A multi-resolution approach for spinal metastasis detection using deep Siamese neural networks. - Juan Wang 002; Zhiyuan Fang; Ning Lang; Huishu Yuan; Min-Ying Su; Pierre Baldi (Comput. Biol. Medicine, 2017)

Detecting Cardiovascular Disease from Mammograms With Deep Learning. - Juan Wang 002; Huanjun Ding; Fatemeh Azamian Bidgoli; Brian Zhou; Carlos Iribarren; Sabee Molloi; Pierre Baldi (IEEE Trans. Medical Imaging, 2017)

A context-sensitive deep learning approach for microcalcification detection in mammograms. - Juan Wang 002; Yongyi Yang (Pattern Recognit., 2018)

Relationships of Cohen's Kappa, Sensitivity, and Specificity for Unbiased Annotations. - Juan Wang 002; Bin Xia 006 (ICBIP, 2019)

Feasibility of Diagnosing Both Severity and Features of Diabetic Retinopathy in Fundus Photography. - Juan Wang 002; Yujing Bai; Bin Xia 006 (IEEE Access, 2019)

A Simplified Cohen's Kappa for Use in Binary Classification Data Annotation Tasks. - Juan Wang 002; Yongyi Yang; Bin Xia 006 (IEEE Access, 2019)

Simultaneous Diagnosis of Severity and Features of Diabetic Retinopathy in Fundus Photography Using Deep Learning. - Juan Wang 002; Yujing Bai; Bin Xia 006 (IEEE J. Biomed. Health Informatics, 2020)

Bounding Box Tightness Prior for Weakly Supervised Image Segmentation. - Juan Wang 002; Bin Xia 006 (MICCAI (2), 2021)

Accurate Cup-to-Disc Ratio Measurement with Tight Bounding Box Supervision in Fundus Photography. - Juan Wang 002; Bin Xia 006 (CoRR, 2021)

Polar Transformation Based Multiple Instance Learning Assisting Weakly Supervised Image Segmentation With Loose Bounding Box Annotations. - Juan Wang 002; Bin Xia 006 (CoRR, 2022)

CDRNet: accurate cup-to-disc ratio measurement with tight bounding box supervision in fundus photography using deep learning. - Juan Wang 002; Bin Xia 006 (Multim. Tools Appl., 2023)

Weakly supervised image segmentation beyond tight bounding box annotations. - Juan Wang 002; Bin Xia 006 (Comput. Biol. Medicine, 2024)