| 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 | 325 | 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 | 79* | 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 | 53 | 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 | 40 | 2020 |
| 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 | 35 | 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 | 32 | 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 | 23 | 2016 |
| 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 | 23 | 2015 |
| 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 | 20 | 2019 |
| 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 | 20 | 2015 |
| 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 | 20 | 2015 |
| 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 | 17 | 2022 |
| 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 | 15* | 2021 |
| 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 | 13 | 2021 |
| Adaptive segmentation and mask-specific Sobolev inpainting of specular highlights for endoscopic images SM Alsaleh, AI Aviles, P Sobrevilla, A Casals, JK Hahn 2016 38th Annual International Conference of the IEEE Engineering in …, 2016 | 13 | 2016 |
| Exploring the effects of dimensionality reduction in deep networks for force estimation in robotic-assisted surgery AI Aviles, S Alsaleh, P Sobrevilla, A Casals Medical Imaging 2016: Image-Guided Procedures, Robotic Interventions, and …, 2016 | 11 | 2016 |
| 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 | 9 | 2020 |
| Towards estimating cardiac motion using low-rank representation and topology preservation for ultrafast ultrasound data AI Aviles, T Widlak, A Casals, H Ammari 2016 38th Annual International Conference of the IEEE Engineering in …, 2016 | 9* | 2016 |
| LaplaceNet: A Hybrid Energy-Neural Model for Deep Semi-Supervised Classification P Sellars, AI Aviles-Rivero, CB Schönlieb arXiv preprint arXiv:2106.04527, 2021 | 8 | 2021 |
| Mirror, Mirror, on the Wall, Who's Got the Clearest Image of Them All?-A Tailored Approach to Single Image Reflection Removal D Heydecker, G Maierhofer, AI Aviles-Rivero, Q Fan, D Chen, ... IEEE Transactions on Image Processing, 2019 | 8 | 2019 |
Carola-Bibiane SchönliebDAMTP, University of CambridgeVerified email at cam.ac.uk
