Code and Data

1. CRCE: Coreference-Retention Concept Erasure in Text-to-Image Diffusion Models
Yuyang Xue, Edward Moroshko, Feng Chen, Steven McDonagh, Sotirios A Tsaftaris
BMVC 2025
Preprint Code Website

3. SWiFT: Soft-Mask Weight Fine-tuning for Bias Mitigation
Junyu Yan, Feng Chen, Yuyang Xue, Yuning Du, Konstantinos Vilouras, Sotirios A Tsaftaris, Steven McDonagh
Machine Learning for Biomedical Imaging, 3
Code Website

4. GMT: Guided Mask Transformer for Leaf Instance Segmentation
Feng Chen, Sotirios A Tsaftaris, Mario Valerio Giuffrida
WACV 2025
Code Website

5. Benchmarking counterfactual image generation
Thomas Melistas, Nikos Spyrou, Nefeli Gkouti, Pedro Sanchez, Athanasios Vlontzos, Yannis Panagakis, Giorgos Papanastasiou, Sotirios A Tsaftaris
NeurIPS 2025
Code Website

6. Unlocking the Potential of Weakly Labeled Data: A Co-Evolutionary Learning Framework for Abnormality Detection and Report Generation
Jinghan Sun, Dong Wei, Zhe Xu, Donghuan Lu, Hong Liu, Hong Wang, Sotirios A Tsaftaris, Steven McDonagh, Yefeng Zheng, Liansheng Wang
IEEE Transactions on Medical Imaging, 1--13
Code Website

7. Zero-shot medical phrase grounding with off-the-shelf diffusion models
Konstantinos Vilouras, Pedro Sanchez, Alison Q O'neil, Sotirios A Tsaftaris
IEEE Journal of Biomedical and Health Informatics, 1--13
Code Website

8. 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
Code Website

9. Erase to Enhance: Data-Efficient Machine Unlearning in MRI Reconstruction
Y Xue, J Liu, S McDonagh, SA Tsaftaris
MIDL 2024
Code Website

10. Inference Stage Denoising for Undersampled MRI Reconstruction
Y Xue, C Qin, SA Tsaftaris
ISBI 2024
Preprint Code Website

11. 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
Preprint Code Website

12. GaNDLF: The Generally Nuanced Deep Learning Framework for Scalable End-to-End Clinical Workflows
S. Pati, S.P. Thakur, İ. E. Hamamcı, U. Baid, B. Baheti, M. Bhalerao, O. Güley, S. Mouchtaris, D. Lang, S.A. Tsaftaris, et al.
Communications Engineering, vol. 2, no. 1, pp. 23, 2023
Preprint Code Website

13. Diffusion Models for Causal Discovery via Topological Ordering
P. Sanchez, X. Liu, A.Q. O'Neil, S.A. Tsaftaris
ICLR 2023
Preprint Code

14. Adversarial counterfactual augmentation: application in Alzheimer’s disease classification
T. Xia, P. Sanchez, C. Qin, S.A. Tsaftaris
Frontiers in Radiology, 2022
Code Website

15. vMFNet: Compositionality Meets Domain-generalised Segmentation
X. Liu, S. Thermos, P. Sanchez, A.Q. O'Neil, S.A. Tsaftaris
MICCAI 2022
Full Text Preprint Code

16. 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
Code Website

17. 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

18. 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

19. Diffusion Causal Models for Counterfactual Estimation
P. Sanchez, S.A. Tsaftaris
CLeaR 2022
Preprint Code

20. Measuring Unintended Memorisation of Unique Private Features in Neural Networks.
J. Hartley, S.A. Tsaftaris
2022
Preprint Code

21. Controllable cardiac synthesis via disentangled anatomy arithmetic
S. Thermos, X. Liu, A. O'Neil, S.A. Tsaftaris
MICCAI 2021
Preprint Code

22. Semi-supervised Meta-learning with Disentanglement for Domain-generalised Medical Image Segmentation
X. Liu, S. Thermos, A. O'Neil, S.A. Tsaftaris
MICCAI 2021
Preprint Code

23. Self-supervised Multi-scale Consistency for Weakly Supervised Segmentation Learning
G. Valvano, A. Leo, S.A. Tsaftaris
MICCAI workshop, 2021, DART
Preprint Code

24. Stop Throwing Away Discriminators! Re-using Adversaries for Test-Time Training
G. Valvano, A. Leo, S.A. Tsaftaris
MICCAI workshop, 2021, DART
Preprint Code

25. 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
Code Website

26. 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

27. 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
Preprint Code Website

28. 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

29. 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

30. 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

31. 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

32. 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

33. 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

34. Pseudo-healthy synthesis with pathology disentanglement and adversarial learning
T. Xia, A. Chartsias, S.A. Tsaftaris
Medical Image Analysis, vol. 64, 2020
Full Text Preprint Code

35. 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
Full Text Code

36. 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
Preprint Code

37. 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
Preprint Code

38. 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

39. 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

40. 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

41. Consistent Brain Ageing Synthesis
T. Xia, A. Chartsias, S.A. Tsaftaris
MICCAI 2019
PDF Code

42. 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
Full Text Preprint Code

43. Adversarial Pseudo Healthy Synthesis Needs Pathology Factorization
T. Xia, A. Chartsias, S.A. Tsaftaris
MIDL 2019
Full Text Code

44. 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
Preprint Code Website

45. 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
Preprint Code

46. 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

47. 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

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

49. 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
Preprint Code Website