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20172023
most citedGeomstats: A Python Package for Riemannian Geometry in Machine Learning

96 citations · 306 across the 17 of their papers we have counts for

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Showing 2018Show all

5 papers · 1 filter

cs.CV2018★ 5 cited

Weakly Supervised Estimation of Shadow Confidence Maps in Fetal Ultrasound Imaging

Qingjie Meng, Matthew Sinclair, Veronika Zimmer +11

Detecting acoustic shadows in ultrasound images is important in many clinical and engineering applications. Real-time feedback of acoustic shadows can guide sonographers to a stand…

cs.CV2018

EchoFusion: Tracking and Reconstruction of Objects in 4D Freehand Ultrasound Imaging without External Trackers

Bishesh Khanal, Alberto Gomez, Nicolas Toussaint +11

Ultrasound (US) is the most widely used fetal imaging technique. However, US images have limited capture range, and suffer from view dependent artefacts such as acoustic shadows. C…

cs.CV2018

Automatic View Planning with Multi-scale Deep Reinforcement Learning Agents

Amir Alansary, Loic Le Folgoc, Ghislain Vaillant +11

We propose a fully automatic method to find standardized view planes in 3D image acquisitions. Standard view images are important in clinical practice as they provide a means to pe…

cs.CV2018★ 66 cited

Standard Plane Detection in 3D Fetal Ultrasound Using an Iterative Transformation Network

Yuanwei Li, Bishesh Khanal, Benjamin Hou +8

Standard scan plane detection in fetal brain ultrasound (US) forms a crucial step in the assessment of fetal development. In clinical settings, this is done by manually manoeuvring…

cs.CV2018

Computing CNN Loss and Gradients for Pose Estimation with Riemannian Geometry

Benjamin Hou, Nina Miolane, Bishesh Khanal +7

Pose estimation, i.e. predicting a 3D rigid transformation with respect to a fixed co-ordinate frame in, SE(3), is an omnipresent problem in medical image analysis with application…