De-multiplexing vortex modes in optical communications using transport-based pattern recognition SR Park, L Cattell, JM Nichols, A Watnik, T Doster, GK Rohde Optics Express 26 (4), 4004-4022, 2018 | 76 | 2018 |
Classification of amyloid status using machine learning with histograms of oriented 3D gradients L Cattell, G Platsch, R Pfeiffer, J Declerck, JA Schnabel, C Hutton, ... NeuroImage: Clinical 12, 990-1003, 2016 | 24 | 2016 |
Transport-based model for turbulence-corrupted imagery JM Nichols, TH Emerson, L Cattell, S Park, A Kanaev, F Bucholtz, ... Applied optics 57 (16), 4524-4536, 2018 | 17 | 2018 |
An optimal transport model for imaging in atmospheric turbulence JM Nichols, AT Watnik, T Doster, S Park, A Kanaev, L Cattell, GK Rohde arXiv preprint arXiv:1705.01050, 2017 | 11 | 2017 |
Combined PET-MR brain registration to discriminate between Alzheimer’s disease and healthy controls L Cattell, JA Schnabel, J Declerck, C Hutton International Workshop on Biomedical Image Registration, 134-143, 2014 | 8 | 2014 |
Reconstructing high-resolution cardiac MR movies from under-sampled frames L Cattell, CH Meyer, FH Epstein, GK Rohde 2017 51st Asilomar Conference on Signals, Systems, and Computers, 1255-1259, 2017 | 3 | 2017 |
Training classifiers with limited data using the Radon cumulative distribution transform CE Fitzgerald, L Cattell, GK Rohde Medical Imaging 2018: Image Processing 10574, 713-719, 2018 | 2 | 2018 |
Investigation of Single-Versus Joint-Modality PET-MR Registration for 18F-Florbetapir Quantification: Application to Alzheimer’s Disease L Cattell, JA Schnabel, J Declerck, C Hutton Computational Methods for Molecular Imaging, 197-205, 2015 | 1 | 2015 |
Transport-Based Pattern Theory: A Signal Transformation Approach L Cattell, GK Rohde arXiv preprint arXiv:1802.07163, 2018 | | 2018 |
Registration and machine learning methods for brain imaging of Alzheimer's disease L Cattell University of Oxford, 2016 | | 2016 |