Code and Data

1. BMFT: Achieving Fairness via Bias-based Weight Masking Fine-tuning
Y Xue, J Yan, R Dutt, F Haider, J Liu, S McDonagh, SA Tsaftaris
MICCAI 2024, Workshop on Fairness of AI in Medical Imaging
Preprint Code

2. Erase to Enhance: Data-Efficient Machine Unlearning in MRI Reconstruction
Y Xue, J Liu, S McDonagh, SA Tsaftaris
MIDL 2024
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3. Inference Stage Denoising for Undersampled MRI Reconstruction
Y Xue, C Qin, SA Tsaftaris
ISBI 2024
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4. Unveiling Fairness Biases in Deep Learning-Based Brain MRI Reconstruction
Y. Du, Y. Xue, R. Dharmakumar, S.A. Tsaftaris
MICCAI 2023, Workshop on Clinical Image-Based Procedures
Full Text Preprint Code

5. Diffusion Models for Causal Discovery via Topological Ordering
P. Sanchez, X. Liu, A.Q. O'Neil, S.A. Tsaftaris
ICLR 2023
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6. Adversarial counterfactual augmentation: application in Alzheimer’s disease classification
T. Xia, P. Sanchez, C. Qin, S.A. Tsaftaris
Frontiers in Radiology, 2022
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7. vMFNet: Compositionality Meets Domain-generalised Segmentation
X. Liu, S. Thermos, P. Sanchez, A.Q. O'Neil, S.A. Tsaftaris
MICCAI 2022
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8. Cardiac aging synthesis from cross-sectional data with conditional generative adversarial networks
V. Campello, T. Xia, X. Liu, P. Sanchez, C. Martín-Isla, S.E. Petersen, S. Segui, S.A. Tsaftaris, K. Lekadir
Frontiers in Cardiovascular Medicine, 2022
Full Text Code

9. What is Healthy? Generative Counterfactual Diffusion for Lesion Localization
P. Sanchez, A. Kascenas, X. Liu, A.Q. O'Neil, S.A. Tsaftaris
MICCAI Workshop 2022, Deep Generative Models
Full Text Preprint Code

10. Indication as Prior Knowledge for Multimodal Disease Classification in Chest Radiographs with Transformers
G. Jacenków; A.Q. O’Neil, S.A. Tsaftaris
ISBI 2022
Full Text Preprint Code

11. Diffusion Causal Models for Counterfactual Estimation
P. Sanchez, S.A. Tsaftaris
CLeaR 2022
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12. Measuring Unintended Memorisation of Unique Private Features in Neural Networks.
J. Hartley, S.A. Tsaftaris
2022
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13. Controllable cardiac synthesis via disentangled anatomy arithmetic
S. Thermos, X. Liu, A. O'Neil, S.A. Tsaftaris
MICCAI 2021
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14. Semi-supervised Meta-learning with Disentanglement for Domain-generalised Medical Image Segmentation
X. Liu, S. Thermos, A. O'Neil, S.A. Tsaftaris
MICCAI 2021
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15. Self-supervised Multi-scale Consistency for Weakly Supervised Segmentation Learning
G. Valvano, A. Leo, S.A. Tsaftaris
MICCAI workshop, 2021, DART
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16. Stop Throwing Away Discriminators! Re-using Adversaries for Test-Time Training
G. Valvano, A. Leo, S.A. Tsaftaris
MICCAI workshop, 2021, DART
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17. Complementary Time-Frequency Domain Networks for Dynamic Parallel MR Image Reconstruction
C. Qin, J. Duan, K. Hammernik, J. Schlemper, T. Küstner, R. Botnar, C. Prieto, A. N. Price, J. V. Hajnal, and D. Rueckert
Magnetic Resonance in Medicine, 2021
Full Text Code

18. Learning to Segment from Scribbles using Multi-scale Adversarial Attention Gates
G. Valvano, A. Leo, S.A. Tsaftaris
IEEE Transactions on Medical Imaging, vol. 40, no. 8, pp. 1990-2001, Aug. 2021
Preprint Code Website

19. Biomechanics-Informed Neural Networks for Myocardial Motion Tracking in MRI
C. Qin, S. Wang, C. Chen, H. Qiu, W. Bai, and D. Rueckert.
MICCAI 2020
Full Text Preprint Code Website

20. Disentangle, align and fuse for multimodal and zero-shot image segmentation
A. Chartsias, G. Papanastasiou, C. Wang, S. Semple, D. Newby, R. Dharmakumar, S.A. Tsaftaris
IEEE Transactions on Medical Imaging, Volume: 40, Issue: 3, March 2021
Full Text Preprint Code

21. Semi-supervised Pathology Segmentation with Disentangled Representations
H. Jiang, A. Chartsias, X. Zhang, G. Panastasiou, S. Semple, M. Dweck, D. Semple, R. Dharmakumar, S.A. Tsaftaris
MICCAI 2020, DART: Domain Adaptation and Representation Transfer
Preprint Code

