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Journal Articles
- 2022
[j1]Heyi Li
, Dongdong Chen, William H. Nailon, Mike E. Davies, David I. Laurenson:
Dual Convolutional Neural Networks for Breast Mass Segmentation and Diagnosis in Mammography. IEEE Trans. Medical Imaging 41(1): 3-13 (2022)
Conference and Workshop Papers
- 2021
- [c18]Durai Arun Pannir Selvam, David I. Laurenson, William H. Nailon, Duncan B. McLaren:
Localised 3D disparity regularisation for improving contour propagation in Adaptive Radiotherapy. Medical Imaging: Image Processing 2021 - [c17]Roushanak Rahmat, David Harris-Birtill, David Finn, Yang Feng, Dean Montgomery, William H. Nailon, Stephen McLaughlin:
Radiomics-Led Monitoring of Non-small Cell Lung Cancer Patients During Radiotherapy. MIUA 2021: 532-546 - 2019
- [c16]Heyi Li, Dongdong Chen, William H. Nailon, Mike E. Davies, Dave Laurenson:
A Deep Dual-path Network for Improved Mammogram Image Processing. ICASSP 2019: 1224-1228 - [c15]Heyi Li, Dongdong Chen, William H. Nailon, Mike E. Davies, David I. Laurenson:
Signed Laplacian Deep Learning with Adversarial Augmentation for Improved Mammography Diagnosis. MICCAI (6) 2019: 486-494 - 2018
- [c14]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:
Convolutional neural networks for automated targeted analysis of raw gas chromatography-mass spectrometry data. IJCNN 2018: 1-8 - [c13]Heyi Li, Dongdong Chen, William H. Nailon, Mike E. Davies, David Laurenson:
Improved Breast Mass Segmentation in Mammograms with Conditional Residual U-Net. RAMBO+BIA+TIA@MICCAI 2018: 81-89 - 2017
- [c12]Jonathan H. Mason, William H. Nailon, Mike E. Davies:
A Monte Carlo Framework for Low Dose CT Reconstruction Testing. SASHIMI@MICCAI 2017: 79-88 - [c11]Roushanak Rahmat, William Henry Nailon, Allan Price, David Harris-Birtill, Stephen McLaughlin:
New Level Set Model in Follow Up Radiotherapy Image Analysis. MIUA 2017: 273-284 - [c10]Jonathan H. Mason, Alessandro Perelli, William H. Nailon, Mike E. Davies:
Quantitative Electron Density CT Imaging for Radiotherapy Planning. MIUA 2017: 297-308 - [c9]Jonathan H. Mason, Alessandro Perelli, William H. Nailon, Mike E. Davies:
Can Planning Images Reduce Scatter in Follow-Up Cone-Beam CT? MIUA 2017: 629-640 - 2016
- [c8]Fraser D. Robinson, Louise H. Crockett, William H. Nailon, Robert W. Stewart:
High-level synthesis for medical image processing on Systems on Chip: A case study. FPL 2016: 1-2 - 2014
- [c7]K. Cheng, Dean Montgomery, F. Yang, Duncan B. McLaren, Steve McLaughlin, William H. Nailon:
Active shape models with optimised texture features for radiotherapy. Medical Imaging: Image-Guided Procedures 2014: 90362G - 2010
- [c6]Hanqing Liao, William H. Nailon, Duncan B. McLaren, Steve McLaughlin:
Classification of bladder cancer on radiotherapy planning CT images using textural features. EUSIPCO 2010: 284-288 - 2008
- [c5]William H. Nailon, Anthony T. Redpath, Duncan B. McLaren:
Texture analysis of 3D bladder cancer CT images for improving radiotherapy planning. ISBI 2008: 652-655 - 2001
- [c4]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:
Registration of Reconstructed Post Mortem Optical Data with MR Scans of the Same Patient. MICCAI 2001: 957-965 - 2000
- [c3]Alan C. F. Colchester, Sébastien Ourselin, Yonggen Zhu, Éric Bardinet, Yang He, Alexis Roche, Safa Al-Sarraj, Bill Nailon, James Ironside, Nicholas Ayache:
3-D Reconstruction of Macroscopic Optical Brain Slice Images. MICCAI 2000: 95-105 - 1996
- [c2]William H. Nailon, Steve McLaughlin, Timothy Spencer, M. Pauliina Ramo:
Comparative study of textural analysis techniques to characterise tissue from intravascular ultrasound. ICIP (3) 1996: 303-306 - [c1]William H. Nailon, Steve McLaughlin, Timothy Spencer, M. Pauliina Ramo:
Intravascular ultrasound image interpretation. ICPR 1996: 503-507
Informal and Other Publications
- 2020
- [i6]Angelika Skarysz, Dahlia Salman, Michael Eddleston, Martin Sykora, Eugénie Hunsicker, William H. Nailon, Kareen Darnley, Duncan B. McLaren, C. L. Paul Thomas, Andrea Soltoggio:
Fast and automated biomarker detection in breath samples with machine learning. CoRR abs/2006.01772 (2020) - [i5]Heyi Li, Dongdong Chen, William H. Nailon, Mike E. Davies, David Laurenson:
Dual Convolutional Neural Networks for Breast Mass Segmentation and Diagnosis in Mammography. CoRR abs/2008.02957 (2020) - [i4]Heyi Li, Dongdong Chen, William H. Nailon, Mike E. Davies, David Laurenson:
COIN: Contrastive Identifier Network for Breast Mass Diagnosis in Mammography. CoRR abs/2012.14690 (2020) - 2019
- [i3]Heyi Li, Dongdong Chen, William H. Nailon, Mike E. Davies, Dave Laurenson:
A Deep DUAL-PATH Network for Improved Mammogram Image Processing. CoRR abs/1903.00001 (2019) - [i2]Heyi Li, Dongdong Chen, William H. Nailon, Mike E. Davies, David I. Laurenson:
Signed Laplacian Deep Learning with Adversarial Augmentation for Improved Mammography Diagnosis. CoRR abs/1907.00300 (2019) - 2018
- [i1]Heyi Li, Dongdong Chen, Bill Nailon, Mike E. Davies, Dave Laurenson:
Improved Breast Mass Segmentation in Mammograms with Conditional Residual U-net. CoRR abs/1808.08885 (2018)
Coauthor Index
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