Computing Entropy Maps of Finite-Automaton-Encoded Binary Images. - Mark G. Eramian (WIA, 1999)

Talking Tactile Diagrams. - Mark G. Eramian; Helmut Jürgensen; Haibo Li; Christopher Power (HCI (4), 2003)

Bag Automata and Stochastic Retrieval of Biomolecules in Solution. - Mark Daley; Mark G. Eramian; Ian McQuillan (CIAA, 2003)

Does Hausdorff Dimension Measure Texture Complexity?. - Mark G. Eramian; Matthew Drotar (CIAA, 2004)

Efficient Simulation of Nondeterministic Weighted Finite Automata. - Mark G. Eramian (J. Autom. Lang. Comb., 2004)

Histogram Equalization using Neighborhood Metrics. - Mark G. Eramian; David Mould (CRV, 2005)

Evaluation of Texture Features for Analysis of Ovarian Follicular Development. - Na Bian; Mark G. Eramian; Roger A. Pierson (MICCAI (2), 2006)

Computer Assisted Detection of Polycystic Ovary Morphology in Ultrasound Images. - Maryruth J. Lawrence; Mark G. Eramian; Roger A. Pierson; Eric Neufeld (CRV, 2007)

Classification of Bovine Reproductive Cycle Phase using Ultrasound-Detected Features. - Idalia Maldonado-Castillo; Mark G. Eramian; Roger A. Pierson; Jaswant Singh; Gregg P. Adams (CRV, 2007)

The Bag Automaton: A Model of Nondeterministic Storage. - Mark Daley; Mark G. Eramian; Ian McQuillan (J. Autom. Lang. Comb., 2008)

Feature-rich distance-based terrain synthesis. - Brennan Rusnell; David Mould; Mark G. Eramian (Vis. Comput., 2009)

Automated detection of grayscale bar and distance scale in ultrasound images. - Waqas Ahmed; Mark G. Eramian (Image Processing, 2010)

Worst-Case Local Boundary Precision in Global Measures of Segmentation Reproducibility. - Mark G. Eramian (CRV, 2013)

Evaluation of Interactive Segmentation Algorithms Using Densely Sampled Correct Interactions. - S. M. Rafizul Haque; Mark G. Eramian; Kevin A. Schneider (ICIAP (1), 2013)

Automatic detection and segmentation of bovine corpora lutea in ultrasonographic ovarian images using genetic programming and rotation invariant local binary patterns. - Meng Dong; Mark G. Eramian; Simone A. Ludwig; Roger A. Pierson (Medical Biol. Eng. Comput., 2013)

Identification of Morphologically Similar Seeds Using Multi-kernel Learning. - Xin Yi; Mark G. Eramian; Ruojing Wang; Eric Neufeld (CRV, 2014)

Automated classification of four types of developmental odontogenic cysts. - A. Frydenlund; Mark G. Eramian; T. Daley (Comput. Medical Imaging Graph., 2014)

Enhancement of Textural Differences Based on Morphological Component Analysis. - Jianning Chi; Mark G. Eramian (IEEE Trans. Image Process., 2015)

Wavelet-based texture-characteristic morphological component analysis for colour image enhancement. - Jianning Chi; Mark G. Eramian (ICIP, 2016)

LBP-Based Segmentation of Defocus Blur. - Xin Yi; Mark G. Eramian (IEEE Trans. Image Process., 2016)

Enhancing textural differences using wavelet-based texture characteristics morphological component analysis: A preprocessing method for improving image segmentation. - Jianning Chi; Mark G. Eramian (Comput. Vis. Image Underst., 2017)

Thyroid Nodule Classification in Ultrasound Images by Fine-Tuning Deep Convolutional Neural Network. - Jianning Chi; Ekta Walia; Paul S. Babyn; Jimmy Wang; Gary Groot; Mark G. Eramian (J. Digit. Imaging, 2017)

