Lung pattern classification for interstitial lung diseases using a deep convolutional neural network

…, S Christodoulidis, L Ebner… - IEEE transactions on …, 2016 - ieeexplore.ieee.org
Automated tissue characterization is one of the most crucial components of a computer aided
diagnosis (CAD) system for interstitial lung diseases (ILDs). Although much research has …

[HTML][HTML] Pulmonary function and radiological features 4 months after COVID-19: first results from the national prospective observational Swiss COVID-19 lung study

SA Guler, L Ebner, C Aubry-Beigelman… - European respiratory …, 2021 - Eur Respiratory Soc
Background The infectious coronavirus disease 2019 (COVID-19) pandemic is an ongoing
global healthcare challenge. Up to one-third of hospitalised patients develop severe …

Multisource transfer learning with convolutional neural networks for lung pattern analysis

…, M Anthimopoulos, L Ebner… - IEEE journal of …, 2016 - ieeexplore.ieee.org
Early diagnosis of interstitial lung diseases is crucial for their treatment, but even experienced
physicians find it difficult, as their clinical manifestations are similar. In order to assist with …

Semantic segmentation of pathological lung tissue with dilated fully convolutional networks

…, S Christodoulidis, L Ebner… - IEEE journal of …, 2018 - ieeexplore.ieee.org
Early and accurate diagnosis of interstitial lung diseases (ILDs) is crucial for making treatment
decisions, but can be challenging even for experienced radiologists. The diagnostic …

Using hyperpolarized 129Xe MRI to quantify regional gas transfer in idiopathic pulmonary fibrosis

…, RM Smigla, TG O'Riordan, J Sundy, L Ebner… - Thorax, 2018 - thorax.bmj.com
Background Assessing functional impairment, therapeutic response and disease
progression in patients with idiopathic pulmonary fibrosis (IPF) continues to be challenging. …

[HTML][HTML] Computer-aided diagnosis of pulmonary fibrosis using deep learning and CT images

…, SG Mougiakakou, L Ebner - Investigative …, 2019 - journals.lww.com
Objectives The objective of this study is to assess the performance of a computer-aided
diagnosis (CAD) system (INTACT system) for the automatic classification of high-resolution …

[HTML][HTML] State-of-the-art imaging of liver fibrosis and cirrhosis: A comprehensive review of current applications and future perspectives

A Huber, L Ebner, JT Heverhagen, A Christe - European journal of …, 2015 - Elsevier
Objective The purpose of this article is to provide a comprehensive overview of imaging
findings in patients with hepatic fibrosis and cirrhosis; and to describe which radiological/clinical …

Performance of ultralow-dose CT with iterative reconstruction in lung cancer screening: limiting radiation exposure to the equivalent of conventional chest X-ray …

A Huber, J Landau, L Ebner, Y Bütikofer, L Leidolt… - European …, 2016 - Springer
Objective To investigate the detection rate of pulmonary nodules in ultralow-dose CT acquisitions.
Materials and methods In this lung phantom study, 232 nodules (115 solid, 117 ground…

The role of hyperpolarized 129xenon in MR imaging of pulmonary function

L Ebner, J Kammerman, B Driehuys… - European journal of …, 2017 - Elsevier
In the last two decades, functional imaging of the lungs using hyperpolarized noble gases
has entered the clinical stage. Both helium ( 3 He) and xenon ( 129 Xe) gas have been …

[HTML][HTML] A comprehensive review of imaging findings in COVID-19-status in early 2021

…, H Schöder, A Christe, S Mougiakakou, L Ebner - European journal of …, 2021 - Springer
Medical imaging methods are assuming a greater role in the workup of patients with COVID-19,
mainly in relation to the primary manifestation of pulmonary disease and the tissue …