Journal Publications

T. Xu, H. Zhang, C. Xin, E.Kim, L.R. Long, Z. Xue, S. Antani, X. Huang, "Multi-feature Based Benchmark for Cervical Dysplasia Classification Evaluation", Pattern Recognition, Sept 2016. [PDF]

J. Park, E.Kim, R. Werner, "Inpatient Hospital Charge Variability of U.S. Hospitals", Journal of Internal Medicine, May 2015. [PDF]

D.Song, E.Kim, X.Huang, J.Patruno, H.Munoz-Avila, J.Heflin, L. Rodney Long, S.Antani, "Multi-modal Entity Coreference for Cervical Dysplasia Diagnosis", In IEEE Transactions on Medical Imaging, Vol. 34, No. 1, pp.229-245, Jan. 2015. [PDF]

E.Kim, X.Huang, G.Tan, "Markup SVG - An Online Content Aware Image Abstraction and Annotation Tool", In IEEE Transactions on Multimedia, Vol. 13, Issue 5, Oct. 2011. [PDF]

Book Chapters

E.Kim and X. Huang, "A Data Driven Approach to Cervigram Image Analysis and Classification", In Color Medical Image Analysis, Lecture Notes in Computational Vision and Biomechanics, Volume 6, 2013. DOI: 10.1007/978-94-007-5389-1 1 [PDF]

Peer Reviewed Publications

E.Kim, K.McCoy, "Multimodal Deep Learning using Images and Text for Information Graphic Classification", ACM SIGACCESS Conference on Computers and Accessibility, Assets, 2018. [to appear]

E.Kim, D.Hannan, G.Kenyon, "Deep Sparse Coding for Invariant Multimodal Halle Berry Neurons", International Conference on Computer Vision and Pattern Recognition, CVPR, 2018. [to appear]

E.Kim, S.Mente, A.Keenan, V.Gehlot, "Digital Pathology Annotation Data for Improved Deep Neural Network Classification", In Imaging Informatics for Healthcare, Research, and Applications, SPIE Medical Imaging, 2017. [PDF] [Presentation]

E.Kim and C.Moritz, "Enhancing the Communication Spectrum in Collaborative Virtual Environments", In 12th International Symposium on Visual Computing, ISVC 2016.[PDF] [Github]

E.Kim and S.Vangala, "Deep Action Unit Classification using a Binned Intensity Loss and Semantic Context Model", In 23rd International Conference on Pattern Recognition, ICPR 2016. [ [PDF]

E.Kim and S.Vangala, "Vinereactor: Crowdsourced Spontaneous Facial Expression Data", In ACM International Conference on Multimedia Retreival, ICMR 2016. [PDF]

E.Kim, M. Corte-Real, Z.Baloch, "A Deep Semantic Mobile Application for Thyroid Cytopathology", In SPIE Medical Imaging 2016: Advanced PACS-based Imaging Informatics and Therapeutic Applications, 2016. [PDF]

T.Xu, E.Kim, and X.Huang, "Adjustable AdaBoost Classifier and Pyramid Features for Image-based Cervical Cancer Diagnosis", In International Symposium on Biomedical Imaging, ISBI 2015. (Best Student Paper Finalist) [PDF]

E.Kim, Z.Baloch, C.Kim, "Computer Assisted Detection and Analysis of Tall Cell Variant Papillary Thyroid Carcinoma in Histological Images", In SPIE Medical Imaging 2015: Digital Pathology, 2015. [PDF]

T.Xu, X.Huang, E.Kim, L. Rodney Long, S.Antani, "Multi-test Cervical Cancer Diagnosis with Missing Data Estimation", In SPIE Medical Imaging 2015: Computer Aided Diagnosis, 2015. [PDF]

S.Bouloutian and E.Kim, "Artificial Intelligence Gaming Assistant for Google Glass", In International Symposium on Visual Computing, ISVC, 2014. [PDF]

E.Kim, H.Li, and X.Huang, "A Hierarchical Image Clustering Cosegmentation Framework", In IEEE Computer Society Conference in Computer Vision and Pattern Recognition, CVPR 2012. [PDF]

T.Shen, X.Huang, H.Li, E.Kim, S.Zhang, and J.Huang, "A 3D Laplacian-Driven Parametric Deformable Model", In IEEE International Conference on Computer Vision, ICCV 2011. [PDF]

E.Kim, X.Huang, and J.Heflin, "Finding VIPS - A Visual Image Persons Search Using A Content Property Reasoner and Web Ontology", In IEEE International Conference on Multimedia & Expo, ICME 2011. [PDF]

