| Fast, Accurate, and, Lightweight Super-Resolution with Cascading Residual Network N Ahn, B Kang, KA Sohn European Conference on Computer Vision, 2018 | 1868 | 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 | 559 | 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 | 454 | 2014 |
| Ntire 2018 challenge on single image super-resolution: Methods and results R Timofte, S Gu, J Wu, L Van Gool Proceedings of the IEEE conference on computer vision and pattern …, 2018 | 432 | 2018 |
| 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 | 231 | 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 | 231 | 2020 |
| A multivariate regression approach to association analysis of a quantitative trait network S Kim, KA Sohn, EP Xing Bioinformatics 25 (12), i204-i212, 2009 | 230 | 2009 |
| 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 | 139 | 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 | 122 | 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 | 115 | 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 | 99 | 2017 |
| Deep multi-modal network based automated depression severity estimation MA Uddin, JB Joolee, KA Sohn IEEE transactions on affective computing 14 (3), 2153-2167, 2022 | 89 | 2022 |
| Method and apparatus for detecting people using stereo camera G Park, K Sohn US Patent App. 11/068,915, 2005 | 85 | 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 | 80 | 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 (Suppl 1), 30, 2017 | 71 | 2017 |
| 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 | 66 | 2019 |
| 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 | 64 | 2014 |
| 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 | 57 | 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), 8, 2019 | 56 | 2019 |
| 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 | 55 | 2015 |
Namhyuk AhnAssistant Professor, Inha UniversityVerified email at inha.ac.kr
