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ORCIDKeith A. Goatman
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2020 – today
- 2024
[c14]Christopher Boland, Owen Anderson, Keith A. Goatman, John H. Hipwell, Sotirios A. Tsaftaris, Sonia Dahdouh:
All You Need Is a Guiding Hand: Mitigating Shortcut Bias in Deep Learning Models for Medical Imaging. FAIMI/EPIMI@MICCAI 2024: 67-77- 2023
- [j4]Antanas Kascenas, Pedro Sanchez
, Patrick Schrempf, Chaoyang Wang, William Clackett, Shadia Mikhael, Jeremy P. Voisey, Keith A. Goatman, Alexander Weir, Nicolas Pugeault, Sotirios A. Tsaftaris, Alison Q. O'Neil:
The role of noise in denoising models for anomaly detection in medical images. Medical Image Anal. 90: 102963 (2023) - [c13]Adam G. Tattersall, Keith A. Goatman, Lucy E. Kershaw, Scott I. K. Semple, Sonia Dahdouh:
Improving Style Transfer in Dynamic Contrast Enhanced MRI Using a Spatio-Temporal Approach. SASHIMI@MICCAI 2023: 97-106 - [c12]Ángel Víctor Juanco-Müller, João F. C. Mota, Keith A. Goatman, Corné Hoogendoorn:
The topology-overlap trade-off in retinal arteriole-venule segmentation. Medical Imaging: Image Processing 2023 - [c11]Adam G. Tattersall, Keith A. Goatman, Lucy E. Kershaw, Scott I. K. Semple, Sonia Dahdouh:
Can a single image processing algorithm work equally well across all phases of DCE-MRI. Medical Imaging: Image Processing 2023 - [i6]Antanas Kascenas, Pedro Sanchez, Patrick Schrempf, Chaoyang Wang, William Clackett, Shadia Mikhael, Jeremy P. Voisey, Keith A. Goatman, Alexander Weir, Nicolas Pugeault, Sotirios A. Tsaftaris, Alison Q. O'Neil:
The role of noise in denoising models for anomaly detection in medical images. CoRR abs/2301.08330 (2023) - [i5]Ángel Víctor Juanco-Müller, João F. C. Mota, Keith A. Goatman, Corné Hoogendoorn:
The Topology-Overlap Trade-Off in Retinal Arteriole-Venule Segmentation. CoRR abs/2303.18022 (2023) - [i4]Ángel Víctor Juanco-Müller, João F. C. Mota, Keith A. Goatman, Corné Hoogendoorn:
Towards Tumour Graph Learning for Survival Prediction in Head & Neck Cancer Patients. CoRR abs/2304.08106 (2023) - [i3]Adam G. Tattersall, Keith A. Goatman, Lucy E. Kershaw, Scott I. K. Semple, Sonia Dahdouh:
Can a single image processing algorithm work equally well across all phases of DCE-MRI? CoRR abs/2306.12988 (2023) - [i2]Adam G. Tattersall, Keith A. Goatman, Lucy E. Kershaw, Scott I. K. Semple, Sonia Dahdouh:
Improving style transfer in dynamic contrast enhanced MRI using a spatio-temporal approach. CoRR abs/2310.01908 (2023) - 2022
- [c10]Ángel Víctor Juanco-Müller, João F. C. Mota, Keith A. Goatman, Corné Hoogendoorn:
Towards Tumour Graph Learning for Survival Prediction in Head & Neck Cancer Patients. HECKTOR@MICCAI 2022: 178-191 - 2021
- [c9]Ángel Víctor Juanco-Müller, João F. C. Mota, Keith A. Goatman, Corné Hoogendoorn:
Deep Supervoxel Segmentation for Survival Analysis in Head and Neck Cancer Patients. HECKTOR@MICCAI 2021: 257-265 - 2020
- [c8]Owen Anderson, Andrew C. Kidd, Keith A. Goatman, Alexander J. Weir, Jeremy Voisey, Vismantas Dilys, Jan Paul Siebert, Kevin G. Blyth:
Fully Automated Volumetric Measurement of Malignant Pleural Mesothelioma from Computed Tomography Images by Deep Learning: Preliminary Results of an Internal Validation. BIOIMAGING 2020: 64-73 - [c7]Owen Anderson, Andrew C. Kidd, Keith A. Goatman, Alexander J. Weir, Jeremy P. Voisey, Vismantas Dilys, Jan Paul Siebert, Kevin G. Blyth:
Estimating the False Positive Prediction Rate in Automated Volumetric Measurements of Malignant Pleural Mesothelioma. BIOSTEC (Selected Papers) 2020: 116-139
2010 – 2019
- 2019
- [j3]Chengjia Wang, Keith A. Goatman, James P. Boardman, Erin Beveridge, David E. Newby, Scott I. Semple:
Distance Oriented Particle Swarm Optimizer for Brain Image Registration. IEEE Access 7: 56016-56027 (2019) - 2018
- [c6]James M. Sloan, Keith A. Goatman, J. Paul Siebert:
Learning Rigid Image Registration - Utilizing Convolutional Neural Networks for Medical Image Registration. BIOIMAGING 2018: 89-99 - [i1]Chengjia Wang, Keith A. Goatman, James P. Boardman, Erin Beveridge, David E. Newby, Scott Semple:
A Distance Oriented Kalman Filter Particle Swarm Optimizer Applied to Multi-Modality Image Registration. CoRR abs/1803.07423 (2018) - 2017
- [c5]Alison Q. O'Neil, John T. Murchison, Edwin J. R. van Beek, Keith A. Goatman:
Crowdsourcing Labels for Pathological Patterns in CT Lung Scans: Can Non-experts Contribute Expert-Quality Ground Truth? CVII-STENT/LABELS@MICCAI 2017: 96-105 - [c4]Alison O'Neil, Matthew Shepherd, Erin Beveridge, Keith A. Goatman:
A Comparison of Texture Features Versus Deep Learning for Image Classification in Interstitial Lung Disease. MIUA 2017: 743-753 - 2016
- [c3]James M. Sloan, Keith A. Goatman, Paul Siebert:
FASTR: Using Local Structure Tensors as a Similarity Metric. MIUA 2016: 194-199 - 2015
- [c2]Chengjia Wang, Keith A. Goatman, Tom J. MacGillivray, Erin Beveridge, Yolanda G. Sourgia Koutraki, James P. Boardman, Colin Stirrat, Sarah A. Sparrow, Emma Moore, Rozi Paraky, Shirjel Alam, Marc R. Dweck, Calvin Chin, Calum D. Gray, David E. Newby, Scott Semple:
Automatic multi-parametric MR registration method using mutual information based on adaptive asymmetric k-means binning. ISBI 2015: 1089-1092 - 2014
- [c1]Keith A. Goatman, Costas Plakas, Joanne D. Schuijf, Erin Beveridge, Mathias Prokop:
Computed tomography lung iodine contrast mapping by image registration and subtraction. Medical Imaging: Image Processing 2014: 90343I - 2011
- [j2]Keith A. Goatman, Alan D. Fleming, Sam Philip, Graeme J. Williams, John A. Olson, Peter F. Sharp:
Detection of New Vessels on the Optic Disc Using Retinal Photographs. IEEE Trans. Medical Imaging 30(4): 972-979 (2011)
2000 – 2009
- 2006
- [j1]Alan D. Fleming, Sam Philip, Keith A. Goatman, John A. Olson, Peter F. Sharp:
Automated microaneurysm detection using local contrast normalization and local vessel detection. IEEE Trans. Medical Imaging 25(9): 1223-1232 (2006)
Coauthor Index
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