Integrating Latent Classes in the Bayesian Shared Parameter Joint Model of Longitudinal and Survival Outcomes [PDF]
arXiv, 2018 Cystic fibrosis is a chronic lung disease which requires frequent patient monitoring to maintain lung function over time and minimize onset of acute respiratory events known as pulmonary exacerbations. From the clinical point of view it is important to characterize the association between key biomarkers such as $FEV_1$ and time-to first exacerbation ...
arxiv
Side-effects to antibiotics in cystic fibrosis. I: ocular changes in relation to antibiotic administration and to severity of pulmonary involvement. [PDF]
, 1966 C G Keith +2 more
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Interactive user interface based on Convolutional Auto-encoders for annotating CT-scans [PDF]
arXiv, 2019 High resolution computed tomography (HRCT) is the most important imaging modality for interstitial lung diseases, where the radiologists are interested in identifying certain patterns, and their volumetric and regional distribution. The use of machine learning can assist the radiologists with both these tasks by performing semantic segmentation.
arxiv
Transient Pulmonary Infiltrations in Cystic Fibrosis due to Allergic Aspergillosis [PDF]
, 1965 M B Mearns, Warren Young, J C Batten
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Pulmonary fibrosis associated with hypersensitivity to gold salts. [PDF]
, 1976 D M Geddes, J Brostoff
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A perspective view on widespread pulmonary fibrosis. [PDF]
, 1974 M Turner‐Warwick
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4D VQ-GAN: Synthesising Medical Scans at Any Time Point for Personalised Disease Progression Modelling of Idiopathic Pulmonary Fibrosis [PDF]
arXivUnderstanding the progression trajectories of diseases is crucial for early diagnosis and effective treatment planning. This is especially vital for life-threatening conditions such as Idiopathic Pulmonary Fibrosis (IPF), a chronic, progressive lung disease with a prognosis comparable to many cancers.
arxiv
An automated pipeline for computation and analysis of functional ventilation and perfusion lung MRI with matrix pencil decomposition: TrueLung [PDF]
arXivPurpose: To introduce and evaluate TrueLung, an automated pipeline for computation and analysis of free-breathing and contrast-agent free pulmonary functional MRI. Material and Methods: time-resolved ultra-fast bSSFP acquisitions are transferred to TrueLung, which includes image quality checks, image registration, and computation of perfusion and ...
arxiv
A joint model for (un)bounded longitudinal markers, competing risks, and recurrent events using patient registry data [PDF]
arXivJoint models for longitudinal and survival data have become a popular framework for studying the association between repeatedly measured biomarkers and clinical events. Nevertheless, addressing complex survival data structures, especially handling both recurrent and competing event times within a single model, remains a challenge. This causes important
arxiv