Juan Wang

14 papers Journal 12Unranked 2
YearRankTypeTitle / Venue / Authors
2024 J jnl
Weakly supervised image segmentation beyond tight bounding box annotations.
Comput. Biol. Medicine
Juan Wang, Bin Xia
2023 J jnl
CDRNet: accurate cup-to-disc ratio measurement with tight bounding box supervision in fundus photography using deep learning.
Multim. Tools Appl.
Juan Wang, Bin Xia
2023 J jnl
Weakly Supervised Image Segmentation Beyond Tight Bounding Box Annotations.
CoRR
Juan Wang, Bin Xia
2022 J jnl
Polar Transformation Based Multiple Instance Learning Assisting Weakly Supervised Image Segmentation With Loose Bounding Box Annotations.
CoRR
Juan Wang, Bin Xia
2021 J jnl
Accurate Cup-to-Disc Ratio Measurement with Tight Bounding Box Supervision in Fundus Photography.
CoRR
Juan Wang, Bin Xia
2021 — conf
Bounding Box Tightness Prior for Weakly Supervised Image Segmentation.
MICCAI (2)
Juan Wang, Bin Xia
2021 J jnl
Bounding Box Tightness Prior for Weakly Supervised Image Segmentation.
CoRR
Juan Wang, Bin Xia
2020 J jnl
Simultaneous Diagnosis of Severity and Features of Diabetic Retinopathy in Fundus Photography Using Deep Learning.
IEEE J. Biomed. Health Informatics
Juan Wang, Yujing Bai, Bin Xia
2019 J jnl
A Simplified Cohen's Kappa for Use in Binary Classification Data Annotation Tasks.
IEEE Access
Juan Wang, Yongyi Yang, Bin Xia
2019 J jnl
Feasibility of Diagnosing Both Severity and Features of Diabetic Retinopathy in Fundus Photography.
IEEE Access
Juan Wang, Yujing Bai, Bin Xia
2019 — conf
Relationships of Cohen's Kappa, Sensitivity, and Specificity for Unbiased Annotations.
ICBIP
Juan Wang, Bin Xia
2018 J jnl
A context-sensitive deep learning approach for microcalcification detection in mammograms.
Pattern Recognit.
Juan Wang, Yongyi Yang
2017 J jnl
A multi-resolution approach for spinal metastasis detection using deep Siamese neural networks.
Comput. Biol. Medicine
Juan Wang, Zhiyuan Fang, Ning Lang, Huishu Yuan, Min-Ying Su, Pierre Baldi
2017 J jnl
Detecting Cardiovascular Disease from Mammograms With Deep Learning.
IEEE Trans. Medical Imaging
Juan Wang, Huanjun Ding, Fatemeh Azamian Bidgoli, Brian Zhou, Carlos Iribarren, Sabee Molloi, Pierre Baldi