| Thyroid nodule classification in ultrasound images by fine-tuning deep convolutional neural network J Chi, E Walia, P Babyn, J Wang, G Groot, M Eramian Journal of digital imaging 30 (4), 477-486, 2017 | 172 | 2017 |
| Local< i> S</i>-spectrum analysis of 1-D and 2-D data L Mansinha, RG Stockwell, RP Lowe, M Eramian, RA Schincariol Physics of the earth and planetary interiors 103 (3), 329-336, 1997 | 153 | 1997 |
| Histogram equalization using neighborhood metrics M Eramian, D Mould The 2nd Canadian Conference on Computer and Robot Vision (CRV'05), 397-404, 2005 | 79 | 2005 |
| LBP-based segmentation of defocus blur X Yi, M Eramian IEEE transactions on image processing 25 (4), 1626-1638, 2016 | 71 | 2016 |
| Generation of aquifer heterogeneity maps using two-dimensional spectral texture segmentation techniques MG Eramian, RA Schincariol, L Mansinha, RG Stockwell Mathematical Geology 31 (3), 327-348, 1999 | 41 | 1999 |
| Computer assisted detection of polycystic ovary morphology in ultrasound images MJ Lawrence, MG Eramian, RA Pierson, E Neufeld Fourth Canadian Conference on Computer and Robot Vision (CRV'07), 105-112, 2007 | 32 | 2007 |
| Feature-rich distance-based terrain synthesis B Rusnell, D Mould, M Eramian The Visual Computer 25 (5), 573-579, 2009 | 31 | 2009 |
| Segmentation of epithelium in H&E stained odontogenic cysts M Eramian, M Daley, D Neilson, T Daley Journal of Microscopy, 2011 | 25 | 2011 |
| Review of applications of 1D and 2D S transforms M Eramian, RA Schincariol, RG Stockwell, RP Lowe, L Mansinha Proceedings of SPIE 3078, 558, 1997 | 24 | 1997 |
| Enhancement of textural differences based on morphological component analysis J Chi, M Eramian IEEE Transactions on Image Processing 24 (9), 2671-2684, 2015 | 19 | 2015 |
| Crop lodging prediction from UAV-acquired images of wheat and canola using a DCNN augmented with handcrafted texture features S Mardanisamani, F Maleki, S Hosseinzadeh Kassani, S Rajapaksa, ... Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2019 | 13 | 2019 |
| Rapamycin reduces fibroblast proliferation without causing quiescence and induces STAT5A/B-mediated cytokine production ZE Gillespie, K MacKay, M Sander, B Trost, W Dawicki, A Wickramarathna, ... Nucleus 6 (6), 490-506, 2015 | 13 | 2015 |
| Enhancing ultrasound texture differences for developing an in vivo ‘virtual histology’ approach to bovine ovarian imaging MG Eramian, GP Adams, RA Pierson Reproduction, Fertility and Development 19 (8), 910-924, 2007 | 12 | 2007 |
| Evaluation of texture features for analysis of ovarian follicular development N Bian, MG Eramian, RA Pierson International Conference on Medical Image Computing and Computer-Assisted …, 2006 | 12 | 2006 |
| Talking tactile diagrams M Eramian, H Jürgensen, H Li, C Power Proceedings of HCI International 4, 1377-1381, 2003 | 12 | 2003 |
| Improving archaeologists’ online archive experiences through user-centred design C Power, A Lewis, H Petrie, K Green, J Richards, M Eramian, B Chan, ... Journal on Computing and Cultural Heritage (JOCCH) 10 (1), 1-20, 2017 | 11 | 2017 |
| Automatic detection and segmentation of bovine corpora lutea in ultrasonographic ovarian images using genetic programming and rotation invariant local binary patterns M Dong, MG Eramian, SA Ludwig, RA Pierson Medical & biological engineering & computing 51 (4), 405-416, 2013 | 11 | 2013 |
| Enhancing textural differences using wavelet-based texture characteristics morphological component analysis: A preprocessing method for improving image segmentation J Chi, M Eramian Computer Vision and Image Understanding 158, 49-61, 2017 | 10 | 2017 |
| Level set segmentation of bovine corpora lutea in ex situ ovarian ultrasound images BJ Rusnell, RA Pierson, J Singh, GP Adams, MG Eramian Reproductive Biology and Endocrinology 6 (1), 1-16, 2008 | 10 | 2008 |
| Image texture analysis using weighted finite automata. MG Eramian | 10 | 2005 |
