Kanghan Oh, Il-Seok Oh,Van Nhat Thang Le, Dae-Woo Lee “Deep Anatomical Context Feature Learning for Cephalometric Landmark Detection”, IEEE Journal of Biomedical and Health Informatics, 2020, DOI: 10.1109/JBHI.2020.3002582.
Kanghan Oh, Sungchan Kim, Il-Seok Oh “Salient Explanation for Fine-Grained Classification”, IEEE ACCESS 8, Mar. 2020, DOI: 10.1109/ACCESS.2020.2980742.
Dasom Seo, Kanghan Oh, Il-Seok Oh “Regional Multi-scale Approach for Visually Pleasing Explanations of Deep Neural Networks” IEEE ACCESS 8, Dec 30. 2019. doi:10.1109/ACCESS.2019.2963055
Kanghan Oh, Woosung Kim, Young Chul Chung, Ko-Woon Kim, Il-Seok Oh “Classification and Visualization of Alzheimer’s Disease using Volumetric Convolutional Neural Network and Transfer Learning”, Scientific Reports 9, 18150, Dec. 2019, doi:10.1038/s41598-019-54548-6
Kanghan Oh, Woosung Kim, Guangfan Shen, Yanhong Piao, Nam-In Kang, Il-Seok Oh, Young Chul Chung, “Classification of schizophrenia and normal controls using 3D convolutional neural network and outcome visualization”, Schizophrenia Research, Vol. 212, pp. 186-195, Oct. 2019
Kang-Han Oh and Il-Seok Oh. "Visual saliency detection using iterative outlier cluster elimination." Multidimensional Systems and Signal Processing : pp. 1-17. 2018
Sunghyon Kim and Il-seok Oh. "Automatic Defect Detection from SEM Images of Wafers using Component Tree." JOURNAL OF SEMICONDUCTOR TECHNOLOGY AND SCIENCE 17.1 pp. 86-93. 2017
Sunghyon Kim and Il-seok Oh "Component tree and multi-layer perceptron techniques for nanoparticle image segmentation and classification", New Physics: Sae Mulli, pp. 64-69 2017
Il-Seok Oh, Jinseon Lee and Aditi Majumder. "Multi-scale image segmentation using MSER." International Conference on Computer Analysis of Images and Patterns. Springer, Berlin, Heidelberg, 2013.
Young-Won Kim and Il-Seok Oh, "Coarse-to-fine classifier ensenble selection using clustering and genetic algorithms," International Journal of Pattern Recognition and Artificial Intelligence, Vol.23, No.6, pp.1083-1106, June 2009.
Young-Won Kim and Il-Seok Oh, "Classifier ensemble selection using hybrid genetic algorithms," Pattern Recognition Letters, Vol.29, No.6, pp.796-802, January 2008.
Il-Seok Oh, Jin-Seon Lee, and Byung-Ro Moon, "Hybrid genetic algorithms for feature selection," IEEE Tr. Pattern Analysis and Machine Intelligence, Vol.26, No.11, pp.1424-1437, 2004.
Jeong-Sun Park, Ki-Cheon Hong, and Il-Seok Oh, "Shape decomposition and stroke extraction of handwritten korean characters," International Journal on Computer Processing of Oriental Languages, Vol.15, No.3, pp.469-492, 2002.
Il-Seok Oh and Ching Y. Suen, "A class-modular feedforward neural network for handwriting recognition," Pattern Recognition, Vol.1, No.35, pp.229-244, 2002.
Soon-Man Choi and Il-Seok Oh, "A segmentation-free recognition of handwritten touching numeral pairs using neural network," International Journal of Pattern Recognition and Artificial Intelligence, Vol.6, No.15, pp.949-966, 2001.
Il-Seok Oh, Jin-Seon Lee, and Ching Y. Suen, "Analysis of class separation and combination of class-dependent features for handwriting recognition," IEEE Tr. on PAMI, Vol.21, No.10, pp.1089-1094, October 1999.
Tae-Woong Yoo and Il-Seok Oh, "A fast algorithm for tracking human faces based on chromatic histograms," Pattern Recognition Letters, No.20, pp.967-978, 1999.
Il-Seok Oh and Ching Y. Suen, "Distance features for neural network-based recognition of hand written characters", International Journal on Document Analysis and Recognition, Vol.1, No.2, pp.73-88, 1998.
Il-Seok Oh, "Document image binarization preserving stroke connectivity", Pattern Recognition Letters, Vol.33, No.3, pp.743-748, 1995.
Il-Seok Oh, "Segmentation of cylindrical parts stored in a bin", The Euromicro Journal, Vol.33, No.3, pp.289-298, 1992.