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Journal Articles
- 2019
[j1]Emanuele Pesce, Samuel Withey, Petros-Pavlos Ypsilantis, Robert Bakewell
, Vicky Goh, Giovanni Montana:
Learning to detect chest radiographs containing pulmonary lesions using visual attention networks. Medical Image Anal. 53: 26-38 (2019)
Conference and Workshop Papers
- 2023
- [c6]Ashay Patel, Petru-Daniel Tudosiu, Walter H. L. Pinaya, Mark S. Graham, Olusola Adeleke, Gary J. Cook, Vicky Goh, Sébastien Ourselin, M. Jorge Cardoso:
Self-Supervised Anomaly Detection from Anomalous Training Data via Iterative Latent Token Masking. ICCV (Workshops) 2023: 2394-2402 - [c5]Ashay Patel, Petru-Daniel Tudosiu, Walter Hugo Lopez Pinaya, Olusola Adeleke, Gary J. Cook, Vicky Goh, Sébastien Ourselin, M. Jorge Cardoso:
Geometry-Invariant Abnormality Detection. MICCAI (1) 2023: 300-309 - 2022
- [c4]Ashay Patel, Petru-Daniel Tudosiu, Walter Hugo Lopez Pinaya, Gary J. Cook, Vicky Goh, Sébastien Ourselin, M. Jorge Cardoso:
Cross Attention Transformers for Multi-modal Unsupervised Whole-Body PET Anomaly Detection. DGM4MICCAI@MICCAI 2022: 14-23 - [c3]Matthew MacPherson, Keerthini Muthuswamy, Ashik Amlani, Charles Hutchinson, Vicky Goh, Giovanni Montana:
Assessing the Performance of Automated Prediction and Ranking of Patient Age from Chest X-rays Against Clinicians. MICCAI (8) 2022: 255-265 - 2020
- [c2]Kerstin Kläser, Pedro Borges, Richard Shaw, Marta Ranzini, Marc Modat, David Atkinson, Kris Thielemans, Brian F. Hutton, Vicky Goh, Gary J. Cook, M. Jorge Cardoso, Sébastien Ourselin:
Uncertainty-Aware Multi-resolution Whole-Body MR to CT Synthesis. SASHIMI@MICCAI 2020: 110-119 - 2015
- [c1]Musib Siddique, Mike Peters, Georgia Keramida, Zohaib Siddiqui, Vicky Goh, Gary J. Cook:
Temporal Evolution of Hepatic Fat Distribution Heterogeneity using Dynamic 18F-FDG PET Imaging. MIUA 2015: 60-65
Informal and Other Publications
- 2024
- [i5]Salil B. Patel, Vicky Goh, James F. FitzGerald, Chrystalina A. Antoniades:
2D and 3D Deep Learning Models for MRI-based Parkinson's Disease Classification: A Comparative Analysis of Convolutional Kolmogorov-Arnold Networks, Convolutional Neural Networks, and Graph Convolutional Networks. CoRR abs/2407.17380 (2024) - 2023
- [i4]Ashay Patel, Petru-Daniel Tudosiu, Walter H. L. Pinaya, Gary J. Cook, Vicky Goh, Sébastien Ourselin, M. Jorge Cardoso:
Cross Attention Transformers for Multi-modal Unsupervised Whole-Body PET Anomaly Detection. CoRR abs/2304.07147 (2023) - [i3]Lucia Innocenti, Michela Antonelli, Francesco Cremonesi, Kenaan Sarhan, Alejandro Granados, Vicky Goh, Sébastien Ourselin, Marco Lorenzi:
Benchmarking Collaborative Learning Methods Cost-Effectiveness for Prostate Segmentation. CoRR abs/2309.17097 (2023) - 2022
- [i2]Matthew MacPherson, Keerthini Muthuswamy, Ashik Amlani, Charles Hutchinson, Vicky Goh, Giovanni Montana:
Assessing the Performance of Automated Prediction and Ranking of Patient Age from Chest X-rays Against Clinicians. CoRR abs/2207.01302 (2022) - 2017
- [i1]Emanuele Pesce, Petros-Pavlos Ypsilantis, Samuel Withey, Robert Bakewell, Vicky Goh, Giovanni Montana:
Learning to detect chest radiographs containing lung nodules using visual attention networks. CoRR abs/1712.00996 (2017)
Coauthor Index
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