Xiao Liu

According to our database, Xiao Liu authored at least 18 papers between 2020 and 2023.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2023

Compositionally Equivariant Representation Learning.

Xiao Liu, Pedro Sanchez, Spyridon Thermos, Alison Q. O'Neil, Sotirios A. Tsaftaris

CoRR, 2023

Group Distributionally Robust Knowledge Distillation.

Konstantinos Vilouras, Xiao Liu, Pedro Sanchez, Alison Q. O'Neil, Sotirios A. Tsaftaris

Proceedings of the Machine Learning in Medical Imaging - 14th International Workshop, 2023

Compositional Representation Learning for Brain Tumour Segmentation.

Xiao Liu, Antanas Kascenas, Hannah Watson, Sotirios A. Tsaftaris, Alison Q. O'Neil

Proceedings of the Domain Adaptation and Representation Transfer - 5th MICCAI Workshop, 2023

Diffusion Models for Causal Discovery via Topological Ordering.

Pedro Sanchez, Xiao Liu, Alison Q. O'Neil, Sotirios A. Tsaftaris

Proceedings of the Eleventh International Conference on Learning Representations, 2023

2022

Learning disentangled representations in the imaging domain.

Xiao Liu, Pedro Sanchez, Spyridon Thermos, Alison Q. O'Neil, Sotirios A. Tsaftaris

Medical Image Anal., 2022

Why Patient Data Cannot Be Easily Forgotten?

Ruolin Su, Xiao Liu, Sotirios A. Tsaftaris

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022

What is Healthy? Generative Counterfactual Diffusion for Lesion Localization.

Pedro Sanchez, Antanas Kascenas, Xiao Liu, Alison Q. O'Neil, Sotirios A. Tsaftaris

Proceedings of the Deep Generative Models - Second MICCAI Workshop, 2022

HSIC-InfoGAN: Learning Unsupervised Disentangled Representations by Maximising Approximated Mutual Information.

Xiao Liu, Spyridon Thermos, Pedro Sanchez, Alison Q. O'Neil, Sotirios A. Tsaftaris

Proceedings of the Medical Applications with Disentanglements - First MICCAI Workshop, 2022

vMFNet: Compositionality Meets Domain-Generalised Segmentation.

Xiao Liu, Spyridon Thermos, Pedro Sanchez, Alison Q. O'Neil, Sotirios A. Tsaftaris

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022

Applying Disentanglement in the Medical Domain: An Introduction for the MAD Workshop.

Jana Fragemann, Xiao Liu, Jianning Li, Sotirios A. Tsaftaris, Jan Egger, Jens Kleesiek

Proceedings of the Medical Applications with Disentanglements - First MICCAI Workshop, 2022

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, Zhiqiang He, Jun Ma, Mario Parreño, Alberto Albiol, Fanwei Kong, Shawn C. Shadden, Jorge Corral Acero, Vaanathi Sundaresan, Mina Saber, Mustafa A. Alattar, Hongwei Li, Bjoern H. Menze, Firas Khader, Christoph Haarburger, Cian M. Scannell, Mitko Veta, Adam Carscadden, Kumaradevan Punithakumar, Xiao Liu, Sotirios A. Tsaftaris, Xiaoqiong Huang, Xin Yang, Lei Li, Xiahai Zhuang, David Viladés, Martín Luís Descalzo, Andrea Guala, Lucia La Mura, Matthias G. W. Friedrich, Ria Garg, Julie Lebel, Filipe Henriques, Mahir Karakas, Ersin Çavus, Steffen E. Petersen, Sergio Escalera, Santi Seguí, José F. Rodríguez Palomares, Karim Lekadir

IEEE Trans. Medical Imaging, 2021

A Tutorial on Learning Disentangled Representations in the Imaging Domain.

Xiao Liu, Pedro Sanchez, Spyridon Thermos, Alison Q. O'Neil, Sotirios A. Tsaftaris

CoRR, 2021

Controllable Cardiac Synthesis via Disentangled Anatomy Arithmetic.

Spyridon Thermos, Xiao Liu, Alison O'Neil, Sotirios A. Tsaftaris

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021

Semi-supervised Meta-learning with Disentanglement for Domain-Generalised Medical Image Segmentation.

Xiao Liu, Spyridon Thermos, Alison O'Neil, Sotirios A. Tsaftaris

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021

Measuring the Biases and Effectiveness of Content-Style Disentanglement.

Xiao Liu, Spyridon Thermos, Gabriele Valvano, Agisilaos Chartsias, Alison Q. O'Neil, Sotirios A. Tsaftaris

Proceedings of the 32nd British Machine Vision Conference 2021, 2021

2020

Metrics for Exposing the Biases of Content-Style Disentanglement.

Xiao Liu, Spyridon Thermos, Gabriele Valvano, Agisilaos Chartsias, Alison O'Neil, Sotirios A. Tsaftaris

CoRR, 2020

Disentangled Representations for Domain-Generalized Cardiac Segmentation.

Xiao Liu, Spyridon Thermos, Agisilaos Chartsias, Alison O'Neil, Sotirios A. Tsaftaris

Proceedings of the Statistical Atlases and Computational Models of the Heart. M&Ms and EMIDEC Challenges, 2020

Have You Forgotten? A Method to Assess if Machine Learning Models Have Forgotten Data.

Xiao Liu, Sotirios A. Tsaftaris

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020