Agisilaos Chartsias
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
16
Venues
2
Active years
2017–2025
Best venue rank
A
Where they publish
Papers
16 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2025 | MICCAI | Learning to Stop: Reinforcement Learning for Efficient Patient-Level Echocardiographic Classification. | Woo-Jin Cho Kim, Jorge Oliveira, Arian Beqiri, Alexander Thorley, Jordan Strom, Jamie O'Driscoll, Rajan Sharma, Jeremy Slivnick, Roberto Lang, Alberto Gmez, Agisilaos Chartsias |
| 2024 | MICCAI | BackMix: Mitigating Shortcut Learning in Echocardiography with Minimal Supervision. | Kit Mills Bransby, Arian Beqiri, Woo-Jin Cho Kim, Jorge Oliveira, Agisilaos Chartsias, Alberto Gmez |
| 2024 | MICCAI | Multi-site Class-Incremental Learning with Weighted Experts in Echocardiography. | Kit Mills Bransby, Woo-Jin Cho Kim, Jorge Oliveira, Alexander Thorley, Arian Beqiri, Alberto Gmez, Agisilaos Chartsias |
| 2023 | MICCAI | Asymmetric Contour Uncertainty Estimation for Medical Image Segmentation. | Thierry Judge, Olivier Bernard, Woo-Jin Cho Kim, Alberto Gmez, Agisilaos Chartsias, Pierre-Marc Jodoin |
| 2022 | MICCAI | CRISP - Reliable Uncertainty Estimation for Medical Image Segmentation. | Thierry Judge, Olivier Bernard, Mihaela Porumb, Agisilaos Chartsias, Arian Beqiri, Pierre-Marc Jodoin |
| 2021 | BMVC | Measuring the Biases and Effectiveness of Content-Style Disentanglement. | Xiao Liu, Spyridon Thermos, Gabriele Valvano, Agisilaos Chartsias, Alison Q. O'Neil, Sotirios A. Tsaftaris |
| 2021 | MICCAI | Contrastive Learning for View Classification of Echocardiograms. | Agisilaos Chartsias, Shan Gao, Angela Mumith, Jorge Oliveira, Kanwal K. Bhatia, Bernhard Kainz, Arian Beqiri |
| 2020 | MICCAI | 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 |
| 2020 | MICCAI | Max-Fusion U-Net for Multi-modal Pathology Segmentation with Attention and Dynamic Resampling. | Haochuan Jiang, Chengjia Wang, Agisilaos Chartsias, Sotirios A. Tsaftaris |
| 2020 | MICCAI | Disentangled Representations for Domain-Generalized Cardiac Segmentation. | Xiao Liu, Spyridon Thermos, Agisilaos Chartsias, Alison O'Neil, Sotirios A. Tsaftaris |
| 2019 | MICCAI | 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 |
| 2019 | MICCAI | Temporal Consistency Objectives Regularize the Learning of Disentangled Representations. | Gabriele Valvano, Agisilaos Chartsias, Andrea Leo, Sotirios A. Tsaftaris |
| 2019 | MICCAI | Consistent Brain Ageing Synthesis. | Tian Xia, Agisilaos Chartsias, Sotirios A. Tsaftaris |
| 2018 | MICCAI | 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 |
| 2017 | MICCAI | Adversarial Image Synthesis for Unpaired Multi-modal Cardiac Data. | Agisilaos Chartsias, Thomas Joyce, Rohan Dharmakumar, Sotirios A. Tsaftaris |
| 2017 | MICCAI | Robust Multi-modal MR Image Synthesis. | Thomas Joyce, Agisilaos Chartsias, Sotirios A. Tsaftaris |