User profiles for Anne-Noelle Frix
 | AN FrixMD Verified email at chuliege.be Cited by 836 |
A review in radiomics: making personalized medicine a reality via routine imaging
…, L Deprez, F Zerka, D Danthine, AN Frix… - Medicinal research …, 2022 - Wiley Online Library
Radiomics is the quantitative analysis of standard‐of‑care medical imaging; the information
obtained can be applied within clinical decision support systems to create diagnostic, …
obtained can be applied within clinical decision support systems to create diagnostic, …
[HTML][HTML] Development of a clinical decision support system for severity risk prediction and triage of COVID-19 patients at hospital admission: an international …
Background The outbreak of coronavirus disease 2019 (COVID-19) has globally strained
medical resources and caused significant mortality. Objective To develop and validate a …
medical resources and caused significant mortality. Objective To develop and validate a …
[HTML][HTML] Positive effects of vitamin D supplementation in patients hospitalized for COVID-19: a randomized, double-blind, placebo-controlled trial
Retrospective studies showed a relationship between vitamin D status and COVID-19
severity and mortality, with an inverse relation between SARS-CoV-2 positivity and circulating …
severity and mortality, with an inverse relation between SARS-CoV-2 positivity and circulating …
[HTML][HTML] Radiomics in lung diseases imaging: state-of-the-art for clinicians
Artificial intelligence (AI) has increasingly been serving the field of radiology over the last 50
years. As modern medicine is evolving towards precision medicine, offering personalized …
years. As modern medicine is evolving towards precision medicine, offering personalized …
[HTML][HTML] Asthma and COPD are not risk factors for ICU stay and death in case of SARS-CoV2 infection
Background Asthmatics and COPD patients have more severe outcomes with viral infections
than people without obstructive disease. Objective To evaluate if obstructive diseases are …
than people without obstructive disease. Objective To evaluate if obstructive diseases are …
[HTML][HTML] Development and validation of an automated radiomic CT signature for detecting COVID-19
…, L Deprez, F Zerka, D Danthine, AN Frix… - Diagnostics, 2020 - mdpi.com
The coronavirus disease 2019 (COVID-19) outbreak has reached pandemic status. Drastic
measures of social distancing are enforced in society and healthcare systems are being …
measures of social distancing are enforced in society and healthcare systems are being …
[HTML][HTML] Could KL-6 levels in COVID-19 help to predict lung disease?
Background Coronavirus disease COVID-19 has become a public health emergency of
international concern. Together with the quest for an effective treatment, the question of the post-…
international concern. Together with the quest for an effective treatment, the question of the post-…
Distinction of lymphoma from sarcoidosis on 18F-FDG PET/CT: evaluation of radiomics-feature–guided machine learning versus human reader performance
…, N Withofs, A Jadoul, C Derwael, AN Frix… - Journal of Nuclear …, 2022 - Soc Nuclear Med
Sarcoidosis and lymphoma often share common features on 18 F-FDG PET/CT, such as
intense hypermetabolic lesions in lymph nodes and multiple organs. We aimed at developing …
intense hypermetabolic lesions in lymph nodes and multiple organs. We aimed at developing …
[HTML][HTML] Can predicting COVID-19 mortality in a European cohort using only demographic and comorbidity data surpass age-based prediction: An externally validated …
Objective To establish whether one can build a mortality prediction model for COVID-19
patients based solely on demographics and comorbidity data that outperforms age alone. Such …
patients based solely on demographics and comorbidity data that outperforms age alone. Such …
[HTML][HTML] Diagnosis of idiopathic pulmonary fibrosis in high-resolution computed tomography scans using a combination of handcrafted radiomics and deep learning
Purpose To develop handcrafted radiomics (HCR) and deep learning (DL) based automated
diagnostic tools that can differentiate between idiopathic pulmonary fibrosis (IPF) and non-…
diagnostic tools that can differentiate between idiopathic pulmonary fibrosis (IPF) and non-…