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2020 – today
- 2024
[c8]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- [c7]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 - [i10]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) - [i9]Jack Highton, Quok Zong Chong, Samuel Finestone, Arian Beqiri, Julia A. Schnabel, Kanwal K. Bhatia:
Robustness Testing of Black-Box Models Against CT Degradation Through Test-Time Augmentation. CoRR abs/2406.19557 (2024) - [i8]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) - [i7]David Stojanovski, Mariana da Silva, Pablo Lamata, Arian Beqiri, Alberto Gómez:
Efficient Semantic Diffusion Architectures for Model Training on Synthetic Echocardiograms. CoRR abs/2409.19371 (2024) - 2023
- [c6]David Stojanovski
, Uxio Hermida, Pablo Lamata, Arian Beqiri, Alberto Gómez:
Echo from Noise: Synthetic Ultrasound Image Generation Using Diffusion Models for Real Image Segmentation. ASMUS@MICCAI 2023: 34-43 - [i6]David Stojanovski, Uxio Hermida, Pablo Lamata, Arian Beqiri, Alberto Gómez:
Echo from noise: synthetic ultrasound image generation using diffusion models for real image segmentation. CoRR abs/2305.05424 (2023) - 2022
- [c5]David Stojanovski, Uxio Hermida, Marica Muffoletto, Pablo Lamata, Arian Beqiri, Alberto Gómez:
Efficient Pix2Vox++ for 3D Cardiac Reconstruction from 2D Echo Views. ASMUS@MICCAI 2022: 86-95 - [c4]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 - [c3]Hadrien Reynaud, Athanasios Vlontzos, Mischa Dombrowski, Ciarán M. Gilligan-Lee, Arian Beqiri, Paul Leeson, Bernhard Kainz:
D'ARTAGNAN: Counterfactual Video Generation. MICCAI (8) 2022: 599-609 - [i5]Hadrien Reynaud, Athanasios Vlontzos, Mischa Dombrowski, Ciarán M. Gilligan-Lee, Arian Beqiri, Paul Leeson, Bernhard Kainz:
D'ARTAGNAN: Counterfactual Video Generation. CoRR abs/2206.01651 (2022) - [i4]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) - [i3]David Stojanovski, Uxio Hermida, Marica Muffoletto, Pablo Lamata, Arian Beqiri, Alberto Gómez:
Efficient Pix2Vox++ for 3D Cardiac Reconstruction from 2D echo views. CoRR abs/2207.13424 (2022) - 2021
- [c2]Agisilaos Chartsias, Shan Gao, Angela Mumith, Jorge Oliveira, Kanwal K. Bhatia, Bernhard Kainz, Arian Beqiri:
Contrastive Learning for View Classification of Echocardiograms. ASMUS@MICCAI 2021: 149-158 - [c1]Hadrien Reynaud, Athanasios Vlontzos, Benjamin Hou, Arian Beqiri, Paul Leeson, Bernhard Kainz:
Ultrasound Video Transformers for Cardiac Ejection Fraction Estimation. MICCAI (6) 2021: 495-505 - [i2]Hadrien Reynaud, Athanasios Vlontzos, Benjamin Hou, Arian Beqiri, Paul Leeson, Bernhard Kainz:
Ultrasound Video Transformers for Cardiac Ejection Fraction Estimation. CoRR abs/2107.00977 (2021) - [i1]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)
Coauthor Index
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