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Athanasios Vlontzos

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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Detecting Hypo-plastic Left Heart Syndrome in Fetal Ultrasound via Disease-specific Atlas Maps


Jul 06, 2021
Samuel Budd, Matthew Sinclair, Thomas Day, Athanasios Vlontzos, Jeremy Tan, Tianrui Liu, Jaqueline Matthew, Emily Skelton, John Simpson, Reza Razavi, Ben Glocker, Daniel Rueckert, Emma C. Robinson, Bernhard Kainz

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* MICCAI'21 Main Conference 
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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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Video Summarization through Reinforcement Learning with a 3D Spatio-Temporal U-Net


Jun 19, 2021
Tianrui Liu, Qingjie Meng, Jun-Jie Huang, Athanasios Vlontzos, Daniel Rueckert, Bernhard Kainz

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Next-Gen Machine Learning Supported Diagnostic Systems for Spacecraft


Jun 10, 2021
Athanasios Vlontzos, Gabriel Sutherland, Siddha Ganju, Frank Soboczenski

* Accepted in the AI for Spacecraft Longevity Workshop at IJCAI2021 
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Unsupervised Human Pose Estimation through Transforming Shape Templates


May 10, 2021
Luca Schmidtke, Athanasios Vlontzos, Simon Ellershaw, Anna Lukens, Tomoki Arichi, Bernhard Kainz

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* CVPR 2021 (poster). Project page: https://infantmotion.github.io/ 
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Topological Data Analysis of Database Representations for Information Retrieval


Apr 04, 2021
Athanasios Vlontzos, Yueqi Cao, Luca Schmidtke, Bernhard Kainz, Anthea Monod

* 15 pages, 7 figures 
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Causal Future Prediction in a Minkowski Space-Time


Aug 30, 2020
Athanasios Vlontzos, Henrique Bergallo Rocha, Daniel Rueckert, Bernhard Kainz

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* Includes supplement 
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3D Probabilistic Segmentation and Volumetry from 2D projection images


Jun 23, 2020
Athanasios Vlontzos, Samuel Budd, Benjamin Hou, Daniel Rueckert, Bernhard Kainz

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Ultrasound Video Summarization using Deep Reinforcement Learning


May 19, 2020
Tianrui Liu, Qingjie Meng, Athanasios Vlontzos, Jeremy Tan, Daniel Rueckert, Bernhard Kainz

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* Accepted by MICCAI'20 
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Correlation of Auroral Dynamics and GNSS Scintillation with an Autoencoder


Oct 04, 2019
Kara Lamb, Garima Malhotra, Athanasios Vlontzos, Edward Wagstaff, Atılım Günes Baydin, Anahita Bhiwandiwalla, Yarin Gal, Alfredo Kalaitzis, Anthony Reina, Asti Bhatt

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* Four first authors contributed equally; Paper accepted in Machine Learning for the Physical Sciences workshop of NeurIPS 2019; Camera Ready Version to Follow 
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Prediction of GNSS Phase Scintillations: A Machine Learning Approach


Oct 03, 2019
Kara Lamb, Garima Malhotra, Athanasios Vlontzos, Edward Wagstaff, Atılım Günes Baydin, Anahita Bhiwandiwalla, Yarin Gal, Alfredo Kalaitzis, Anthony Reina, Asti Bhatt

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* First 4 authors contributed equally Paper accepted in Machine Learning for the Physical Sciences workshop of NeurIPS 2019 Camera Ready Version to Follow 
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Flexible Conditional Image Generation of Missing Data with Learned Mental Maps


Aug 29, 2019
Benjamin Hou, Athanasios Vlontzos, Amir Alansary, Daniel Rueckert, Bernhard Kainz

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Multiple Landmark Detection using Multi-Agent Reinforcement Learning


Jul 22, 2019
Athanasios Vlontzos, Amir Alansary, Konstantinos Kamnitsas, Daniel Rueckert, Bernhard Kainz

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* Accepted in MICCAI 2019, Camera Ready Version 
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Deep Segmentation and Registration in X-Ray Angiography Video


Aug 03, 2018
Athanasios Vlontzos, Krystian Mikolajczyk

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* To appear in BMVC 2018 
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The RNN-ELM Classifier


Sep 25, 2016
Athanasios Vlontzos

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