Athanasios Vlontzos

47 papers A* 2A 2B 1Journal 30Unranked 12

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Causally Steered Diffusion for Automated Video Counterfactual Generation. CoRR Nikos Spyrou, Athanasios Vlontzos, Paraskevas Pegios, Thomas Melistas, Nefeli Gkouti, Yannis Panagakis, Giorgos Papanastasiou, Sotirios A. Tsaftaris
2025	A	`conf`	The Hardness of Validating Observational Studies with Experimental Data. AISTATS Jake Fawkes, Michael O'Riordan, Athanasios Vlontzos, Oriol Corcoll, Ciarán Mark Gilligan-Lee
2025	J	`jnl`	The Hardness of Validating Observational Studies with Experimental Data. CoRR Jake Fawkes, Michael O'Riordan, Athanasios Vlontzos, Oriol Corcoll, Ciarán Mark Gilligan-Lee
2024	A*	`conf`	Benchmarking Counterfactual Image Generation. NeurIPS Thomas Melistas, Nikos Spyrou, Nefeli Gkouti, Pedro Sanchez, Athanasios Vlontzos, Yannis Panagakis, Giorgos Papanastasiou, Sotirios A. Tsaftaris
2024	J	`jnl`	Benchmarking Counterfactual Image Generation. CoRR Thomas Melistas, Nikos Spyrou, Nefeli Gkouti, Pedro Sanchez, Athanasios Vlontzos, Giorgos Papanastasiou, Sotirios A. Tsaftaris
2024	J	`jnl`	Contrastive representations of high-dimensional, structured treatments. CoRR Oriol Corcoll, Athanasios Vlontzos, Michael O'Riordan, Ciarán M. Gilligan-Lee
2024	—	`conf`	Unsupervised Similarity Learning for Image Registration with Energy-Based Models. WBIR Daniel Grzech, Loïc Le Folgoc, Mohammad Farid Azampour, Athanasios Vlontzos, Ben Glocker, Nassir Navab, Julia A. Schnabel, Bernhard Kainz
2023	J	`jnl`	Estimating categorical counterfactuals via deep twin networks. Nat. Mac. Intell. Athanasios Vlontzos, Bernhard Kainz, Ciarán M. Gilligan-Lee
2023	—	`conf`	Non-parametric identifiability and sensitivity analysis of synthetic control models. CLeaR Jakob Zeitler, Athanasios Vlontzos, Ciarán Mark Gilligan-Lee
2023	J	`jnl`	Non-parametric identifiability and sensitivity analysis of synthetic control models. CoRR Jakob Zeitler, Athanasios Vlontzos, Ciarán M. Gilligan-Lee
2022	J	`jnl`	A Review of Causality for Learning Algorithms in Medical Image Analysis. CoRR Athanasios Vlontzos, Daniel Rueckert, Bernhard Kainz
2022	—	`conf`	Adnexal Mass Segmentation with Ultrasound Data Synthesis. ASMUS@MICCAI Clara Lebbos, Jen Barcroft, Jeremy Tan, Johanna P. Müller, Matthew Baugh, Athanasios Vlontzos, Srdjan Saso, Bernhard Kainz
2022	J	`jnl`	Adnexal Mass Segmentation with Ultrasound Data Synthesis. CoRR Clara Lebbos, Jen Barcroft, Jeremy Tan, Johanna P. Müller, Matthew Baugh, Athanasios Vlontzos, Srdjan Saso, Bernhard Kainz
2022	—	`conf`	D'ARTAGNAN: Counterfactual Video Generation. MICCAI (8) Hadrien Reynaud, Athanasios Vlontzos, Mischa Dombrowski, Ciarán M. Gilligan-Lee, Arian Beqiri, Paul Leeson, Bernhard Kainz
2022	J	`jnl`	D'ARTAGNAN: Counterfactual Video Generation. CoRR Hadrien Reynaud, Athanasios Vlontzos, Mischa Dombrowski, Ciarán M. Gilligan-Lee, Arian Beqiri, Paul Leeson, Bernhard Kainz
