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Fergus Gleeson
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2020 – today
- 2024
- [c17]George Batchkala, Bin Li, Mengran Fan, Mark McCole, Cecilia Brambilla, Fergus Gleeson, Jens Rittscher:
Accurate Subtyping of Lung Cancers by Modelling Class Dependencies. ISBI 2024: 1-5 - [c16]Jiahua Li, James T. Grist, Fergus V. Gleeson, Bartlomiej W. Papiez:
Multimodal Deformable Image Registration for Long-COVID Analysis Based on Progressive Alignment and Multi-perspective Loss. MIUA (2) 2024: 216-226 - [i3]Jiahua Li, James T. Grist, Fergus V. Gleeson, Bartlomiej W. Papiez:
Multimodal Deformable Image Registration for Long-COVID Analysis Based on Progressive Alignment and Multi-perspective Loss. CoRR abs/2406.15172 (2024) - 2022
- [c15]George Batchkala, Tapabrata Chakraborti, Mark McCole, Fergus Gleeson, Jens Rittscher:
Active Data Enrichment by Learning What to Annotate in Digital Pathology. CaPTion@MICCAI 2022: 118-127 - 2021
- [c14]Tapabrata Chakraborti, Fergus Gleeson, Jens Rittscher:
Contrastive Representations for Continual Learning of Fine-Grained Histology Images. MLMI@MICCAI 2021: 1-9
2010 – 2019
- 2019
- [j4]Adam Szmul, Tahreema N. Matin, Fergus V. Gleeson, Julia A. Schnabel, Vicente Grau, Bartlomiej W. Papiez:
Patch-based lung ventilation estimation using multi-layer supervoxels. Comput. Medical Imaging Graph. 74: 49-60 (2019) - [c13]P. M. Gordaliza, Juan José Vaquero, Sally Sharpe, Fergus Gleeson, Arrate Muñoz-Barrutia:
Tuberculosis Lesions in CT Images Inferred using 3D-CNN and Multi-Task Learning. ISBI 2019: 294-297 - [i2]Hoileong Lee, Tahreema N. Matin, Fergus Gleeson, Vicente Grau:
Efficient 3D Fully Convolutional Networks for Pulmonary Lobe Segmentation in CT Images. CoRR abs/1909.07474 (2019) - 2018
- [c12]Adam Szmul, Tahreema N. Matin, Fergus V. Gleeson, Julia A. Schnabel, Vicente Grau, Bartlomiej W. Papiez:
XeMRI to CT Lung Image Registration Enhanced with Personalized 4DCT-Derived Motion Model. RAMBO+BIA+TIA@MICCAI 2018: 260-271 - [c11]Adam Szmul, Bartlomiej W. Papiez, Tahreema N. Matin, Fergus V. Gleeson, Julia A. Schnabel, Vicente Grau:
Regional lung ventilation estimation based on supervoxel tracking. Image-Guided Procedures 2018: 105761E - 2017
- [j3]Mitchell Chen, Emma Helm, Niranjan Joshi, Fergus Gleeson, Michael Brady:
Computer-aided volumetric assessment of malignant pleural mesothelioma on CT using a random walk-based method. Int. J. Comput. Assist. Radiol. Surg. 12(4): 529-538 (2017) - [c10]Hoileong Lee, Tahreema N. Matin, Fergus Gleeson, Vicente Grau:
Learning-Based Multi-atlas Segmentation of the Lungs and Lobes in Proton MR Images. MICCAI (1) 2017: 108-115 - 2016
- [j2]Benjamin Irving, James M. Franklin, Bartlomiej W. Papiez, Ewan M. Anderson, Ricky A. Sharma, Fergus V. Gleeson, Mike Brady, Julia A. Schnabel:
Pieces-of-parts for supervoxel segmentation with global context: Application to DCE-MRI tumour delineation. Medical Image Anal. 32: 69-83 (2016) - [i1]Benjamin Irving, James M. Franklin, Bartlomiej W. Papiez, Ewan M. Anderson, Ricky A. Sharma, Fergus V. Gleeson, J. Michael Brady, Julia A. Schnabel:
Pieces-of-parts for supervoxel segmentation with global context: Application to DCE-MRI tumour delineation. CoRR abs/1604.05210 (2016) - 2015
- [c9]Bartlomiej W. Papiez, Jamie Franklin, Mattias P. Heinrich, Fergus V. Gleeson, Julia A. Schnabel:
Liver Motion Estimation via Locally Adaptive Over-Segmentation Regularization. MICCAI (3) 2015: 427-434 - 2013
- [c8]Mattias P. Heinrich, Mark Jenkinson, Bartlomiej W. Papiez, Fergus V. Gleeson, Michael Brady, Julia A. Schnabel:
Edge- and Detail-Preserving Sparse Image Representations for Deformable Registration of Chest MRI and CT Volumes. IPMI 2013: 463-474 - [c7]Manav Bhushan, Julia A. Schnabel, Michael A. Chappell, Fergus Gleeson, Mark Anderson, Jamie Franklin, Michael Brady, Mark Jenkinson:
The Impact of Heterogeneity and Uncertainty on Prediction of Response to Therapy Using Dynamic MRI Data. MICCAI (1) 2013: 316-323 - 2012
- [j1]Mattias P. Heinrich, Mark Jenkinson, Manav Bhushan, Tahreema N. Matin, Fergus Gleeson, Michael Brady, Julia A. Schnabel:
MIND: Modality independent neighbourhood descriptor for multi-modal deformable registration. Medical Image Anal. 16(7): 1423-1435 (2012) - [c6]Tom Doel, Tahreema N. Matin, Fergus Gleeson, David Gavaghan, Vicente Grau:
Pulmonary lobe segmentation from CT images using fissureness, airways, vessels and multilevel B-splines. ISBI 2012: 1491-1494 - 2011
- [c5]Mattias P. Heinrich, Mark Jenkinson, Manav Bhushan, Tahreema N. Matin, Fergus Gleeson, J. Michael Brady, Julia A. Schnabel:
Non-local Shape Descriptor: A New Similarity Metric for Deformable Multi-modal Registration. MICCAI (2) 2011: 541-548 - 2010
- [c4]Maria Susana Avila Garcia, Anne E. Trefethen, Michael Brady, Fergus Gleeson:
Using interactive and multi-touch technology to support decision making in multidisciplinary team meetings. CBMS 2010: 98-103
2000 – 2009
- 2009
- [c3]Maria Susana Avila-Garcia, Anne E. Trefethen, Niranjan Joshi, Fergus Gleeson, Wail Ba-alawi:
Sharing and Reusing Cancer Image Segmentation Algorithms Using Scientific Workflows: Pros and Cons. eScience 2009: 94-101 - [c2]Lydia Tanner, Nick Hughes, Michael Brady, Mark Anderson, Fergus Gleeson:
Robust Estimation of Pharmacokinetic Parameters in DCE-MRI Analysis of Rectal Tumours. ISBI 2009: 69-72 - 2008
- [c1]Maria Susana Avila Garcia, Anne E. Trefethen, Michael Brady, Fergus Gleeson, Daniel Goodman:
Lowering the Barriers to Cancer Imaging. eScience 2008: 63-70
Coauthor Index
aka: Bartlomiej W. Papiez
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