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
1036 2021 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
180 * 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
117 2020 Superpixel Contracted Graph-Based Learning for Hyperspectral Image Classification P Sellars, A Aviles-Rivero, CB Schönlieb
IEEE Transactions on Geoscience and Remote Sensing, 2020
91 2020 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
90 2022 DiffMIC: Dual-Guidance Diffusion Network for Medical Image Classification Y Yang, H Fu, A Aviles-Rivero, CB Schönlieb, L Zhu
MICCAI2023, 2023
68 2023 GraphX AI Aviles-Rivero, N Papadakis, R Li, P Sellars, Q Fan, RT Tan, ...
International Conference on Medical Image Computing and Computer-Assisted …, 2019
66 * 2019 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
60 2022 Contrastive Registration for Unsupervised Medical Image Segmentation L Liu, AI Aviles-Rivero, CB Schönlieb
IEEE Transactions on Neural Networks and Learning Systems (TNNLS), 2023
50 2023 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
49 2022 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
49 2014 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
42 2016 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
41 2019 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
37 2022 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
36 2022 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
36 2015 CoNIC Challenge: Pushing the frontiers of nuclear detection, segmentation, classification and counting S Graham, QD Vu, M Jahanifar, M Weigert, U Schmidt, W Zhang, J Zhang, ...
Medical image analysis 92, 103047, 2024
31 2024 PC-SwinMorph: Patch Representation for Unsupervised Medical Image Registration and Segmentation L Liu, Z Huang, P Liò, CB Schönlieb, AI Aviles-Rivero
arXiv preprint arXiv:2203.05684, 2022
31 2022 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
30 2015 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
29 2021 
Carola-Bibiane SchönliebDAMTP, University of CambridgeZweryfikowany adres z cam.ac.uk
