| Preconditioned total field inversion (TFI) method for quantitative susceptibility mapping Z Liu, Y Kee, D Zhou, Y Wang, P Spincemaille Magnetic resonance in medicine 78 (1), 303-315, 2017 | 176 | 2017 |
| Cerebral metabolic rate of oxygen (CMRO2) mapping by combining quantitative susceptibility mapping (QSM) and quantitative blood oxygenation level‐dependent … J Cho, Y Kee, P Spincemaille, TD Nguyen, J Zhang, A Gupta, S Zhang, ... Magnetic resonance in medicine 80 (4), 1595-1604, 2018 | 96 | 2018 |
| Quantitative susceptibility mapping (QSM) algorithms: mathematical rationale and computational implementations Y Kee, Z Liu, L Zhou, A Dimov, J Cho, L De Rochefort, JK Seo, Y Wang IEEE Transactions on Biomedical Engineering 64 (11), 2531-2545, 2017 | 87 | 2017 |
| Cluster analysis of time evolution (CAT) for quantitative susceptibility mapping (QSM) and quantitative blood oxygen level‐dependent magnitude (qBOLD)‐based oxygen extraction … J Cho, S Zhang, Y Kee, P Spincemaille, TD Nguyen, S Hubertus, A Gupta, ... Magnetic resonance in medicine 83 (3), 844-857, 2020 | 53 | 2020 |
| Cardiac quantitative susceptibility mapping (QSM) for heart chamber oxygenation Y Wen, TD Nguyen, Z Liu, P Spincemaille, D Zhou, A Dimov, Y Kee, ... Magnetic resonance in medicine 79 (3), 1545-1552, 2018 | 48 | 2018 |
| System and method of robust quantitative susceptibility mapping Y Wang, Z Liu, Y Kee, A Dimov, Y Wen, J Zhang, P Spincemaille US Patent 10,890,641, 2021 | 45 | 2021 |
| Towards Flatter Loss Surface via Nonmonotonic Learning Rate Scheduling. S Seong, Y Lee, Y Kee, D Han, J Kim UAI, 1020-1030, 2018 | 41 | 2018 |
| Adaptive comb filtering for motion artifact reduction from PPG with a structure of adaptive lattice IIR notch filter B Lee, Y Kee, J Han, WJ Yi 2011 Annual International Conference of the IEEE Engineering in Medicine and …, 2011 | 34 | 2011 |
| Free‐breathing R2* mapping of hepatic iron overload in children using 3D multi‐echo UTE cones MRI Y Kee, CM Sandino, AB Syed, JY Cheng, A Shimakawa, TJ Colgan, ... Magnetic Resonance in Medicine, 2021 | 21 | 2021 |
| Primal‐dual and forward gradient implementation for quantitative susceptibility mapping Y Kee, K Deh, A Dimov, P Spincemaille, Y Wang Magnetic resonance in medicine 78 (6), 2416-2427, 2017 | 11 | 2017 |
| Free‐breathing high isotropic resolution quantitative susceptibility mapping (QSM) of liver using 3D multi‐echo UTE cones acquisition and respiratory motion‐resolved image … MS Kang, GG Behr, R Jafari, M Gambarin, R Otazo, Y Kee Magnetic Resonance in Medicine 90 (5), 1844-1858, 2023 | 8* | 2023 |
| A Convex Relaxation of the Ambrosio--Tortorelli Elliptic Functionals for the Mumford-Shah Functional Y Kee, J Kim Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2014 | 8 | 2014 |
| Dipole incompatibility related artifacts in quantitative susceptibility mapping L Zhou, JK Choi, Y Kee, Y Wang, JK Seo arXiv preprint arXiv:1701.05457, 2017 | 7 | 2017 |
| Entropy minimization for convex relaxation approaches M Souiai, MR Oswald, Y Kee, J Kim, M Pollefeys, D Cremers Proceedings of the IEEE International Conference on Computer Vision, 1778-1786, 2015 | 7 | 2015 |
| Sequential convex relaxation for mutual information-based unsupervised figure-ground segmentation Y Kee, M Souiai, D Cremers, J Kim Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2014 | 7 | 2014 |
| Coherence enhancement in quantitative susceptibility mapping by means of anisotropic weighting in morphology enabled dipole inversion Y Kee, J Cho, K Deh, Z Liu, P Spincemaille, Y Wang Magnetic Resonance in Medicine 79 (2), 1172-1180, 2018 | 6 | 2018 |
| Accelerated Diffusion-Weighted MRI of Rectal Cancer Using a Residual Convolutional Network M Mohammadi, EA Kaye, O Alus, Y Kee, JS Golia Pernicka, M El Homsi, ... Bioengineering 10 (3), 359, 2023 | 5 | 2023 |
| Sound analysis in an in vitro endotracheal tube model YS Park, YW Kee, KS Park, J Lee, SM Lee, JJ Yim, CG Yoo, YW Kim, ... The Korean journal of Internal medicine 26 (4), 421, 2011 | 5 | 2011 |
| Quantitative parametric mapping of tissues properties from standard magnetic resonance imaging enabled by deep learning Y Wu, Y Ma, Y Kee, N Kovalchuk, D Capaldi, H Ren, S Hancock, E Chang, ... arXiv preprint arXiv:2108.04912, 2021 | 4 | 2021 |
| Dipole modeling of multispectral signal for detecting metallic biopsy markers during MRI‐guided breast biopsy: a pilot study S Eskreis‐Winkler, K Simon, M Reichman, P Spincemaille, T Nguyen, ... Magnetic resonance in medicine 83 (4), 1380-1389, 2020 | 3* | 2020 |