2022	J	`jnl`	Is More Data All You Need? A Causal Exploration. CoRR Athanasios Vlontzos, Hadrien Reynaud, Bernhard Kainz
2022	J	`jnl`	Self-Supervised 3D Human Pose Estimation in Static Video Via Neural Rendering. CoRR Luca Schmidtke, Benjamin Hou, Athanasios Vlontzos, Bernhard Kainz
2022	—	`conf`	Self-supervised 3D Human Pose Estimation in Static Video via Neural Rendering. ECCV Workshops (3) Luca Schmidtke, Benjamin Hou, Athanasios Vlontzos, Bernhard Kainz
2022	J	`jnl`	Video Summarization Through Reinforcement Learning With a 3D Spatio-Temporal U-Net. IEEE Trans. Image Process. Tianrui Liu, Qingjie Meng, Junjie Huang, Athanasios Vlontzos, Daniel Rueckert, Bernhard Kainz
2022	—	`conf`	nnOOD: A Framework for Benchmarking Self-supervised Anomaly Localisation Methods. UNSURE@MICCAI Matthew Baugh, Jeremy Tan, Athanasios Vlontzos, Johanna P. Müller, Bernhard Kainz
2022	J	`jnl`	nnOOD: A Framework for Benchmarking Self-supervised Anomaly Localisation Methods. CoRR Matthew Baugh, Jeremy Tan, Athanasios Vlontzos, Johanna P. Müller, Bernhard Kainz
2021	—	`conf`	Detecting Hypo-plastic Left Heart Syndrome in Fetal Ultrasound via Disease-Specific Atlas Maps. MICCAI (7) Samuel Budd, Matthew Sinclair, Thomas G. Day, Athanasios Vlontzos, Jeremy Tan, Tianrui Liu, Jacqueline Matthew, Emily Skelton, John M. Simpson, Reza Razavi, Ben Glocker, Daniel Rueckert, Emma C. Robinson, Bernhard Kainz
2021	J	`jnl`	Detecting Hypo-plastic Left Heart Syndrome in Fetal Ultrasound via Disease-specific Atlas Maps. CoRR Samuel Budd, Matthew Sinclair, Thomas G. Day, Athanasios Vlontzos, Jeremy Tan, Tianrui Liu, Jacqueline Matthew, Emily Skelton, John M. Simpson, Reza Razavi, Ben Glocker, Daniel Rueckert, Emma C. Robinson, Bernhard Kainz
2021	J	`jnl`	Estimating the probabilities of causation via deep monotonic twin networks. CoRR Athanasios Vlontzos, Bernhard Kainz, Ciarán M. Gilligan-Lee
2021	J	`jnl`	Next-Gen Machine Learning Supported Diagnostic Systems for Spacecraft. CoRR Athanasios Vlontzos, Gabriel Sutherland, Siddha Ganju, Frank Soboczenski
2021	J	`jnl`	Topological Data Analysis of Database Representations for Information Retrieval. CoRR Athanasios Vlontzos, Yueqi Cao, Luca Schmidtke, Bernhard Kainz, Anthea Monod
2021	—	`conf`	Ultrasound Video Transformers for Cardiac Ejection Fraction Estimation. MICCAI (6) Hadrien Reynaud, Athanasios Vlontzos, Benjamin Hou, Arian Beqiri, Paul Leeson, Bernhard Kainz
2021	J	`jnl`	Ultrasound Video Transformers for Cardiac Ejection Fraction Estimation. CoRR Hadrien Reynaud, Athanasios Vlontzos, Benjamin Hou, Arian Beqiri, Paul Leeson, Bernhard Kainz
2021	A*	`conf`	Unsupervised Human Pose Estimation Through Transforming Shape Templates. CVPR Luca Schmidtke, Athanasios Vlontzos, Simon Ellershaw, Anna Lukens, Tomoki Arichi, Bernhard Kainz
2021	J	`jnl`	Unsupervised Human Pose Estimation through Transforming Shape Templates. CoRR Luca Schmidtke, Athanasios Vlontzos, Simon Ellershaw, Anna Lukens, Tomoki Arichi, Bernhard Kainz
