Agisilaos Chartsias

39 papers A 1Journal 22Unranked 16

Year	Rank	Type	Title / Venue / Authors
2025	—	`conf`	Learning to Stop: Reinforcement Learning for Efficient Patient-Level Echocardiographic Classification. ASMUS@MICCAI Woo-Jin Cho Kim, Jorge Oliveira, Arian Beqiri, Alexander Thorley, Jordan Strom, Jamie O'Driscoll, Rajan Sharma, Jeremy Slivnick, Roberto Lang, Alberto Gómez, Agisilaos Chartsias
2025	J	`jnl`	Learning to Stop: Reinforcement Learning for Efficient Patient-Level Echocardiographic Classification. CoRR Woo-Jin Cho Kim, Jorge Oliveira, Arian Beqiri, Alexander Thorley, Jordan Strom, Jamie O'Driscoll, Rajan Sharma, Jeremy Slivnick, Roberto Lang, Alberto Gómez, Agisilaos Chartsias
2025	J	`jnl`	Uncertainty Propagation for Echocardiography Clinical Metric Estimation via Contour Sampling. CoRR Thierry Judge, Olivier Bernard, Woo-Jin Cho Kim, Alberto Gómez, Arian Beqiri, Agisilaos Chartsias, Pierre-Marc Jodoin
2024	—	`conf`	BackMix: Mitigating Shortcut Learning in Echocardiography with Minimal Supervision. MICCAI (4) Kit Mills Bransby, Arian Beqiri, Woo-Jin Cho Kim, Jorge Oliveira, Agisilaos Chartsias, Alberto Gómez
2024	J	`jnl`	BackMix: Mitigating Shortcut Learning in Echocardiography with Minimal Supervision. CoRR Kit Mills Bransby, Arian Beqiri, Woo-Jin Cho Kim, Jorge Oliveira, Agisilaos Chartsias, Alberto Gómez
2024	J	`jnl`	Multi-Site Class-Incremental Learning with Weighted Experts in Echocardiography. CoRR Kit Mills Bransby, Woo-Jin Cho Kim, Jorge Oliveira, Alexander Thorley, Arian Beqiri, Alberto Gómez, Agisilaos Chartsias
2024	—	`conf`	Multi-site Class-Incremental Learning with Weighted Experts in Echocardiography. ASMUS@MICCAI Kit Mills Bransby, Woo-Jin Cho Kim, Jorge Oliveira, Alexander Thorley, Arian Beqiri, Alberto Gómez, Agisilaos Chartsias
2023	—	`conf`	Asymmetric Contour Uncertainty Estimation for Medical Image Segmentation. MICCAI (3) Thierry Judge, Olivier Bernard, Woo-Jin Cho Kim, Alberto Gómez, Agisilaos Chartsias, Pierre-Marc Jodoin
2022	—	`conf`	CRISP - Reliable Uncertainty Estimation for Medical Image Segmentation. MICCAI (8) Thierry Judge, Olivier Bernard, Mihaela Porumb, Agisilaos Chartsias, Arian Beqiri, Pierre-Marc Jodoin
2021	—	`conf`	Contrastive Learning for View Classification of Echocardiograms. ASMUS@MICCAI Agisilaos Chartsias, Shan Gao, Angela Mumith, Jorge Oliveira, Kanwal K. Bhatia, Bernhard Kainz, Arian Beqiri
2021	J	`jnl`	Contrastive Learning for View Classification of Echocardiograms. CoRR Agisilaos Chartsias, Shan Gao, Angela Mumith, Jorge Oliveira, Kanwal K. Bhatia, Bernhard Kainz, Arian Beqiri
2021	J	`jnl`	Disentangle, Align and Fuse for Multimodal and Semi-Supervised Image Segmentation. IEEE Trans. Medical Imaging Agisilaos Chartsias, Giorgos Papanastasiou, Chengjia Wang, Scott Semple, David E. Newby, Rohan Dharmakumar, Sotirios A. Tsaftaris
2021	J	`jnl`	Learning to synthesise the ageing brain without longitudinal data. Medical Image Anal. Tian Xia, Agisilaos Chartsias, Chengjia Wang, Sotirios A. Tsaftaris, Alzheimer's Disease Neuroimaging Initiative
2021	A	`conf`	Measuring the Biases and Effectiveness of Content-Style Disentanglement. BMVC Xiao Liu, Spyridon Thermos, Gabriele Valvano, Agisilaos Chartsias, Alison Q. O'Neil, Sotirios A. Tsaftaris
2020	—	`conf`	Disentangled Representations for Domain-Generalized Cardiac Segmentation. M&Ms and EMIDEC/STACOM@MICCAI Xiao Liu, Spyridon Thermos, Agisilaos Chartsias, Alison O'Neil, Sotirios A. Tsaftaris
2020	J	`jnl`	Disentangled Representations for Domain-generalized Cardiac Segmentation. CoRR Xiao Liu, Spyridon Thermos, Agisilaos Chartsias, Alison O'Neil, Sotirios A. Tsaftaris
2020	J	`jnl`	Max-Fusion U-Net for Multi-Modal Pathology Segmentation with Attention and Dynamic Resampling. CoRR Haochuan Jiang, Chengjia Wang, Agisilaos Chartsias, Sotirios A. Tsaftaris
2020	—	`conf`	Max-Fusion U-Net for Multi-modal Pathology Segmentation with Attention and Dynamic Resampling. MyoPS@MICCAI Haochuan Jiang, Chengjia Wang, Agisilaos Chartsias, Sotirios A. Tsaftaris
