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, 477-486, 2017 | 434 | 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 | 193 | 1997 |
LBP-based segmentation of defocus blur X Yi, M Eramian IEEE transactions on image processing 25 (4), 1626-1638, 2016 | 168 | 2016 |
Histogram equalization using neighborhood metrics M Eramian, D Mould The 2nd Canadian Conference on Computer and Robot Vision (CRV'05), 397-404, 2005 | 88 | 2005 |
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 | 65 | 2019 |
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 | 57 | 2007 |
Generation of aquifer heterogeneity maps using two-dimensional spectral texture segmentation techniques MG Eramian, RA Schincariol, L Mansinha, RG Stockwell Mathematical Geology 31, 327-348, 1999 | 54 | 1999 |
Classification of crop lodging with gray level co-occurrence matrix S Rajapaksa, M Eramian, H Duddu, M Wang, S Shirtliffe, S Ryu, ... 2018 IEEE Winter Conference on Applications of Computer Vision (WACV), 251-258, 2018 | 46 | 2018 |
Feature-rich distance-based terrain synthesis B Rusnell, D Mould, M Eramian The Visual Computer 25, 573-579, 2009 | 39 | 2009 |
Segmentation of epithelium in H&E stained odontogenic cysts M Eramian, M Daley, D Neilson, T Daley Journal of Microscopy, 2011 | 31 | 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 | 27 | 1997 |
Automatic detection and segmentation of lentil crop breeding plots from multi-spectral images captured by UAV-mounted camera I Ahmed, M Eramian, I Ovsyannikov, W van der Kamp, K Nielsen, ... 2019 IEEE Winter Conference on Applications of Computer Vision (WACV), 1673-1681, 2019 | 26 | 2019 |
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 | 24 | 2017 |
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 | 24 | 2015 |
Enhancement of textural differences based on morphological component analysis J Chi, M Eramian IEEE Transactions on Image Processing 24 (9), 2671-2684, 2015 | 23 | 2015 |
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 | 19 | 2017 |
Evaluation of texture features for analysis of ovarian follicular development N Bian, MG Eramian, RA Pierson Medical Image Computing and Computer-Assisted Intervention–MICCAI 2006: 9th …, 2006 | 19 | 2006 |
Automated classification of four types of developmental odontogenic cysts A Frydenlund, M Eramian, T Daley Computerized medical imaging and graphics 38 (3), 151-162, 2014 | 18 | 2014 |
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 | 15 | 2007 |
Identification of morphologically similar seeds using multi-kernel learning X Yi, M Eramian, R Wang, E Neufeld 2014 Canadian Conference on Computer and Robot Vision, 143-150, 2014 | 14 | 2014 |