|Extraction of airways from CT (EXACT'09)|
P Lo, B Van Ginneken, JM Reinhardt, T Yavarna, PA De Jong, B Irving, ...
IEEE Transactions on Medical Imaging 31 (11), 2093-2107, 2012
|Lung imaging and computer aided diagnosis|
A El-Baz, JS Suri
CRC Press, 2011
|3D segmentation of the airway tree using a morphology based method|
B Irving, P Taylor, A Todd-Pokropek
Proceedings of 2nd international workshop on pulmonary image analysis, 297-07, 2009
|Radiation dose from a linear slit scanning X-ray machine with full-body imaging capabilities|
BJ Irving, GJ Maree, ER Hering, TS Douglas
Radiation protection dosimetry 130 (4), 482-489, 2008
|Automated colorectal tumour segmentation in DCE-MRI using supervoxel neighbourhood contrast characteristics|
B Irving, A Cifor, BW Papież, J Franklin, EM Anderson, M Brady, ...
International Conference on Medical Image Computing and Computer-Assisted …, 2014
|Paediatric dose measurement in a full-body digital radiography unit|
GJ Maree, BJ Irving, ER Hering
Pediatric radiology 37 (10), 990-997, 2007
|Pieces-of-parts for supervoxel segmentation with global context: Application to DCE-MRI tumour delineation|
B Irving, JM Franklin, BW Papież, EM Anderson, RA Sharma, FV Gleeson, ...
Medical image analysis 32, 69-83, 2016
|Extracting 3D vascular structures from microscopy images using convolutional recurrent networks|
R Bates, B Irving, B Markelc, J Kaeppler, R Muschel, V Grau, JA Schnabel
arXiv preprint arXiv:1705.09597, 2017
|maskSLIC: Regional Superpixel Generation with Application to Local Pathology Characterisation in Medical Images|
B Irving, IA Popescu, R Bates, PD Allen, AL Gomes, P Kannan, ...
|Deep quantitative liver segmentation and vessel exclusion to assist in liver assessment|
B Irving, C Hutton, A Dennis, S Vikal, M Mavar, M Kelly, JM Brady
Annual Conference on Medical Image Understanding and Analysis, 663-673, 2017
|Comparison of linear and nonlinear implementation of the compartmental tissue uptake model for dynamic contrast‐enhanced MRI|
JF Kallehauge, S Sourbron, B Irving, K Tanderup, JA Schnabel, ...
Magnetic resonance in medicine 77 (6), 2414-2423, 2017
|Functional parameters derived from magnetic resonance imaging reflect vascular morphology in preclinical tumors and in human liver metastases|
P Kannan, WW Kretzschmar, H Winter, D Warren, R Bates, PD Allen, ...
Clinical Cancer Research 24 (19), 4694-4704, 2018
|Oncological image analysis|
M Brady, R Highnam, B Irving, JA Schnabel
Medical image analysis 33, 7-12, 2016
|Filtration to reduce paediatric dose for a linear slot-scanning digital X-ray machine|
TD Perks, R Dendere, B Irving, T Hartley, P Scholtz, A Lawson, ...
Radiation protection dosimetry 167 (4), 552-561, 2015
|Segmentation of vasculature from fluorescently labeled endothelial cells in multi-photon microscopy images|
R Bates, B Irving, B Markelc, J Kaeppler, G Brown, RJ Muschel, M Brady, ...
IEEE transactions on medical imaging 38 (1), 1-10, 2017
|Computer assisted detection of abnormal airway variation in CT scans related to paediatric tuberculosis|
BJ Irving, P Goussard, S Andronikou, R Gie, TS Douglas, ...
Medical image analysis 18 (7), 963-976, 2014
|Technical developments in postprocessing of paediatric airway imaging|
S Andronikou, B Irving, LT Hlabangana, T Pillay, P Taylor, P Goussard, ...
Pediatric radiology 43 (3), 269-284, 2013
|Magnitude‐intrinsic water–fat ambiguity can be resolved with multipeak fat modeling and a multipoint search method|
A Triay Bagur, C Hutton, B Irving, ML Gyngell, MD Robson, M Brady
Magnetic resonance in medicine 82 (1), 460-475, 2019
|Filling large discontinuities in 3D vascular networks using skeleton-and intensity-based information|
R Bates, L Risser, B Irving, BW Papież, P Kannan, V Kersemans, ...
International Conference on Medical Image Computing and Computer-Assisted …, 2015
|Identification of paediatric tuberculosis from airway shape features|
B Irving, P Goussard, R Gie, A Todd-Pokropek, P Taylor
International Conference on Medical Image Computing and Computer-Assisted …, 2011