158 citations
- University College LondonGB23 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
8 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…
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…
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…
Intrapapillary Capillary Loop Classification in Magnification Endoscopy: Open Dataset and Baseline Methodology
Luis C. Garcia-Peraza-Herrera, Martin Everson, Laurence Lovat +6
Purpose. Early squamous cell neoplasia (ESCN) in the oesophagus is a highly treatable condition. Lesions confined to the mucosal layer can be curatively treated endoscopically. We…
DeepReg: a deep learning toolkit for medical image registration
Yunguan Fu, Nina Montaña Brown, Shaheer U. Saeed +14
DeepReg (https://github.com/DeepRegNet/DeepReg) is a community-supported open-source toolkit for research and education in medical image registration using deep learning.