| 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 | 1033 | 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 | 181* | 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 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 | 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 | 59 | 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 |
| Contrastive Registration for Unsupervised Medical Image Segmentation L Liu, AI Aviles-Rivero, CB Schönlieb IEEE Transactions on Neural Networks and Learning Systems (TNNLS), 2023 | 48 | 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 | 48 | 2022 |
| 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 |
| 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 |
| 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 | 30 | 2024 |
| 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 CambridgeVerified email at cam.ac.uk
