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

309 citations

Showing cs.CVShow all

7 papers · 1 filter

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…

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…

cs.CV2020★ 27 cited

Deep Placental Vessel Segmentation for Fetoscopic Mosaicking

Sophia Bano, Francisco Vasconcelos, Luke M. Shepherd +6

During fetoscopic laser photocoagulation, a treatment for twin-to-twin transfusion syndrome (TTTS), the clinician first identifies abnormal placental vascular connections and laser…

cs.CV2019★ 309 cited

Standardized Assessment of Automatic Segmentation of White Matter Hyperintensities and Results of the WMH Segmentation Challenge

Hugo J. Kuijf, J. Matthijs Biesbroek, Jeroen de Bresser +41

Quantification of cerebral white matter hyperintensities (WMH) of presumed vascular origin is of key importance in many neurological research studies. Currently, measurements are o…

cs.CV2018★ 18 cited

Retrieval and Registration of Long-Range Overlapping Frames for Scalable Mosaicking of In Vivo Fetoscopy

Loïc Peter, Marcel Tella-Amo, Dzhoshkun Ismail Shakir +5

Purpose: The standard clinical treatment of Twin-to-Twin Transfusion Syndrome consists in the photo-coagulation of undesired anastomoses located on the placenta which are responsib…

cs.CV2018

A Log-Euclidean and Total Variation based Variational Framework for Computational Sonography

Jyotirmoy Banerjee, Premal A. Patel, Fred Ushakov +5

We propose a spatial compounding technique and variational framework to improve 3D ultrasound image quality by compositing multiple ultrasound volumes acquired from different probe…

cs.CV2015★ 2 cited

Computer-assisted polyp matching between optical colonoscopy and CT colonography: a phantom study

Holger R. Roth, Thomas E. Hampshire, Emma Helbren +4

Potentially precancerous polyps detected with CT colonography (CTC) need to be removed subsequently, using an optical colonoscope (OC). Due to large colonic deformations induced by…