William H. Nailon

According to our database, William H. Nailon authored at least 22 papers between 1996 and 2022.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2022

Dual Convolutional Neural Networks for Breast Mass Segmentation and Diagnosis in Mammography.

Heyi Li, Dongdong Chen, William H. Nailon, Mike E. Davies, David I. Laurenson

IEEE Trans. Medical Imaging, 2022

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

Proceedings of 2022 International Conference on Medical Imaging and Computer-Aided Diagnosis, 2022

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

Proceedings of the Medical Image Understanding and Analysis - 25th Annual Conference, 2021

Localised 3D disparity regularisation for improving contour propagation in Adaptive Radiotherapy.

Durai Arun Pannir Selvam, David I. Laurenson, William H. Nailon, Duncan B. McLaren

Proceedings of the Medical Imaging 2021: Image Processing, Online, February 15-19, 2021, 2021

2020

COIN: Contrastive Identifier Network for Breast Mass Diagnosis in Mammography.

Heyi Li, Dongdong Chen, William H. Nailon, Mike E. Davies, David Laurenson

CoRR, 2020

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

2019

Signed Laplacian Deep Learning with Adversarial Augmentation for Improved Mammography Diagnosis.

Heyi Li, Dongdong Chen, William H. Nailon, Mike E. Davies, David I. Laurenson

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019

A Deep Dual-path Network for Improved Mammogram Image Processing.

Heyi Li, Dongdong Chen, William H. Nailon, Mike E. Davies, Dave Laurenson

Proceedings of the IEEE International Conference on Acoustics, 2019

2018

Improved Breast Mass Segmentation in Mammograms with Conditional Residual U-Net.

Heyi Li, Dongdong Chen, William H. Nailon, Mike E. Davies, David Laurenson

Proceedings of the Image Analysis for Moving Organ, Breast, and Thoracic Images, 2018

Convolutional neural networks for automated targeted analysis of raw gas chromatography-mass spectrometry data.

Angelika Skarysz, Yaser Alkhalifah, Kareen Darnley, Michael Eddleston, Yang Hu, Duncan B. McLaren, William H. Nailon, Dahlia Salman, Martin Sykora, C. L. Paul Thomas, Andrea Soltoggio

Proceedings of the 2018 International Joint Conference on Neural Networks, 2018

2017

New Level Set Model in Follow Up Radiotherapy Image Analysis.

Roushanak Rahmat, William Henry Nailon, Allan Price, David Harris-Birtill, Stephen McLaughlin

Proceedings of the Medical Image Understanding and Analysis - 21st Annual Conference, 2017

Can Planning Images Reduce Scatter in Follow-Up Cone-Beam CT?

Jonathan H. Mason, Alessandro Perelli, William H. Nailon, Mike E. Davies

Proceedings of the Medical Image Understanding and Analysis - 21st Annual Conference, 2017

Quantitative Electron Density CT Imaging for Radiotherapy Planning.

Jonathan H. Mason, Alessandro Perelli, William H. Nailon, Mike E. Davies

Proceedings of the Medical Image Understanding and Analysis - 21st Annual Conference, 2017

A Monte Carlo Framework for Low Dose CT Reconstruction Testing.

Jonathan H. Mason, William H. Nailon, Mike E. Davies

Proceedings of the Simulation and Synthesis in Medical Imaging, 2017

2016

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

Proceedings of the 26th International Conference on Field Programmable Logic and Applications, 2016

2014

Active shape models with optimised texture features for radiotherapy.

K. Cheng, Dean Montgomery, F. Yang, Duncan B. McLaren, Steve McLaughlin, William H. Nailon

Proceedings of the Medical Imaging 2014: Image-Guided Procedures, 2014

2010

Classification of bladder cancer on radiotherapy planning CT images using textural features.

Hanqing Liao, William H. Nailon, Duncan B. McLaren, Steve McLaughlin

Proceedings of the 18th European Signal Processing Conference, 2010

2008

Texture analysis of 3D bladder cancer CT images for improving radiotherapy planning.

William H. Nailon, Anthony T. Redpath, Duncan B. McLaren

Proceedings of the 2008 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2008

2001

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, James Ironside, Safa Al-Sarraj, Nicholas Ayache, Joanna M. Wardlaw

Proceedings of the Medical Image Computing and Computer-Assisted Intervention, 2001

2000

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

Proceedings of the Medical Image Computing and Computer-Assisted Intervention, 2000

1996

Intravascular ultrasound image interpretation.

William H. Nailon, Steve McLaughlin, Timothy Spencer, M. Pauliina Ramo

Proceedings of the 13th International Conference on Pattern Recognition, 1996

Comparative study of textural analysis techniques to characterise tissue from intravascular ultrasound.

William H. Nailon, Steve McLaughlin, Timothy Spencer, M. Pauliina Ramo

Proceedings of the Proceedings 1996 International Conference on Image Processing, 1996