| 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 | 345 | 2018 |
| MRI-based nonrigid motion correction in simultaneous PET/MRI SY Chun, TG Reese, J Ouyang, B Guerin, C Catana, X Zhu, NM Alpert, ... Journal of Nuclear Medicine 53 (8), 1284-1291, 2012 | 199 | 2012 |
| Multi-Temporal Recurrent Neural Networks For Progressive Non-Uniform Single Image Deblurring With Incremental Temporal Training D Park, DU Kang, J Kim, SY Chun European Conference on Computer Vision, 327-343, 2020 | 183 | 2020 |
| 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 | 178 | 2020 |
| Training Deep Learning Based Denoisers without Ground Truth Data S Soltanayev, SY Chun Advances in neural information processing systems 31, 3261-3271, 2018 | 135 | 2018 |
| Task-aware variational adversarial active learning K Kim, D Park, KI Kim, SY Chun Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2021 | 134 | 2021 |
| Nonrigid PET motion compensation in the lower abdomen using simultaneous tagged‐MRI and PET imaging B Guérin, S Cho, SY Chun, X Zhu, NM Alpert, G El Fakhri, T Reese, ... Medical physics 38 (6Part1), 3025-3038, 2011 | 121 | 2011 |
| Ntire 2019 challenge on real image super-resolution: Methods and results J Cai, S Gu, R Timofte, L Zhang Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2019 | 120 | 2019 |
| Ntire 2019 challenge on real image denoising: Methods and results A Abdelhamed, R Timofte, MS Brown Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2019 | 95 | 2019 |
| A simple regularizer for B-spline nonrigid image registration that encourages local invertibility SY Chun, JA Fessler IEEE journal of selected topics in signal processing 3 (1), 159-169, 2009 | 92 | 2009 |
| Cardiac motion compensation and resolution modeling in simultaneous PET-MR: a cardiac lesion detection study Y Petibon, J Ouyang, X Zhu, C Huang, TG Reese, SY Chun, Q Li, ... Physics in Medicine & Biology 58 (7), 2085, 2013 | 88 | 2013 |
| PAIP 2019: Liver cancer segmentation challenge YJ Kim, H Jang, K Lee, S Park, SG Min, C Hong, JH Park, K Lee, J Kim, ... Medical Image Analysis 67, 101854, 2021 | 85 | 2021 |
| Improved quantitative 90Y bremsstrahlung SPECT/CT reconstruction with Monte Carlo scatter modeling YK Dewaraja, SY Chun, RN Srinivasa, RK Kaza, KC Cuneo, ... Medical physics 44 (12), 6364-6376, 2017 | 68 | 2017 |
| Ntire 2019 image dehazing challenge report CO Ancuti, C Ancuti, R Timofte, L Van Gool, L Zhang, MH Yang Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2019 | 65 | 2019 |
| Training deep learning based image denoisers from undersampled measurements without ground truth and without image prior M Zhussip, S Soltanayev, SY Chun Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2019 | 59 | 2019 |
| Correction for collimator-detector response in SPECT using point spread function template SY Chun, JA Fessler, YK Dewaraja IEEE transactions on medical imaging 32 (2), 295-305, 2012 | 57 | 2012 |
| Bounded self-weights estimation method for non-local means image denoising using minimax estimators MP Nguyen, SY Chun IEEE Transactions on Image Processing 26 (4), 1637-1649, 2017 | 53 | 2017 |
| Bias atlases for segmentation-based PET attenuation correction using PET-CT and MR J Ouyang, SY Chun, Y Petibon, AA Bonab, N Alpert, G El Fakhri IEEE transactions on nuclear science 60 (5), 3373-3382, 2013 | 52 | 2013 |
| Extending Stein's unbiased risk estimator to train deep denoisers with correlated pairs of noisy images M Zhussip, S Soltanayev, SY Chun Advances in neural information processing systems 32, 1465-1475, 2019 | 45 | 2019 |
| Specific visualization of neuromelanin-iron complex and ferric iron in the human post-mortem substantia nigra using MR relaxometry at 7T H Lee, SY Baek, SY Chun, JH Lee, HJ Cho Neuroimage 172, 874-885, 2018 | 45 | 2018 |
