Boguslaw Obara

About

Professor Boguslaw Obara is Dean of Business Partnerships & Place and Professor of Image Informatics at Newcastle University. He leads research in image processing, pattern recognition, computer vision, and machine learning, with applications in life sciences, engineering, and humanities. His work focuses on extracting information from complex visual data and advancing multimodal imaging and decision-support technologies.

Selected publications

• Rajgor AD, Kui C, Mill A, Rushton S, Obara B, Hamilton DW. When Research Data Meets Reality: Contrasting Advanced Laryngeal Cancer Outcomes in The Cancer Imaging Archive (TCIA) and a UK Regional Cohort.
• Rajgor AD, Gill T, Aboagye E, Mill A, Rushton S, Obara B, Hamilton DW. Radiomics from Routine CT and PET/CT Imaging in Laryngeal Squamous Cell Carcinoma: A Systematic Review with Radiomics Quality Score Assessment.
• Smith J, Zuo Z, Stonehouse J, Obara B. Mobile phone image-based framework for anti-copy pattern detection and classification.
• Rajgor A, Gill T, Aboagye E, Mill A, Rushton S, Obara B, Hamilton DW. Impact of Socioeconomic Deprivation on Outcomes in Advanced Laryngeal Cancer: A Retrospective Regional United Kingdom Cohort Study.
• Xiong X, Habib M, Steel DH, Yamaguchi CT, Peto T, Obara B. Image-processing pipeline for diagnosing diabetic macular ischaemia in diabetic macular oedema.
• Kucukgoz B, Zou K, Murphy DC, Steel DH, Obara B, Fu H. Uncertainty-aware regression model to predict post-operative visual acuity in patients with macular holes.
• Anderson M, Habib M, Steel DH, Obara B. Incremental 2D self-labelling for effective 3D medical volume segmentation with minimal annotations.
• Zahari R, Cox J, Obara B. C-UQ: Conflict-Based Uncertainty Quantification – A Case Study in Lung Cancer Classification.
• Al-Zubaidy A, Stankiewicz A, Anderson M, Reed J, Corona V, Pope R, Obara B, Habib H, Steel DH. A scoping review of the use of artificial intelligence models in automated OCT analysis and prediction of treatment outcomes in diabetic macular oedema.
• Zahari R, Cox J, Obara B. Uncertainty-aware image classification on 3D CT lung.