Automated microaneurysm detection using local contrast normalization and local vessel detection. - Alan D. Fleming; Sam Philip; Keith A. Goatman; John A. Olson; Peter F. Sharp (IEEE Trans. Medical Imaging, 2006)

Detection of New Vessels on the Optic Disc Using Retinal Photographs. - Keith A. Goatman; Alan D. Fleming; Sam Philip; Graeme J. Williams; John A. Olson; Peter F. Sharp (IEEE Trans. Medical Imaging, 2011)

Computed tomography lung iodine contrast mapping by image registration and subtraction. - Keith A. Goatman; Costas Plakas; Joanne D. Schuijf; Erin Beveridge; Mathias Prokop (Image Processing, 2014)

Automatic multi-parametric MR registration method using mutual information based on adaptive asymmetric k-means binning. - Chengjia Wang; Keith A. Goatman; Tom J. MacGillivray; Erin Beveridge; Yolanda G. Sourgia Koutraki; James P. Boardman; Colin Stirrat; Sarah A. Sparrow; Emma Moore; Rozi Paraky; Shirjel Alam; Marc R. Dweck; et al. (ISBI, 2015)

FASTR: Using Local Structure Tensors as a Similarity Metric. - James M. Sloan; Keith A. Goatman; Paul Siebert (MIUA, 2016)

Crowdsourcing Labels for Pathological Patterns in CT Lung Scans: Can Non-experts Contribute Expert-Quality Ground Truth? - Alison Q. O'Neil; John T. Murchison; Edwin J. R. van Beek; Keith A. Goatman (CVII-STENT/LABELS@MICCAI, 2017)

A Comparison of Texture Features Versus Deep Learning for Image Classification in Interstitial Lung Disease. - Alison O'Neil; Matthew Shepherd; Erin Beveridge; Keith A. Goatman (MIUA, 2017)

Learning Rigid Image Registration - Utilizing Convolutional Neural Networks for Medical Image Registration. - James M. Sloan; Keith A. Goatman; J. Paul Siebert (BIOIMAGING, 2018)

A Distance Oriented Kalman Filter Particle Swarm Optimizer Applied to Multi-Modality Image Registration. - Chengjia Wang; Keith A. Goatman; James P. Boardman; Erin Beveridge; David E. Newby; Scott Semple (CoRR, 2018)

Distance Oriented Particle Swarm Optimizer for Brain Image Registration. - Chengjia Wang; Keith A. Goatman; James P. Boardman; Erin Beveridge; David E. Newby; Scott I. Semple (IEEE Access, 2019)

Fully Automated Volumetric Measurement of Malignant Pleural Mesothelioma from Computed Tomography Images by Deep Learning: Preliminary Results of an Internal Validation. - Owen Anderson; Andrew C. Kidd; Keith A. Goatman; Alexander J. Weir; Jeremy Voisey; Vismantas Dilys; Jan Paul Siebert; Kevin G. Blyth (BIOIMAGING, 2020)

Estimating the False Positive Prediction Rate in Automated Volumetric Measurements of Malignant Pleural Mesothelioma. - Owen Anderson; Andrew C. Kidd; Keith A. Goatman; Alexander J. Weir; Jeremy P. Voisey; Vismantas Dilys; Jan Paul Siebert; Kevin G. Blyth (BIOSTEC (Selected Papers), 2020)

Deep Supervoxel Segmentation for Survival Analysis in Head and Neck Cancer Patients. - Ángel Víctor Juanco-Müller; João F. C. Mota; Keith A. Goatman; Corné Hoogendoorn (HECKTOR@MICCAI, 2021)

Towards Tumour Graph Learning for Survival Prediction in Head & Neck Cancer Patients. - Ángel Víctor Juanco-Müller; João F. C. Mota; Keith A. Goatman; Corné Hoogendoorn (HECKTOR@MICCAI, 2022)

Improving Style Transfer in Dynamic Contrast Enhanced MRI Using a Spatio-Temporal Approach. - Adam G. Tattersall; Keith A. Goatman; Lucy E. Kershaw; Scott I. K. Semple; Sonia Dahdouh (SASHIMI@MICCAI, 2023)

The topology-overlap trade-off in retinal arteriole-venule segmentation. - Ángel Víctor Juanco-Müller; João F. C. Mota; Keith A. Goatman; Corné Hoogendoorn (Image Processing, 2023)

Can a single image processing algorithm work equally well across all phases of DCE-MRI. - Adam G. Tattersall; Keith A. Goatman; Lucy E. Kershaw; Scott I. K. Semple; Sonia Dahdouh (Image Processing, 2023)

The role of noise in denoising models for anomaly detection in medical images. - Antanas Kascenas; Pedro Sanchez; Patrick Schrempf; Chaoyang Wang; William Clackett; Shadia Mikhael; Jeremy P. Voisey; Keith A. Goatman; Alexander Weir; Nicolas Pugeault; Sotirios A. Tsaftaris; Alison Q. O'Neil (Medical Image Anal., 2023)

All You Need Is a Guiding Hand: Mitigating Shortcut Bias in Deep Learning Models for Medical Imaging. - Christopher Boland; Owen Anderson; Keith A. Goatman; John H. Hipwell; Sotirios A. Tsaftaris; Sonia Dahdouh (FAIMI/EPIMI@MICCAI, 2024)

There Are No Shortcuts to Anywhere Worth Going: Identifying Shortcuts in Deep Learning Models for Medical Image Analysis. - Christopher Boland; Keith A. Goatman; Sotirios A. Tsaftaris; Sonia Dahdouh (MIDL, 2024)

Conformal Coronary Calcification Volume Estimation with Conditional Coverage via Histogram Clustering. - Olivier Jaubert; Salman Mohammadi; Keith A. Goatman; Shadia Mikhael; Conor Bradley; Rebecca Hughes; Richard Good; John H. Hipwell; Sonia Dahdouh (ISBI, 2025)