research
∙
05/02/2023
Expectation Maximization Pseudo Labelling for Segmentation with Limited Annotations
We study pseudo labelling and its generalisation for semi-supervised seg...
share
research
∙
10/13/2022
An Experiment Design Paradigm using Joint Feature Selection and Task Optimization
This paper presents a subsampling-task paradigm for data-driven task-spe...
research
∙
08/08/2022
Bayesian Pseudo Labels: Expectation Maximization for Robust and Efficient Semi-Supervised Segmentation
This paper concerns pseudo labelling in segmentation. Our contribution i...
research
∙
03/17/2022
Progressive Subsampling for Oversampled Data – Application to Quantitative MRI
We present PROSUB: PROgressive SUBsampling, a deep learning based, autom...
research
∙
03/12/2022
VAFO-Loss: VAscular Feature Optimised Loss Function for Retinal Artery/Vein Segmentation
Estimating clinically-relevant vascular features following vessel segmen...
research
∙
04/25/2021
Learning to Address Intra-segment Misclassification in Retinal Imaging
Accurate multi-class segmentation is a long-standing challenge in medica...
research
∙
06/09/2020
Deep learning to estimate the physical proportion of infected region of lung for COVID-19 pneumonia with CT image set
Utilizing computed tomography (CT) images to quickly estimate the severi...
research
∙
09/26/2019
A Symmetric Equilibrium Generative Adversarial Network with Attention Refine Block for Retinal Vessel Segmentation
Objective: Recognizing retinal fundus vessel abnormity is vital to early...
research
∙
09/11/2019