Fergus Gleeson

According to our database, Fergus Gleeson authored at least 22 papers between 2008 and 2024.

Collaborative distances:

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

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

Proceedings of the Medical Image Understanding and Analysis - 28th Annual Conference, 2024

Accurate Subtyping of Lung Cancers by Modelling Class Dependencies.

George Batchkala, Bin Li, Mengran Fan, Mark McCole, Cecilia Brambilla, Fergus Gleeson, Jens Rittscher

Proceedings of the IEEE International Symposium on Biomedical Imaging, 2024

2022

Active Data Enrichment by Learning What to Annotate in Digital Pathology.

George Batchkala, Tapabrata Chakraborti, Mark McCole, Fergus Gleeson, Jens Rittscher

Proceedings of the Cancer Prevention Through Early Detection, 2022

2021

Contrastive Representations for Continual Learning of Fine-Grained Histology Images.

Tapabrata Chakraborti, Fergus Gleeson, Jens Rittscher

Proceedings of the Machine Learning in Medical Imaging - 12th International Workshop, 2021

2019

Efficient 3D Fully Convolutional Networks for Pulmonary Lobe Segmentation in CT Images.

Hoileong Lee, Tahreema N. Matin, Fergus Gleeson, Vicente Grau

CoRR, 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

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

Proceedings of the 16th IEEE International Symposium on Biomedical Imaging, 2019

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

Proceedings of the Medical Imaging 2018: Image-Guided Procedures, 2018

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

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

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

Int. J. Comput. Assist. Radiol. Surg., 2017

Learning-Based Multi-atlas Segmentation of the Lungs and Lobes in Proton MR Images.

Hoileong Lee, Tahreema N. Matin, Fergus Gleeson, Vicente Grau

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2017, 2017

2016

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, Julia A. Schnabel

Medical Image Anal., 2016

2015

Liver Motion Estimation via Locally Adaptive Over-Segmentation Regularization.

Bartlomiej W. Papiez, Jamie Franklin, Mattias P. Heinrich, Fergus V. Gleeson, Julia A. Schnabel

Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2015 - 18th International Conference Munich, Germany, October 5, 2015

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, Jamie Franklin, Michael Brady, Mark Jenkinson

Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2013, 2013

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, Julia A. Schnabel

Proceedings of the Information Processing in Medical Imaging, 2013

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, Julia A. Schnabel

Medical Image Anal., 2012

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

Proceedings of the 9th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2012

2011

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

Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2011, 2011

2010

Using interactive and multi-touch technology to support decision making in multidisciplinary team meetings.

Maria Susana Avila Garcia, Anne E. Trefethen, Michael Brady, Fergus Gleeson

Proceedings of the IEEE 23rd International Symposium on Computer-Based Medical Systems (CBMS 2010), 2010

2009

Robust Estimation of Pharmacokinetic Parameters in DCE-MRI Analysis of Rectal Tumours.

Lydia Tanner, Nick Hughes, Michael Brady, Mark Anderson, Fergus Gleeson

Proceedings of the 2009 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, Boston, MA, USA, June 28, 2009

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

Proceedings of the Fifth International Conference on e-Science, 2009

2008

Lowering the Barriers to Cancer Imaging.

Maria Susana Avila Garcia, Anne E. Trefethen, Michael Brady, Fergus Gleeson, Daniel Goodman

Proceedings of the Fourth International Conference on e-Science, 2008