Have You Forgotten? A Method to Assess if Machine Learning Models Have Forgotten Data. - Xiao Liu 037; Sotirios A. Tsaftaris (MICCAI (1), 2020)

Disentangled Representations for Domain-Generalized Cardiac Segmentation. - Xiao Liu 037; Spyridon Thermos; Agisilaos Chartsias; Alison O'Neil; Sotirios A. Tsaftaris (M&Ms and EMIDEC/STACOM@MICCAI, 2020)

Metrics for Exposing the Biases of Content-Style Disentanglement. - Xiao Liu 037; Spyridon Thermos; Gabriele Valvano; Agisilaos Chartsias; Alison O'Neil; Sotirios A. Tsaftaris (CoRR, 2020)

Measuring the Biases and Effectiveness of Content-Style Disentanglement. - Xiao Liu 037; Spyridon Thermos; Gabriele Valvano; Agisilaos Chartsias; Alison Q. O'Neil; Sotirios A. Tsaftaris (BMVC, 2021)

Semi-supervised Meta-learning with Disentanglement for Domain-Generalised Medical Image Segmentation. - Xiao Liu 037; Spyridon Thermos; Alison O'Neil; Sotirios A. Tsaftaris (MICCAI (2), 2021)

Controllable Cardiac Synthesis via Disentangled Anatomy Arithmetic. - Spyridon Thermos; Xiao Liu 037; Alison O'Neil; Sotirios A. Tsaftaris (MICCAI (3), 2021)

A Tutorial on Learning Disentangled Representations in the Imaging Domain. - Xiao Liu 037; Pedro Sanchez; Spyridon Thermos; Alison Q. O'Neil; Sotirios A. Tsaftaris (CoRR, 2021)

Multi-Centre, Multi-Vendor and Multi-Disease Cardiac Segmentation: The M&Ms Challenge. - Víctor M. Campello; Polyxeni Gkontra; Cristian Izquierdo; Carlos Martín-Isla; Alireza Sojoudi; Peter M. Full; Klaus H. Maier-Hein; Yao Zhang 010; Zhiqiang He 002; Jun Ma 016; Mario Parreño; Alberto Albiol; et al. (IEEE Trans. Medical Imaging, 2021)

Applying Disentanglement in the Medical Domain: An Introduction for the MAD Workshop. - Jana Fragemann; Xiao Liu 037; Jianning Li 002; Sotirios A. Tsaftaris; Jan Egger; Jens Kleesiek (MAD@MICCAI, 2022)

vMFNet: Compositionality Meets Domain-Generalised Segmentation. - Xiao Liu 037; Spyridon Thermos; Pedro Sanchez; Alison Q. O'Neil; Sotirios A. Tsaftaris (MICCAI (8), 2022)

HSIC-InfoGAN: Learning Unsupervised Disentangled Representations by Maximising Approximated Mutual Information. - Xiao Liu 037; Spyridon Thermos; Pedro Sanchez; Alison Q. O'Neil; Sotirios A. Tsaftaris (MAD@MICCAI, 2022)

What is Healthy? Generative Counterfactual Diffusion for Lesion Localization. - Pedro Sanchez; Antanas Kascenas; Xiao Liu 037; Alison Q. O'Neil; Sotirios A. Tsaftaris (DGM4MICCAI@MICCAI, 2022)

Why Patient Data Cannot Be Easily Forgotten? - Ruolin Su; Xiao Liu 037; Sotirios A. Tsaftaris (MICCAI (8), 2022)

Learning disentangled representations in the imaging domain. - Xiao Liu 037; Pedro Sanchez; Spyridon Thermos; Alison Q. O'Neil; Sotirios A. Tsaftaris (Medical Image Anal., 2022)

Diffusion Models for Causal Discovery via Topological Ordering. - Pedro Sanchez; Xiao Liu 037; Alison Q. O'Neil; Sotirios A. Tsaftaris (ICLR, 2023)

Compositional Representation Learning for Brain Tumour Segmentation. - Xiao Liu 037; Antanas Kascenas; Hannah Watson; Sotirios A. Tsaftaris; Alison Q. O'Neil (DART@MICCAI, 2023)

Group Distributionally Robust Knowledge Distillation. - Konstantinos Vilouras; Xiao Liu 037; Pedro Sanchez; Alison Q. O'Neil; Sotirios A. Tsaftaris (MLMI@MICCAI (2), 2023)

Compositionally Equivariant Representation Learning. - Xiao Liu 037; Pedro Sanchez; Spyridon Thermos; Alison Q. O'Neil; Sotirios A. Tsaftaris (IEEE Trans. Medical Imaging, 2024)