Ntire 2017 challenge on single image super-resolution: Methods and results R Timofte, E Agustsson, L Van Gool, MH Yang, L Zhang Proceedings of the IEEE conference on computer vision and pattern …, 2017 | 1700 | 2017 |
NIRS-SPM: statistical parametric mapping for near-infrared spectroscopy JC Ye, S Tak, KE Jang, J Jung, J Jang Neuroimage 44 (2), 428-447, 2009 | 1142 | 2009 |
A deep convolutional neural network using directional wavelets for low‐dose X‐ray CT reconstruction E Kang, J Min, JC Ye Medical physics 44 (10), e360-e375, 2017 | 900 | 2017 |
Deep learning COVID-19 features on CXR using limited training data sets Y Oh, S Park, JC Ye IEEE transactions on medical imaging 39 (8), 2688-2700, 2020 | 893 | 2020 |
k‐t FOCUSS: a general compressed sensing framework for high resolution dynamic MRI H Jung, K Sung, KS Nayak, EY Kim, JC Ye Magnetic Resonance in Medicine: An Official Journal of the International …, 2009 | 846 | 2009 |
Geometric gan JH Lim, JC Ye arXiv preprint arXiv:1705.02894, 2017 | 609 | 2017 |
Framing U-Net via deep convolutional framelets: Application to sparse-view CT Y Han, JC Ye IEEE transactions on medical imaging 37 (6), 1418-1429, 2018 | 599 | 2018 |
Diffusionclip: Text-guided diffusion models for robust image manipulation G Kim, T Kwon, JC Ye Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022 | 511* | 2022 |
Image reconstruction is a new frontier of machine learning G Wang, JC Ye, K Mueller, JA Fessler IEEE transactions on medical imaging 37 (6), 1289-1296, 2018 | 481 | 2018 |
Statistical analysis of fNIRS data: a comprehensive review S Tak, JC Ye Neuroimage 85, 72-91, 2014 | 453 | 2014 |
Deep learning for tomographic image reconstruction G Wang, JC Ye, B De Man Nature machine intelligence 2 (12), 737-748, 2020 | 406 | 2020 |
Deep convolutional framelets: A general deep learning framework for inverse problems JC Ye, Y Han, E Cha SIAM Journal on Imaging Sciences 11 (2), 991-1048, 2018 | 382 | 2018 |
Deep residual learning for accelerated MRI using magnitude and phase networks D Lee, J Yoo, S Tak, JC Ye IEEE Transactions on Biomedical Engineering 65 (9), 1985-1995, 2018 | 343 | 2018 |
Deep learning with domain adaptation for accelerated projection‐reconstruction MR Y Han, J Yoo, HH Kim, HJ Shin, K Sung, JC Ye Magnetic resonance in medicine 80 (3), 1189-1205, 2018 | 338 | 2018 |
Improved k–t BLAST and k–t SENSE using FOCUSS H Jung, JC Ye, EY Kim Physics in Medicine & Biology 52 (11), 3201, 2007 | 335 | 2007 |
Compressive MUSIC: Revisiting the link between compressive sensing and array signal processing JM Kim, OK Lee, JC Ye IEEE Transactions on Information Theory 58 (1), 278-301, 2012 | 327 | 2012 |
Diffusion posterior sampling for general noisy inverse problems H Chung, J Kim, MT Mccann, ML Klasky, JC Ye arXiv preprint arXiv:2209.14687, 2022 | 326 | 2022 |
-Space Deep Learning for Accelerated MRI Y Han, L Sunwoo, JC Ye IEEE transactions on medical imaging 39 (2), 377-386, 2019 | 323 | 2019 |
Deep convolutional framelet denosing for low-dose ct via wavelet residual network E Kang, W Chang, J Yoo, JC Ye IEEE transactions on medical imaging 37 (6), 1358-1369, 2018 | 322 | 2018 |
A general framework for compressed sensing and parallel MRI using annihilating filter based low-rank Hankel matrix KH Jin, D Lee, JC Ye IEEE Transactions on Computational Imaging 2 (4), 480-495, 2016 | 284 | 2016 |