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ORCIDJuan Wang 0002
Person information
- affiliation: Delta Micro Technology Inc., Laguna Hills, CA, USA
- affiliation (former): University of California at Irvine, Institute for Genomics and Bioinformatics, CA, USA
Other persons with the same name
- Juan Wang — disambiguation page
- Juan Wang 0001 — Imperial College London, UK
- Juan Wang 0003
![[0000-0003-3934-0435]](https://dblp.org/img/orcid-mark.12x12.png "0000-0003-3934-0435")
— 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 0007 — Illinois Institute of Technology, Chicago, IL, USA
- 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
- 2024
[j8]Juan Wang, Bin Xia:
Weakly supervised image segmentation beyond tight bounding box annotations. Comput. Biol. Medicine 169: 107913 (2024)- 2023
- [j7]Juan Wang, Bin Xia:
CDRNet: accurate cup-to-disc ratio measurement with tight bounding box supervision in fundus photography using deep learning. Multim. Tools Appl. 82(11): 16455-16477 (2023) - [i4]Juan Wang, Bin Xia:
Weakly Supervised Image Segmentation Beyond Tight Bounding Box Annotations. CoRR abs/2301.12053 (2023) - 2022
- [i3]Juan Wang, Bin Xia:
Polar Transformation Based Multiple Instance Learning Assisting Weakly Supervised Image Segmentation With Loose Bounding Box Annotations. CoRR abs/2203.06000 (2022) - 2021
- [c2]Juan Wang, Bin Xia:
Bounding Box Tightness Prior for Weakly Supervised Image Segmentation. MICCAI (2) 2021: 526-536 - [i2]Juan Wang, Bin Xia:
Bounding Box Tightness Prior for Weakly Supervised Image Segmentation. CoRR abs/2110.00934 (2021) - [i1]Juan Wang, Bin Xia:
Accurate Cup-to-Disc Ratio Measurement with Tight Bounding Box Supervision in Fundus Photography. CoRR abs/2110.00943 (2021) - 2020
- [j6]Juan Wang, Yujing Bai, Bin Xia:
Simultaneous Diagnosis of Severity and Features of Diabetic Retinopathy in Fundus Photography Using Deep Learning. IEEE J. Biomed. Health Informatics 24(12): 3397-3407 (2020)
2010 – 2019
- 2019
- [j5]Juan Wang, Yujing Bai, Bin Xia:
Feasibility of Diagnosing Both Severity and Features of Diabetic Retinopathy in Fundus Photography. IEEE Access 7: 102589-102597 (2019) - [j4]Juan Wang, Yongyi Yang, Bin Xia:
A Simplified Cohen's Kappa for Use in Binary Classification Data Annotation Tasks. IEEE Access 7: 164386-164397 (2019) - [c1]Juan Wang, Bin Xia:
Relationships of Cohen's Kappa, Sensitivity, and Specificity for Unbiased Annotations. ICBIP 2019: 98-101 - 2018
- [j3]Juan Wang, Yongyi Yang:
A context-sensitive deep learning approach for microcalcification detection in mammograms. Pattern Recognit. 78: 12-22 (2018) - 2017
- [j2]Juan Wang, Zhiyuan Fang, Ning Lang, Huishu Yuan, Min-Ying Su, Pierre Baldi:
A multi-resolution approach for spinal metastasis detection using deep Siamese neural networks. Comput. Biol. Medicine 84: 137-146 (2017) - [j1]Juan Wang, Huanjun Ding, Fatemeh Azamian Bidgoli, Brian Zhou, Carlos Iribarren, Sabee Molloi, Pierre Baldi:
Detecting Cardiovascular Disease from Mammograms With Deep Learning. IEEE Trans. Medical Imaging 36(5): 1172-1181 (2017)
Coauthor Index
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last updated on 2024-12-13 19:13 CET by the dblp team
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