Improving Archaeologists' Online Archive Experiences Through User-Centred Design. - Christopher Power; Andrew Lewis; Helen Petrie; Katie Green; Julian Richards 001; Mark G. Eramian; Brittany Chan; Ekta Walia; Isaac Sijaranamual; Maarten de Rijke (ACM Journal on Computing and Cultural Heritage, 2017)

Image-based search and retrieval for biface artefacts using features capturing archaeologically significant characteristics. - Mark G. Eramian; Ekta Walia; Christopher Power; Paul A. Cairns; Andrew Lewis (Mach. Vis. Appl., 2017)

Data-Driven Multispectral Image Registration. - Rahat Yasir; Mark G. Eramian; Ian Stavness; Steve Shirtliffe; Hema Sudhakar Duddu (CRV, 2018)

Classification of Crop Lodging with Gray Level Co-occurrence Matrix. - Sajith Rajapaksa; Mark G. Eramian; Hema Sudhakar Duddu; Menglu Wang 001; Steve Shirtliffe; Seungbum Ryu; Anique Josuttes; Ti Zhang; Sally Vail; Curtis Pozniak; Isobel Parkin (WACV, 2018)

Robust and User Friendly 3D Re-Construction of Neutron Tomographic Images. - Hao Song; Mark G. Eramian; Emil Hallin; Blanche Leyeza; Paul G. Arnison; Ronald Rogge (WACV, 2018)

From Helmut Jürgensen's Former Students: The Game of Informatics Research. - Mark Daley; Mark G. Eramian; Christopher Power; Ian McQuillan (J. Autom. Lang. Comb., 2018)

ProTractor: A Lightweight Ground Imaging and Analysis System for Early-Season Field Phenotyping. - Nico Higgs; Blanche Leyeza; Jordan R. Ubbens; Josh Kocur; William van der Kamp; Theron Cory; Christina Eynck; Sally Vail; Mark G. Eramian; Ian Stavness (CVPR Workshops, 2019)

Crop Lodging Prediction From UAV-Acquired Images of Wheat and Canola Using a DCNN Augmented With Handcrafted Texture Features. - Sara Mardanisamani; Farhad Maleki; Sara Hosseinzadeh Kassani; Sajith Rajapaksa; Hema Sudhakar Duddu; Menglu Wang 001; Steve Shirtliffe; Seungbum Ryu; Anique Josuttes; Ti Zhang; Sally Vail; Curtis Pozniak; et al. (CVPR Workshops, 2019)

Automatic Detection and Segmentation of Lentil Crop Breeding Plots From Multi-Spectral Images Captured by UAV-Mounted Camera. - Imran Ahmed; Mark G. Eramian; Ilya Ovsyannikov; William van der Kamp; Karsten Nielsen; Hema Sudhakar Duddu; Arafia Rumali; Steve Shirtliffe; Kirstin Bett (WACV, 2019)

A Novel Technique Combining Image Processing, Plant Development Properties, and the Hungarian Algorithm, to Improve Leaf Detection in Maize. - Nazifa Azam Khan; Oliver A. S. Lyon; Mark G. Eramian; Ian McQuillan (CVPR Workshops, 2020)

Benchmarking Human Performance in Semi-Automated Image Segmentation. - Mark G. Eramian; Christopher Power; Stephen Rau; Pulkit Khandelwal (Interact. Comput., 2020)

Plant Root Occlusion Inpainting with Generative Adversarial Network. - Hao Song; Karim Panjvani; Zhigang Liu; Huzaifa Amar; Leon Kochian; Shengjian Ye; Xuan Yang; J. Allan Feurtado; Krunal Chavda; Karina Angela Chimbo Huatatoca; Mark G. Eramian (ICCV (Workshops), 2023)

Effectiveness of Training with Procedurally Generated Synthetic Images of Crop Plants. - Nazifa Azam Khan; Mikolaj Cieslak; Mark G. Eramian; Ian McQuillan (CVPR Workshops, 2025)