Feng Yang
Orcid: 0000-0002-8334-7450Affiliations:
- National Institutes of Health, National Library of Medicine, Lister Hill National Center for Biomedical Communications, Bethesda, MD, USA
- Beijing Jiaotong University, Department of Biomedical Engineering, Beijing, China (2012 - 2019)
- National Institute of Applied Science (INSA), Lyon, France (PhD 2011)
According to our database1,
Feng Yang
authored at least 47 papers
between 2009 and 2024.
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Bibliography
2024
Semantically redundant training data removal and deep model classification performance: A study with chest X-rays.
Comput. Medical Imaging Graph., 2024
2023
Expert Syst. Appl., November, 2023
Uncovering the effects of model initialization on deep model generalization: A study with adult and pediatric Chest X-ray images.
CoRR, 2023
Does image resolution impact chest X-ray based fine-grained Tuberculosis-consistent lesion segmentation?
CoRR, 2023
IEEE Access, 2023
IEEE Access, 2023
Automatic Quantification of COVID-19 Pulmonary Edema by Self-supervised Contrastive Learning.
Proceedings of the Medical Image Learning with Limited and Noisy Data, 2023
Proceedings of the 20th IEEE International Symposium on Biomedical Imaging, 2023
2022
Connecting macroscopic diffusion metrics of cardiac diffusion tensor imaging and microscopic myocardial structures based on simulation.
Medical Image Anal., 2022
Annotations of Lung Abnormalities in the Shenzhen Chest X-ray Dataset for Computer-Aided Screening of Pulmonary Diseases.
Data, 2022
Generalizability of Deep Adult Lung Segmentation Models to the Pediatric Population: A Retrospective Study.
CoRR, 2022
Deep ensemble learning for segmenting tuberculosis-consistent manifestations in chest radiographs.
CoRR, 2022
Proceedings of the Recent Trends in Image Processing and Pattern Recognition, 2022
2021
Clustering-Based Dual Deep Learning Architecture for Detecting Red Blood Cells in Malaria Diagnostic Smears.
IEEE J. Biomed. Health Informatics, 2021
Super-Energy-Resolution Material Decomposition for Spectral Photon-Counting CT Using Pixel-Wise Learning.
IEEE Access, 2021
Improved Image Reconstruction Using Multi-Energy Information in Spectral Photon-Counting CT.
IEEE Access, 2021
Systematic Study of Joint Influence of Angular Resolution and Noise in Cardiac Diffusion Tensor Imaging.
Proceedings of the Functional Imaging and Modeling of the Heart, 2021
Identifying Drug-Resistant Tuberculosis in Chest Radiographs: Evaluation of CNN Architectures and Training Strategies.
Proceedings of the 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2021
Automated Drug-Resistant TB Screening: Importance of Demographic Features and Radiological Findings in Chest X-Ray.
Proceedings of the 50th IEEE Applied Imagery Pattern Recognition Workshop, 2021
Deep Learning-Based Cell Detection and Extraction in Thin Blood Smears for Malaria Diagnosis.
Proceedings of the 50th IEEE Applied Imagery Pattern Recognition Workshop, 2021
2020
IEEE J. Biomed. Health Informatics, 2020
A stochastic approach to full inverse treatment planning for charged-particle therapy.
J. Glob. Optim., 2020
Cascading YOLO: automated malaria parasite detection for Plasmodium vivax in thin blood smears.
Proceedings of the Medical Imaging 2020: Computer-Aided Diagnosis, 2020
2019
IEEE Trans. Biomed. Eng., 2019
Adaptive information sharing approach for crowd networks based on two stage optimization.
Int. J. Crowd Sci., 2019
Int. J. Crowd Sci., 2019
CNN-Based Invertible Wavelet Scattering for the Investigation of Diffusion Properties of the In Vivo Human Heart in Diffusion Tensor Imaging.
CoRR, 2019
Proceedings of the Machine Learning in Medical Imaging - 10th International Workshop, 2019
Proceedings of the ICCSE'19: The 4th International Conference on Crowd Science and Engineering, Jinan, China, October 18, 2019
Proceedings of the ICCSE'19: The 4th International Conference on Crowd Science and Engineering, Jinan, China, October 18, 2019
Parasite Detection in Thick Blood Smears Based on Customized Faster-RCNN on Smartphones.
Proceedings of the 48th IEEE Applied Imagery Pattern Recognition Workshop, 2019
2018
SIAM J. Imaging Sci., 2018
Int. J. Comput. Assist. Radiol. Surg., 2018
Automatic Segmentation of Left Myocardium in CMR Based on Fully Convolutional Networks.
Proceedings of the 3rd International Conference on Crowd Science and Engineering, 2018
2017
Proceedings of the 2017 International Symposium on Intelligent Signal Processing and Communication Systems, 2017
A Region Histogram of Oriented Optical Flow (RHOOF) feature for apex frame spotting in micro-expression.
Proceedings of the 2017 International Symposium on Intelligent Signal Processing and Communication Systems, 2017
2016
Proceedings of the 13th IEEE International Symposium on Biomedical Imaging, 2016
2015
Free-Breathing Diffusion Tensor Imaging and Tractography of the Human Heart in Healthy Volunteers Using Wavelet-Based Image Fusion.
IEEE Trans. Medical Imaging, 2015
2014
A Comparative Study of Different Level Interpolations for Improving Spatial Resolution in Diffusion Tensor Imaging.
IEEE J. Biomed. Health Informatics, 2014
Proceedings of the IEEE 11th International Symposium on Biomedical Imaging, 2014
2012
Feature-based interpolation of diffusion tensor fields and application to human cardiac DT-MRI.
Medical Image Anal., 2012
Proceedings of the 9th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2012
Registration of cardiac diffusion tensor images using B-spline free-form deformation.
Proceedings of the 5th International Conference on BioMedical Engineering and Informatics, 2012
2009
Noise-Reduced TPS Interpolation of Primary Vector Fields for Fiber Tracking in Human Cardiac DT-MRI.
Proceedings of the Functional Imaging and Modeling of the Heart, 2009