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Angelica I. Aviles-Rivero
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Common pitfalls and recommendations for using machine learning to detect and prognosticate for COVID-19 using chest radiographs and CT scans
M Roberts, D Driggs, M Thorpe, J Gilbey, M Yeung, S Ursprung, ...
Nature Machine Intelligence 3 (3), 199-217, 2021
8632021
Towards retrieving force feedback in robotic-assisted surgery: A supervised neuro-recurrent-vision approach
AI Aviles, SM Alsaleh, JK Hahn, A Casals
IEEE transactions on haptics 10 (3), 431-443, 2017
204*2017
Tuning-free Plug-and-Play Proximal Algorithm for Inverse Imaging Problems
K Wei, A Aviles-Rivero, J Liang, Y Fu, CB Schnlieb, H Huang
International Conference on Machine Learning (ICML), 2020
982020
Superpixel Contracted Graph-Based Learning for Hyperspectral Image Classification
P Sellars, A Aviles-Rivero, CB Schönlieb
IEEE Transactions on Geoscience and Remote Sensing, 2020
762020
Machine learning for workflow applications in screening mammography: systematic review and meta-analysis
SE Hickman, R Woitek, EPV Le, YR Im, C Mouritsen Luxhøj, ...
Radiology 302 (1), 88-104, 2022
682022
GraphX Chest X-Ray Classification Under Extreme Minimal Supervision
AI Aviles-Rivero, N Papadakis, R Li, P Sellars, Q Fan, RT Tan, ...
International Conference on Medical Image Computing and Computer-Assisted …, 2019
57*2019
A recurrent neural network approach for 3d vision-based force estimation
AI Aviles, A Marban, P Sobrevilla, J Fernandez, A Casals
2014 4th International Conference on Image Processing Theory, Tools and …, 2014
452014
A three-stage self-training framework for semi-supervised semantic segmentation
R Ke, AI Aviles-Rivero, S Pandey, S Reddy, CB Schönlieb
IEEE Transactions on Image Processing, 2022
422022
GraphXCOVID: explainable deep graph diffusion pseudo-labelling for identifying COVID-19 on chest X-rays
AI Aviles-Rivero, P Sellars, CB Schönlieb, N Papadakis
Pattern Recognition, 108274, 2022
352022
RainFlow: Optical Flow under Rain Streaks and Rain Veiling Effect
R Li, RT Tan, LF Cheong, AI Aviles-Rivero, Q Fan, CB Schönlieb
IEEE International Conference on Computer Vision (ICCV), 2019
352019
A deep-neuro-fuzzy approach for estimating the interaction forces in robotic surgery
AI Aviles, SM Alsaleh, E Montseny, P Sobrevilla, A Casals
2016 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE), 1113-1119, 2016
342016
Sensorless force estimation using a neuro-vision-based approach for robotic-assisted surgery
AI Aviles, S Alsaleh, P Sobrevilla, A Casals
2015 7th International IEEE/EMBS Conference on Neural Engineering (NER), 86-89, 2015
332015
LaplaceNet: A Hybrid Graph-Energy Neural Network for Deep Semisupervised Classification
P Sellars, AI Aviles-Rivero, CB Schönlieb
IEEE Transactions on Neural Networks and Learning Systems, 2022
322022
TFPNP: Tuning-free plug-and-play proximal algorithms with applications to inverse imaging problems
K Wei, A Aviles-Rivero, J Liang, Y Fu, H Huang, CB Schönlieb
Journal of Machine Learning Research 23 (16), 1-48, 2022
302022
Automatic and robust single-camera specular highlight removal in cardiac images
SM Alsaleh, AI Aviles, P Sobrevilla, A Casals, JK Hahn
2015 37th Annual International Conference of the IEEE Engineering in …, 2015
282015
Contrastive Registration for Unsupervised Medical Image Segmentation
L Liu, AI Aviles-Rivero, CB Schönlieb
IEEE Transactions on Neural Networks and Learning Systems (TNNLS), 2023
242023
Force-feedback sensory substitution using supervised recurrent learning for robotic-assisted surgery
AI Aviles, SM Alsaleh, P Sobrevilla, A Casals
2015 37th Annual International Conference of the IEEE Engineering in …, 2015
222015
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, ...
arXiv preprint arXiv:1906.08635, 2021
21*2021
Rethinking medical image reconstruction via shape prior, going deeper and faster: Deep joint indirect registration and reconstruction
J Liu, AI Aviles-Rivero, H Ji, CB Schönlieb
Medical Image Analysis, 101930, 2020
212020
Compressed sensing plus motion (CS+ M): a new perspective for improving undersampled MR image reconstruction
AI Aviles-Rivero, N Debroux, G Williams, MJ Graves, CB Schönlieb
Medical Image Analysis, 101933, 2021
202021
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