Edward Kim
Edward Kim
Associate Professor of Computer Science, Drexel University
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Zitiert von
Zitiert von
Multi-feature based benchmark for cervical dysplasia classification evaluation
T Xu, H Zhang, C Xin, E Kim, LR Long, Z Xue, S Antani, X Huang
Pattern recognition 63, 468-475, 2017
A hierarchical image clustering cosegmentation framework
E Kim, H Li, X Huang
2012 IEEE Conference on Computer Vision and Pattern Recognition, 686-693, 2012
Object matching with a locally affine-invariant constraint
H Li, E Kim, X Huang, L He
2010 IEEE Computer Society Conference on Computer Vision and Pattern …, 2010
Multimodal entity coreference for cervical dysplasia diagnosis
D Song, E Kim, X Huang, J Patruno, H Muñoz-Avila, J Heflin, LR Long, ...
IEEE transactions on medical imaging 34 (1), 229-245, 2014
A deep semantic mobile application for thyroid cytopathology
E Kim, M Corte-Real, Z Baloch
Medical Imaging 2016: PACS and Imaging Informatics: Next Generation and …, 2016
A data driven approach to cervigram image analysis and classification
E Kim, X Huang
Color medical image analysis, 1-13, 2013
Adjustable adaboost classifier and pyramid features for image-based cervical cancer diagnosis
T Xu, E Kim, X Huang
2015 IEEE 12th international symposium on biomedical imaging (ISBI), 281-285, 2015
Inpatient hospital charge variability of US hospitals
JD Park, E Kim, RM Werner
Journal of general internal medicine 30, 1627-1632, 2015
A parallel cellular automata with label priors for interactive brain tumor segmentation
E Kim, T Shen, X Huang
2010 IEEE 23rd International Symposium on Computer-Based Medical Systems …, 2010
Deep Sparse Coding for Invariant Multimodal Halle Berry Neurons
E Kim, D Hannan, G Kenyon
Computer Vision and Pattern Recognition (CVPR), 2018 IEEE Conference on …, 2018
Multimodal deep learning using images and text for information graphic classification
E Kim, KF McCoy
Proceedings of the 20th International ACM SIGACCESS Conference on Computers …, 2018
A new image data set and benchmark for cervical dysplasia classification evaluation
T Xu, C Xin, L Rodney Long, S Antani, Z Xue, E Kim, X Huang
Machine Learning in Medical Imaging: 6th International Workshop, MLMI 2015 …, 2015
A 3D Laplacian-driven parametric deformable model
T Shen, X Huang, H Li, E Kim, S Zhang, J Huang
2011 International Conference on Computer Vision, 279-286, 2011
Modeling biological immunity to adversarial examples
E Kim, J Rego, Y Watkins, GT Kenyon
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2020
A neuromorphic sparse coding defense to adversarial images
E Kim, J Yarnall, P Shah, GT Kenyon
Proceedings of the International Conference on Neuromorphic Systems, 1-8, 2019
Markup SVG—An online content-aware image abstraction and annotation tool
E Kim, X Huang, G Tan
IEEE Transactions on Multimedia 13 (5), 993-1006, 2011
Multi-test cervical cancer diagnosis with missing data estimation
T Xu, X Huang, E Kim, LR Long, S Antani
Medical imaging 2015: Computer-aided diagnosis 9414, 236-243, 2015
A parallel annealing method for automatic color cervigram image segmentation
E Kim, W Wang, H Li, X Huang
Medical Image Computing and Computer Assisted Intervention, MICCAI-GRID 2009 …, 2009
Using sinusoidally-modulated noise as a surrogate for slow-wave sleep to accomplish stable unsupervised dictionary learning in a spike-based sparse coding model
Y Watkins, E Kim, A Sornborger, GT Kenyon
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2020
Classifiers based on deep sparse coding architectures are robust to deep learning transferable examples
JM Springer, CS Strauss, AM Thresher, E Kim, GT Kenyon
arXiv preprint arXiv:1811.07211, 2018
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