- S Kolouri, GK Rohde, H Hoffman, Sliced Wasserstein Distance for Learning Gaussian Mixture Models, to appear, CVPR 2018.
- J. M. Nichols, T. H. Emerson, L. Cattell, S. Park, A. Kanaev, F. Bucholtz, A. Watnik, T. Doster, and G. K. Rohde, Transport-based model for turbulence-corrupted imagery, Applied Optics, 57(16) pp. 4524-4536, 2018.
- S Kolouri, CE Martin, GK Rohde, Sliced-Wasserstein Autoencoder: An Embarrassingly Simple Generative Model, 2018.
- SR Park, L Cattell, JM Nichols, A Watnik, T Doster, GK Rohde, De-multiplexing vortex modes in optical communications using transport-based pattern recognition. Optics express 26(4), pp 4004-4022, 2018.
- L Cattell, GK Rohde, Transport-Based Pattern Theory: A Signal Transformation Approach, 2018.
- S Kundu, S Kolouri, KI Erickson, AF Kramer, E McAuley, GK Rohde, Discovery and visualization of structural biomarkers from MRI using transport-based morphometry, arXiv preprint arXiv:1705.04919, Neuroimage 2018.
- L Cattell, CH Meyer, FH Epstein, GK Rohde, Reconstructing High-Resolution Cardiac MR Movies from Under-Sampled Frames, Asilomar conference on signals, systems, and computers, 2017.
- S Kolouri, SR Park, M Thorpe, D Slepcev, GK Rohde, Optimal mass transport for signal processing and machine learning, IEEE Signal Processing Magazine, 34(4), pp 43-59, 2017.
- JM Nichols, AT Watnik, T Doster, S Park, A Kanaev, L Cattell, GK Rohde, An optimal transport model for imaging in atmospheric turbulence, arXiv preprint arXiv:1705.01050, 2017.
-
SR Park, S Kolouri, S Kundu, GK Rohde, The Cumulative Distribution Transform and Linear Pattern Classification, in press, Applied and Computational Harmonic Anaysis, 2017. arXiv preprint arXiv:1507.05936
-
M Thorpe, SR Park, S Kolouri, GK Rohde, D Slepcev, A Transportation $ L^ p $ Distance for Signal Analysis, arXiv:1609.08669, in Press, JMIV 2017.
-
S Kolouri, Y Zou, GK Rohde, Sliced Wasserstein Kernels for Probability Distributions, arXiv:1511.03198. CVPR 2016.
-
S Kolouri, SR Park, GK Rohde, The Radon cumulative distribution transform and its application to image classification, accepted, IEEE Transactions on Image Processing, 2016. Preprint available at arXiv:1511.03206. Run "main.m" to use the software.
-
S Kolouri, AB Tosun, JA Ozolek, GK Rohde, A Continuous Linear Optimal Transport Approach for Pattern Analysis in Image Datasets, Pattern Recognition, in press, 2016. Run "main.m" to use the software.
-
S Kolouri, GK Rohde, Transport-based single frame super resolution of very low resolution face images. IEEE CVPR 2015, pp 4876-4884.
-
AB Tosun, A Yergiev, S Kolouri, J Silverman, GK Rohde, Detection of malignant mesothelioma using nuclear structure of mesothelial cells in effusion cytology specimens, Cytometry A, 87(4), 326-333, 2015.
-
S. Basu, S. Kolouri, GK Rohde, Detecting and visualizing cell phenotype differences from microscopy images using transport-based morphometry. PNAS 111 (9), 3448-3453, 2014.
-
JA Ozolek, AB Tosun, W Wang, C Chen, S Basu, H Huang, GK Rohde. Accurate diagnosis of thyroid follicular lesions from nuclear morphology using supervised learning. Medical Image Analysis. 18(5), 772-780, 2014.
-
W. Wang, D. SlepĨev, J. A. Ozolek, S. Basu, G. K. Rohde, A linear optimal transportation framework for quantifying and visualizing variations in sets of images. International Journal of Computer Vision, vol. 101(2), pp. 254-269, 2013.
-
W. Wang, J. A. Ozolek, D. Slepcev, A. B. Lee, C. Chen, G. K. Rohde, An optimal transportation approach for nuclear structure-based pathology, IEEE Transactions on Medical Imaging, 30, pp. 621-631, 2011.