| Identifying the best machine learning algorithms for brain tumor segmentation, progression assessment, and overall survival prediction in the BRATS challenge S Bakas, M Reyes, A Jakab, S Bauer, M Rempfler, A Crimi, RT Shinohara, ... arXiv preprint arXiv:1811.02629, 2018 | 863 | 2018 |
| Anatomically Constrained Neural Networks (ACNN): Application to Cardiac Image Enhancement and Segmentation O Oktay, E Ferrante, K Kamnitsas, M Heinrich, W Bai, J Caballero, ... IEEE Trans Med Imaging, 2017 | 552 | 2017 |
| Ensembles of Multiple Models and Architectures for Robust Brain Tumour Segmentation K Kamnitsas, W Bai, E Ferrante, S McDonagh, M Sinclair, N Pawlowski, ... BrainLes 2017: Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic …, 2017 | 392 | 2017 |
| DeepMedic for Brain Tumor Segmentation K Kamnitsas, E Ferrante, S Parisot, C Ledig, AV Nori, A Criminisi, ... International Workshop on Brainlesion: Glioma, Multiple Sclerosis, Stroke …, 2016 | 270 | 2016 |
| Disease prediction using graph convolutional networks: Application to Autism Spectrum Disorder and Alzheimer’s disease S Parisot, SI Ktena, E Ferrante, M Lee, R Guerrero, B Glocker, D Rueckert Medical image analysis 48, 117-130, 2018 | 259 | 2018 |
| Metric learning with spectral graph convolutions on brain connectivity networks SI Ktena, S Parisot, E Ferrante, M Rajchl, M Lee, B Glocker, D Rueckert NeuroImage 169, 431-442, 2018 | 172 | 2018 |
| Gender imbalance in medical imaging datasets produces biased classifiers for computer-aided diagnosis AJ Larrazabal, N Nieto, V Peterson, DH Milone, E Ferrante Proceedings of the National Academy of Sciences 117 (23), 12592-12594, 2020 | 153 | 2020 |
| Spectral Graph Convolutions on Population Graphs for Disease Prediction S Parisot, SI Ktena, E Ferrante, M Lee, RG Moreno, B Glocker, D Rueckert MICCAI: International Conference on Medical Image Computing and Computer …, 2017 | 146* | 2017 |
| Distance Metric Learning using Graph Convolutional Networks: Application to Functional Brain Networks SI Ktena, S Parisot, E Ferrante, M Rajchl, M Lee, B Glocker, D Rueckert MICCAI: International Conference on Medical Image Computing and Computer …, 2017 | 140 | 2017 |
| Slice-to-volume medical image registration: a survey E Ferrante, N Paragios Medical Image Analysis 39, 101-123, 2017 | 129 | 2017 |
| Sub-cortical brain structure segmentation using F-CNN's M Shakeri, S Tsogkas, E Ferrante, S Lippe, S Kadoury, N Paragios, ... ISBI 2016, 2016 | 123 | 2016 |
| Unsupervised Lesion Detection in Brain CT using Bayesian Convolutional Autoencoders N Pawlowski, MCH Lee, M Rajchl, S McDonagh, E Ferrante, K Kamnitsas, ... MIDL: Medical Imaging with Deep Learning Conference, 2018 | 56 | 2018 |
| Multiclass semantic segmentation and quantification of traumatic brain injury lesions on head CT using deep learning: an algorithm development and multicentre validation study M Monteiro, VFJ Newcombe, F Mathieu, K Adatia, K Kamnitsas, ... The Lancet Digital Health 2 (6), e314-e322, 2020 | 42 | 2020 |
| Learning deformable registration of medical images with anatomical constraints L Mansilla, DH Milone, E Ferrante Neural Networks, 2020 | 36 | 2020 |
| Anatomical Priors for Image Segmentation via Post-Processing with Denoising Autoencoders AJ Larrazabal, C Martinez, E Ferrante MICCAI 2019: International Conference on Medical Image Computing and …, 2019 | 33 | 2019 |
| Non-rigid 2d-3d medical image registration using markov random fields E Ferrante, N Paragios MICCAI: International Conference on Medical Image Computing and Computer …, 2013 | 33 | 2013 |
| Post-DAE: Anatomically Plausible Segmentation via Post-Processing with Denoising Autoencoders AJ Larrazabal, C Martínez, B Glocker, E Ferrante IEEE Transactions on Medical Imaging, 2020 | 30 | 2020 |
| On the Adaptability of Unsupervised CNN-Based Deformable Image Registration to Unseen Image Domains E Ferrante, O Oktay, B Glocker, DH Milone MICCAI MLMI Workshop: Machine Learning in Medical Imaging, 2018 | 26 | 2018 |
| Deep learning with ultrasound physics for fetal skull segmentation JJ Cerrolaza, M Sinclair, Y Li, A Gomez, E Ferrante, J Matthew, C Gupta, ... ISBI: IEEE International Symposium on Biomedical Imaging, 564-567, 2018 | 22 | 2018 |
| Slice-to-Volume Deformable Registration: Efficient one shot consensus between plane selection and in-plane deformation E Ferrante, V Fecamp, N Paragios International Journal of Computer Assisted Radiology and Surgery (IJCARS), 16, 2015 | 20 | 2015 |
Ben GlockerImperial College LondonVerified email at imperial.ac.uk