E.Kim, S.Antani, X.Huang, L.R.Long, and D.Demner-Fushman, "Using Relevant Regions in Image Search and Query Refinement for Medical CBIR", In SPIE Medical Imaging 2011: Advanced PACS-based Imaging Informatics and Therapeutic Applications, 2011. [PDF]

E.Kim, T.Shen, and X.Huang, "A Parallel Cellular Automata with Label Priors for Interactive Brain Tumor Segmentation", In the 23RD IEEE International Symposium on Computer-Based Medical Systems, CBMS 2010. [PDF]

H.Li, E.Kim, X.Huang, and L.He, "Object Matching with a Locally Affine-Invariant Constraint", In IEEE Computer Society Conf. Computer Vision and Pattern Recognition, CVPR 2010. [PDF]

E.Kim, X.Huang, G.Tan, L.R.Long, and S.Antani, "A hierarchical SVG image abstraction layer for medical imaging", In SPIE Medical Imaging 2010: Advanced PACS-based Imaging Informatics and Therapeutic Applications, 2010. [PDF]

E.Kim, W.Wang, H.Li, and X.Huang, "A Parallel Annealing Method For Auto- matic Color Cervigram Image Segmentation", In Medical Image Computing and Computer Assisted Intervention, MICCAI-GRID, 2009. [PDF]

Other Publications and Presentations

E.Kim, D.Hannan, G.Kenyon, "Deep Sparse Coding for Invariant Multimodal Halle Berry Neurons", in COSYNE, 2018. (poster presentation)

E.Kim, D.Hannan, G.Kenyon, "Hierarchical Sparse Coding for Multimodal Deep Learning", in IEEE International Conference on Rebooting Computing, 2017. (poster presentation)

E.Kim, D.Hannan, G.Kenyon, "Deep Sparse Autoencoders for Invariant Multimodal Halle Berry Neurons", in Information Science and Technology Institute, Los Alamos National Lab, 2017. (talk)

E.Kim, "Deep Sparsity in Deep Learning", in Navy Center for Applied Research in Artificial Intelligence Naval Research Laboratory, 2017. (talk)

E.Kim and V.Gehlot, "Tools of the Trade for Precision Medicine: Deep Data Analysis with Machine Learning and Process Modeling Techniques", in IEEE International Conference on Biomedical and Health Informatics, 2017. (tutorial presentation)

E.Kim, V.Gehlot, "Crowdsourcing Cytopathology for Deep Learning Data Augmentation", in MidAtlantic Bioinformatics Conference, 2016. (poster presentation)

E.Kim, "Deep Neural Networks for Cytopathology", in Computing Research Addressing National Priorities and Societal Needs, Computing Community Consortium, Washington DC, 2016.

E.Kim and V.Gehlot, "Utilizing Trained Deep Neural Networks for Classification in Cytopathology", in Workshop on Data Science, Learning and Applications to Biomedical and Health Sciences (DSLA-BHS2016), 2016.

E.Kim and J.Park, "wHealth - A Window to your Future Health." Health 2.0 Conference in Santa Clara, CA. 2013

E.Kim, H.Li, and X.Huang, "A Hierarchial Image Clustering Cosegmentation Framework", In IEEE International Conference on Computational Photography, ICCP 2012.

E.Kim and X.Huang, "Crowdsourcing Image Segmentation using SVG", In SVG Open, 2011. [PDF]

Grants and Monetary Awards

"Digital Pathology Annotation Data for Improved Deep Neural Network Classification." University Summer Grants Program, Villanova University, PI, $12,488, 2/1/2016.

"Deep Learning for General Video Emotion Classification." Amazon, PI, $6,000, 12/1/2015.

"Virtual Reality Simulation for Teaching and Assessment of Anesthesia Crisis Management." Royal College of Physicians and Surgeons of Canada, Co-PI, $22,936.85, 11/1/2015.

"wHealth - A Window to your future Health." Robert Wood Johnson Foundation and Health 2.0. Games To Generate Data Challenge. Phase II award. Co-PI, $100,000, 10/1/2013.

"A window to hospital pricing." Robert Wood Johnson Foundation and Health 2.0. Hospital Price Transparency Challenge. Static visualization 2nd place award. Co-PI, $3,500, 10/1/2013.

"Web-based Image Annotation and Retrieval: Computer-assisted Technologies for Medical Image Segmentation and Pattern Recognition". National Institutes of Health, National Library of Medicine, Sub-award from Lehigh University, PI, $30,000, 10/01/2012 - 8/31/2013.