Dr Angelica Aviles Rivero

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

GraphXCOVID: Explainable deep graph diffusion pseudo-Labelling for identifying COVID-19 on chest X-rays.

AI Aviles-Rivero, P Sellars, C-B Schönlieb, N Papadakis

– Pattern recognition

(2022)

122,

108274

(DOI: 10.1016/j.patcog.2021.108274)

A Three-Stage Self-Training Framework for Semi-Supervised Semantic Segmentation.

R Ke, AI Aviles-Rivero, S Pandey, S Reddy, C-B Schonlieb

– IEEE Trans Image Process

(2022)

31,

1805

(DOI: 10.1109/tip.2022.3144036)

Machine learning for workflow applications in screening mammography: systematic review and meta-analysis

SE Hickman, R Woitek, EPV Le, YR Im, C Mouritsen Luxhøj, AI Aviles-Rivero, GC Baxter, JW MacKay, FJ Gilbert

– Radiology

(2021)

302,

(DOI: 10.1148/radiol.2021210391)

Learning optical flow for fast MRI reconstruction

T Schmoderer, AI Aviles-Rivero, V Corona, N Debroux, CB Schönlieb

– Inverse Problems

(2021)

37,

095007

(DOI: 10.1088/1361-6420/ac164a)

Dynamic spectral residual superpixels

J Zhang, AI Aviles-Rivero, D Heydecker, X Zhuang, R Chan, CB Schönlieb

– Pattern Recognition

(2021)

112,

107705

(DOI: 10.1016/j.patcog.2020.107705)

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

(2021)

abs/1810.10828,

101933

(DOI: 10.1016/j.media.2020.101933)

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

(2021)

68,

101930

(DOI: 10.1016/j.media.2020.101930)

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

(DOI: 10.1016/j.media.2020.101941)

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

(DOI: 10.1007/978-3-030-60365-6_18)

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

(DOI: 10.1109/tgrs.2019.2961599)

Cambridge Image Analysis

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