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Department of Pure Mathematics and Mathematical Statistics

 

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My research lies at the intersection of computational mathematics and machine learning for applications to large-scale real world problems.

Keywords: Computational Mathematics \bigstar Inverse problems \bigstar  Computer Vision \bigstar Medical Image Analysis  \bigstar Robotics \bigstar Machine Learning.

 

Publications

Peekaboo-where are the objects? Structure adjusting superpixels
G Maierhofer, D Heydecker, AI Aviles-Rivero, SM Alsaleli, CB Schonlieb
– Proceedings - International Conference on Image Processing, ICIP
(2018)
00,
3693
Towards Retrieving Force Feedback in Robotic-Assisted Surgery: A Supervised Neuro-Recurrent-Vision Approach.
AI Aviles, SM Alsaleh, JK Hahn, A Casals
– IEEE Trans Haptics
(2017)
10,
431
Robust cardiac motion estimation using ultrafast ultrasound data: a low-rank topology-preserving approach
AI Aviles, T Widlak, A Casals, MM Nillesen, H Ammari
– Physics in medicine and biology
(2017)
62,
4831
Multi-Modal Hypergraph Diffusion Network with Dual Prior for Alzheimer Classification
AI Aviles-Rivero, C Runkel, N Papadakis, Z Kourtzi, C-B Schönlieb
Energy Models for Better Pseudo-Labels: Improving Semi-Supervised Classification with the 1-Laplacian Graph Energy
AI Aviles-Rivero, N Papadakis, R Li, P Sellars, SM Alsaleh, RT Tan, C-B Schönlieb
Dim the Lights! -- Low-Rank Prior Temporal Data for Specular-Free Video Recovery
SM Alsaleh, AI Aviles-Rivero, N Debroux, JK Hahn
Contrastive Registration for Unsupervised Medical Image Segmentation
L Liu, AI Aviles-Rivero, C-B Schönlieb
Variational Multi-Task MRI Reconstruction: Joint Reconstruction, Registration and Super-Resolution
V Corona, AI Aviles-Rivero, N Debroux, CL Guyader, C-B Schönlieb
LaplaceNet: A Hybrid Energy-Neural Model for Deep Semi-Supervised Classification
P Sellars, AI Aviles-Rivero, C-B Schönlieb
Delving Into Deep Walkers: A Convergence Analysis of Random-Walk-Based Vertex Embeddings
D Kloepfer, AI Aviles-Rivero, D Heydecker
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