Mark Eramian
Mark Eramian
Verified email at cs.usask.ca
Title
Cited by
Cited by
Year
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
1722017
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
1531997
Histogram equalization using neighborhood metrics
M Eramian, D Mould
The 2nd Canadian Conference on Computer and Robot Vision (CRV'05), 397-404, 2005
792005
LBP-based segmentation of defocus blur
X Yi, M Eramian
IEEE transactions on image processing 25 (4), 1626-1638, 2016
712016
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
411999
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
322007
Feature-rich distance-based terrain synthesis
B Rusnell, D Mould, M Eramian
The Visual Computer 25 (5), 573-579, 2009
312009
Segmentation of epithelium in H&E stained odontogenic cysts
M Eramian, M Daley, D Neilson, T Daley
Journal of Microscopy, 2011
252011
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
241997
Enhancement of textural differences based on morphological component analysis
J Chi, M Eramian
IEEE Transactions on Image Processing 24 (9), 2671-2684, 2015
192015
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
132019
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
132015
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
122007
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
122006
Talking tactile diagrams
M Eramian, H Jürgensen, H Li, C Power
Proceedings of HCI International 4, 1377-1381, 2003
122003
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
112017
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
112013
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
102017
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
102008
Image texture analysis using weighted finite automata.
MG Eramian
102005
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Articles 1–20