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Agisilaos Chartsias
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2020 – today
- 2024
- [c17]Kit Mills Bransby, Woo-Jin Cho Kim, Jorge Oliveira, Alexander Thorley, Arian Beqiri, Alberto Gómez, Agisilaos Chartsias:
Multi-site Class-Incremental Learning with Weighted Experts in Echocardiography. ASMUS@MICCAI 2024: 157-166 - [c16]Kit Mills Bransby, Arian Beqiri, Woo-Jin Cho Kim, Jorge Oliveira, Agisilaos Chartsias, Alberto Gómez:
BackMix: Mitigating Shortcut Learning in Echocardiography with Minimal Supervision. MICCAI (4) 2024: 570-579 - [i17]Kit Mills Bransby, Arian Beqiri, Woo-Jin Cho Kim, Jorge Oliveira, Agisilaos Chartsias, Alberto Gómez:
BackMix: Mitigating Shortcut Learning in Echocardiography with Minimal Supervision. CoRR abs/2406.19148 (2024) - [i16]Kit Mills Bransby, Woo-Jin Cho Kim, Jorge Oliveira, Alexander Thorley, Arian Beqiri, Alberto Gómez, Agisilaos Chartsias:
Multi-Site Class-Incremental Learning with Weighted Experts in Echocardiography. CoRR abs/2407.21577 (2024) - 2023
- [c15]Thierry Judge, Olivier Bernard, Woo-Jin Cho Kim, Alberto Gómez, Agisilaos Chartsias, Pierre-Marc Jodoin:
Asymmetric Contour Uncertainty Estimation for Medical Image Segmentation. MICCAI (3) 2023: 210-220 - 2022
- [c14]Alberto Gómez
, Mihaela Porumb, Angela Mumith, Thierry Judge, Shan Gao, Woo-Jin Cho Kim, Jorge Oliveira, Agis Chartsias:
Left Ventricle Contouring of Apical Three-Chamber Views on 2D Echocardiography. ASMUS@MICCAI 2022: 96-105 - [c13]Thierry Judge, Olivier Bernard, Mihaela Porumb, Agisilaos Chartsias, Arian Beqiri, Pierre-Marc Jodoin:
CRISP - Reliable Uncertainty Estimation for Medical Image Segmentation. MICCAI (8) 2022: 492-502 - [i15]Thierry Judge, Olivier Bernard, Mihaela Porumb, Agis Chartsias, Arian Beqiri, Pierre-Marc Jodoin:
CRISP - Reliable Uncertainty Estimation for Medical Image Segmentation. CoRR abs/2206.07664 (2022) - [i14]Alberto Gómez, Mihaela Porumb, Angela Mumith, Thierry Judge, Shan Gao, Woo-Jin Cho Kim, Jorge Oliveira, Agis Chartsias:
Left Ventricle Contouring of Apical Three-Chamber Views on 2D Echocardiography. CoRR abs/2207.06330 (2022) - 2021
- [j5]Tian Xia, Agisilaos Chartsias, Chengjia Wang, Sotirios A. Tsaftaris, Alzheimer's Disease Neuroimaging Initiative:
Learning to synthesise the ageing brain without longitudinal data. Medical Image Anal. 73: 102169 (2021) - [j4]Agisilaos Chartsias
Disentangle, Align and Fuse for Multimodal and Semi-Supervised Image Segmentation. IEEE Trans. Medical Imaging 40(3): 781-792 (2021) - [c12]Xiao Liu, Spyridon Thermos, Gabriele Valvano, Agisilaos Chartsias, Alison Q. O'Neil, Sotirios A. Tsaftaris:
Measuring the Biases and Effectiveness of Content-Style Disentanglement. BMVC 2021: 124 - [c11]Agisilaos Chartsias, Shan Gao, Angela Mumith, Jorge Oliveira, Kanwal K. Bhatia, Bernhard Kainz
Contrastive Learning for View Classification of Echocardiograms. ASMUS@MICCAI 2021: 149-158 - [i13]Agisilaos Chartsias, Shan Gao, Angela Mumith, Jorge Oliveira, Kanwal K. Bhatia, Bernhard Kainz, Arian Beqiri:
Contrastive Learning for View Classification of Echocardiograms. CoRR abs/2108.03124 (2021) - 2020
- [j3]Tian Xia
Pseudo-healthy synthesis with pathology disentanglement and adversarial learning. Medical Image Anal. 64: 101719 (2020) - [c10]Haochuan Jiang, Agisilaos Chartsias, Xinheng Zhang, Giorgos Papanastasiou
Semi-supervised Pathology Segmentation with Disentangled Representations. DART/DCL@MICCAI 2020: 62-72 - [c9]Haochuan Jiang, Chengjia Wang, Agisilaos Chartsias, Sotirios A. Tsaftaris:
Max-Fusion U-Net for Multi-modal Pathology Segmentation with Attention and Dynamic Resampling. MyoPS@MICCAI 2020: 68-81 - [c8]Xiao Liu, Spyridon Thermos, Agisilaos Chartsias, Alison O'Neil, Sotirios A. Tsaftaris:
Disentangled Representations for Domain-Generalized Cardiac Segmentation. M&Ms and EMIDEC/STACOM@MICCAI 2020: 187-195 - [i12]Tian Xia, Agisilaos Chartsias, Sotirios A. Tsaftaris:
