Athanasios Vlontzos

Publication Activity (10 Years)

Years Active: 2016-2024
Publications (10 Years): 41

Top Topics

Reinforcement Learning

Image Generation

Human Pose Estimation

Video Summarization

Top Venues

IEEE Trans. Image Process.

Publications

Thomas Melistas, Nikos Spyrou, Nefeli Gkouti, Pedro Sanchez, Athanasios Vlontzos, Giorgos Papanastasiou, Sotirios A. Tsaftaris
Benchmarking Counterfactual Image Generation. CoRR (2024)
Jakob Zeitler, Athanasios Vlontzos, Ciarán M. Gilligan-Lee
Non-parametric identifiability and sensitivity analysis of synthetic control models. CoRR (2023)
Athanasios Vlontzos, Bernhard Kainz, Ciarán M. Gilligan-Lee
Estimating categorical counterfactuals via deep twin networks. Nat. Mac. Intell. 5 (2) (2023)
Jakob Zeitler, Athanasios Vlontzos, Ciarán Mark Gilligan-Lee
Non-parametric identifiability and sensitivity analysis of synthetic control models. CLeaR (2023)
Tian-Rui Liu, Qingjie Meng, Junjie Huang, Athanasios Vlontzos, Daniel Rueckert, Bernhard Kainz
Video Summarization Through Reinforcement Learning With a 3D Spatio-Temporal U-Net. IEEE Trans. Image Process. 31 (2022)
Matthew Baugh, Jeremy Tan, Athanasios Vlontzos, Johanna P. Müller, Bernhard Kainz
nnOOD: A Framework for Benchmarking Self-supervised Anomaly Localisation Methods. UNSURE@MICCAI (2022)
Clara Lebbos, Jen Barcroft, Jeremy Tan, Johanna Müller, Matthew Baugh, Athanasios Vlontzos, Srdjan Saso, Bernhard Kainz
Adnexal Mass Segmentation with Ultrasound Data Synthesis. ASMUS@MICCAI (2022)
Clara Lebbos, Jen Barcroft, Jeremy Tan, Johanna P. Müller, Matthew Baugh, Athanasios Vlontzos, Srdjan Saso, Bernhard Kainz
Adnexal Mass Segmentation with Ultrasound Data Synthesis. CoRR (2022)
Hadrien Reynaud, Athanasios Vlontzos, Mischa Dombrowski, Ciarán M. Gilligan-Lee, Arian Beqiri, Paul Leeson, Bernhard Kainz
D'ARTAGNAN: Counterfactual Video Generation. MICCAI (8) (2022)
Athanasios Vlontzos, Hadrien Reynaud, Bernhard Kainz
Is More Data All You Need? A Causal Exploration. CoRR (2022)
Athanasios Vlontzos, Daniel Rueckert, Bernhard Kainz
A Review of Causality for Learning Algorithms in Medical Image Analysis. CoRR (2022)
Matthew Baugh, Jeremy Tan, Athanasios Vlontzos, Johanna P. Müller, Bernhard Kainz
nnOOD: A Framework for Benchmarking Self-supervised Anomaly Localisation Methods. CoRR (2022)
Luca Schmidtke, Benjamin Hou, Athanasios Vlontzos, Bernhard Kainz
Self-Supervised 3D Human Pose Estimation in Static Video Via Neural Rendering. CoRR (2022)
Hadrien Reynaud, Athanasios Vlontzos, Mischa Dombrowski, Ciarán M. Gilligan-Lee, Arian Beqiri, Paul Leeson, Bernhard Kainz
D'ARTAGNAN: Counterfactual Video Generation. CoRR (2022)
Luca Schmidtke, Benjamin Hou, Athanasios Vlontzos, Bernhard Kainz
Self-supervised 3D Human Pose Estimation in Static Video via Neural Rendering. ECCV Workshops (3) (2022)
Luca Schmidtke, Athanasios Vlontzos, Simon Ellershaw, Anna Lukens, Tomoki Arichi, Bernhard Kainz
Unsupervised Human Pose Estimation through Transforming Shape Templates. CoRR (2021)
Athanasios Vlontzos, Gabriel Sutherland, Siddha Ganju, Frank Soboczenski
Next-Gen Machine Learning Supported Diagnostic Systems for Spacecraft. CoRR (2021)
Samuel Budd, Matthew Sinclair, Thomas 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
Detecting Hypo-plastic Left Heart Syndrome in Fetal Ultrasound via Disease-Specific Atlas Maps. MICCAI (7) (2021)
Athanasios Vlontzos, Yueqi Cao, Luca Schmidtke, Bernhard Kainz, Anthea Monod
Topological Data Analysis of Database Representations for Information Retrieval. CoRR (2021)
Luca Schmidtke, Athanasios Vlontzos, Simon Ellershaw, Anna Lukens, Tomoki Arichi, Bernhard Kainz
