output
20152025
most citedStandardized Assessment of Automatic Segmentation of White Matter Hyperintensities and Results of the WMH Segmentation Challenge

309 citations

researchers with a paper here

Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.

collaborating institutions
Showing 2021Show all

8 papers · 1 filter

cs.LG2021★ 188 cited

A Survey of Zero-shot Generalisation in Deep Reinforcement Learning

Robert Kirk, Amy Zhang, Edward Grefenstette +1

The study of zero-shot generalisation (ZSG) in deep Reinforcement Learning (RL) aims to produce RL algorithms whose policies generalise well to novel unseen situations at deploymen…

eess.IV2021★ 27 cited

Improving needle visibility in LED-based photoacoustic imaging using deep learning with semi-synthetic datasets

Mengjie Shi, Tianrui Zhao, Simeon J. West +3

Photoacoustic imaging has shown great potential for guiding minimally invasive procedures by accurate identification of critical tissue targets and invasive medical devices (such a…

cs.CV2021★ 22 cited

Voice-assisted Image Labelling for Endoscopic Ultrasound Classification using Neural Networks

Ester Bonmati, Yipeng Hu, Alexander Grimwood +8

Ultrasound imaging is a commonly used technology for visualising patient anatomy in real-time during diagnostic and therapeutic procedures. High operator dependency and low reprodu…

q-bio.QM2021★ 7 cited

MAGORINO: Magnitude-only fat fraction and R2* estimation with Rician noise modelling

Timothy JP Bray, Alan Bainbridge, Margaret A Hall-Craggs +1

Purpose: Magnitude-based fitting of chemical shift-encoded data enables proton density fat fraction (PDFF) and R2* estimation where complex-based methods fail or when phase data is…

cs.CV2021

Artificial Intelligence in PET: an Industry Perspective

Arkadiusz Sitek, Sangtae Ahn, Evren Asma +6

Artificial intelligence (AI) has significant potential to positively impact and advance medical imaging, including positron emission tomography (PET) imaging applications. AI has t…

eess.IV2021★ 1 cited

Volume of hyperintense inflammation (VHI): a deep learning-enabled quantitative imaging biomarker of inflammation load in spondyloarthritis

Carolyna Hepburn, Alexis Jones, Alan Bainbridge +6

Short inversion time inversion recovery (STIR) MRI is widely used in clinical practice to identify and quantify inflammation in axial spondyloarthritis. However, assessment of STIR…

eess.IV2021★ 32 cited

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…

eess.IV2021★ 31 cited

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…