Yanfeng Li

Orcid: 0000-0002-8441-7721

Affiliations:

Beijing Jiaotong University, School of Electronic Information Engineering, Beijing, China

According to our database¹, Yanfeng Li authored at least 55 papers between 2011 and 2024.

Collaborative distances:

Dijkstra number² of four.
Erdős number³ of three.

Timeline

Legend:

Book

In proceedings

Article

PhD thesis

Dataset

Other

Bibliography

2024

CCAFusion: Cross-Modal Coordinate Attention Network for Infrared and Visible Image Fusion.

[BibT_eX]

[DOI]

IEEE Trans. Circuits Syst. Video Technol., February, 2024

Lightweight image super-resolution based on stepwise feedback mechanism and multi-feature maps fusion.

[BibT_eX]

[DOI]

Multim. Syst., February, 2024

Dual teacher model for semi-supervised ABUS tumor segmentation.

[BibT_eX]

[DOI]

Biomed. Signal Process. Control., January, 2024

RITFusion: Reinforced Interactive Transformer Network for Infrared and Visible Image Fusion.

[BibT_eX]

[DOI]

IEEE Trans. Instrum. Meas., 2024

Multi-source domain generalization peron re-identification with knowledge accumulation and distribution enhancement.

[BibT_eX]

[DOI]

Appl. Intell., 2024

2023

Coco-Attention for Tumor Segmentation in Weakly Paired Multimodal MRI Images.

[BibT_eX]

[DOI]

IEEE J. Biomed. Health Informatics, June, 2023

Unsupervised person re-identification based on high-quality pseudo labels.

[BibT_eX]

[DOI]

Appl. Intell., June, 2023

Registration on DCE-MRI images via multi-domain image-to-image translation.

[BibT_eX]

[DOI]

Comput. Medical Imaging Graph., March, 2023

Multi-scale pedestrian detection with global-local attention and multi-scale receptive field context.

[BibT_eX]

[DOI]

IET Comput. Vis., February, 2023

Unpaired multi-modal tumor segmentation with structure adaptation.

[BibT_eX]

[DOI]

Appl. Intell., February, 2023

Visible-infrared person re-identification model based on feature consistency and modal indistinguishability.

[BibT_eX]

[DOI]

Mach. Vis. Appl., 2023

Semi-supervised learning for ABUS tumor detection using deep learning method.

[BibT_eX]

[DOI]

IET Image Process., 2023

Tumor Segmentation in Weakly Paired Anatomical and Functional MRI images with Multimodal Information Fusion.

[BibT_eX]

[DOI]

Proceedings of the 8th International Conference on Biomedical Signal and Image Processing, 2023

NTIRE 2023 Challenge on Image Super-Resolution (×4): Methods and Results.

[BibT_eX]

[DOI]

Raghavendra Ramachandra

Christoph Busch

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022

Cross-Model Attention-Guided Tumor Segmentation for 3D Automated Breast Ultrasound (ABUS) Images.

[BibT_eX]

[DOI]

IEEE J. Biomed. Health Informatics, 2022

MAFusion: Multiscale Attention Network for Infrared and Visible Image Fusion.

[BibT_eX]

[DOI]

IEEE Trans. Instrum. Meas., 2022

Auto-DenseUNet: Searchable neural network architecture for mass segmentation in 3D automated breast ultrasound.

[BibT_eX]

[DOI]

Medical Image Anal., 2022

Inter-cluster and intra-cluster joint optimization for unsupervised cross-domain person re-identification.

[BibT_eX]

[DOI]

Knowl. Based Syst., 2022

Anchor-free YOLOv3 for mass detection in mammogram.

[BibT_eX]

[DOI]

Expert Syst. Appl., 2022

DSGMFFN: Deepest semantically guided multi-scale feature fusion network for automated lesion segmentation in ABUS images.

[BibT_eX]

[DOI]

Comput. Methods Programs Biomed., 2022

Cross-modality synthesis aiding lung tumor segmentation on multi-modal MRI images.

[BibT_eX]

[DOI]

Biomed. Signal Process. Control., 2022

A Person Re-Identification Baseline Based on Attention Block Neural Architecture Search.

[BibT_eX]

[DOI]

Proceedings of the 2022 IEEE International Conference on Image Processing, 2022

2021

Uncertainty Aware Temporal-Ensembling Model for Semi-Supervised ABUS Mass Segmentation.

[BibT_eX]

[DOI]

IEEE Trans. Medical Imaging, 2021

Adaptive Weighting Landmark-Based Group-Wise Registration on Lung DCE-MRI Images.

[BibT_eX]

[DOI]

IEEE Trans. Medical Imaging, 2021

Unsupervised Cross Domain Person Re-Identification by Multi-Loss Optimization Learning.

[BibT_eX]

[DOI]

IEEE Trans. Image Process., 2021

MEMF: Multi-level-attention embedding and multi-layer-feature fusion model for person re-identification.

