158 citations
- Yipeng Hu2 profiles11 · h 34
- D. Barratt8 · h 40
- Qianye Yang2 profiles6 · h 16
- S. Ourselin6 · h 115
- D. Stoyanov5 · h 61
- M. Clarkson5 · h 42
- Yunguan Fu2 profiles5 · h 13
- Zachary Michael Cieman Baum5 · h 10
- Shaheer U. Saeed4 · h 10
- Tom Kamiel Magda Vercauteren4 · h 59
- T. Vercauteren4 · h 30
- Fernando Pérez-García3 · h 16
- University College LondonGB25 papers
- King's College LondonGB8 papers
- King's College SchoolGB4 papers
- National Hospital for Neurology and NeurosurgeryGB4 papers
- University College HospitalGB4 papers
- Stanford MedicineUS3 papers
- Harbin Institute of TechnologyCN2 papers
- University College London Hospitals NHS Foundation TrustGB2 papers
- University of OxfordGB2 papers
- Assistance Publique – Hôpitaux de ParisFR1 paper
- Athinoula A. Martinos Center for Biomedical ImagingUS1 paper
- Azienda Socio Sanitaria Territoriale Grande Ospedale Metropolitano NiguardaIT1 paper
9 papers · 1 filter
Real-time multimodal image registration with partial intraoperative point-set data
Zachary M C Baum, Yipeng Hu, Dean C Barratt
We present Free Point Transformer (FPT) - a deep neural network architecture for non-rigid point-set registration. Consisting of two modules, a global feature extraction module and…
Adaptable image quality assessment using meta-reinforcement learning of task amenability
Shaheer U. Saeed, Yunguan Fu, Vasilis Stavrinides +8
The performance of many medical image analysis tasks are strongly associated with image data quality. When developing modern deep learning algorithms, rather than relying on subjec…
Controlling False Positive/Negative Rates for Deep-Learning-Based Prostate Cancer Detection on Multiparametric MR images
Zhe Min, Fernando J. Bianco, Qianye Yang +4
Prostate cancer (PCa) is one of the leading causes of death for men worldwide. Multi-parametric magnetic resonance (mpMR) imaging has emerged as a non-invasive diagnostic tool for…
Transfer Learning of Deep Spatiotemporal Networks to Model Arbitrarily Long Videos of Seizures
Fernando Pérez-García, Catherine Scott, Rachel Sparks +2
Detailed analysis of seizure semiology, the symptoms and signs which occur during a seizure, is critical for management of epilepsy patients. Inter-rater reliability using qualitat…
A self-supervised learning strategy for postoperative brain cavity segmentation simulating resections
Fernando Pérez-García, Reuben Dorent, Michele Rizzi +9
Accurate segmentation of brain resection cavities (RCs) aids in postoperative analysis and determining follow-up treatment. Convolutional neural networks (CNNs) are the state-of-th…
Zero-shot super-resolution with a physically-motivated downsampling kernel for endomicroscopy
Agnieszka Barbara Szczotka, Dzhoshkun Ismail Shakir, Matthew J. Clarkson +2
Super-resolution (SR) methods have seen significant advances thanks to the development of convolutional neural networks (CNNs). CNNs have been successfully employed to improve the…