| Padnet: Pan-density crowd counting Y Tian, Y Lei, J Zhang, JZ Wang IEEE Transactions on Image Processing 29, 2714-2727, 2019 | 115 | 2019 |
| Shape and margin-aware lung nodule classification in low-dose CT images via soft activation mapping Y Lei, Y Tian, H Shan, J Zhang, G Wang, MK Kalra Medical Image Analysis 60, 101628, 2020 | 73 | 2020 |
| Strided self-supervised low-dose CT denoising for lung nodule classification Y Lei, J Zhang, H Shan Phenomics 1 (6), 257-268, 2021 | 19 | 2021 |
| Meta Ordinal Regression Forest for Medical Image Classification with Ordinal Labels Y Lei, H Zhu, J Zhang, H Shan IEEE/CAA Journal of Automatic Sinica 9 (7), 1233-1247, 2022 | 17 | 2022 |
| A novel approach for cirrhosis recognition via improved LBP algorithm and dictionary learning Y Lei, X Zhao, G Wang, K Yu, W Guo Biomedical Signal Processing and Control 38, 281-292, 2017 | 14 | 2017 |
| Deep Rank-Consistent Pyramid Model for Enhanced Crowd Counting J Gao, Z Huang, Y Lei, H Shan, JZ Wang, FY Wang, J Zhang IEEE Transactions on Neural Networks and Learning Systems, 2023 | 13* | 2023 |
| CLIP-Lung: Textual Knowledge-Guided Lung Nodule Malignancy Prediction Y Lei, Z Li, Y Shen, J Zhang, H Shan MICCAI 2023, 2023 | 9 | 2023 |
| An ensemble learning method based on ordinal regression for COVID-19 diagnosis from chest CT X Guo, Y Lei, P He, W Zeng, R Yang, Y Ma, P Feng, Q Lyu, G Wang, ... Physics in Medicine & Biology 66 (24), 244001, 2021 | 8 | 2021 |
| Meta ordinal regression forest for learning with unsure lung nodules Y Lei, H Zhu, J Zhang, H Shan 2020 IEEE International Conference on Bioinformatics and Biomedicine (BIBM …, 2020 | 7 | 2020 |
| Meta ordinal weighting net for improving lung nodule classification Y Lei, H Shan, J Zhang ICASSP 2021-2021 IEEE International Conference on Acoustics, Speech and …, 2021 | 6 | 2021 |
| FAN-Net: fourier-based adaptive normalization for cross-domain stroke lesion segmentation W Yu, Y Lei, H Shan ICASSP 2023-2023 IEEE International Conference on Acoustics, Speech and …, 2023 | 4 | 2023 |
| LICO: Explainable Models with Language-Image Consistency Y Lei, Z Li, Y Li, J Zhang, H Shan NeurIPS 2023, 2023 | 4 | 2023 |
| CT Image Denoising and Deblurring With Deep Learning: Current Status and Perspectives Y Lei, C Niu, J Zhang, G Wang, H Shan IEEE Transactions on Radiation and Plasma Medical Sciences, 2023 | 3 | 2023 |
| Prompt learning in computer vision: a survey Y Lei, J Li, Z Li, Y Cao, H Shan Frontiers of Information Technology & Electronic Engineering 25 (1), 42-63, 2024 | 2 | 2024 |
| CORE: Learning consistent ordinal representations for image ordinal estimation Y Lei, Z Li, Y Li, J Zhang, H Shan arXiv preprint arXiv:2301.06122, 2023 | 2 | 2023 |
| 基于双流步态网络的跨视角步态识别 汪堃， 雷一鸣， 张军平 模式识别与人工智能 33 (5), 383-392, 2020 | 2 | 2020 |
| Prompt-In-Prompt Learning for Universal Image Restoration Z Li, Y Lei, C Ma, J Zhang, H Shan arXiv preprint arXiv:2312.05038, 2023 | 1 | 2023 |
| HOPE: Hybrid-granularity Ordinal Prototype Learning for Progression Prediction of Mild Cognitive Impairment C Wang, Y Lei, T Chen, J Zhang, Y Li, H Shan IEEE Journal of Biomedical and Health Informatics, 2024 | | 2024 |
Junping Zhang, ProfessorShanghai Key Lab of Intelligent Information Processing, School of Computer Science, Fudan UniversityVerified email at fudan.edu.cn