[BibT_eX]

[DOI]

Pattern Recognit., 2021

Unsupervised domain adaptive person re-identification via camera penalty learning.

[BibT_eX]

[DOI]

Multim. Tools Appl., 2021

Person re-identification based on activation guided identity and attribute classification model.

[BibT_eX]

[DOI]

Multim. Tools Appl., 2021

AMRSegNet: adaptive modality recalibration network for lung tumor segmentation on multi-modal MR images.

[BibT_eX]

[DOI]

Multim. Tools Appl., 2021

Multi-task learning for segmentation and classification of tumors in 3D automated breast ultrasound images.

[BibT_eX]

[DOI]

Medical Image Anal., 2021

Learning with noisy labels method for unsupervised domain adaptive person re-identification.

[BibT_eX]

[DOI]

Neurocomputing, 2021

Visible-infrared cross-modality person re-identification based on whole-individual training.

[BibT_eX]

[DOI]

Neurocomputing, 2021

3D multi-view tumor detection in automated whole breast ultrasound using deep convolutional neural network.

[BibT_eX]

[DOI]

Expert Syst. Appl., 2021

Dilated densely connected U-Net with uncertainty focus loss for 3D ABUS mass segmentation.

[BibT_eX]

[DOI]

Comput. Methods Programs Biomed., 2021

Salient detection network for lung nodule detection in 3D Thoracic MRI Images.

[BibT_eX]

[DOI]

Biomed. Signal Process. Control., 2021

Tumor detection using deep learning method in automated breast ultrasound.

[BibT_eX]

[DOI]

Biomed. Signal Process. Control., 2021

2020

Motion correction and noise removing in lung diffusion-weighted MRI using low-rank decomposition.

[BibT_eX]

[DOI]

Medical Biol. Eng. Comput., 2020

Mass detection in mammograms by bilateral analysis using convolution neural network.

[BibT_eX]

[DOI]

Comput. Methods Programs Biomed., 2020

Improving Person Re-identification by Mask Guiding and Part Pooling.

[BibT_eX]

[DOI]

Proceedings of the ICMLC 2020: 2020 12th International Conference on Machine Learning and Computing, 2020

Pedestrian Detection Based on Depth Information.

[BibT_eX]

[DOI]

Proceedings of the ICMLC 2020: 2020 12th International Conference on Machine Learning and Computing, 2020

Boundary Loss with Non-Euclidean Distance Constraint for ABUS Mass Segmentation.

[BibT_eX]

[DOI]

Proceedings of the 13th International Congress on Image and Signal Processing, 2020

2019

Correction to: Breast cancer classification in pathological images based on hybrid features.

[BibT_eX]

[DOI]

Multim. Tools Appl., 2019

Breast cancer classification in pathological images based on hybrid features.

[BibT_eX]

[DOI]

Multim. Tools Appl., 2019

Reducing non-realistic deformations in registration using precise and reliable landmark correspondences.

[BibT_eX]

[DOI]

Comput. Biol. Medicine, 2019

Lung Nodule Detection With Deep Learning in 3D Thoracic MR Images.

[BibT_eX]

[DOI]

IEEE Access, 2019

Mammographic Mass Detection by Bilateral Analysis Based on Convolution Neural Network.

[BibT_eX]

[DOI]

Proceedings of the 2019 IEEE International Conference on Image Processing, 2019

A Novel Network Based on Densely Connected Fully Convolutional Networks for Segmentation of Lung Tumors on Multi-Modal MR Images.

[BibT_eX]

[DOI]

Proceedings of the 2019 International Conference on Artificial Intelligence and Advanced Manufacturing, 2019

Intrusion Detection and Tracking at Railway Crossing.

[BibT_eX]

[DOI]

Proceedings of the 2019 International Conference on Artificial Intelligence and Advanced Manufacturing, 2019

2018

An atlas-based multimodal registration method for 2D images with discrepancy structures.

[BibT_eX]

[DOI]

Medical Biol. Eng. Comput., 2018

Mammographic mass detection based on convolution neural network.

[BibT_eX]

[DOI]

Proceedings of the 24th International Conference on Pattern Recognition, 2018

2016

Mass classification in mammograms based on two-concentric masks and discriminating texton.

[BibT_eX]

[DOI]

Pattern Recognit., 2016

2015

Texton analysis for mass classification in mammograms.

[BibT_eX]

[DOI]

Pattern Recognit. Lett., 2015

A bilateral analysis scheme for false positive reduction in mammogram mass detection.

[BibT_eX]

[DOI]

Comput. Biol. Medicine, 2015

2013

Pectoral muscle segmentation in mammograms based on homogenous texture and intensity deviation.

[BibT_eX]

[DOI]

Pattern Recognit., 2013

2011

Study on Information Management System and Its Application in Colliery Enterprises.

[BibT_eX]

Yanfeng Li

Houjin Chen

Jupeng Li

Proceedings of the ICEIS 2011, 2011

Yanfeng Li

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