| FLASH: Fast landmark aligned spherical harmonic parameterization for genus-0 closed brain surfaces PT Choi, KC Lam, LM Lui SIAM Journal on Imaging Sciences 8 (1), 67-94, 2015 | 154 | 2015 |
| Landmark-and intensity-based registration with large deformations via quasi-conformal maps KC Lam, LM Lui SIAM Journal on Imaging Sciences 7 (4), 2364-2392, 2014 | 103 | 2014 |
| Teichmuller mapping (t-map) and its applications to landmark matching registration LM Lui, KC Lam, ST Yau, X Gu SIAM Journal on Imaging Sciences 7 (1), 391-426, 2014 | 93 | 2014 |
| Texture map and video compression using Beltrami representation LM Lui, KC Lam, TW Wong, X Gu SIAM Journal on Imaging Sciences 6 (4), 1880-1902, 2013 | 93 | 2013 |
| Landmark-Matching Transformation with Large Deformation Via n-dimensional Quasi-conformal Maps YT Lee, KC Lam, LM Lui Journal of Scientific Computing 67, 926-954, 2016 | 36 | 2016 |
| Genus-one surface registration via Teichmüller extremal mapping KC Lam, X Gu, LM Lui Medical Image Computing and Computer-Assisted Intervention–MICCAI 2014: 17th …, 2014 | 22 | 2014 |
| Landmark constrained genus-one surface Teichmüller map applied to surface registration in medical imaging KC Lam, X Gu, LM Lui Medical image analysis 25 (1), 45-55, 2015 | 21 | 2015 |
| Computing quasi-conformal folds D Qiu, KC Lam, LM Lui SIAM Journal on Imaging Sciences 12 (3), 1392-1424, 2019 | 16 | 2019 |
| Solving Bayesian inverse problems from the perspective of deep generative networks TY Hou, KC Lam, P Zhang, S Zhang Computational Mechanics 64, 395-408, 2019 | 13 | 2019 |
| An adaptive fast solver for a general class of positive definite matrices via energy decomposition TY Hou, D Huang, KC Lam, P Zhang Multiscale Modeling & Simulation 16 (2), 615-678, 2018 | 13 | 2018 |
| Teichm\" uller extremal mapping and its applications to landmark matching registration LM Lui, KC Lam, ST Yau, X Gu arXiv preprint arXiv:1211.2569, 2012 | 12 | 2012 |
| Optimized quasiconformal parameterization with user-defined area distortions KC Lam, LM Lui Communications in Mathematical Sciences 15 (7), 2027-2054, 2017 | 9 | 2017 |
| Multiscale representation of deformation via beltrami coefficients KC Lam, TC Ng, LM Lui Multiscale Modeling & Simulation 15 (2), 864-891, 2017 | 9 | 2017 |
| Quasi-conformal hybrid multi-modality image registration and its application to medical image fusion KC Lam, LM Lui Advances in Visual Computing: 11th International Symposium, ISVC 2015, Las …, 2015 | 9 | 2015 |
| A fast hierarchically preconditioned eigensolver based on multiresolution matrix decomposition TY Hou, D Huang, KC Lam, Z Zhang Multiscale Modeling & Simulation 17 (1), 260-306, 2019 | 8 | 2019 |
| Improving the interpretability of fMRI decoding using deep neural networks and adversarial robustness P McClure, D Moraczewski, KC Lam, A Thomas, F Pereira arXiv preprint arXiv:2004.11114, 2020 | 6 | 2020 |
| Conformal-based surface morphing and multi-scale representation KC Lam, C Wen, LM Lui Axioms 3 (2), 222-243, 2014 | 6 | 2014 |
| Quasiconformal model with CNN features for large deformation image registration H Law, G Choi, KC Lam, LM Lui arXiv preprint arXiv:2011.00731, 2020 | 5 | 2020 |
| In-Scanner Thoughts shape Resting-state Functional Connectivity: how participants rest matters. J Gonzalez-Castillo, MA Spurney, KC Lam, IS Gephart, F Pereira, ... bioRxiv, 2024.06. 05.596482, 2024 | 3 | 2024 |
| Manifold learning for fMRI time-varying functional connectivity J Gonzalez-Castillo, IS Fernandez, KC Lam, DA Handwerker, F Pereira, ... Frontiers in Human Neuroscience 17, 1134012, 2023 | 3 | 2023 |