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ORCIDJie Yang 0041
Person information
- affiliation: Columbia University, Department of Biomedical Engineering, NY, USA
Other persons with the same name
- Jie Yang — disambiguation page
- Jie Yang 0001 — Carnegie Mellon University, Pittsburgh, PA, USA
- Jie Yang 0002
![[0000-0003-4801-7162]](https://dblp.dagstuhl.de/img/orcid-mark.12x12.png "0000-0003-4801-7162")
— Shanghai Jiao Tong University, Institute of Image Processing and Pattern Recognition, China (and 1 more) - Jie Yang 0003 — Florida State University, Tallahassee, FL, USA (and 1 more)
- Jie Yang 0004 — University of Science and Technology of China, Department of Precision Machinery and Precision Instrumentation, Hefei, China
- Jie Yang 0005 — University of Massachusetts (and 1 more)
- Jie Yang 0006 — Ishizuka Lab, Tokyo University (and 1 more)
- Jie Yang 0007 — Dalian University of Technology, School of Mathematical Sciences, China
- Jie Yang 0008 — Cisco Systems (and 1 more)
- Jie Yang 0009 (aka: Jie (Jack) Yang) — University of Wollongong, SMART Infrastructure Facility, NSW, Australia
- Jie Yang 0010 — Advanced Micro Devices (and 1 more)
- Jie Yang 0011 — Xidian University, Key Lab of Intelligent Perception and Image Understanding of Ministry of Education of China, China
- Jie Yang 0012 — University of Houston-Victoria (and 1 more)
- Jie Yang 0013 — Syracuse University
- Jie Yang 0014 — IBM China Research Lab (and 1 more)
- Jie Yang 0015 — Yahoo! Labs (and 1 more)
- Jie Yang 0016 — South China University of Technology
- Jie Yang 0017 — Huazhong University of Science and Technology
- Jie Yang 0018 — Beijing Institute of Technology
- Jie Yang 0019 — Shanghai Second Polytechnic University
- Jie Yang 0020 — School of Business, Sun Yat-sen University
- Jie Yang 0021 — Wichita State University
- Jie Yang 0022 — Wuhan University of Technology, Key Laboratory of Fiber Optic Sensing Technology and Information Processing
- Jie Yang 0023 — Beijing University of Posts and Telecommunications, School of Information and Communication Engineering, Research Center of Network Monitoring and Analysis, Beijing Laboratory of Advanced Information Networks / Beijing Key Laboratory of Network System, Architecture and Convergence, China
- Jie Yang 0024 — Yanshan University, School of Electrical Engineering, Qinhuangdao, Hebei, China (and 1 more)
- Jie Yang 0025 — Southeast University, Development Research Center of Transportation Governed by Law, Nanjing, China
- Jie Yang 0026 — Jiangxi University of Science and Technology, Ganzhou, China (and 1 more)
- Jie Yang 0027 — Nanjing University of Posts and Telecommunications, College of Telecommunications and Information Engineering, China
- Jie Yang 0028 — Delft University of Technology, The Netherlands (and 3 more)
- Jie Yang 0029 — Hunan University, College of Computer Science and Electronic Engineering, China
- Jie Yang 0030 — Temple University, School of Dentistry, Division of Oral and Maxillofacial Radiology, Philadelphia, USA
- Jie Yang 0031 — Anhui University, School of Physics & Material Science, Hefei, China
- Jie Yang 0032 — Xidian University, Institute of Intelligent Information Processing, Xi'an, China
- Jie Yang 0033 — Westlake University, Hangzhou, China (and 2 more)
- Jie Yang 0034 — Zhejiang A & F University, Jiyang College, Zhuji, China (and 1 more)
