| Monai label: A framework for ai-assisted interactive labeling of 3d medical images A Diaz-Pinto, S Alle, V Nath, Y Tang, A Ihsani, M Asad, F Pérez-García, ... arXiv preprint arXiv:2203.12362, 2022 | 50 | 2022 |
| Artificial intelligence compared to radiologists for the initial diagnosis of prostate cancer on magnetic resonance imaging: a systematic review and recommendations for future … T Syer, P Mehta, M Antonelli, S Mallett, D Atkinson, S Ourselin, S Punwani Cancers 13 (13), 3318, 2021 | 39 | 2021 |
| Computer-aided diagnosis of prostate cancer using multiparametric MRI and clinical features: A patient-level classification framework P Mehta, M Antonelli, HU Ahmed, M Emberton, S Punwani, S Ourselin Medical image analysis 73, 102153, 2021 | 29 | 2021 |
| DeepEdit: deep editable learning for interactive segmentation of 3D medical images A Diaz-Pinto, P Mehta, S Alle, M Asad, R Brown, V Nath, A Ihsani, ... MICCAI Workshop on Data Augmentation, Labelling, and Imperfections, 11-21, 2022 | 16 | 2022 |
| AutoProstate: towards automated reporting of prostate MRI for prostate cancer assessment using deep learning P Mehta, M Antonelli, S Singh, N Grondecka, EW Johnston, HU Ahmed, ... Cancers 13 (23), 6138, 2021 | 10 | 2021 |
| Patient-specific 3D printed/virtual models from automated segmentation using MONAI labels M Antonelli, A Diaz-Pinto, P Mehta, J Cardoso, S Ourselin, A Granados, ... European Urology Open Science 48, S28, 2023 | | 2023 |
| Decision fusion of 3D convolutional neural networks to triage patients with suspected prostate cancer using volumetric biparametric MRI P Mehta, M Antonelli, H Ahmed, M Emberton, S Punwani, S Ourselin Medical Imaging 2020: Computer-Aided Diagnosis 11314, 717-727, 2020 | | 2020 |
Sebastien OurselinProfessor of Healthcare Engineering, King's College LondonVerified email at kcl.ac.uk
