Concept
Receiver operating characteristic
Related publications (32)
Computation of sensitivity coefficients in fixed source simulations with SERPENT2
Within the scope of the implementation of a nuclear data pipeline aiming at producing the best possible evaluated nuclear data files, a major point is the production of relevant sensitivity coefficients when including integral benchmark information. Thanks ...
Lausanne2024Multimodal fusion of liquid biopsy and CT enhances differential diagnosis of early-stage lung adenocarcinoma
Jiancheng Yang, Li Zhang, Jun Lu, Hua Zhong, Yunhua Zhang
This research explores the potential of multimodal fusion for the differential diagnosis of early-stage lung adenocarcinoma (LUAD) (tumor sizes < 2 cm). It combines liquid biopsy biomarkers, specifically extracellular vesicle long RNA (evlRNA) and the comp ...
Berlin2024Parental status and markers of brain and cellular age: A 3D convolutional network and classification study
Recent research shows prominent effects of pregnancy and the parenthood transition on structural brain characteristics in humans. Here, we present a comprehensive study of how parental status and number of children born/fathered links to markers of brain a ...
Pergamon-Elsevier Science Ltd2024Deep learning approach for identification of H II regions during reionization in 21-cm observations - II. Foreground contamination
Jean-Paul Richard Kneib, Emma Elizabeth Tolley, Tianyue Chen, Michele Bianco
The upcoming Square Kilometre Array Observatory will produce images of neutral hydrogen distribution during the epoch of reionization by observing the corresponding 21-cm signal. However, the 21-cm signal will be subject to instrumental limitations such as ...
Oxford Univ Press2024Review on Uric Acid Recognition by MOFs with a Future in Machine Learning
Uric acid (UA) is produced from purine metabolism and serves as a prevalent biomarker for multiple diseases including cancer. Hyperuricemia or hypouricemia can cause multiple dysfunctions throughout the biological processes. Consequently, there is a pressi ...
Washington2023Assessing real-world gait with digital technology? Validation, insights and recommendations from the Mobilise-D consortium
Kamiar Aminian, Anisoara Ionescu, Abolfazl Soltani, Francesca Salis
Background: Although digital mobility outcomes (DMOs) can be readily calculated from real-world data collected with wearable devices and ad-hoc algorithms, technical validation is still required. The aim of this paper is to comparatively assess and validat ...
BMC2023DeepBreath-automated detection of respiratory pathology from lung auscultation in 572 pediatric outpatients across 5 countries
Martin Jaggi, Mary-Anne Hartley, Juliane Dervaux, Tatjana Chavdarova, Daniel Mueller, Julien Niklas Heitmann, Daniel Hinjos García
The interpretation of lung auscultation is highly subjective and relies on non-specific nomenclature. Computer-aided analysis has the potential to better standardize and automate evaluation. We used 35.9 hours of auscultation audio from 572 pediatric outpa ...
NATURE PORTFOLIO2023Deep learning diagnostic and severity-stratification for interstitial lung diseases and chronic obstructive pulmonary disease in digital lung auscultations and ultrasonography: clinical protocol for an observational case-control study
BackgroundInterstitial lung diseases (ILD), such as idiopathic pulmonary fibrosis (IPF) and non-specific interstitial pneumonia (NSIP), and chronic obstructive pulmonary disease (COPD) are severe, progressive pulmonary disorders with a poor prognosis. Prom ...
BMC2023DeepBND: A machine learning approach to enhance multiscale solid mechanics
Annalisa Buffa, Simone Deparis, Pablo Antolin Sanchez, Felipe Figueredo Rocha
Effective properties of materials with random heterogeneous structures are typically determined by homogenising the mechanical quantity of interest in a window of observation. The entire problem setting encompasses the solution of a local PDE and some aver ...
2023