| Prostate motion modelling using biomechanically-trained deep neural networks on unstructured nodes SU Saeed, ZA Taylor, MA Pinnock, M Emberton, DC Barratt, Y Hu Medical Image Computing and Computer Assisted Intervention–MICCAI 2020: 23rd …, 2020 | 7 | 2020 |
| Multi-phase synthetic contrast enhancement in interventional computed tomography for guiding renal cryotherapy MA Pinnock, Y Hu, S Bandula, DC Barratt International Journal of Computer Assisted Radiology and Surgery 18 (8 …, 2023 | 2 | 2023 |
| Imaging features for the prediction of clinical endpoints in chronic liver disease: a scoping review protocol MD Chouhan, SA Taylor, A Bhagwanani, C Munday, MA Pinnock, T Parry, ... BMJ open 12 (5), e053204, 2022 | 2 | 2022 |
| End-to-end forecasting of needle trajectory in percutaneous ablation MA Pinnock, Y Hu, S Bandula, DC Barratt Medical Imaging 2021: Image-Guided Procedures, Robotic Interventions, and …, 2021 | 1 | 2021 |
| Time conditioning for arbitrary contrast phase generation in interventional computed tomography MA Pinnock, Y Hu, S Bandula, DC Barratt Physics in Medicine and Biology, 2024 | | 2024 |
| Active learning using adaptable task-based prioritisation SU Saeed, J Ramalhinho, M Pinnock, Z Shen, Y Fu, N Montaña-Brown, ... Medical Image Analysis, 103181, 2024 | | 2024 |
| Deep learning-based detection of liver disease using MRI MA Pinnock, Y Hu, A Bainbridge, D Atkinson, RP Mookerjee, SA Taylor, ... ISMRM 2021, 2988-2988, 2021 | | 2021 |
| Combined 3D super-resolution, de-noising and partial volume correction for percutaneous ablation MA Pinnock, Y Hu, S Bandula, DC Barratt Medical Imaging 2021: Image Processing 11596, 352-359, 2021 | | 2021 |
