Lowering the Barriers to Cancer Imaging. - Maria Susana Avila Garcia; Anne E. Trefethen; Michael Brady 001; Fergus Gleeson; Daniel Goodman 001 (eScience, 2008)

Sharing and Reusing Cancer Image Segmentation Algorithms Using Scientific Workflows: Pros and Cons. - Maria Susana Avila-Garcia; Anne E. Trefethen; Niranjan Joshi; Fergus Gleeson; Wail Ba-alawi (eScience, 2009)

Robust Estimation of Pharmacokinetic Parameters in DCE-MRI Analysis of Rectal Tumours. - Lydia Tanner; Nick Hughes; Michael Brady 001; Mark Anderson 002; Fergus Gleeson (ISBI, 2009)

Using interactive and multi-touch technology to support decision making in multidisciplinary team meetings. - Maria Susana Avila Garcia; Anne E. Trefethen; Michael Brady 001; Fergus Gleeson (CBMS, 2010)

Non-local Shape Descriptor: A New Similarity Metric for Deformable Multi-modal Registration. - Mattias P. Heinrich; Mark Jenkinson; Manav Bhushan; Tahreema N. Matin; Fergus Gleeson; J. Michael Brady; Julia A. Schnabel (MICCAI (2), 2011)

Pulmonary lobe segmentation from CT images using fissureness, airways, vessels and multilevel B-splines. - Tom Doel; Tahreema N. Matin; Fergus Gleeson; David Gavaghan; Vicente Grau (ISBI, 2012)

MIND: Modality independent neighbourhood descriptor for multi-modal deformable registration. - Mattias P. Heinrich; Mark Jenkinson; Manav Bhushan; Tahreema N. Matin; Fergus Gleeson; Michael Brady 001; Julia A. Schnabel (Medical Image Anal., 2012)

Edge- and Detail-Preserving Sparse Image Representations for Deformable Registration of Chest MRI and CT Volumes. - Mattias P. Heinrich; Mark Jenkinson; Bartlomiej W. Papiez; Fergus V. Gleeson; Michael Brady 001; Julia A. Schnabel (IPMI, 2013)

The Impact of Heterogeneity and Uncertainty on Prediction of Response to Therapy Using Dynamic MRI Data. - Manav Bhushan; Julia A. Schnabel; Michael A. Chappell; Fergus Gleeson; Mark Anderson 002; Jamie Franklin; Michael Brady 001; Mark Jenkinson (MICCAI (1), 2013)

Liver Motion Estimation via Locally Adaptive Over-Segmentation Regularization. - Bartlomiej W. Papiez; Jamie Franklin; Mattias P. Heinrich; Fergus V. Gleeson; Julia A. Schnabel (MICCAI (3), 2015)

Pieces-of-parts for supervoxel segmentation with global context: Application to DCE-MRI tumour delineation. - Benjamin Irving; James M. Franklin; Bartlomiej W. Papiez; Ewan M. Anderson; Ricky A. Sharma; Fergus V. Gleeson; Mike Brady 001; Julia A. Schnabel (Medical Image Anal., 2016)

Learning-Based Multi-atlas Segmentation of the Lungs and Lobes in Proton MR Images. - Hoileong Lee; Tahreema N. Matin; Fergus Gleeson; Vicente Grau (MICCAI (1), 2017)

Computer-aided volumetric assessment of malignant pleural mesothelioma on CT using a random walk-based method. - Mitchell Chen; Emma Helm; Niranjan Joshi; Fergus Gleeson; Michael Brady 001 (Int. J. Comput. Assist. Radiol. Surg., 2017)

XeMRI to CT Lung Image Registration Enhanced with Personalized 4DCT-Derived Motion Model. - Adam Szmul; Tahreema N. Matin; Fergus V. Gleeson; Julia A. Schnabel; Vicente Grau; Bartlomiej W. Papiez (RAMBO+BIA+TIA@MICCAI, 2018)

Regional lung ventilation estimation based on supervoxel tracking. - Adam Szmul; Bartlomiej W. Papiez; Tahreema N. Matin; Fergus V. Gleeson; Julia A. Schnabel; Vicente Grau (Image-Guided Procedures, 2018)

Tuberculosis Lesions in CT Images Inferred using 3D-CNN and Multi-Task Learning. - P. M. Gordaliza; Juan José Vaquero; Sally Sharpe; Fergus Gleeson; Arrate Muñoz-Barrutia (ISBI, 2019)

Patch-based lung ventilation estimation using multi-layer supervoxels. - Adam Szmul; Tahreema N. Matin; Fergus V. Gleeson; Julia A. Schnabel; Vicente Grau; Bartlomiej W. Papiez (Comput. Medical Imaging Graph., 2019)

Efficient 3D Fully Convolutional Networks for Pulmonary Lobe Segmentation in CT Images. - Hoileong Lee; Tahreema N. Matin; Fergus Gleeson; Vicente Grau (CoRR, 2019)

Contrastive Representations for Continual Learning of Fine-Grained Histology Images. - Tapabrata Chakraborti; Fergus Gleeson; Jens Rittscher (MLMI@MICCAI, 2021)

Active Data Enrichment by Learning What to Annotate in Digital Pathology. - George Batchkala; Tapabrata Chakraborti; Mark McCole; Fergus Gleeson; Jens Rittscher (CaPTion@MICCAI, 2022)

Accurate Subtyping of Lung Cancers by Modelling Class Dependencies. - George Batchkala; Bin Li; Mengran Fan; Mark McCole; Cecilia Brambilla; Fergus Gleeson; Jens Rittscher (ISBI, 2024)

Multimodal Deformable Image Registration for Long-COVID Analysis Based on Progressive Alignment and Multi-perspective Loss. - Jiahua Li; James T. Grist; Fergus V. Gleeson; Bartlomiej W. Papiez (MIUA (2), 2024)