M. Eramian

发表

Local S-spectrum analysis of 1-D and 2-D data

R. P. Lowe, L. Mansinha, R. Stockwell, 1997 .

Segmentation of epithelium in H&E stained odontogenic cysts

M. Eramian, M. Daley, D. Neilson, 2011, Journal of microscopy.

Generation of Aquifer Heterogeneity Maps Using Two-Dimensional Spectral Texture Segmentation Techniques

L. Mansinha, R. Stockwell, M. Eramian, 1999 .

Classification of Four Types of Odontogenic Cysts

M. Eramian, T. Daley, A. Frydenlund, 2012 .

Classification of Bovine Reproductive Cycle Phase using Ultrasound-Detected Features

Roger A. Pierson, Mark G. Eramian, Idalia Maldonado-Castillo, 2007, Fourth Canadian Conference on Computer and Robot Vision (CRV '07).

Semi-Self-Supervised Learning for Semantic Segmentation in Images with Dense Patterns

I. Stavness, M. Eramian, Keyhan Najafian, 2022, bioRxiv.

Segmentation of vegetation and microplots in aerial agriculture images: A survey

M. Eramian, S. Mardanisamani, 2022, The Plant Phenome Journal.

Iterative image segmentation of plant roots for high-throughput phenotyping

M. Eramian, L. Kochian, Rahul Chandnani, 2022, Scientific Reports.

Computing Entropy Maps of Finite-Automaton-Encoded Binary Images

Mark G. Eramian, M. Eramian, 1999, WIA.

Enhancement of Textural Differences Based on Morphological Component Analysis

Jianning Chi, Mark G. Eramian, M. Eramian, 2015, IEEE Transactions on Image Processing.

Rapamycin reduces fibroblast proliferation without causing quiescence and induces STAT5A/B-mediated cytokine production

Anthony Kusalik, Kimberly MacKay, Brett Trost, 2015, Nucleus.

Level set segmentation of bovine corpora lutea in ex situ ovarian ultrasound images

Jaswant Singh, Brennan Rusnell, M. Eramian, 2008, Reproductive biology and endocrinology : RB&E.

Automated classification of four types of developmental odontogenic cysts

Mark G. Eramian, A. Frydenlund, T. Daley, 2014, Comput. Medical Imaging Graph..

Genes responsive to rapamycin and serum deprivation are clustered on chromosomes and undergo re-organization within local chromatin environments.

Jennifer A. Mitchell, M. Eramian, A. Kusalik, 2020, Biochemistry and cell biology = Biochimie et biologie cellulaire.

Thyroid Nodule Classification in Ultrasound Images by Fine-Tuning Deep Convolutional Neural Network

Paul Babyn, Jianning Chi, Ekta Walia, 2017, Journal of Digital Imaging.

Robust and User Friendly 3D Re-Construction of Neutron Tomographic Images

Hao Song, Mark G. Eramian, Emil Hallin, 2018, 2018 IEEE Winter Conference on Applications of Computer Vision (WACV).

Benchmarking Human Performance in Semi-Automated Image Segmentation

Christopher Power, Mark Eramian, Pulkit Khandelwal, 2020, Interact. Comput..

Evaluation of Texture Features for Analysis of Ovarian Follicular Development

Roger A. Pierson, Mark G. Eramian, Na Bian, 2006, MICCAI.

LBP-Based Segmentation of Defocus Blur

Xin Yi, Mark G. Eramian, M. Eramian, 2016, IEEE Transactions on Image Processing.

Histogram equalization using neighborhood metrics

Mark G. Eramian, David Mould, M. Eramian, 2005, The 2nd Canadian Conference on Computer and Robot Vision (CRV'05).

Enhancing textural differences using wavelet-based texture characteristics morphological component analysis: A preprocessing method for improving image segmentation

Jianning Chi, Mark G. Eramian, M. Eramian, 2017, Comput. Vis. Image Underst..

Wavelet-based texture-characteristic morphological component analysis for colour image enhancement

Jianning Chi, Mark G. Eramian, M. Eramian, 2016, 2016 IEEE International Conference on Image Processing (ICIP).

Automatic Detection and Segmentation of Lentil Crop Breeding Plots From Multi-Spectral Images Captured by UAV-Mounted Camera

Imran Ahmed, Karsten Nielsen, Mark G. Eramian, 2019, 2019 IEEE Winter Conference on Applications of Computer Vision (WACV).

Automatic detection and segmentation of bovine corpora lutea in ultrasonographic ovarian images using genetic programming and rotation invariant local binary patterns

Meng Dong, Simone A. Ludwig, Roger A. Pierson, 2012, Medical & Biological Engineering & Computing.

Feature-rich distance-based terrain synthesis

Mark G. Eramian, David Mould, Brennan Rusnell, 2009, The Visual Computer.

Computer Assisted Detection of Polycystic Ovary Morphology in Ultrasound Images

Eric Neufeld, Roger A. Pierson, Mark G. Eramian, 2007, Fourth Canadian Conference on Computer and Robot Vision (CRV '07).

A Novel Technique Combining Image Processing, Plant Development Properties, and the Hungarian Algorithm, to Improve Leaf Detection in Maize

Ian McQuillan, Mark Eramian, Nazifa Khan, 2020, 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW).

Improving Archaeologists’ Online Archive Experiences Through User-Centred Design

Andrew Lewis, M. de Rijke, Maarten de Rijke, 2017, ACM Journal on Computing and Cultural Heritage.

Crop Lodging Prediction From UAV-Acquired Images of Wheat and Canola Using a DCNN Augmented With Handcrafted Texture Features

Ian Stavness, Farhad Maleki, Sara Mardanisamani, 2019, 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW).

S 1 : Unsupervised , Self-supervised , and Semi-supervised Learn

I. Stavness, M. Eramian, Keyhan Najafian, 2022 .

Evaluation of Interactive Segmentation Algorithms Using Densely Sampled Correct Interactions

Kevin A. Schneider, Mark G. Eramian, S. M. Rafizul Haque, 2013, ICIAP.

Worst-Case Local Boundary Precision in Global Measures of Segmentation Reproducibility

Mark G. Eramian, M. Eramian, 2013, 2013 International Conference on Computer and Robot Vision.

ProTractor: A Lightweight Ground Imaging and Analysis System for Early-Season Field Phenotyping

Ian Stavness, Sally Vail, Jordan Ubbens, 2019, 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW).

Automatic Microplot Localization Using UAV Images and a Hierarchical Image-Based Optimization Method

Minhajul A. Badhon, I. Stavness, M. Eramian, 2021, Plant phenomics.