Unsupervised Human Pose Estimation Through Transforming Shape Templates. CVPR (2021)
Tianrui Liu, Qingjie Meng, Junjie Huang, Athanasios Vlontzos, Daniel Rueckert, Bernhard Kainz
Video Summarization through Reinforcement Learning with a 3D Spatio-Temporal U-Net. CoRR (2021)
Athanasios Vlontzos, Bernhard Kainz, Ciarán M. Gilligan-Lee
Estimating the probabilities of causation via deep monotonic twin networks. CoRR (2021)
Hadrien Reynaud, Athanasios Vlontzos, Benjamin Hou, Arian Beqiri, Paul Leeson, Bernhard Kainz
Ultrasound Video Transformers for Cardiac Ejection Fraction Estimation. CoRR (2021)
Samuel Budd, Matthew Sinclair, Thomas 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
Detecting Hypo-plastic Left Heart Syndrome in Fetal Ultrasound via Disease-specific Atlas Maps. CoRR (2021)
Hadrien Reynaud, Athanasios Vlontzos, Benjamin Hou, Arian Beqiri, Paul Leeson, Bernhard Kainz
Ultrasound Video Transformers for Cardiac Ejection Fraction Estimation. MICCAI (6) (2021)
Tianrui Liu, Qingjie Meng, Athanasios Vlontzos, Jeremy Tan, Daniel Rueckert, Bernhard Kainz
Ultrasound Video Summarization using Deep Reinforcement Learning. CoRR (2020)
Athanasios Vlontzos, Samuel Budd, Benjamin Hou, Daniel Rueckert, Bernhard Kainz
3D Probabilistic Segmentation and Volumetry from 2D projection images. CoRR (2020)
Athanasios Vlontzos, Henrique Bergallo Rocha, Daniel Rueckert, Bernhard Kainz
Causal Future Prediction in a Minkowski Space-Time. CoRR (2020)
Athanasios Vlontzos, Samuel Budd, Benjamin Hou, Daniel Rueckert, Bernhard Kainz
3D Probabilistic Segmentation and Volumetry from 2D Projection Images. TIA@MICCAI (2020)
Tianrui Liu, Qingjie Meng, Athanasios Vlontzos, Jeremy Tan, Daniel Rueckert, Bernhard Kainz
Ultrasound Video Summarization Using Deep Reinforcement Learning. MICCAI (3) (2020)
Benjamin Hou, Athanasios Vlontzos, Amir Alansary, Daniel Rueckert, Bernhard Kainz
Flexible Conditional Image Generation of Missing Data with Learned Mental Maps. MLMIR@MICCAI (2019)
Benjamin Hou, Athanasios Vlontzos, Amir Alansary, Daniel Rueckert, Bernhard Kainz
Flexible Conditional Image Generation of Missing Data with Learned Mental Maps. CoRR (2019)
Amir Alansary, Ozan Oktay, Yuanwei Li, Loïc Le Folgoc, Benjamin Hou, Ghislain Vaillant, Konstantinos Kamnitsas, Athanasios Vlontzos, Ben Glocker, Bernhard Kainz, Daniel Rueckert
Evaluating reinforcement learning agents for anatomical landmark detection. Medical Image Anal. 53 (2019)
Athanasios Vlontzos, Amir Alansary, Konstantinos Kamnitsas, Daniel Rueckert, Bernhard Kainz
Multiple Landmark Detection Using Multi-agent Reinforcement Learning. MICCAI (4) (2019)
Kara Lamb, Garima Malhotra, Athanasios Vlontzos, Edward Wagstaff, Atilim Günes Baydin, Anahita Bhiwandiwalla, Yarin Gal, Alfredo Kalaitzis, Anthony Reina, Asti Bhatt
Correlation of Auroral Dynamics and GNSS Scintillation with an Autoencoder. CoRR (2019)
Kara Lamb, Garima Malhotra, Athanasios Vlontzos, Edward Wagstaff, Atilim Günes Baydin, Anahita Bhiwandiwalla, Yarin Gal, Alfredo Kalaitzis, Anthony Reina, Asti Bhatt
Prediction of GNSS Phase Scintillations: A Machine Learning Approach. CoRR (2019)
Athanasios Vlontzos, Amir Alansary, Konstantinos Kamnitsas, Daniel Rueckert, Bernhard Kainz
Multiple Landmark Detection using Multi-Agent Reinforcement Learning. CoRR (2019)
Athanasios Vlontzos, Krystian Mikolajczyk
Deep Segmentation and Registration in X-Ray Angiography Video. BMVC (2018)
Athanasios Vlontzos, Krystian Mikolajczyk
Deep Segmentation and Registration in X-Ray Angiography Video. CoRR (2018)
Athanasios Vlontzos
The RNN-ELM classifier. IJCNN (2017)
Athanasios Vlontzos
The RNN-ELM Classifier. CoRR (2016)