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Department of Pure Mathematics and Mathematical Statistics

 

➡️ Personal Home Page

My research lies  at the intersection of computational mathematics and machine learning for applications to large-scale real world problems. My central research is to develop new data-driven algorithmic techniques that allow computers to gain high-level understanding from vast amounts of data, this, with the aim of aiding the decisions of users. These methods are based on mathematical modelling and machine learning methods.

Keywords: \bigstarApplied Mathematics \bigstar Computational Mathematics \bigstar Inverse problems \bigstar  Image Analysis  \bigstar Graph Learning \bigstar Machine Learning.

 

Publications

Variational multi-task MRI reconstruction: Joint reconstruction, registration and super-resolution.
V Corona, AI Aviles-Rivero, N Debroux, CL Guyader, C-B Schönlieb
– Medical Image Analysis
(2020)
68,
101941
Rethinking medical image reconstruction via shape prior, going deeper and faster: Deep joint indirect registration and reconstruction
J Liu, AI Aviles-Rivero, H Ji, C-B Schönlieb
– Medical Image Analysis
(2020)
68,
101930
Compressed Sensing Plus Motion (CS+M): A New Perspective for Improving Undersampled MR Image Reconstruction.
AI Aviles-Rivero, N Debroux, G Williams, MJ Graves, C-B Schönlieb
– Medical Image Analysis
(2020)
abs/1810.10828,
101933
Contrastive Registration for Unsupervised Medical Image Segmentation
L Liu, AI Aviles-Rivero, C-B Schönlieb
(2020)
The GraphNet Zoo: An All-in-One Graph Based Deep Semi-supervised Framework for Medical Image Classification
M de Vriendt, P Sellars, AI Aviles-Rivero
– Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
(2020)
12443,
187
Controllable Image Processing via Adaptive FilterBank Pyramid
D Chen, Q Fan, J Liao, A Aviles-Rivero, L Yuan, N Yu, G Hua
– IEEE Transactions on Image Processing
(2020)
29,
8043
Superpixel Contracted Graph-Based Learning for Hyperspectral Image Classification
P Sellars, AI Aviles-Rivero, CB Schonlieb
– IEEE Transactions on Geoscience and Remote Sensing
(2020)
58,
4180
Tuning-free plug-and-play proximal algorithm for inverse imaging problems
K Wei, A Aviles-Rivero, J Liang, Y Fu, CB Schönlieb, H Huang
– 37th International Conference on Machine Learning, ICML 2020
(2020)
PartF168147-14,
10089
Dim the Lights! -- Low-Rank Prior Temporal Data for Specular-Free Video Recovery
SM Alsaleh, AI Aviles-Rivero, N Debroux, JK Hahn
(2019)
GraphX $^\mathbf{\small NET } -$ N E T - Chest X-Ray Classification Under Extreme Minimal Supervision
AI Aviles-Rivero, N Papadakis, R Li, P Sellars, Q Fan, RT Tan, CB Schönlieb
– Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
(2019)
11769 LNCS,
504
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Room

F0.08

Telephone

01223 760377