Jie Yang
Orcid: 0000-0003-0256-5569Affiliations:
- Columbia University, Department of Biomedical Engineering, NY, USA
According to our database1,
Jie Yang
authored at least 17 papers
between 2016 and 2021.
Collaborative distances:
Collaborative distances:
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on orcid.org
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Bibliography
2021
Novel Subtypes of Pulmonary Emphysema Based on Spatially-Informed Lung Texture Learning: The Multi-Ethnic Study of Atherosclerosis (MESA) COPD Study.
IEEE Trans. Medical Imaging, 2021
2020
Characterizing Alzheimer's Disease With Image and Genetic Biomarkers Using Supervised Topic Models.
IEEE J. Biomed. Health Informatics, 2020
Novel Subtypes of Pulmonary Emphysema Based on Spatially-Informed Lung Texture Learning.
CoRR, 2020
Encoding Human Cortex Using Spherical CNNs - A Study on Alzheimer's Disease Classification.
Proceedings of the 17th IEEE International Symposium on Biomedical Imaging, 2020
2019
Estimating brain age based on a healthy population with deep learning and structural MRI.
CoRR, 2019
Unsupervised Domain Adaption With Adversarial Learning (UDAA) for Emphysema Subtyping on Cardiac CT Scans: The Mesa Study.
Proceedings of the 16th IEEE International Symposium on Biomedical Imaging, 2019
Proceedings of the 16th IEEE International Symposium on Biomedical Imaging, 2019
Enhanced Generative Model for Unsupervised Discovery of Spatially-Informed Macroscopic Emphysema: The Mesa Copd Study.
Proceedings of the 16th IEEE International Symposium on Biomedical Imaging, 2019
2018
Discriminative analysis of the human cortex using spherical CNNs - a study on Alzheimer's disease diagnosis.
CoRR, 2018
Decompose to manipulate: Manipulable Object Synthesis in 3D Medical Images with Structured Image Decomposition.
CoRR, 2018
Alzheimer's disease diagnosis based on anatomically stratified texture analysis of the hippocampus in structural MRI.
Proceedings of the 15th IEEE International Symposium on Biomedical Imaging, 2018
2017
Unsupervised Discovery of Spatially-Informed Lung Texture Patterns for Pulmonary Emphysema: The MESA COPD Study.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2017, 2017
Discriminative Localization in CNNs for Weakly-Supervised Segmentation of Pulmonary Nodules.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2017, 2017
Generative method to discover emphysema subtypes with unsupervised learning using lung macroscopic patterns (LMPS): The MESA COPD study.
Proceedings of the 14th IEEE International Symposium on Biomedical Imaging, 2017
2016
Explaining Radiological Emphysema Subtypes with Unsupervised Texture Prototypes: MESA COPD Study.
Proceedings of the Medical Computer Vision and Bayesian and Graphical Models for Biomedical Imaging, 2016
Emphysema Quantification on Cardiac CT Scans Using Hidden Markov Measure Field Model: The MESA Lung Study.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2016, 2016
Texton and sparse representation based texture classification of lung parenchyma in CT images.
Proceedings of the 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2016