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09/07/2023
CenTime: Event-Conditional Modelling of Censoring in Survival Analysis
Survival analysis is a valuable tool for estimating the time until speci...
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07/29/2023
A 3D deep learning classifier and its explainability when assessing coronary artery disease
Early detection and diagnosis of coronary artery disease (CAD) could sav...
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07/29/2023
A data-centric deep learning approach to airway segmentation
The morphology and distribution of airway tree abnormalities enables dia...
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05/02/2023
Expectation Maximization Pseudo Labelling for Segmentation with Limited Annotations
We study pseudo labelling and its generalisation for semi-supervised seg...
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03/19/2023
A hybrid CNN-RNN approach for survival analysis in a Lung Cancer Screening study
In this study, we present a hybrid CNN-RNN approach to investigate long-...
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08/30/2022
Airway measurement by refinement of synthetic images improves mortality prediction in idiopathic pulmonary fibrosis
Several chronic lung diseases, like idiopathic pulmonary fibrosis (IPF) ...
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08/22/2022
Optimising Chest X-Rays for Image Analysis by Identifying and Removing Confounding Factors
During the COVID-19 pandemic, the sheer volume of imaging performed in a...
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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...
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03/30/2022
Enhancing Cancer Prediction in Challenging Screen-Detected Incident Lung Nodules Using Time-Series Deep Learning
Lung cancer is the leading cause of cancer-related mortality worldwide. ...
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03/21/2022
Survival Analysis for Idiopathic Pulmonary Fibrosis using CT Images and Incomplete Clinical Data
Idiopathic Pulmonary Fibrosis (IPF) is an inexorably progressive fibroti...
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03/19/2022
Learning Morphological Feature Perturbations for Calibrated Semi-Supervised Segmentation
We propose MisMatch, a novel consistency-driven semi-supervised segmenta...
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11/19/2021
Evaluation of automated airway morphological quantification for assessing fibrosing lung disease
Abnormal airway dilatation, termed traction bronchiectasis, is a typical...
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10/23/2021
MisMatch: Learning to Change Predictive Confidences with Attention for Consistency-Based, Semi-Supervised Medical Image Segmentation
The lack of labels is one of the fundamental constraints in deep learnin...
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04/25/2021
Learning to Address Intra-segment Misclassification in Retinal Imaging
Accurate multi-class segmentation is a long-standing challenge in medica...
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07/31/2020
Disentangling Human Error from the Ground Truth in Segmentation of Medical Images
Recent years have seen increasing use of supervised learning methods for...
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07/29/2020
Learning To Pay Attention To Mistakes
As evidenced in visual results in <cit.><cit.><cit.><cit.><cit.>, the pe...
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05/19/2020
The challenges of deploying artificial intelligence models in a rapidly evolving pandemic
The COVID-19 pandemic, caused by the severe acute respiratory syndrome c...
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09/16/2019
Reproducibility of an airway tapering measurement in CT with application to bronchiectasis
Purpose: This paper proposes a pipeline to acquire a scalar tapering mea...
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09/14/2019
Tapering Analysis of Airways with Bronchiectasis
Bronchiectasis is the permanent dilation of airways. Patients with the d...
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06/28/2019