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ORCIDJuan Wang 0007
Person information
- affiliation: Illinois Institute of Technology, Chicago, IL, USA
Other persons with the same name
- Juan Wang — disambiguation page
- Juan Wang 0001 — Imperial College London, UK
- Juan Wang 0002
![[0000-0003-3124-9901]](https://dblp.dagstuhl.de/img/orcid-mark.12x12.png "0000-0003-3124-9901")
— Delta Micro Technology Inc., Laguna Hills, CA, USA (and 1 more) - Juan Wang 0003 — Qufu Normal University, School of Information Science and Engineering, Rizhao, Shandong, China
- Juan Wang 0004 — Shenyang Jianzhu University, Faculty of Information and Control Engineering, China (and 1 more)
- Juan Wang 0005 — Jiangsu University, School of Finance and Economics, Zhenjiang, China
- Juan Wang 0006 — Wuhan University, School of Computer, China (and 1 more)
- Juan Wang 0008 — Nanjing University of Posts and Telecommunications, Nanjing, China
- Juan Wang 0009 — Second Institute of Oceanography, Ministry of Natural Resources, Hangzhou, China
- Juan Wang 0010 — Tianjin University of Technology, Tianjin, China
- Juan Wang 0011 — Inner Mongolia University, School of Computer Science, Hohhot, China
- Juan Wang 0012 — Tsinghua University, Beijing, China
- Juan Wang 0013 — Huzhou University, School of Engineering, Huzhou, China
- Juan Wang 0014 — Shanghai Maritime University, Shanghai, China
- Juan Wang 0015 — Chinese Academy of Sciences, Department of Biomedical and Health Engineering, Shenzhen, China
- Juan Wang 0016 — Queen's University, Kingston, Ontario, Canada
- Juan Wang 0017 — Chengdu University of Information Technology, School of Cybersecurity, Chengdu, China
- Juan Wang 0018 — Peking University, School of Basic Medical Sciences, Beijing, China
- Juan Wang 0019 — Hubei University of Technology, Hubei Key Laboratory for High-efficiency Utilization of Solar Energy and Operation Control of Energy Storage System, Wuhan, China
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2020 – today
- 2020
[c13]Juan Wang, Liang Lei, Yongyi Yang:
Deep Learning Features for Modeling Perceptual Similarity in Microcalcification Lesion Retrieval. ISBI 2020: 1486-1489
2010 – 2019
- 2019
- [c12]Juan Wang, Yongyi Yang:
A Hierarchical Learning Approach for Detection of Clustered Microcalcifications in Mammograms. ICIP 2019: 804-808 - 2018
- [c11]Juan Wang, Yongyi Yang:
Context-Sensitive Deep Learning for Detection of Clustered Micro Calcifications in Mammograms. ICASSP 2018: 1000-1004 - 2016
- [c10]Juan Wang, Yongyi Yang:
Boosted classification of breast cancer by retrieval of cases having similar disease likelihood. ICASSP 2016: 908-911 - [c9]Juan Wang, Yongyi Yang, Robert M. Nishikawa:
Quantitative study of image features of clustered microcalcifications in for-presentation mammograms. ICIP 2016: 3404-3408 - [c8]Juan Wang, Yongyi Yang, Miles N. Wernick, Robert M. Nishikawa:
An image-retrieval aided diagnosis system for clustered microcalcifications. ISBI 2016: 1076-1079 - 2015
- [c7]Juan Wang, Yongyi Yang:
Feature saliency analysis for perceptual similarity of clustered microcalcifications. ICIP 2015: 775-778 - 2014
- [c6]Juan Wang, Yongyi Yang:
Adaboost with dummy-variable modeling for reduction of false positives in detection of clustered microcalcifications. ICIP 2014: 2295-2298 - [c5]Juan Wang, Yongyi Yang, Miles N. Wernick, Robert M. Nishikawa:
Exploring perceptually similar cases with multi-dimensional scaling. Medical Imaging: Computer-Aided Diagnosis 2014: 90351W - 2013
- [c4]Juan Wang, Yongyi Yang, Robert M. Nishikawa:
Reduction of false positive detection in clustered microcalcifications. ICIP 2013: 1433-1437 - [c3]Juan Wang, Yongyi Yang:
Spatial density modeling for discirminating between benign and malignant microcalcification lesions. ISBI 2013: 133-136 - 2012
- [c2]Yan Yang, Juan Wang, Yongyi Yang:
Improving SVM classifier with prior knowledge in microcalcification detection1. ICIP 2012: 2837-2840 - [c1]Yan Yang, Juan Wang, Yongyi Yang:
Exploiting rotation invariance with SVM classifier for microcalcification detection. ISBI 2012: 590-593
Coauthor Index
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