Pseudo-healthy synthesis with pathology disentanglement and adversarial learning. CoRR abs/2005.01607 (2020) - [i11]Xiao Liu, Spyridon Thermos, Agisilaos Chartsias, Alison O'Neil, Sotirios A. Tsaftaris:
Disentangled Representations for Domain-generalized Cardiac Segmentation. CoRR abs/2008.11514 (2020) - [i10]Xiao Liu, Spyridon Thermos, Gabriele Valvano, Agisilaos Chartsias, Alison O'Neil, Sotirios A. Tsaftaris:
Metrics for Exposing the Biases of Content-Style Disentanglement. CoRR abs/2008.12378 (2020) - [i9]Haochuan Jiang, Agisilaos Chartsias, Xinheng Zhang, Giorgos Papanastasiou, Scott Semple, Mark R. Dweck, David Semple, Rohan Dharmakumar, Sotirios A. Tsaftaris:
Semi-supervised Pathology Segmentation with Disentangled Representations. CoRR abs/2009.02564 (2020) - [i8]Haochuan Jiang, Chengjia Wang, Agisilaos Chartsias, Sotirios A. Tsaftaris:
Max-Fusion U-Net for Multi-Modal Pathology Segmentation with Attention and Dynamic Resampling. CoRR abs/2009.02569 (2020)
2010 – 2019
- 2019
- [j2]Agisilaos Chartsias
Disentangled representation learning in cardiac image analysis. Medical Image Anal. 58 (2019) - [c7]Gabriele Valvano, Agisilaos Chartsias, Andrea Leo, Sotirios A. Tsaftaris:
Temporal Consistency Objectives Regularize the Learning of Disentangled Representations. DART/MIL3ID@MICCAI 2019: 11-19 - [c6]Agisilaos Chartsias, Giorgos Papanastasiou
Multimodal Cardiac Segmentation Using Disentangled Representation Learning. STACOM@MICCAI 2019: 128-137 - [c5]Tian Xia, Agisilaos Chartsias, Sotirios A. Tsaftaris:
Consistent Brain Ageing Synthesis. MICCAI (4) 2019: 750-758 - [c4]Tian Xia, Agisilaos Chartsias, Sotirios A. Tsaftaris:
Adversarial Pseudo Healthy Synthesis Needs Pathology Factorization. MIDL 2019: 512-526 - [i7]Tian Xia, Agisilaos Chartsias, Sotirios A. Tsaftaris:
Adversarial Pseudo Healthy Synthesis Needs Pathology Factorization. CoRR abs/1901.07295 (2019) - [i6]Agisilaos Chartsias, Thomas Joyce, Giorgos Papanastasiou, Michelle C. Williams, David E. Newby, Rohan Dharmakumar, Sotirios A. Tsaftaris:
Factorised Representation Learning in Cardiac Image Analysis. CoRR abs/1903.09467 (2019) - [i5]Chengjia Wang, Giorgos Papanastasiou, Agisilaos Chartsias, Grzegorz Jacenkow, Sotirios A. Tsaftaris, Heye Zhang:
FIRE: Unsupervised bi-directional inter-modality registration using deep networks. CoRR abs/1907.05062 (2019) - [i4]Gabriele Valvano
Temporal Consistency Objectives Regularize the Learning of Disentangled Representations. CoRR abs/1908.11330 (2019) - [i3]Agisilaos Chartsias, Giorgos Papanastasiou, Chengjia Wang, Scott Semple, David E. Newby, Rohan Dharmakumar, Sotirios A. Tsaftaris:
Disentangle, align and fuse for multimodal and zero-shot image segmentation. CoRR abs/1911.04417 (2019) - [i2]Tian Xia, Agisilaos Chartsias, Chengjia Wang, Sotirios A. Tsaftaris:
Learning to synthesise the ageing brain without longitudinal data. CoRR abs/1912.02620 (2019) - 2018
- [j1]Agisilaos Chartsias
Multimodal MR Synthesis via Modality-Invariant Latent Representation. IEEE Trans. Medical Imaging 37(3): 803-814 (2018) - [c3]Agisilaos Chartsias, Thomas Joyce, Giorgos Papanastasiou
Factorised Spatial Representation Learning: Application in Semi-supervised Myocardial Segmentation. MICCAI (2) 2018: 490-498 - [i1]Agisilaos Chartsias, Thomas Joyce, Giorgos Papanastasiou, Scott Semple, Michelle C. Williams, David E. Newby, Rohan Dharmakumar, Sotirios A. Tsaftaris:
Factorised spatial representation learning: application in semi-supervised myocardial segmentation. CoRR abs/1803.07031 (2018) - 2017
- [c2]Agisilaos Chartsias, Thomas Joyce, Rohan Dharmakumar, Sotirios A. Tsaftaris:
Adversarial Image Synthesis for Unpaired Multi-modal Cardiac Data. SASHIMI@MICCAI 2017: 3-13 - [c1]Thomas Joyce, Agisilaos Chartsias, Sotirios A. Tsaftaris:
Robust Multi-modal MR Image Synthesis. MICCAI (3) 2017: 347-355
Coauthor Index
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