| New modeling and experimental framework to characterize hindered and restricted water diffusion in brain white matter Y Assaf, RZ Freidlin, GK Rohde, PJ Basser Magnetic Resonance in Medicine: An Official Journal of the International …, 2004 | 690 | 2004 |
| Comprehensive approach for correction of motion and distortion in diffusion‐weighted MRI GK Rohde, AS Barnett, PJ Basser, S Marenco, C Pierpaoli Magnetic Resonance in Medicine: An Official Journal of the International …, 2004 | 637 | 2004 |
| The NIH MRI study of normal brain development AC Evans Neuroimage 30 (1), 184-202, 2006 | 616 | 2006 |
| Optimal mass transport: Signal processing and machine-learning applications S Kolouri, SR Park, M Thorpe, D Slepcev, GK Rohde IEEE signal processing magazine 34 (4), 43-59, 2017 | 563 | 2017 |
| The adaptive bases algorithm for intensity-based nonrigid image registration GK Rohde, A Aldroubi, BM Dawant IEEE transactions on medical imaging 22 (11), 1470-1479, 2003 | 559 | 2003 |
| TORTOISE: an integrated software package for processing of diffusion MRI data C Pierpaoli, L Walker, MO Irfanoglu, A Barnett, P Basser, LC Chang, ... ISMRM 18th annual meeting 1597, 2010 | 411 | 2010 |
| Generalized sliced wasserstein distances S Kolouri, K Nadjahi, U Simsekli, R Badeau, G Rohde Advances in neural information processing systems 32, 2019 | 349 | 2019 |
| The NIH MRI study of normal brain development: Performance of a population based sample of healthy children aged 6 to 18 years on a neuropsychological battery DP Waber, C De Moor, PW Forbes, CR Almli, KN Botteron, G Leonard, ... Journal of the International Neuropsychological Society 13 (5), 729-746, 2007 | 322 | 2007 |
| A linear optimal transportation framework for quantifying and visualizing variations in sets of images W Wang, D Slepčev, S Basu, JA Ozolek, GK Rohde International journal of computer vision 101, 254-269, 2013 | 241 | 2013 |
| The NIH MRI study of normal brain development (Objective-2): Newborns, infants, toddlers, and preschoolers CR Almli, MJ Rivkin, RC McKinstry Neuroimage 35 (1), 308-325, 2007 | 233 | 2007 |
| Sliced Wasserstein auto-encoders S Kolouri, PE Pope, CE Martin, GK Rohde International Conference on Learning Representations, 2018 | 213 | 2018 |
| Sliced Wasserstein kernels for probability distributions S Kolouri, Y Zou, GK Rohde Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2016 | 210 | 2016 |
| Sliced wasserstein distance for learning gaussian mixture models S Kolouri, GK Rohde, H Hoffmann Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2018 | 168 | 2018 |
| An in-depth survey of underwater image enhancement and restoration M Yang, J Hu, C Li, G Rohde, Y Du, K Hu IEEE access 7, 123638-123657, 2019 | 164 | 2019 |
| Robust efficient estimation of heart rate pulse from video S Xu, L Sun, GK Rohde Biomedical optics express 5 (4), 1124-1135, 2014 | 129 | 2014 |
| Transport-based single frame super resolution of very low resolution face images S Kolouri, GK Rohde Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2015 | 116 | 2015 |
| Detection and classification of thyroid follicular lesions based on nuclear structure from histopathology images W Wang, JA Ozolek, GK Rohde Cytometry Part A: The Journal of the International Society for Advancement …, 2010 | 116 | 2010 |
| Deformation‐based nuclear morphometry: Capturing nuclear shape variation in HeLa cells GK Rohde, AJS Ribeiro, KN Dahl, RF Murphy Cytometry Part A: The Journal of the International Society for Analytical …, 2008 | 110 | 2008 |
| The radon cumulative distribution transform and its application to image classification S Kolouri, SR Park, GK Rohde IEEE transactions on image processing 25 (2), 920-934, 2015 | 104 | 2015 |
| Wasserstein embedding for graph learning S Kolouri, N Naderializadeh, GK Rohde, H Hoffmann arXiv preprint arXiv:2006.09430, 2020 | 102 | 2020 |
Soheil KolouriComputer Science, Vanderbilt University, Nashville, TNvanderbilt.edu의 이메일 확인됨