Toward a common coordinate framework for the human body
Understanding the genetic and molecular drivers of phenotypic heterogeneity across
individuals is central to biology. As new technologies enable fine-grained and spatially …
individuals is central to biology. As new technologies enable fine-grained and spatially …
Pulmonary hypertension in association with lung disease: quantitative CT and artificial intelligence to the rescue? State-of-the-art review
Accurate phenotyping of patients with pulmonary hypertension (PH) is an integral part of
informing disease classification, treatment, and prognosis. The impact of lung disease on PH …
informing disease classification, treatment, and prognosis. The impact of lung disease on PH …
Pulmonary emphysema subtypes defined by unsupervised machine learning on CT scans
Background Treatment and preventative advances for chronic obstructive pulmonary
disease (COPD) have been slow due, in part, to limited subphenotypes. We tested if …
disease (COPD) have been slow due, in part, to limited subphenotypes. We tested if …
Chronic obstructive pulmonary disease: thoracic CT texture analysis and machine learning to predict pulmonary ventilation
Background Fixed airflow limitation and ventilation heterogeneity are common in chronic
obstructive pulmonary disease (COPD). Conventional noncontrast CT provides airway and …
obstructive pulmonary disease (COPD). Conventional noncontrast CT provides airway and …
Deep CNN for COPD identification by Multi-View snapshot integration of 3D airway tree and lung field
Background Chronic obstructive pulmonary disease (COPD) is a complex and irreversible
respiratory disease with potential morphological abnormalities of the airway and lung fields …
respiratory disease with potential morphological abnormalities of the airway and lung fields …
Collaborative cohort of cohorts for COVID-19 research (C4R) study: study design
EC Oelsner, A Krishnaswamy, PP Balte… - American journal of …, 2022 - academic.oup.com
Abstract The Collaborative Cohort of Cohorts for COVID-19 Research (C4R) is a national
prospective study of adults comprising 14 established US prospective cohort studies …
prospective study of adults comprising 14 established US prospective cohort studies …
Latent traits of lung tissue patterns in former smokers derived by dual channel deep learning in computed tomography images
Chronic obstructive pulmonary disease (COPD) is a heterogeneous disease and the
traditional variables extracted from computed tomography (CT) images may not be sufficient …
traditional variables extracted from computed tomography (CT) images may not be sufficient …
Classification and quantification of emphysema using a multi-scale residual network
L Peng, L Lin, H Hu, H Li, Q Chen… - IEEE journal of …, 2019 - ieeexplore.ieee.org
Automated tissue classification is an essential step for quantitative analysis and treatment of
emphysema. Although many studies have been conducted in this area, there still remain two …
emphysema. Although many studies have been conducted in this area, there still remain two …
Novel subtypes of pulmonary emphysema based on spatially-informed lung texture learning: the multi-ethnic study of Atherosclerosis (MESA) COPD study
Pulmonary emphysema overlaps considerably with chronic obstructive pulmonary disease
(COPD), and is traditionally subcategorized into three subtypes previously identified on …
(COPD), and is traditionally subcategorized into three subtypes previously identified on …
Subject2Vec: generative-discriminative approach from a set of image patches to a vector
We propose an attention-based method that aggregates local image features to a subject-
level representation for predicting disease severity. In contrast to classical deep learning that …
level representation for predicting disease severity. In contrast to classical deep learning that …