Robust and Generalisable Segmentation of Subtle Epilepsy-causing Lesions: a Graph Convolutional Approach

1 code implementation • 2 Jun 2023 • Hannah Spitzer, Mathilde Ripart, Abdulah Fawaz, Logan Z. J. Williams, MELD project, Emma Robinson, Juan Eugenio Iglesias, Sophie Adler, Konrad Wagstyl

On a multi-centre dataset of 1015 participants with surface-based features and manual lesion masks from structural MRI data, the proposed GCN achieved an AUC of 0. 74, a significant improvement against a previously used vertex-wise multi-layer perceptron (MLP) classifier (AUC 0. 64).

Lesion Detection Semantic Segmentation +1

A Deep Generative Model of Neonatal Cortical Surface Development

no code implementations • 15 Jun 2022 • Abdulah Fawaz, Logan Z. Williams, A. David Edwards, Emma Robinson

The neonatal cortical surface is known to be affected by preterm birth, and the subsequent changes to cortical organisation have been associated with poorer neurodevelopmental outcomes.

Biomechanical modelling of brain atrophy through deep learning

no code implementations • 14 Dec 2020 • Mariana da Silva, Kara Garcia, Carole H. Sudre, Cher Bass, M. Jorge Cardoso, Emma Robinson

We present a proof-of-concept, deep learning (DL) based, differentiable biomechanical model of realistic brain deformations.

Data Augmentation

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

no code implementations • 7 Aug 2019 • Samuel Budd, Matthew Sinclair, Bishesh Khanal, Jacqueline Matthew, David Lloyd, Alberto Gomez, Nicolas Toussaint, Emma Robinson, Bernhard Kainz

Manual estimation of fetal Head Circumference (HC) from Ultrasound (US) is a key biometric for monitoring the healthy development of fetuses.

Probabilistic Deep Learning