Optimal real-time Q-ball imaging using regularized Kalman filtering with incremental orientation sets R Deriche, J Calder, M Descoteaux Medical image analysis 13 (4), 564-579, 2009 | 57 | 2009 |
Multicriteria similarity-based anomaly detection using Pareto depth analysis KJ Hsiao, KS Xu, J Calder, AO Hero IEEE transactions on neural networks and learning systems 27 (6), 1307-1321, 2015 | 51* | 2015 |
Lipschitz regularized deep neural networks converge and generalize AM Oberman, J Calder arXiv preprint arXiv:1808.09540, 2018 | 40* | 2018 |
Image sharpening via Sobolev gradient flows J Calder, A Mansouri, A Yezzi SIAM Journal on Imaging Sciences 3 (4), 981-1014, 2010 | 32 | 2010 |
Consistency of Lipschitz learning with infinite unlabeled data and finite labeled data J Calder SIAM Journal on Mathematics of Data Science 1 (4), 780-812, 2019 | 29 | 2019 |
The game theoretic p-Laplacian and semi-supervised learning with few labels J Calder Nonlinearity 32 (1), 301, 2018 | 28 | 2018 |
Pareto-depth for multiple-query image retrieval KJ Hsiao, J Calder, AO Hero IEEE Transactions on Image processing 24 (2), 583-594, 2014 | 27 | 2014 |
A variational approach to bone segmentation in CT images J Calder, AM Tahmasebi, AR Mansouri SPIE Medical Imaging, 79620B-15, 2011 | 27 | 2011 |
A Hamilton--Jacobi Equation for the Continuum Limit of Nondominated Sorting J Calder, S Esedoglu, AO Hero SIAM Journal on Mathematical Analysis 46 (1), 603-638, 2014 | 25 | 2014 |
Properly-weighted graph Laplacian for semi-supervised learning J Calder, D Slepčev Applied Mathematics & Optimization, 1-49, 2019 | 23 | 2019 |
A PDE-based approach to nondominated sorting J Calder, S Esedoglu, AO Hero SIAM Journal on Numerical Analysis 53 (1), 82-104, 2015 | 18 | 2015 |
Improved spectral convergence rates for graph Laplacians on epsilon-graphs and k-NN graphs J Calder, NG Trillos arXiv preprint arXiv:1910.13476, 2019 | 16 | 2019 |
Directed last passage percolation with discontinuous weights J Calder Journal of Statistical Physics 158 (4), 903-949, 2015 | 16 | 2015 |
The limit shape of convex hull peeling J Calder, CK Smart Duke Mathematical Journal 169 (11), 2079-2124, 2020 | 13* | 2020 |
Robust variational segmentation of 3D bone CT data with thin cartilage interfaces T Gangwar, J Calder, T Takahashi, JE Bechtold, D Schillinger Medical image analysis 47, 95-110, 2018 | 11 | 2018 |
New possibilities in image diffusion and sharpening via high-order Sobolev gradient flows J Calder, A Mansouri, A Yezzi Journal of Mathematical Imaging and Vision 40 (3), 248-258, 2011 | 10 | 2011 |
Rates of convergence for Laplacian semi-supervised learning with low labeling rates J Calder, D Slepčev, M Thorpe arXiv preprint arXiv:2006.02765, 2020 | 9 | 2020 |
Algorithms for -based semi-supervised learning on graphs MF Rios, J Calder, G Lerman arXiv preprint arXiv:1901.05031, 2019 | 9* | 2019 |
Anisotropic image sharpening via well-posed Sobolev gradient flows J Calder, A Mansouri SIAM journal on mathematical analysis 43 (4), 1536-1556, 2011 | 8 | 2011 |
Lecture notes on viscosity solutions J Calder Lecture notes, 2018 | 7* | 2018 |