Athanasios Vlontzos
Athanasios Vlontzos
PhD Student, Biomedical Image Analysis Group (BioMedIA), Department of Computing, Imperial College
Verified email at ic.ac.uk - Homepage
Title
Cited by
Cited by
Year
Evaluating reinforcement learning agents for anatomical landmark detection
A Alansary, O Oktay, Y Li, L Le Folgoc, B Hou, G Vaillant, K Kamnitsas, ...
Medical image analysis 53, 156-164, 2019
562019
Multiple landmark detection using multi-agent reinforcement learning
A Vlontzos, A Alansary, K Kamnitsas, D Rueckert, B Kainz
International Conference on Medical Image Computing and Computer-Assisted …, 2019
172019
Deep Segmentation and Registration in X-Ray Angiography Video
A Vlontzos, K Mikolajczyk
BMVC 2018, 2018
92018
Ultrasound Video Summarization Using Deep Reinforcement Learning
T Liu, Q Meng, A Vlontzos, J Tan, D Rueckert, B Kainz
International Conference on Medical Image Computing and Computer-Assisted …, 2020
32020
The RNN-ELM Classifier
A Vlontzos
IJCNN 2017, 2017
32017
Prediction of GNSS Phase Scintillations: A Machine Learning Approach
K Lamb, G Malhotra, A Vlontzos, E Wagstaff, AG Baydin, A Bhiwandiwalla, ...
Machine Learning for the Physical Sciences; NeurIPS 2019 workshop, 2019
22019
Correlation of Auroral Dynamics and GNSS Scintillation with an Autoencoder
K Lamb, G Malhotra, A Vlontzos, E Wagstaff, AG Baydin, A Bhiwandiwalla, ...
Machine Learning for the Physical Sciences; NeurIPS 2019 workshop, 2019
12019
Topological Data Analysis of Database Representations for Information Retrieval
A Vlontzos, Y Cao, L Schmidtke, B Kainz, A Monod
arXiv preprint arXiv:2104.01672, 15, 2021
2021
Causal Future Prediction in a Minkowski Space-Time
A Vlontzos, HB Rocha, D Rueckert, B Kainz
arXiv preprint arXiv:2008.09154, 2020
2020
3D Probabilistic Segmentation and Volumetry from 2D projection images
A Vlontzos, S Budd, B Hou, D Rueckert, B Kainz
The Second International Workshop on Thoracic Image Analysis, arXiv preprint …, 2020
2020
Utilizing Deep Reinforcement Learning to Effect Autonomous Orbit Transfers and Intercepts via Electromagnetic Propulsion
G Sutherland, F Soboczenski, A Vlontzos
2020
A deep-learning based approach for predicting high latitude ionospheric scintillations using geospace data and auroral imagery
G Malhotra, A Vlontzos, K Lamb, E Wagstaff, A Bhatt
AGU Fall Meeting Abstracts 2019, NG21A-08, 2019
2019
Flexible Conditional Image Generation of Missing Data with Learned Mental Maps
B Hou, A Vlontzos, A Alansary, D Rueckert, B Kainz
arXiv:1908.11312, 2019
2019
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Articles 1–13