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Juan Wang
Juan Wang
Horizon Med Innovation Inc.
Verified email at hawk.iit.edu
Title
Cited by
Cited by
Year
Detecting cardiovascular disease from mammograms with deep learning
J Wang, H Ding, FA Bidgoli, B Zhou, C Iribarren, S Molloi, P Baldi
IEEE transactions on medical imaging 36 (5), 1172-1181, 2017
2422017
A multi-resolution approach for spinal metastasis detection using deep Siamese neural networks
J Wang, Z Fang, N Lang, H Yuan, MY Su, P Baldi
Computers in Biology and Medicine 84, 137-146, 2017
1342017
A context-sensitive deep learning approach for microcalcification detection in mammograms
J Wang, Y Yang
Pattern Recognition 78, 12-22, 2018
932018
Simultaneous Diagnosis of Severity and Features of Diabetic Retinopathy in Fundus Photography Using Deep Learning
J Wang, Y Bai, B Xia
IEEE Journal of Biomedical and Health Informatics 24 (12), 3397-3407, 2020
642020
Improving SVM classifier with prior knowledge in microcalcification detection1
Y Yang, J Wang, Y Yang
2012 19th IEEE International Conference on Image Processing, 2837-2840, 2012
422012
A Simplified Cohen’s Kappa for Use in Binary Classification Data Annotation Tasks
J Wang, Y Yang, B Xia
IEEE Access 7, 164386-164397, 2019
332019
Global detection approach for clustered microcalcifications in mammograms using a deep learning network
J Wang, RM Nishikawa, Y Yang
Journal of Medical Imaging 4 (2), 024501-024501, 2017
332017
Bounding box tightness prior for weakly supervised image segmentation
J Wang, B Xia
Medical Image Computing and Computer Assisted Intervention–MICCAI 2021: 24th …, 2021
282021
Improving the accuracy in detection of clustered microcalcifications with a context-sensitive classification model
J Wang, RM Nishikawa, Y Yang
Medical Physics 43 (1), 159-170, 2016
272016
Feasibility of diagnosing both severity and features of diabetic retinopathy in fundus photography
J Wang, Y Bai, B Xia
IEEE Access 7, 102589-102597, 2019
252019
Exploiting rotation invariance with SVM classifier for microcalcification detection
Y Yang, J Wang, Y Yang
2012 9th IEEE International Symposium on Biomedical Imaging (ISBI), 590-593, 2012
202012
Reduction of false positive detection in clustered microcalcifications
J Wang, Y Yang, RM Nishikawa
2013 IEEE International Conference on Image Processing, 1433-1437, 2013
192013
Analysis of perceived similarity between pairs of microcalcification clusters in mammograms
J Wang, H Jing, MN Wernick, RM Nishikawa, Y Yang
Medical physics 41 (5), 051904, 2014
152014
Spatial density modeling for discirminating between benign and malignant microcalcification lesions
J Wang, Y Yang
2013 IEEE 10th International Symposium on Biomedical Imaging, 133-136, 2013
112013
Relationships of Cohen's Kappa, Sensitivity, and Specificity for Unbiased Annotations
J Wang, B Xia
Proceedings of the 4th International Conference on Biomedical Signal and …, 2019
102019
Quantitative comparison of clustered microcalcifications in for‐presentation and for‐processing mammograms in full‐field digital mammography
J Wang, RM Nishikawa, Y Yang
Medical physics 44 (7), 3726-3738, 2017
102017
Tree-based multiscale pursuit
J Wang, Q Wan, A Huang, T Gan
2009 International Conference on Communications, Circuits and Systems, 521-524, 2009
82009
A Hierarchical Learning Approach for Detection of Clustered Microcalcifications in Mammograms
J Wang, Y Yang
2019 IEEE International Conference on Image Processing (ICIP), 804-808, 2019
72019
An image-retrieval aided diagnosis system for clustered microcalcifications
J Wang, Y Yang, MN Wernick, RM Nishikawa
2016 IEEE 13th International Symposium on Biomedical Imaging (ISBI), 1076-1079, 2016
72016
Feature saliency analysis for perceptual similarity of clustered microcalcifications
J Wang, Y Yang
2015 IEEE International Conference on Image Processing (ICIP), 775-778, 2015
62015
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