Scalable person re-identification: A benchmark L Zheng, L Shen, L Tian, S Wang, J Wang, Q Tian Proceedings of the IEEE international conference on computer vision, 1116-1124, 2015 | 5172 | 2015 |
Solving inverse problems in medical imaging with score-based generative models Y Song, L Shen, L Xing, S Ermon arXiv preprint arXiv:2111.08005, 2021 | 482 | 2021 |
Gloria: A multimodal global-local representation learning framework for label-efficient medical image recognition SC Huang, L Shen, MP Lungren, S Yeung Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2021 | 298 | 2021 |
Patient-specific reconstruction of volumetric computed tomography images from a single projection view via deep learning L Shen, W Zhao, L Xing Nature biomedical engineering 3 (11), 880-888, 2019 | 282 | 2019 |
Scaling Human‐Object Interaction Recognition in the Video through Zero‐Shot Learning VO Maraghi, K Faez Computational Intelligence and Neuroscience 2021 (1), 9922697, 2021 | 181 | 2021 |
NeRP: implicit neural representation learning with prior embedding for sparsely sampled image reconstruction L Shen, J Pauly, L Xing IEEE Transactions on Neural Networks and Learning Systems 35 (1), 770-782, 2022 | 168 | 2022 |
Person re-identification meets image search L Zheng, L Shen, L Tian, S Wang, J Bu, Q Tian arXiv preprint arXiv:1502.02171, 2015 | 103 | 2015 |
Label-efficient self-supervised federated learning for tackling data heterogeneity in medical imaging R Yan, L Qu, Q Wei, SC Huang, L Shen, DL Rubin, L Xing, Y Zhou IEEE Transactions on Medical Imaging 42 (7), 1932-1943, 2023 | 87 | 2023 |
Markerless pancreatic tumor target localization enabled by deep learning W Zhao, L Shen, B Han, Y Yang, K Cheng, DAS Toesca, AC Koong, ... International Journal of Radiation Oncology* Biology* Physics 105 (2), 432-439, 2019 | 76 | 2019 |
Multi-domain image completion for random missing input data L Shen, W Zhu, X Wang, L Xing, JM Pauly, B Turkbey, SA Harmon, ... IEEE transactions on medical imaging 40 (4), 1113-1122, 2020 | 75 | 2020 |
Solving inverse problems with latent diffusion models via hard data consistency B Song, SM Kwon, Z Zhang, X Hu, Q Qu, L Shen arXiv preprint arXiv:2307.08123, 2023 | 55 | 2023 |
The emergence of reproducibility and consistency in diffusion models H Zhang, J Zhou, Y Lu, M Guo, P Wang, L Shen, Q Qu Forty-first International Conference on Machine Learning, 2023 | 39 | 2023 |
Learning to learn from noisy web videos S Yeung, V Ramanathan, O Russakovsky, L Shen, G Mori, L Fei-Fei Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2017 | 35 | 2017 |
A geometry-informed deep learning framework for ultra-sparse 3D tomographic image reconstruction L Shen, W Zhao, D Capaldi, J Pauly, L Xing Computers in Biology and Medicine 148, 105710, 2022 | 33 | 2022 |
Attention-guided deep learning for gestational age prediction using fetal brain MRI L Shen, J Zheng, EH Lee, K Shpanskaya, ES McKenna, MG Atluri, ... Scientific reports 12 (1), 1408, 2022 | 33 | 2022 |
Artificial intelligence in image-guided radiotherapy: a review of treatment target localization W Zhao, L Shen, MT Islam, W Qin, Z Zhang, X Liang, G Zhang, S Xu, X Li Quantitative Imaging in Medicine and Surgery 11 (12), 4881, 2021 | 27 | 2021 |
Deep neural network with consistency regularization of multi-output channels for improved tumor detection and delineation H Seo, L Yu, H Ren, X Li, L Shen, L Xing IEEE Transactions on Medical Imaging 40 (12), 3369-3378, 2021 | 27 | 2021 |
Piner: Prior-informed implicit neural representation learning for test-time adaptation in sparse-view ct reconstruction B Song, L Shen, L Xing Proceedings of the IEEE/CVF winter conference on applications of computer …, 2023 | 18 | 2023 |
Multimodal brain MRI tumor segmentation via convolutional neural networks L Shen, T Anderson vol 18, 2014-2015, 2017 | 16 | 2017 |
Dual-energy CT imaging using a single-energy CT data is feasible via deep learning W Zhao, T Lv, P Gao, L Shen, X Dai, K Cheng, M Jia, Y Chen, L Xing arXiv preprint arXiv:1906.04874, 2019 | 14 | 2019 |