NewEvery arXiv paper, its researchers & institutions — mapped.
papers

Publications (9)

cs.CV2017

Ensembles of Multiple Models and Architectures for Robust Brain Tumour Segmentation

Konstantinos Kamnitsas, Wenjia Bai, Enzo Ferrante +8

cs.CV2019

Weakly Supervised Estimation of Shadow Confidence Maps in Fetal Ultrasound Imaging

Qingjie Meng, Matthew Sinclair, Veronika Zimmer +11

cs.CV2018

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

Yuanwei Li, Bishesh Khanal, Benjamin Hou +8

cs.CV2018

Weakly Supervised Localisation for Fetal Ultrasound Images

Nicolas Toussaint, Bishesh Khanal, Matthew Sinclair +4

eess.IV2019

Confident Head Circumference Measurement from Ultrasound with Real-time Feedback for Sonographers

Samuel Budd, Matthew Sinclair, Bishesh Khanal +6

The paper presents a probabilistic deep learning system that provides real-time feedback on the confidence of fetal head circumference measurements from ultrasound, helping sonogra…

#fetal ultrasound#head circumference measurement#real-time feedback#deep learning
cs.CV2018

Fast Multiple Landmark Localisation Using a Patch-based Iterative Network

Yuanwei Li, Amir Alansary, Juan J. Cerrolaza +7

cs.CV2018

A Comprehensive Approach for Learning-based Fully-Automated Inter-slice Motion Correction for Short-Axis Cine Cardiac MR Image Stacks

Giacomo Tarroni, Ozan Oktay, Matthew Sinclair +7

cs.CV2018

Human-level Performance On Automatic Head Biometrics In Fetal Ultrasound Using Fully Convolutional Neural Networks

Matthew Sinclair, Christian F. Baumgartner, Jacqueline Matthew +9

cs.CV2018

Automated cardiovascular magnetic resonance image analysis with fully convolutional networks

Wenjia Bai, Matthew Sinclair, Giacomo Tarroni +20