Juan Wang

Orcid: 0000-0003-3124-9901

Affiliations:
  • Delta Micro Technology Inc., Laguna Hills, CA, USA
  • University of California at Irvine, Institute for Genomics and Bioinformatics, CA, USA (former)


According to our database1, Juan Wang authored at least 12 papers between 2017 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

Online presence:

On csauthors.net:

Bibliography

2024
Weakly supervised image segmentation beyond tight bounding box annotations.
Comput. Biol. Medicine, February, 2024

2023
CDRNet: accurate cup-to-disc ratio measurement with tight bounding box supervision in fundus photography using deep learning.
Multim. Tools Appl., May, 2023

2022
Polar Transformation Based Multiple Instance Learning Assisting Weakly Supervised Image Segmentation With Loose Bounding Box Annotations.
CoRR, 2022

2021
Accurate Cup-to-Disc Ratio Measurement with Tight Bounding Box Supervision in Fundus Photography.
CoRR, 2021

Bounding Box Tightness Prior for Weakly Supervised Image Segmentation.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021

2020
Simultaneous Diagnosis of Severity and Features of Diabetic Retinopathy in Fundus Photography Using Deep Learning.
IEEE J. Biomed. Health Informatics, 2020

2019
A Simplified Cohen's Kappa for Use in Binary Classification Data Annotation Tasks.
IEEE Access, 2019

Feasibility of Diagnosing Both Severity and Features of Diabetic Retinopathy in Fundus Photography.
IEEE Access, 2019

Relationships of Cohen's Kappa, Sensitivity, and Specificity for Unbiased Annotations.
Proceedings of the 4th International Conference on Biomedical Signal and Image Processing, 2019

2018
A context-sensitive deep learning approach for microcalcification detection in mammograms.
Pattern Recognit., 2018

2017
Detecting Cardiovascular Disease from Mammograms With Deep Learning.
IEEE Trans. Medical Imaging, 2017

A multi-resolution approach for spinal metastasis detection using deep Siamese neural networks.
Comput. Biol. Medicine, 2017


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