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Keith A. Goatman
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2020 – today
- 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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last updated on 2024-04-25 05:52 CEST by the dblp team
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