Improving SVM classifier with prior knowledge in microcalcification detection1. - Yan Yang; Juan Wang 007; Yongyi Yang (ICIP, 2012)

Exploiting rotation invariance with SVM classifier for microcalcification detection. - Yan Yang; Juan Wang 007; Yongyi Yang (ISBI, 2012)

Reduction of false positive detection in clustered microcalcifications. - Juan Wang 007; Yongyi Yang; Robert M. Nishikawa (ICIP, 2013)

Spatial density modeling for discirminating between benign and malignant microcalcification lesions. - Juan Wang 007; Yongyi Yang (ISBI, 2013)

Adaboost with dummy-variable modeling for reduction of false positives in detection of clustered microcalcifications. - Juan Wang 007; Yongyi Yang (ICIP, 2014)

Exploring perceptually similar cases with multi-dimensional scaling. - Juan Wang 007; Yongyi Yang; Miles N. Wernick; Robert M. Nishikawa (Computer-Aided Diagnosis, 2014)

Feature saliency analysis for perceptual similarity of clustered microcalcifications. - Juan Wang 007; Yongyi Yang (ICIP, 2015)

Boosted classification of breast cancer by retrieval of cases having similar disease likelihood. - Juan Wang 007; Yongyi Yang (ICASSP, 2016)

Quantitative study of image features of clustered microcalcifications in for-presentation mammograms. - Juan Wang 007; Yongyi Yang; Robert M. Nishikawa (ICIP, 2016)

An image-retrieval aided diagnosis system for clustered microcalcifications. - Juan Wang 007; Yongyi Yang; Miles N. Wernick; Robert M. Nishikawa (ISBI, 2016)

Context-Sensitive Deep Learning for Detection of Clustered Micro Calcifications in Mammograms. - Juan Wang 007; Yongyi Yang (ICASSP, 2018)

A Hierarchical Learning Approach for Detection of Clustered Microcalcifications in Mammograms. - Juan Wang 007; Yongyi Yang (ICIP, 2019)

Deep Learning Features for Modeling Perceptual Similarity in Microcalcification Lesion Retrieval. - Juan Wang 007; Liang Lei; Yongyi Yang (ISBI, 2020)