2021	J	`jnl`	Video Summarization through Reinforcement Learning with a 3D Spatio-Temporal U-Net. CoRR Tianrui Liu, Qingjie Meng, Junjie Huang, Athanasios Vlontzos, Daniel Rueckert, Bernhard Kainz
2020	—	`conf`	3D Probabilistic Segmentation and Volumetry from 2D Projection Images. TIA@MICCAI Athanasios Vlontzos, Samuel Budd, Benjamin Hou, Daniel Rueckert, Bernhard Kainz
2020	J	`jnl`	3D Probabilistic Segmentation and Volumetry from 2D projection images. CoRR Athanasios Vlontzos, Samuel Budd, Benjamin Hou, Daniel Rueckert, Bernhard Kainz
2020	J	`jnl`	Causal Future Prediction in a Minkowski Space-Time. CoRR Athanasios Vlontzos, Henrique Bergallo Rocha, Daniel Rueckert, Bernhard Kainz
2020	—	`conf`	Ultrasound Video Summarization Using Deep Reinforcement Learning. MICCAI (3) Tianrui Liu, Qingjie Meng, Athanasios Vlontzos, Jeremy Tan, Daniel Rueckert, Bernhard Kainz
2020	J	`jnl`	Ultrasound Video Summarization using Deep Reinforcement Learning. CoRR Tianrui Liu, Qingjie Meng, Athanasios Vlontzos, Jeremy Tan, Daniel Rueckert, Bernhard Kainz
2019	J	`jnl`	Correlation of Auroral Dynamics and GNSS Scintillation with an Autoencoder. CoRR Kara Lamb, Garima Malhotra, Athanasios Vlontzos, Edward Wagstaff, Atilim Günes Baydin, Anahita Bhiwandiwalla, Yarin Gal, Alfredo Kalaitzis, Anthony Reina, Asti Bhatt
2019	J	`jnl`	Evaluating reinforcement learning agents for anatomical landmark detection. Medical Image Anal. Amir Alansary, Ozan Oktay, Yuanwei Li, Loïc Le Folgoc, Benjamin Hou, Ghislain Vaillant, Konstantinos Kamnitsas, Athanasios Vlontzos, Ben Glocker, Bernhard Kainz, Daniel Rueckert
2019	—	`conf`	Flexible Conditional Image Generation of Missing Data with Learned Mental Maps. MLMIR@MICCAI Benjamin Hou, Athanasios Vlontzos, Amir Alansary, Daniel Rueckert, Bernhard Kainz
2019	J	`jnl`	Flexible Conditional Image Generation of Missing Data with Learned Mental Maps. CoRR Benjamin Hou, Athanasios Vlontzos, Amir Alansary, Daniel Rueckert, Bernhard Kainz
2019	—	`conf`	Multiple Landmark Detection Using Multi-agent Reinforcement Learning. MICCAI (4) Athanasios Vlontzos, Amir Alansary, Konstantinos Kamnitsas, Daniel Rueckert, Bernhard Kainz
2019	J	`jnl`	Multiple Landmark Detection using Multi-Agent Reinforcement Learning. CoRR Athanasios Vlontzos, Amir Alansary, Konstantinos Kamnitsas, Daniel Rueckert, Bernhard Kainz
2019	J	`jnl`	Prediction of GNSS Phase Scintillations: A Machine Learning Approach. CoRR Kara Lamb, Garima Malhotra, Athanasios Vlontzos, Edward Wagstaff, Atilim Günes Baydin, Anahita Bhiwandiwalla, Yarin Gal, Alfredo Kalaitzis, Anthony Reina, Asti Bhatt
2018	A	`conf`	Deep Segmentation and Registration in X-Ray Angiography Video. BMVC Athanasios Vlontzos, Krystian Mikolajczyk
2018	J	`jnl`	Deep Segmentation and Registration in X-Ray Angiography Video. CoRR Athanasios Vlontzos, Krystian Mikolajczyk
2017	B	`conf`	The RNN-ELM classifier. IJCNN Athanasios Vlontzos
2016	J	`jnl`	The RNN-ELM Classifier. CoRR Athanasios Vlontzos