- Jie Yang 0035 — Southeast University, National Mobile Communications Research Laboratory, Nanjing, China
- Jie Yang 0036 — RMIT University, School of Aerospace, Mechanical and Manufacturing Engineering, Melbourne, VIC, Australia
- Jie Yang 0037 — North University of China, Shanxi Provincial Key Laboratory for Biomedical Imaging and Big Data, Taiyuan, China
- Jie Yang 0038 — Institute of Computing Technolgy, Chinese Academy of Sciences, Beijing, China (and 1 more)
- Jie Yang 0039 — Harvard University, Harvard Medical School, USA (and 1 more)
- Jie Yang 0040 — Wuhan University, LIESMARS, China
- Jie Yang 0042 — Nanjing Institute of Technology, School of Communication Engineering, China
- Jie Yang 0043 — Xi'an University of Technology, Institute of Water Resources and Hydro-Electric Engineering, China
- Jie Yang 0044 — Chongqing University, College of Computer Science, China
- Jie Yang 0045 — Northwestern University, Department of Civil and Environmental Engineering, Evanston, IL, USA
- Jie Yang 0046 — Northeastern University, State Key Laboratory of Synthetical Automation for Process Industries, Shenyang, China
- Jie Yang 0047 — Fujian Agriculture and Forestry University, College of Management, Fuzhou, China (and 1 more)
- Jie Yang 0048 — Hangzhou Dianzi University, Management School, China (and 3 more)
- Jie Yang 0049 — Chongqing University of Technology, College of Mechanical Engineering, China (and 1 more)
- Jie Yang 0050 — Nanjing University of Posts and Telecommunications, College of Electronic and Optical Engineering, China
- Jie Yang 0051 — Hangzhou Dianzi University, Key Lab for IOT and Information Fusion Technology of Zhejiang, China (and 1 more)
- Jie Yang 0052 — Zunyi Normal University, School of Physics and Electronic Science, China (and 1 more)
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Journal Articles
- 2021
[j2]Jie Yang, Elsa D. Angelini, Pallavi P. Balte, Eric A. Hoffman, John H. M. Austin, Benjamin M. Smith, R. Graham Barr, Andrew F. Laine:
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 40(12): 3652-3662 (2021)- 2020
- [j1]Jie Yang, Xinyang Feng, Andrew F. Laine, Elsa D. Angelini:
Characterizing Alzheimer's Disease With Image and Genetic Biomarkers Using Supervised Topic Models. IEEE J. Biomed. Health Informatics 24(4): 1180-1187 (2020)
Conference and Workshop Papers
- 2020
- [c11]Hugo Barbaroux, Xinyang Feng, Jie Yang, Andrew F. Laine, Elsa D. Angelini:
Encoding Human Cortex Using Spherical CNNs - A Study on Alzheimer's Disease Classification. ISBI 2020: 1322-1325 - 2019
- [c10]Jie Yang, Thomas Vetterli, Pallavi P. Balte, R. Graham Barr, Andrew F. Laine, Elsa D. Angelini:
Unsupervised Domain Adaption With Adversarial Learning (UDAA) for Emphysema Subtyping on Cardiac CT Scans: The Mesa Study. ISBI 2019: 289-293 - [c9]Yu Gan, Jie Yang, Benjamin M. Smith, Pallavi P. Balte, Eric A. Hoffman, Christine P. Hendon, R. Graham Barr, Andrew F. Laine, Elsa D. Angelini:
Enhanced Generative Model for Unsupervised Discovery of Spatially-Informed Macroscopic Emphysema: The Mesa Copd Study. ISBI 2019: 1212-1215 - [c8]Jie Yang, Siqi Liu, Sasa Grbic, Arnaud Arindra Adiyoso Setio, Zhoubing Xu, Eli Gibson, Guillaume Chabin, Bogdan Georgescu, Andrew F. Laine, Dorin Comaniciu:
Class-Aware Adversarial Lung Nodule Synthesis In CT Images. ISBI 2019: 1348-1352 - 2018
- [c7]Xinyang Feng, Jie Yang, Andrew F. Laine, Elsa D. Angelini:
Alzheimer's disease diagnosis based on anatomically stratified texture analysis of the hippocampus in structural MRI. ISBI 2018: 1546-1549 - 2017
- [c6]Jingkuan Song, Jie Yang, Benjamin M. Smith, Pallavi P. Balte, Eric A. Hoffman, R. Graham Barr, Andrew F. Laine, Elsa D. Angelini:
Generative method to discover emphysema subtypes with unsupervised learning using lung macroscopic patterns (LMPS): The MESA COPD study. ISBI 2017: 375-378 - [c5]Jie Yang, Elsa D. Angelini, Pallavi P. Balte, Eric A. Hoffman, John H. M. Austin, Benjamin M. Smith, Jingkuan Song, R. Graham Barr, Andrew F. Laine:
Unsupervised Discovery of Spatially-Informed Lung Texture Patterns for Pulmonary Emphysema: The MESA COPD Study. MICCAI (1) 2017: 116-124 - [c4]Xinyang Feng, Jie Yang, Andrew F. Laine, Elsa D. Angelini:
Discriminative Localization in CNNs for Weakly-Supervised Segmentation of Pulmonary Nodules. MICCAI (3) 2017: 568-576 - 2016
- [c3]Jie Yang, Xinyang Feng, Elsa D. Angelini, Andrew F. Laine:
Texton and sparse representation based texture classification of lung parenchyma in CT images. EMBC 2016: 1276-1279 - [c2]Jie Yang, Elsa D. Angelini, Benjamin M. Smith, John H. M. Austin, Eric A. Hoffman, David A. Bluemke, R. Graham Barr, Andrew F. Laine:
Explaining Radiological Emphysema Subtypes with Unsupervised Texture Prototypes: MESA COPD Study. MCV/BAMBI@MICCAI 2016: 69-80 - [c1]Jie Yang, Elsa D. Angelini, Pallavi P. Balte, Eric A. Hoffman, Colin O. Wu, Bharath A. Venkatesh, R. Graham Barr, Andrew F. Laine:
Emphysema Quantification on Cardiac CT Scans Using Hidden Markov Measure Field Model: The MESA Lung Study. MICCAI (2) 2016: 624-631
Informal and Other Publications
- 2020
- [i7]Jie Yang, Elsa D. Angelini, Pallavi P. Balte, Eric A. Hoffman, John H. M. Austin, Benjamin M. Smith, R. Graham Barr, Andrew F. Laine:
Novel Subtypes of Pulmonary Emphysema Based on Spatially-Informed Lung Texture Learning. CoRR abs/2007.04978 (2020) - 2019
- [i6]Xinyang Feng, Zachary C. Lipton, Jie Yang, Scott A. Small, Frank A. Provenzano:
Estimating brain age based on a healthy population with deep learning and structural MRI. CoRR abs/1907.00943 (2019) - 2018
- [i5]Siqi Liu, Eli Gibson, Sasa Grbic, Zhoubing Xu, Arnaud Arindra Adiyoso Setio, Jie Yang, Bogdan Georgescu, Dorin Comaniciu:
Decompose to manipulate: Manipulable Object Synthesis in 3D Medical Images with Structured Image Decomposition. CoRR abs/1812.01737 (2018) - [i4]Xinyang Feng, Jie Yang, Andrew F. Laine, Elsa D. Angelini:
Discriminative analysis of the human cortex using spherical CNNs - a study on Alzheimer's disease diagnosis. CoRR abs/1812.07749 (2018) - [i3]Jie Yang, Siqi Liu, Sasa Grbic, Arnaud Arindra Adiyoso Setio, Zhoubing Xu, Eli Gibson, Guillaume Chabin, Bogdan Georgescu, Andrew F. Laine, Dorin Comaniciu:
Class-Aware Adversarial Lung Nodule Synthesis in CT Images. CoRR abs/1812.11204 (2018) - 2017
- [i2]Xinyang Feng, Jie Yang, Andrew F. Laine, Elsa D. Angelini:
Discriminative Localization in CNNs for Weakly-Supervised Segmentation of Pulmonary Nodules. CoRR abs/1707.01086 (2017) - 2016
- [i1]Jie Yang, Elsa D. Angelini, Benjamin M. Smith, John H. M. Austin, Eric A. Hoffman, David A. Bluemke, R. Graham Barr, Andrew F. Laine:
Explaining Radiological Emphysema Subtypes with Unsupervised Texture Prototypes: MESA COPD Study. CoRR abs/1612.01820 (2016)
Coauthor Index
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