2020	J	`jnl`	Metrics for Exposing the Biases of Content-Style Disentanglement. CoRR Xiao Liu, Spyridon Thermos, Gabriele Valvano, Agisilaos Chartsias, Alison O'Neil, Sotirios A. Tsaftaris
2020	J	`jnl`	Pseudo-healthy synthesis with pathology disentanglement and adversarial learning. CoRR Tian Xia, Agisilaos Chartsias, Sotirios A. Tsaftaris
2020	J	`jnl`	Pseudo-healthy synthesis with pathology disentanglement and adversarial learning. Medical Image Anal. Tian Xia, Agisilaos Chartsias, Sotirios A. Tsaftaris
2020	—	`conf`	Semi-supervised Pathology Segmentation with Disentangled Representations. DART/DCL@MICCAI Haochuan Jiang, Agisilaos Chartsias, Xinheng Zhang, Giorgos Papanastasiou, Scott Semple, Mark R. Dweck, David Semple, Rohan Dharmakumar, Sotirios A. Tsaftaris
2020	J	`jnl`	Semi-supervised Pathology Segmentation with Disentangled Representations. CoRR Haochuan Jiang, Agisilaos Chartsias, Xinheng Zhang, Giorgos Papanastasiou, Scott Semple, Mark R. Dweck, David Semple, Rohan Dharmakumar, Sotirios A. Tsaftaris
2019	—	`conf`	Adversarial Pseudo Healthy Synthesis Needs Pathology Factorization. MIDL Tian Xia, Agisilaos Chartsias, Sotirios A. Tsaftaris
2019	J	`jnl`	Adversarial Pseudo Healthy Synthesis Needs Pathology Factorization. CoRR Tian Xia, Agisilaos Chartsias, Sotirios A. Tsaftaris
2019	—	`conf`	Consistent Brain Ageing Synthesis. MICCAI (4) Tian Xia, Agisilaos Chartsias, Sotirios A. Tsaftaris
2019	J	`jnl`	Disentangle, align and fuse for multimodal and zero-shot image segmentation. CoRR Agisilaos Chartsias, Giorgos Papanastasiou, Chengjia Wang, Scott Semple, David E. Newby, Rohan Dharmakumar, Sotirios A. Tsaftaris
2019	J	`jnl`	Disentangled representation learning in cardiac image analysis. Medical Image Anal. Agisilaos Chartsias, Thomas Joyce, Giorgos Papanastasiou, Scott Semple, Michelle C. Williams, David E. Newby, Rohan Dharmakumar, Sotirios A. Tsaftaris
2019	J	`jnl`	FIRE: Unsupervised bi-directional inter-modality registration using deep networks. CoRR Chengjia Wang, Giorgos Papanastasiou, Agisilaos Chartsias, Grzegorz Jacenkow, Sotirios A. Tsaftaris, Heye Zhang
2019	J	`jnl`	Factorised Representation Learning in Cardiac Image Analysis. CoRR Agisilaos Chartsias, Thomas Joyce, Giorgos Papanastasiou, Michelle C. Williams, David E. Newby, Rohan Dharmakumar, Sotirios A. Tsaftaris
2019	J	`jnl`	Learning to synthesise the ageing brain without longitudinal data. CoRR Tian Xia, Agisilaos Chartsias, Chengjia Wang, Sotirios A. Tsaftaris
2019	—	`conf`	Multimodal Cardiac Segmentation Using Disentangled Representation Learning. STACOM@MICCAI Agisilaos Chartsias, Giorgos Papanastasiou, Chengjia Wang, Colin Stirrat, Scott Semple, David E. Newby, Rohan Dharmakumar, Sotirios A. Tsaftaris
2019	—	`conf`	Temporal Consistency Objectives Regularize the Learning of Disentangled Representations. DART/MIL3ID@MICCAI Gabriele Valvano, Agisilaos Chartsias, Andrea Leo, Sotirios A. Tsaftaris
2019	J	`jnl`	Temporal Consistency Objectives Regularize the Learning of Disentangled Representations. CoRR Gabriele Valvano, Agisilaos Chartsias, Andrea Leo, Sotirios A. Tsaftaris
2018	—	`conf`	Factorised Spatial Representation Learning: Application in Semi-supervised Myocardial Segmentation. MICCAI (2) Agisilaos Chartsias, Thomas Joyce, Giorgos Papanastasiou, Scott Semple, Michelle C. Williams, David E. Newby, Rohan Dharmakumar, Sotirios A. Tsaftaris
2018	J	`jnl`	Factorised spatial representation learning: application in semi-supervised myocardial segmentation. CoRR Agisilaos Chartsias, Thomas Joyce, Giorgos Papanastasiou, Scott Semple, Michelle C. Williams, David E. Newby, Rohan Dharmakumar, Sotirios A. Tsaftaris
2018	J	`jnl`	Multimodal MR Synthesis via Modality-Invariant Latent Representation. IEEE Trans. Medical Imaging Agisilaos Chartsias, Thomas Joyce, Mario Valerio Giuffrida, Sotirios A. Tsaftaris
2017	—	`conf`	Adversarial Image Synthesis for Unpaired Multi-modal Cardiac Data. SASHIMI@MICCAI Agisilaos Chartsias, Thomas Joyce, Rohan Dharmakumar, Sotirios A. Tsaftaris
2017	—	`conf`	Robust Multi-modal MR Image Synthesis. MICCAI (3) Thomas Joyce, Agisilaos Chartsias, Sotirios A. Tsaftaris