Comparative study of textural analysis techniques to characterise tissue from intravascular ultrasound. - William H. Nailon; Steve McLaughlin 001; Timothy Spencer; M. Pauliina Ramo (ICIP (3), 1996)

Intravascular ultrasound image interpretation. - William H. Nailon; Steve McLaughlin 001; Timothy Spencer; M. Pauliina Ramo (ICPR, 1996)

3-D Reconstruction of Macroscopic Optical Brain Slice Images. - Alan C. F. Colchester; Sébastien Ourselin; Yonggen Zhu; Éric Bardinet; Yang He; Alexis Roche; Safa Al-Sarraj; Bill Nailon; James Ironside; Nicholas Ayache (MICCAI, 2000)

Registration of Reconstructed Post Mortem Optical Data with MR Scans of the Same Patient. - Éric Bardinet; Alan C. F. Colchester; Alexis Roche; Yonggen Zhu; Yang He; Sébastien Ourselin; Bill Nailon; S. Ali Hojjat 001; James Ironside; Safa Al-Sarraj; Nicholas Ayache; Joanna M. Wardlaw (MICCAI, 2001)

Texture analysis of 3D bladder cancer CT images for improving radiotherapy planning. - William H. Nailon; Anthony T. Redpath; Duncan B. McLaren (ISBI, 2008)

Classification of bladder cancer on radiotherapy planning CT images using textural features. - Hanqing Liao; William H. Nailon; Duncan B. McLaren; Steve McLaughlin 001 (EUSIPCO, 2010)

Active shape models with optimised texture features for radiotherapy. - K. Cheng; Dean Montgomery; F. Yang; Duncan B. McLaren; Steve McLaughlin 001; William H. Nailon (Image-Guided Procedures, 2014)

High-level synthesis for medical image processing on Systems on Chip: A case study. - Fraser D. Robinson; Louise H. Crockett; William H. Nailon; Robert W. Stewart (FPL, 2016)

A Monte Carlo Framework for Low Dose CT Reconstruction Testing. - Jonathan H. Mason; William H. Nailon; Mike E. Davies 001 (SASHIMI@MICCAI, 2017)

Quantitative Electron Density CT Imaging for Radiotherapy Planning. - Jonathan H. Mason; Alessandro Perelli; William H. Nailon; Mike E. Davies 001 (MIUA, 2017)

Can Planning Images Reduce Scatter in Follow-Up Cone-Beam CT? - Jonathan H. Mason; Alessandro Perelli; William H. Nailon; Mike E. Davies 001 (MIUA, 2017)

New Level Set Model in Follow Up Radiotherapy Image Analysis. - Roushanak Rahmat; William Henry Nailon; Allan Price; David Harris-Birtill; Stephen McLaughlin 001 (MIUA, 2017)

Convolutional neural networks for automated targeted analysis of raw gas chromatography-mass spectrometry data. - Angelika Skarysz; Yaser Alkhalifah; Kareen Darnley; Michael Eddleston; Yang Hu 004; Duncan B. McLaren; William H. Nailon; Dahlia Salman; Martin Sykora; C. L. Paul Thomas; Andrea Soltoggio (IJCNN, 2018)

Improved Breast Mass Segmentation in Mammograms with Conditional Residual U-Net. - Heyi Li; Dongdong Chen 004; William H. Nailon; Mike E. Davies 001; David Laurenson (RAMBO+BIA+TIA@MICCAI, 2018)

A Deep Dual-path Network for Improved Mammogram Image Processing. - Heyi Li; Dongdong Chen 004; William H. Nailon; Mike E. Davies 001; Dave Laurenson (ICASSP, 2019)

Signed Laplacian Deep Learning with Adversarial Augmentation for Improved Mammography Diagnosis. - Heyi Li; Dongdong Chen 004; William H. Nailon; Mike E. Davies 001; David I. Laurenson (MICCAI (6), 2019)

Fast and automated biomarker detection in breath samples with machine learning. - Angelika Skarysz; Dahlia Salman; Michael Eddleston; Martin Sykora; Eugénie Hunsicker; William H. Nailon; Kareen Darnley; Duncan B. McLaren; C. L. Paul Thomas; Andrea Soltoggio (CoRR, 2020)

COIN: Contrastive Identifier Network for Breast Mass Diagnosis in Mammography. - Heyi Li; Dongdong Chen 004; William H. Nailon; Mike E. Davies 001; David Laurenson (CoRR, 2020)

Localised 3D disparity regularisation for improving contour propagation in Adaptive Radiotherapy. - Durai Arun Pannir Selvam; David I. Laurenson; William H. Nailon; Duncan B. McLaren (Image Processing, 2021)

Radiomics-Led Monitoring of Non-small Cell Lung Cancer Patients During Radiotherapy. - Roushanak Rahmat; David Harris-Birtill; David Finn; Yang Feng; Dean Montgomery; William H. Nailon; Stephen McLaughlin 001 (MIUA, 2021)

Lung CT Analysis Using 3D Disparity-Regularised Block Matching for Stereotactic Ablative Body Radiotherapy. - Durai Arun Pannir Selvam; David I. Laurenson; William H. Nailon; Duncan B. McLaren (MICAD, 2022)

Dual Convolutional Neural Networks for Breast Mass Segmentation and Diagnosis in Mammography. - Heyi Li; Dongdong Chen 004; William H. Nailon; Mike E. Davies 001; David I. Laurenson (IEEE Trans. Medical Imaging, 2022)