The lung image database consortium (LIDC) and image database resource initiative (IDRI): a completed reference database of lung nodules on CT scans

…, EJR Van Beek, D Yankelevitz, AM Biancardi… - Medical …, 2011 - Wiley Online Library
Purpose: The development of computer‐aided diagnostic (CAD) methods for lung nodule
detection, classification, and quantitative assessment can be facilitated through a well‐…

The Lung Image Database Consortium (LIDC): a comparison of different size metrics for pulmonary nodule measurements

AP Reeves, AM Biancardi, TV Apanasovich… - Academic radiology, 2007 - Elsevier
RATIONALE AND OBJECTIVES: The goal was to investigate the effects of choosing between
different metrics in estimating the size of pulmonary nodules as a factor both of nodule …

[HTML][HTML] Artificial intelligence in periodontology: a scoping review

J Scott, AM Biancardi, O Jones, D Andrew - Dentistry Journal, 2023 - mdpi.com
Artificial intelligence (AI) is the development of computer systems whereby machines can
mimic human actions. This is increasingly used as an assistive tool to help clinicians diagnose …

Automated aorta segmentation in low-dose chest CT images

Y Xie, J Padgett, AM Biancardi, AP Reeves - International journal of …, 2014 - Springer
Purpose Abnormalities of aortic surface and aortic diameter can be related to cardiovascular
disease and aortic aneurysm. Computer-based aortic segmentation and measurement may …

[HTML][HTML] Large-scale investigation of deep learning approaches for ventilated lung segmentation using multi-nuclear hyperpolarized gas MRI

JR Astley, AM Biancardi, PJC Hughes, H Marshall… - Scientific Reports, 2022 - nature.com
Respiratory diseases are leading causes of mortality and morbidity worldwide. Pulmonary
imaging is an essential component of the diagnosis, treatment planning, monitoring, and …

Patterns of regional lung physiology in cystic fibrosis using ventilation magnetic resonance imaging and multiple-breath washout

…, PJC Hughes, AM Biancardi, M Wildman… - European …, 2018 - Eur Respiratory Soc
Hyperpolarised helium-3 ( 3 He) ventilation magnetic resonance imaging (MRI) and multiple-breath
washout (MBW) are sensitive methods for detecting lung disease in cystic fibrosis (…

A public image database to support research in computer aided diagnosis

AP Reeves, AM Biancardi, D Yankelevitz… - … Conference of the …, 2009 - ieeexplore.ieee.org
The Public Lung Database to address drug response (PLD) has been developed to support
research in computer aided diagnosis (CAD). Originally established for applications …

129Xe and Free‐Breathing 1H Ventilation MRI in Patients With Cystic Fibrosis: A Dual‐Center Study

…, LJ Smith, AM Biancardi… - Journal of Magnetic …, 2023 - Wiley Online Library
Background Free‐breathing 1 H ventilation MRI shows promise but only single‐center
validation has yet been performed against methods which directly image lung ventilation in …

A Dual‐Channel Deep Learning Approach for Lung Cavity Estimation From Hyperpolarized Gas and Proton MRI

JR Astley, AM Biancardi, H Marshall… - Journal of Magnetic …, 2023 - Wiley Online Library
Background Hyperpolarized gas MRI can quantify regional lung ventilation via biomarkers,
including the ventilation defect percentage (VDP). VDP is computed from segmentations …

[HTML][HTML] PhysVENeT: a physiologically-informed deep learning-based framework for the synthesis of 3D hyperpolarized gas MRI ventilation

JR Astley, AM Biancardi, H Marshall, LJ Smith… - Scientific Reports, 2023 - nature.com
Functional lung imaging modalities such as hyperpolarized gas MRI ventilation enable
visualization and quantification of regional lung ventilation; however, these techniques require …