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Juan Wang

Affiliations:
  • Illinois Institute of Technology, Chicago, IL, USA


According to our database1, Juan Wang authored at least 13 papers between 2012 and 2020.

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

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

On csauthors.net:

Bibliography

2020
Deep Learning Features for Modeling Perceptual Similarity in Microcalcification Lesion Retrieval.
[BibTeX]
[DOI]
Juan Wang
,
Liang Lei
,
Yongyi Yang
Proceedings of the 17th IEEE International Symposium on Biomedical Imaging, 2020

2019
A Hierarchical Learning Approach for Detection of Clustered Microcalcifications in Mammograms.
[BibTeX]
[DOI]
Juan Wang
,
Yongyi Yang
Proceedings of the 2019 IEEE International Conference on Image Processing, 2019

2018
Context-Sensitive Deep Learning for Detection of Clustered Micro Calcifications in Mammograms.
[BibTeX]
[DOI]
Juan Wang
,
Yongyi Yang
Proceedings of the 2018 IEEE International Conference on Acoustics, 2018

2016
An image-retrieval aided diagnosis system for clustered microcalcifications.
[BibTeX]
[DOI]
Juan Wang
,
Yongyi Yang
,
Miles N. Wernick
,
Robert M. Nishikawa
Proceedings of the 13th IEEE International Symposium on Biomedical Imaging, 2016

Quantitative study of image features of clustered microcalcifications in for-presentation mammograms.
[BibTeX]
[DOI]
Juan Wang
,
Yongyi Yang
,
Robert M. Nishikawa
Proceedings of the 2016 IEEE International Conference on Image Processing, 2016

Boosted classification of breast cancer by retrieval of cases having similar disease likelihood.
[BibTeX]
[DOI]
Juan Wang
,
Yongyi Yang
Proceedings of the 2016 IEEE International Conference on Acoustics, 2016

2015
Feature saliency analysis for perceptual similarity of clustered microcalcifications.
[BibTeX]
[DOI]
Juan Wang
,
Yongyi Yang
Proceedings of the 2015 IEEE International Conference on Image Processing, 2015

2014
Exploring perceptually similar cases with multi-dimensional scaling.
[BibTeX]
[DOI]
Juan Wang
,
Yongyi Yang
,
Miles N. Wernick
,
Robert M. Nishikawa
Proceedings of the Medical Imaging 2014: Computer-Aided Diagnosis, San Diego, 2014

Adaboost with dummy-variable modeling for reduction of false positives in detection of clustered microcalcifications.
[BibTeX]
[DOI]
Juan Wang
,
Yongyi Yang
Proceedings of the 2014 IEEE International Conference on Image Processing, 2014

2013
Spatial density modeling for discirminating between benign and malignant microcalcification lesions.
[BibTeX]
[DOI]
Juan Wang
,
Yongyi Yang
Proceedings of the 10th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2013

Reduction of false positive detection in clustered microcalcifications.
[BibTeX]
[DOI]
Juan Wang
,
Yongyi Yang
,
Robert M. Nishikawa
Proceedings of the IEEE International Conference on Image Processing, 2013

2012
Exploiting rotation invariance with SVM classifier for microcalcification detection.
[BibTeX]
[DOI]
Yan Yang
,
Juan Wang
,
Yongyi Yang
Proceedings of the 9th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2012

Improving SVM classifier with prior knowledge in microcalcification detection1.
[BibTeX]
[DOI]
Yan Yang
,
Juan Wang
,
Yongyi Yang
Proceedings of the 19th IEEE International Conference on Image Processing, 2012


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