22. Max-Fusion U-Net for Multi-Modal Pathology Segmentation with Attention and Dynamic Resampling
H. Jiang, C. Wang, A. Chartsias, S.A. Tsaftaris
MICCAI 2020, MyoPS: Multi-sequence CMR based Mycardial Pathology Segmentation Challenge
Preprint Code

23. Measuring the Biases and Effectiveness of Content-Style Disentanglement
X. Liu, S. Thermos, G. Valvano, A. Chartsias, A.Q. O'Neil, S.A. Tsaftaris
BMVC, 2021
Preprint Code

24. Disentangled Representations for Domain-generalized Cardiac Segmentation
X. Liu, S. Thermos, A. Chartsias, A.Q. O'Neil, S.A. Tsaftaris
MICCAI 2020, STACOM: Statistical Atlases and Computational Modelling of the Heart
Preprint Code

25. INSIDE: Steering Spatial Attention with Non-Imaging Information in CNNs
G. Jacenków, A.Q. O'Neil, B. Mohr, S.A. Tsaftaris
MICCAI 2020
Full Text Preprint Code

26. Pseudo-healthy synthesis with pathology disentanglement and adversarial learning
T. Xia, A. Chartsias, S.A. Tsaftaris
Medical Image Analysis, vol. 64, 2020
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27. Doing More with Less: A Multitask Deep Learning Approach in Plant Phenotyping
A. Dobrescu, M.V. Giuffrida, S.A. Tsaftaris
Frontiers in Plant Science, 11:141
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28. Blind Inpainting of Large-scale Masks of Thin Structures with Adversarial and Reinforcement Learning
H. Chen, M.V. Giuffrida, P. Doerner, S.A. Tsaftaris
TBA, submitted
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29. Learning to synthesise the ageing brain without longitudinal data
T. Xia, A. Chartsias, C. Wang, S.A. Tsaftaris
Medical Image Analysis, vol. 73, 102169, October 2021
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30. Unsupervised Rotation Factorization in Restricted Boltzmann Machines
V. Giuffrida, S.A. Tsaftaris
IEEE Transactions on Image Processing, vol. 29, no. 1, pp. 2166-2175, 2020
Full Text PDF Code

31. Temporal Consistency Objectives Regularize the Learning of Disentangled Representations
G. Valvano, A. Chartsias, A. Leo, S.A. Tsaftaris
MICCAI 2019, DART: Domain Adaptation and Representation Transfer
Preprint Code

32. Multimodal cardiac segmentation using disentangled representations
A. Chartsias, G. Papanastasiou, C. Wang, C. Stirrat, S. Semple, D. Newby, R. Dharmakumar, S.A. Tsaftaris
MICCAI 2019, STACOM: Statistical Atlases and Computational Models of the Heart
PDF Code

33. Consistent Brain Ageing Synthesis
T. Xia, A. Chartsias, S.A. Tsaftaris
MICCAI 2019
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34. Disentangled Representation Learning in Cardiac Image Analysis
A. Chartsias, T. Joyce, G. Papanastasiou, S. Semple, M. Williams, D. Newby, R. Dharmakumar, S.A. Tsaftaris
Medical Image Analysis, vol. 58, 2019
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35. Adversarial Pseudo Healthy Synthesis Needs Pathology Factorization
T. Xia, A. Chartsias, S.A. Tsaftaris
MIDL 2019
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36. Joint learning of motion estimation and segmentation for cardiac MR image sequences.
C. Qin, W. Bai, J. Schlemper, S. E. Petersen, S. K. Piechnik, S. Neubauer, and D. Rueckert
MICCAI 2018
Full Text Preprint Code Website

37. Factorised spatial representation learning: application in semi-supervised myocardial segmentation
A. Chartsias, T. Joyce, G. Papanastasiou, S. Semple, M. Williams, D. Newby, R. Dharmakumar, S.A. Tsaftaris
MICCAI 2018
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38. Leveraging multiple datasets for deep leaf counting
A. Dobrescu, M.V. Giuffrida, S.A. Tsaftaris
ICCV 2017, CVPPP: Computer Vision Problems in Plant Phenotyping
PDF Code

39. Multimodal MR Synthesis via Modality-Invariant Latent Representation
A. Chartsias, T. Joyce, V. Giuffrida, and S. A. Tsaftaris
IEEE Transactions on Medical Imaging, vol. 37, no. 3, pp. 803-814, 2018
Full Text PDF Code

40. Robust Multi-Modal MR Image Synthesis
T. Joyce, A. Chartsias, S.A. Tsaftaris
MICCAI 2017
PDF Code

41. Convolutional Recurrent Neural Networks for Dynamic MR Image Reconstruction
C. Qin, J. Schlemper, J. Caballero, A.N. Price, J.V. Hajnal, and D. Rueckert
IEEE Transactions on Medical Imaging, vol. 38, 2019
Full Text Preprint Code