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Athanasios Vlontzos

Non-parametric identifiability and sensitivity analysis of synthetic control models

Jan 18, 2023
Jakob Zeitler, Athanasios Vlontzos, Ciaran M. Gilligan-Lee

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* Accepted at Causal Learning and Reasoning Conference (CLeaR) 2023

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Self-Supervised 3D Human Pose Estimation in Static Video Via Neural Rendering

Oct 10, 2022
Luca Schmidtke, Benjamin Hou, Athanasios Vlontzos, Bernhard Kainz

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* CV4Metaverse Workshop @ ECCV 2022

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Adnexal Mass Segmentation with Ultrasound Data Synthesis

Sep 25, 2022
Clara Lebbos, Jen Barcroft, Jeremy Tan, Johanna P. Muller, Matthew Baugh, Athanasios Vlontzos, Srdjan Saso, Bernhard Kainz

* ASMUS 2022, LNCS 13565, p. 106, 2022

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nnOOD: A Framework for Benchmarking Self-supervised Anomaly Localisation Methods

Sep 02, 2022
Matthew Baugh, Jeremy Tan, Athanasios Vlontzos, Johanna P. Müller, Bernhard Kainz

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* Accepted as Spotlight to UNSURE 2022, a workshop at MICCAI 2022

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A Review of Causality for Learning Algorithms in Medical Image Analysis

Jun 11, 2022
Athanasios Vlontzos, Daniel Rueckert, Bernhard Kainz

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* 12 pages

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Is More Data All You Need? A Causal Exploration

Jun 06, 2022
Athanasios Vlontzos, Hadrien Reynaud, Bernhard Kainz

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* 10 pages

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D'ARTAGNAN: Counterfactual Video Generation

Jun 03, 2022
Hadrien Reynaud, Athanasios Vlontzos, Mischa Dombrowski, Ciarán Lee, Arian Beqiri, Paul Leeson, Bernhard Kainz

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* Accepted for MICCAI 2022

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Estimating the probabilities of causation via deep monotonic twin networks

Sep 07, 2021
Athanasios Vlontzos, Bernhard Kainz, Ciaran M. Gilligan-Lee

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* 7 pages + appendix

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Ultrasound Video Transformers for Cardiac Ejection Fraction Estimation

Jul 02, 2021
Hadrien Reynaud, Athanasios Vlontzos, Benjamin Hou, Arian Beqiri, Paul Leeson, Bernhard Kainz

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* Accepted for MICCAI 2021

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