Purpose To develop and evaluate a deep learning (DL) approach to extract rich information
from high‐resolution computed tomography (HRCT) of patients with chronic obstructive …

Biomarker estimation methods from medical images have traditionally followed a segment-
and-measure strategy. Deep-learning regression networks have changed such a paradigm …

Background Hyperpolarized gas MRI is a functional lung imaging modality capable of
visualizing regional lung ventilation with exceptional detail within a single breath. However …

Rationale and Objectives A standard lung template could improve population-level analyses
for computed tomography (CT) scans of the lung. We develop a fully automated …

Background: Both lung lobe segmentation and lung fissure segmentation are useful in the
clinical diagnosis and evaluation of lung disease. It is often of clinical interest to quantify …

Schistosomiasis is a prevalent cause of pulmonary arterial hypertension (PAH), currently
classified as group 1 pulmonary hypertension (PH)[1]. In comparison to other aetiologies of …

Biomarker inference from biomedical images is one of the main tasks of medical image
analysis. Standard techniques follow a segmentation-and-measure strategy, where the …