| 2013-09 | A collaborative digital pathology system for multi-touch mobile and desktop computing platforms | Jeong, Won-Ki; Schneider, J.; Hansen, A.; Lee, M.; Turney, S.G.; Faulkner-Jones, B.E.; Hecht, J.L.; Najarian, R.; Yee, E.; Lichtman, J.W.; Pfister, H. | ARTICLE | 768 |
| 2016-11 | A Fast Discrete Wavelet Transform Using Hybrid Parallelism on GPUs | Tran Minh Quan; Jeong, Won-Ki | ARTICLE | 586 |
| 2008 | A FAST ITERATIVE METHOD FOR EIKONAL EQUATIONS | Jeong, Won-Ki; Whitaker, Ross T. | ARTICLE | 704 |
| 2011-09 | A FAST ITERATIVE METHOD FOR SOLVING THE EIKONAL EQUATION ON TRIANGULATED SURFACES | Fu, Zhisong; Jeong, Won-Ki; Pan, Yongsheng; Kirby, Robert M.; Whitaker, Ross T. | ARTICLE | 918 |
| 2014-10-28 | A fast Mixed-Band lifting wavelet transform on the GPU | Jeong, Won-Ki; Quna, Tran, Minh | CONFERENCE | 98 |
| 2017-02 | A Group-Ordered Fast Iterative Method for Eikonal Equations | Hong, Sumin; Jeong, Won-Ki | ARTICLE | 798 |
| 2016-06-07 | A Multi-GPU Fast Iterative Method for Eikonal Equations using On-the-fly Adaptive Domain Decomposition | Hong, Sumin; Jeong, Won-Ki | CONFERENCE | 102 |
| 2007-07-03 | A Volumetric Approach to Quantifying Region-to-Region White Matter Connectivity in Diffusion Tensor MRI | Fletcher, P. Thomas; Tao, Ran; Jeong, Won-Ki; Whitaker, Ross T | CONFERENCE | 83 |
| 2018-01 | An Intelligent System Approach for Probabilistic Volume Rendering Using Hierarchical 3D Convolutional Sparse Coding | Quan, Tran Minh; Choi, Junyoung; Jeong, Haejin; Jeong, Won-Ki | ARTICLE | 663 |
| 2009-06-06 | Anisotropic geodesic distance computation for parametric surfaces | Jeong, Won-Ki; Seong, Joon-Kyung; Cohen, Elaine | CONFERENCE | 88 |
| 2002-05-27 | Automatic generation of subdivision surface head models from point cloud data | Jeong, Won-Ki; Kähler, K.; Haber, J.; Seidel, H.-P. | CONFERENCE | 82 |
| 2016-10-20 | Compressed Sensing Dynamic MRI Reconstruction using GPU-accelerated 3D Convolutional Sparse Coding | Quan, Tran Minh; Jeong, Won-Ki | CONFERENCE | 97 |
| 2018-04-05 | Compressed sensing dynamic MRI reconstruction using multi-scale 3D convolutional sparse coding with elastic net regularization | Thanh, Nguyen-Duc; Jeong, Won-Ki | CONFERENCE | 127 |
| 2018-06 | Compressed Sensing MRI Reconstruction Using a Generative Adversarial Network With a Cyclic Loss | Tran Minh Quan; Thanh Nguyen-Duc; Jeong, Won-Ki | ARTICLE | 463 |
| 2018-06-18 | Compressed Sensing MRI Reconstruction using Generative Adversarial Networks with Cyclic Loss | Quan, Tran Minh; Thanh, Nguyen-Duc; Jeong, Won-Ki | CONFERENCE | 73 |
| 2016-04-13 | Compressed sensing reconstruction of dynamic contrast enhanced MRI using GPU-accelerated convolutional sparse coding | Quan, TM; Jeong, Won-Ki | CONFERENCE | 108 |
| 2019-11 | CPEM: Accurate cancer type classification based on somatic alterations using an ensemble of a random forest and a deep neural network | Lee, Kanggeun; Jeong, Hyoung-oh; Lee, Semin; Jeong, Won-Ki | ARTICLE | 356 |
| 2009-08 | Curvature-based anisotropic geodesic distance computation for parametric and implicit surfaces | Seong, Joon-Kyung; Jeong, Won-Ki; Cohen, Elaine | ARTICLE | 755 |
| 2018-09-16 | DeepHCS: Bright-field to fluorescence microscopy image conversion using deep learning for label-free high-content screening | Lee, Gyuhyun; Oh, Jeong-Woo; Kang, Mi-Sun; Her, Nam-Gu; Kim, Myoung-Hee; Jeong, Won-Ki | CONFERENCE | 194 |
| 2018-02 | Deformable Image Registration Using Convolutional Neural Networks for Connectomics | Jeong, Won-Ki; Yoo, In-Wan | Master's thesis | 593 |
