Adversarial Image Synthesis for Unpaired Multi-modal Cardiac Data. - Agisilaos Chartsias; Thomas Joyce; Rohan Dharmakumar; Sotirios A. Tsaftaris (SASHIMI@MICCAI, 2017)

Robust Multi-modal MR Image Synthesis. - Thomas Joyce; Agisilaos Chartsias; Sotirios A. Tsaftaris (MICCAI (3), 2017)

Factorised Spatial Representation Learning: Application in Semi-supervised Myocardial Segmentation. - Agisilaos Chartsias; Thomas Joyce; Giorgos Papanastasiou; Scott Semple; Michelle C. Williams; David E. Newby; Rohan Dharmakumar; Sotirios A. Tsaftaris (MICCAI (2), 2018)

Multimodal MR Synthesis via Modality-Invariant Latent Representation. - Agisilaos Chartsias; Thomas Joyce; Mario Valerio Giuffrida; Sotirios A. Tsaftaris (IEEE Trans. Medical Imaging, 2018)

Multimodal Cardiac Segmentation Using Disentangled Representation Learning. - Agisilaos Chartsias; Giorgos Papanastasiou; Chengjia Wang; Colin Stirrat; Scott Semple; David E. Newby; Rohan Dharmakumar; Sotirios A. Tsaftaris (STACOM@MICCAI, 2019)

Temporal Consistency Objectives Regularize the Learning of Disentangled Representations. - Gabriele Valvano; Agisilaos Chartsias; Andrea Leo; Sotirios A. Tsaftaris (DART/MIL3ID@MICCAI, 2019)

Consistent Brain Ageing Synthesis. - Tian Xia; Agisilaos Chartsias; Sotirios A. Tsaftaris (MICCAI (4), 2019)

Adversarial Pseudo Healthy Synthesis Needs Pathology Factorization. - Tian Xia; Agisilaos Chartsias; Sotirios A. Tsaftaris (MIDL, 2019)

Factorised Representation Learning in Cardiac Image Analysis. - Agisilaos Chartsias; Thomas Joyce; Giorgos Papanastasiou; Michelle C. Williams; David E. Newby; Rohan Dharmakumar; Sotirios A. Tsaftaris (CoRR, 2019)

FIRE: Unsupervised bi-directional inter-modality registration using deep networks. - Chengjia Wang; Giorgos Papanastasiou; Agisilaos Chartsias; Grzegorz Jacenkow; Sotirios A. Tsaftaris; Heye Zhang (CoRR, 2019)

Disentangle, align and fuse for multimodal and zero-shot image segmentation. - Agisilaos Chartsias; Giorgos Papanastasiou; Chengjia Wang; Scott Semple; David E. Newby; Rohan Dharmakumar; Sotirios A. Tsaftaris (CoRR, 2019)

Learning to synthesise the ageing brain without longitudinal data. - Tian Xia; Agisilaos Chartsias; Chengjia Wang; Sotirios A. Tsaftaris (CoRR, 2019)

Disentangled representation learning in cardiac image analysis. - Agisilaos Chartsias; Thomas Joyce; Giorgos Papanastasiou; Scott Semple; Michelle C. Williams; David E. Newby; Rohan Dharmakumar; Sotirios A. Tsaftaris (Medical Image Anal., 2019)

Semi-supervised Pathology Segmentation with Disentangled Representations. - Haochuan Jiang; Agisilaos Chartsias; Xinheng Zhang; Giorgos Papanastasiou; Scott Semple; Mark R. Dweck; David Semple; Rohan Dharmakumar; Sotirios A. Tsaftaris (DART/DCL@MICCAI, 2020)

Max-Fusion U-Net for Multi-modal Pathology Segmentation with Attention and Dynamic Resampling. - Haochuan Jiang; Chengjia Wang; Agisilaos Chartsias; Sotirios A. Tsaftaris (MyoPS@MICCAI, 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)

Pseudo-healthy synthesis with pathology disentanglement and adversarial learning. - Tian Xia; Agisilaos Chartsias; Sotirios A. Tsaftaris (Medical Image Anal., 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)

Contrastive Learning for View Classification of Echocardiograms. - Agisilaos Chartsias; Shan Gao; Angela Mumith; Jorge Oliveira; Kanwal K. Bhatia; Bernhard Kainz; Arian Beqiri (ASMUS@MICCAI, 2021)

Learning to synthesise the ageing brain without longitudinal data. - Tian Xia; Agisilaos Chartsias; Chengjia Wang; Sotirios A. Tsaftaris; Alzheimer's Disease Neuroimaging Initiative (Medical Image Anal., 2021)

Disentangle, Align and Fuse for Multimodal and Semi-Supervised Image Segmentation. - Agisilaos Chartsias; Giorgos Papanastasiou; Chengjia Wang; Scott Semple; David E. Newby; Rohan Dharmakumar; Sotirios A. Tsaftaris (IEEE Trans. Medical Imaging, 2021)

Left Ventricle Contouring of Apical Three-Chamber Views on 2D Echocardiography. - Alberto Gómez 002; Mihaela Porumb; Angela Mumith; Thierry Judge; Shan Gao; Woo-Jin Cho Kim; Jorge Oliveira; Agis Chartsias (ASMUS@MICCAI, 2022)

CRISP - Reliable Uncertainty Estimation for Medical Image Segmentation. - Thierry Judge; Olivier Bernard 001; Mihaela Porumb; Agisilaos Chartsias; Arian Beqiri; Pierre-Marc Jodoin (MICCAI (8), 2022)

Asymmetric Contour Uncertainty Estimation for Medical Image Segmentation. - Thierry Judge; Olivier Bernard 001; Woo-Jin Cho Kim; Alberto Gómez 002; Agisilaos Chartsias; Pierre-Marc Jodoin (MICCAI (3), 2023)

BackMix: Mitigating Shortcut Learning in Echocardiography with Minimal Supervision. - Kit Mills Bransby; Arian Beqiri; Woo-Jin Cho Kim; Jorge Oliveira; Agisilaos Chartsias; Alberto Gómez 002 (MICCAI (4), 2024)

Multi-site Class-Incremental Learning with Weighted Experts in Echocardiography. - Kit Mills Bransby; Woo-Jin Cho Kim; Jorge Oliveira; Alexander Thorley; Arian Beqiri; Alberto Gómez 002; Agisilaos Chartsias (ASMUS@MICCAI, 2024)

Uncertainty Propagation for Echocardiography Clinical Metric Estimation via Contour Sampling. - Thierry Judge; Olivier Bernard 001; Woo-Jin Cho Kim; Alberto Gómez 002; Arian Beqiri; Agisilaos Chartsias; Pierre-Marc Jodoin (CoRR, 2025)