Kyung-Ah Sohn

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Namhyuk AhnAssistant Professor, Inha UniversityVerified email at inha.ac.kr
Dokyoon KimAssociate Professor of Informatics at University of PennsylvaniaVerified email at pennmedicine.upenn.edu
So Yeon KimAjou UniversityVerified email at ajou.ac.kr
Eric XingPresident at Mohamed bin Zayed University of AI, Professor of Computer Science, Carnegie Mellon UVerified email at cs.cmu.edu
Garam LeeUniversity of PennsylvaniaVerified email at pennmedicine.upenn.edu
Hyun-Hwan JeongBaylor College of MedicineVerified email at bcm.edu
Jeong-Hyeon MoonPhd StudentVerified email at ajou.ac.kr
Jaesik KimUniversity of PennsylvaniaVerified email at pennmedicine.upenn.edu
Jaejun YooAssistant Professor, Laboratory of Advanced Imaging Technology (LAIT), UNISTVerified email at unist.ac.kr
Dr. Jungryul SeoB2B Advanced Technology Center,LG ElectronicsVerified email at ajou.ac.kr
Marylyn D RitchieUniversity of PennsylvaniaVerified email at upenn.edu
WonSook LeeProfessor, School of EE and CS, University of OttawaVerified email at uottawa.ca
Tae-Sun ChungProfessor of Information & Computer Engineering, Ajou UniversityVerified email at ajou.ac.kr
Michael I. JordanProfessor of Electrical Engineering and Computer Sciences and Professor of Statistics, UC BerkeleyVerified email at cs.berkeley.edu
Yee Whye TehProfessor of Statistical Machine Learning, Oxford, Research Scientist, DeepMindVerified email at stats.ox.ac.uk
Myung-Soo KimProfessor of Computer Science and Engineering, Seoul National UniversityVerified email at snu.ac.kr
Joshua Wing Kei HoAssociate Professor, The University of Hong KongVerified email at hku.hk
Peter J ParkHarvard Medical SchoolVerified email at harvard.edu
Zoubin GhahramaniProfessor, University of Cambridge, and Distinguished Researcher, GoogleVerified email at eng.cam.ac.uk

Kyung-Ah Sohn

Professor, Ajou University

Verified email at ajou.ac.kr - Homepage

Machine learning Biomedical informatics


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Fast, Accurate, and, Lightweight Super-Resolution with Cascading Residual Network N Ahn, B Kang, KA Sohn European Conference on Computer Vision, 2018	1534	2018
Predicting Alzheimer’s disease progression using multi-modal deep learning approach G Lee, K Nho, B Kang, KA Sohn, D Kim Scientific reports 9 (1), 1952, 2019	467	2019
Comparative analysis of metazoan chromatin organization JWK Ho, YL Jung, T Liu, BH Alver, S Lee, K Ikegami, KA Sohn, A Minoda, ... Nature 512 (7515), 449-452, 2014	429	2014
A multivariate regression approach to association analysis of a quantitative trait network S Kim, KA Sohn, EP Xing Bioinformatics 25 (12), i204-i212, 2009	221	2009
Ntire 2020 challenge on real-world image super-resolution: Methods and results A Lugmayr, M Danelljan, R Timofte Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2020	204	2020
Rethinking data augmentation for image super-resolution: A comprehensive analysis and a new strategy J Yoo, N Ahn, KA Sohn Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2020	193	2020
Biological brain age prediction using cortical thickness data: a large scale cohort study HM Aycheh, JK Seong, JH Shin, DL Na, B Kang, SW Seo, KA Sohn Frontiers in aging neuroscience 10, 252, 2018	126	2018
Knowledge boosting: a graph-based integration approach with multi-omics data and genomic knowledge for cancer clinical outcome prediction D Kim, JG Joung, KA Sohn, H Shin, YR Park, MD Ritchie, JH Kim Journal of the American Medical Informatics Association 22 (1), 109-120, 2015	116	2015
Joint estimation of structured sparsity and output structure in multiple-output regression via inverse-covariance regularization KA Sohn, S Kim Artificial Intelligence and Statistics, 1081-1089, 2012	108	2012
Enhancing the performance of convolutional neural networks on quality degraded datasets J Yim, KA Sohn 2017 International Conference on Digital Image Computing: Techniques and …, 2017	83	2017
Method and apparatus for detecting people using stereo camera G Park, K Sohn US Patent App. 11/068,915, 2005	80	2005
Image super-resolution via progressive cascading residual network N Ahn, B Kang, KA Sohn IEEE Conference on Computer Vision and Pattern Recognition Workshops (NTIRE), 2018	75	2018
Identification of epigenetic interactions between miRNA and DNA methylation associated with gene expression as potential prognostic markers in bladder cancer M Shivakumar, Y Lee, L Bang, T Garg, KA Sohn, D Kim BMC medical genomics 10, 65-75, 2017	71	2017
Fast detection of high-order epistatic interactions in genome-wide association studies using information theoretic measure S Leem, H Jeong, J Lee, K Wee, KA Sohn Computational biology and chemistry 50, 19-28, 2014	62	2014
MildInt: deep learning-based multimodal longitudinal data integration framework G Lee, B Kang, K Nho, KA Sohn, D Kim Frontiers in genetics 10, 617, 2019	58	2019
Bayesian multi-population haplotype inference via a hierarchical Dirichlet process mixture EP Xing, KA Sohn, MI Jordan, YW Teh Proceedings of the 23rd international conference on Machine learning, 1049-1056, 2006	53	2006
Robust pathway-based multi-omics data integration using directed random walks for survival prediction in multiple cancer studies SY Kim, HH Jeong, J Kim, JH Moon, KA Sohn Biology direct 14, 1-13, 2019	51	2019
Computing distances between surfaces using line geometry KA Sohn, B Juttler, MS Kim, W Wang 10th Pacific Conference on Computer Graphics and Applications, 2002 …, 2002	51	2002
hiHMM: Bayesian non-parametric joint inference of chromatin state maps KA Sohn, JWK Ho, D Djordjevic, H Jeong, PJ Park, JH Kim Bioinformatics 31 (13), 2066-2074, 2015	50	2015
Machine learning approaches for boredom classification using EEG J Seo, TH Laine, KA Sohn Journal of Ambient Intelligence and Humanized Computing 10, 3831-3846, 2019	44	2019

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