 8 (1), 5697, 2018 | 410 | 2018 |
| Morphological diversity of single neurons in molecularly defined cell types H Peng, P Xie, L Liu, X Kuang, Y Wang, L Qu, H Gong, S Jiang, A Li, ... Nature 598 (7879), 174-181, 2021 | 274 | 2021 |
| RETOUCH: the retinal OCT fluid detection and segmentation benchmark and challenge H Bogunović, F Venhuizen, S Klimscha, S Apostolopoulos, ... IEEE transactions on medical imaging 38 (8), 1858-1874, 2019 | 232 | 2019 |
| Multiscale deep neural network based analysis of FDG-PET images for the early diagnosis of Alzheimer’s disease D Lu, K Popuri, GW Ding, R Balachandar, MF Beg, ... Medical image analysis 46, 26-34, 2018 | 174 | 2018 |
| Deep-learning based multiclass retinal fluid segmentation and detection in optical coherence tomography images using a fully convolutional neural network D Lu, M Heisler, S Lee, GW Ding, E Navajas, MV Sarunic, MF Beg Medical image analysis 54, 100-110, 2019 | 152 | 2019 |
| Dense Cross-Query-and-Support Attention Weighted Mask Aggregation for Few-Shot Segmentation X Shi, D Wei, Y Zhang, D Lu, M Ning, J Chen, K Ma, Y Zheng European Conference on Computer Vision, 151-168, 2022 | 106 | 2022 |
| Ambiguity-selective consistency regularization for mean-teacher semi-supervised medical image segmentation Z Xu, Y Wang, D Lu, X Luo, J Yan, Y Zheng, RK Tong Medical Image Analysis 88, 102880, 2023 | 67 | 2023 |
| All-around real label supervision: Cyclic prototype consistency learning for semi-supervised medical image segmentation Z Xu, Y Wang, D Lu, L Yu, J Yan, J Luo, K Ma, Y Zheng, RK Tong IEEE Journal of Biomedical and Health Informatics 26 (7), 3174-3184, 2022 | 62 | 2022 |
| Noisy labels are treasure: mean-teacher-assisted confident learning for hepatic vessel segmentation Z Xu, D Lu, Y Wang, J Luo, J Jayender, K Ma, Y Zheng, X Li Medical Image Computing and Computer Assisted Intervention–MICCAI 2021: 24th …, 2021 | 58 | 2021 |
| Differential diagnosis of frontotemporal dementia, Alzheimer's disease, and Normal aging using a multi-scale multi-type feature generative adversarial deep neural network on … D Ma, D Lu, K Popuri, L Wang, MF Beg, ... Frontiers in neuroscience 14, 542264, 2020 | 55 | 2020 |
| Multi-Anchor Active Domain Adaptation for Semantic Segmentation M Ning, D Lu, D Wei, C Bian, C Yuan, S Yu, K Ma, Y Zheng Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2021 | 54 | 2021 |
| Quantitative assessment of field strength, total intracranial volume, sex, and age effects on the goodness of harmonization for volumetric analysis on the ADNI database D Ma, K Popuri, M Bhalla, O Sangha, D Lu, J Cao, C Jacova, L Wang, ... Human brain mapping 40 (5), 1507-1527, 2019 | 52 | 2019 |
| Retinal Fluid Segmentation and Detection in Optical Coherence Tomography Images using Fully Convolutional Neural Network D Lu, M Heisler, S Lee, G Ding, MV Sarunic, MF Beg arXiv preprint arXiv:1710.04778, 2017 | 46 | 2017 |
| Deep image clustering with category-style representation J Zhao, D Lu, K Ma, Y Zhang, Y Zheng Computer Vision–ECCV 2020: 16th European Conference, Glasgow, UK, August 23 …, 2020 | 45 | 2020 |
| Anti-interference from noisy labels: Mean-teacher-assisted confident learning for medical image segmentation Z Xu, D Lu, J Luo, Y Wang, J Yan, K Ma, Y Zheng, RKY Tong IEEE Transactions on Medical Imaging 41 (11), 3062-3073, 2022 | 43 | 2022 |
| Development and validation of a novel dementia of Alzheimer's type (DAT) score based on metabolism FDG-PET imaging K Popuri, R Balachandar, K Alpert, D Lu, M Bhalla, IR Mackenzie, ... NeuroImage: Clinical 18, 802-813, 2018 | 41 | 2018 |
| An Inclusive Task-Aware Framework for Radiology Report Generation L Wang, M Ning, D Lu, D Wei, Y Zheng, J Chen International Conference on Medical Image Computing and Computer-Assisted …, 2022 | 35 | 2022 |
| Brain-wide single neuron reconstruction reveals morphological diversity in molecularly defined striatal, thalamic, cortical and claustral neuron types H Peng, P Xie, L Liu, X Kuang, Y Wang, L Qu, H Gong, S Jiang, A Li, ... | 32 | 2020 |
| Deformer: Towards Displacement Field Learning for Unsupervised Medical Image Registration J Chen, D Lu, Y Zhang, D Wei, M Ning, X Shi, Z Xu, Y Zheng International Conference on Medical Image Computing and Computer-Assisted …, 2022 | 31 | 2022 |
| M3AE: Multimodal representation learning for brain tumor segmentation with missing modalities H Liu, D Wei, D Lu, J Sun, L Wang, Y Zheng Proceedings of the AAAI Conference on Artificial Intelligence 37 (2), 1657-1665, 2023 | 25 | 2023 |
Yefeng ZhengProfessor, Westlake University, Hangzhou, China, IEEE Fellow, AIMBE FellowVerified email at westlake.edu.cn
