Yiming Lei
Cited by
Cited by
Padnet: Pan-density crowd counting
Y Tian, Y Lei, J Zhang, JZ Wang
IEEE Transactions on Image Processing 29, 2714-2727, 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
Strided self-supervised low-dose CT denoising for lung nodule classification
Y Lei, J Zhang, H Shan
Phenomics 1 (6), 257-268, 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
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
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
CLIP-Lung: Textual Knowledge-Guided Lung Nodule Malignancy Prediction
Y Lei, Z Li, Y Shen, J Zhang, H Shan
MICCAI 2023, 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
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
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
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
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
LICO: Explainable Models with Language-Image Consistency
Y Lei, Z Li, Y Li, J Zhang, H Shan
NeurIPS 2023, 2023
Prompt-In-Prompt Learning for Universal Image Restoration
Z Li, Y Lei, C Ma, J Zhang, H Shan
arXiv preprint arXiv:2312.05038, 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
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
汪堃, 雷一鸣, 张军平
模式识别与人工智能 33 (5), 383-392, 2020
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
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