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Article
Open AccessDelineating excess comorbidities in idiopathic pulmonary fibrosis: an observational study
Our study examined whether prevalent and incident comorbidities are increased in idiopathic pulmonary fibrosis (IPF) patients when compared to matched chronic obstructive pulmonary disease (COPD) patients and ...
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Article
Frequency and Nature of Genomic Alterations in ERBB2-Altered Urothelial Bladder Cancer
Human epidermal growth factor-2 (HER2) overexpression is an oncogenic driver in many solid tumors, including urothelial bladder cancer (UBC). In addition, activating mutations in the ERBB2 gene have been shown to...
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Article
Open AccessA formula for predicting emphysema extent in combined idiopathic pulmonary fibrosis and emphysema
No single pulmonary function test captures the functional effect of emphysema in idiopathic pulmonary fibrosis (IPF). Without experienced radiologists, other methods are needed to determine emphysema extent. H...
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Article
Open AccessAutomated airway quantification associates with mortality in idiopathic pulmonary fibrosis
The study examined whether quantified airway metrics associate with mortality in idiopathic pulmonary fibrosis (IPF).
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Article
Open AccessAuthor Correction: Delineating COVID-19 subgroups using routine clinical data identifies distinct in-hospital outcomes
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Article
Urothelial Bladder Cancer: Genomic Alterations in Fibroblast Growth Factor Receptor
Genomic alterations in fibroblast growth factor receptor (FGFR) genes have been linked to a reduced response to immune checkpoint inhibitors. Some of the immune microenvironment of urothelial bladder cancer (UBC)...
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Article
Open AccessDelineating COVID-19 subgroups using routine clinical data identifies distinct in-hospital outcomes
The COVID-19 pandemic has been a great challenge to healthcare systems worldwide. It highlighted the need for robust predictive models which can be readily deployed to uncover heterogeneities in disease course...
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Article
Open AccessChest radiograph classification and severity of suspected COVID-19 by different radiologist groups and attending clinicians: multi-reader, multi-case study
To quantify reader agreement for the British Society of Thoracic Imaging (BSTI) diagnostic and severity classification for COVID-19 on chest radiographs (CXR), in particular agreement for an indeterminate CXR ...
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Chapter and Conference Paper
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 an emergency setting for COVID-19 diagnosis has resulted in a wide variability of clinical CXR acquisitions. This variation is seen in the...
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Chapter
Imaging Approach to Interstitial Lung Disease
Imaging with computed tomography is a central and essential component of the diagnostic pathway when evaluating patients with interstitial lung diseases. The salient imaging features required to identify a usu...
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Article
Open AccessA multiscale X-ray phase-contrast tomography dataset of a whole human left lung
Technological advancements in X-ray imaging using bright and coherent synchrotron sources now allows the decoupling of sample size and resolution while maintaining high sensitivity to the microstructures of so...
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Article
Serial decline in lung volume parameters on computed tomography (CT) predicts outcome in idiopathic pulmonary fibrosis (IPF)
In patients with IPF, this study aimed (i) to examine the relationship between serial change in CT parameters of lung volume and lung function, (ii) to identify the prognostic value of serial change in CT para...
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Chapter and Conference Paper
Airway Measurement by Refinement of Synthetic Images Improves Mortality Prediction in Idiopathic Pulmonary Fibrosis
Several chronic lung diseases, like idiopathic pulmonary fibrosis (IPF) are characterised by abnormal dilatation of the airways. Quantification of airway features on computed tomography (CT) can help character...
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Chapter and Conference Paper
Bayesian Pseudo Labels: Expectation Maximization for Robust and Efficient Semi-supervised Segmentation
This paper concerns pseudo labelling in segmentation. Our contribution is fourfold. Firstly, we present a new formulation of pseudo-labelling as an Expectation-Maximization (EM) algorithm for clear statistica...
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Chapter and Conference Paper
Prognostic Imaging Biomarker Discovery in Survival Analysis for Idiopathic Pulmonary Fibrosis
Imaging biomarkers derived from medical images play an important role in diagnosis, prognosis, and therapy response assessment. Develo** prognostic imaging biomarkers which can achieve reliable survival pred...
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Chapter and Conference Paper
Learning to Address Intra-segment Misclassification in Retinal Imaging
Accurate multi-class segmentation is a long-standing challenge in medical imaging, especially in scenarios where classes share strong similarity. Segmenting retinal blood vessels in retinal photographs is one ...
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Chapter and Conference Paper
Prevention of Fault Attacks in ASCON Authenticated Cipher Using Cellular Automata
ASCON is a sponge function based authenticated encryption (AE) scheme chosen in CAESAR competition for lightweight applications. Its suitability for high performance applications make it desirable in environme...
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Chapter and Conference Paper
Strengthening ACORN Authenticated Cipher with Cellular Automata
The authenticated encryption (AE) scheme ACORN v3, a CAESAR competition finalist, has been shown to be particularly vulnerable against Differential Fault Attack (DFA), even more so than its previous version AC...
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Chapter
IIIB: Characterization of Penile Cancers with Comprehensive Genomic Profiling
Penile squamous cell carcinoma (PSCC) can be a devastating disease when major local recurrences and distant spread take place. In the modern era of targeted and immunotherapy approaches to cancer treatments, r...
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Article
The challenges of deploying artificial intelligence models in a rapidly evolving pandemic
The attention and resources of AI researchers have been captured by COVID-19. However, successful adoption of AI models in the fight against the pandemic is facing various challenges, including moving clinical...
