Nodule detection and generation on chest X-rays: NODE21 Challenge

Autor: Sogancioglu, Ecem, van Ginneken, Bram, Behrendt, Finn, Bengs, Marcel, Schlaefer, Alexander, Radu, Miron, Xu, Di, Sheng, Ke, Scalzo, Fabien, Marcus, Eric, Papa, Samuele, Teuwen, Jonas, Scholten, Ernst Th., Schalekamp, Steven, Hendrix, Nils, Jacobs, Colin, Hendrix, Ward, Sánchez, Clara I, Murphy, Keelin

Pulmonary nodules may be an early manifestation of lung cancer, the leading cause of cancer-related deaths among both men and women. Numerous studies have established that deep learning methods can yield high-performance levels in the detection of lu

Externí odkaz: http://arxiv.org/abs/2401.02192

Artificial Intelligence Applied to Chest X-ray: A Reliable Tool to Assess the Differential Diagnosis of Lung Pneumonia in the Emergency Department

Autor: Davide Ippolito, Cesare Maino, Davide Gandola, Paolo Niccolò Franco, Radu Miron, Vlad Barbu, Marco Bologna, Rocco Corso, Mihaela Elena Breaban

Publikováno v: Diseases, Vol 11, Iss 4, p 171 (2023)

Background: Considering the large number of patients with pulmonary symptoms admitted to the emergency department daily, it is essential to diagnose them correctly. It is necessary to quickly solve the differential diagnosis between COVID-19 and typi

Externí odkaz: https://doaj.org/article/c3ef4fca0be44cefa4f413124d5f8c1e

Framework for Privacy-Preserving Wearable Health Data Analysis: Proof-of-Concept Study for Atrial Fibrillation Detection

Autor: Anamaria Vizitiu, Cosmin-Ioan Nita, Radu Miron Toev, Tudor Suditu, Constantin Suciu, Lucian Mihai Itu

Publikováno v: Applied Sciences, Vol 11, Iss 19, p 9049 (2021)

Medical wearable devices monitor health data and, coupled with data analytics, cloud computing, and artificial intelligence (AI), enable early detection of disease. Privacy issues arise when personal health information is sent or processed outside th

Externí odkaz: https://doaj.org/article/681f1f8de1fc4331a174e66e9ebcaba5

Revitalizing Regression Tasks Through Modern Training Procedures: Applications in Medical Image Analysis for Covid-19 Infection Percentage Estimation

Autor: Radu Miron, Mihaela Elena Breaban

Publikováno v: Lecture Notes in Computer Science ISBN: 9783031133237

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::456440f2d4837fb6931f0f9deed9130d
https://doi.org/10.1007/978-3-031-13324-4_40

Framework for Privacy-Preserving Wearable Health Data Analysis: Proof-of-Concept Study for Atrial Fibrillation Detection

Autor: Constantin Suciu, Lucian Mihai Itu, Cosmin-Ioan Nita, Anamaria Vizitiu, Tudor Suditu, Radu Miron Toev

Publikováno v: Multidisciplinary Digital Publishing Institute
DOAJ-Articles
Issue 19
Applied Sciences
Volume 11
Applied Sciences, Vol 11, Iss 9049, p 9049 (2021)

Medical wearable devices monitor health data and, coupled with data analytics, cloud computing, and artificial intelligence (AI), enable early detection of disease. Privacy issues arise when personal health information is sent or processed outside th

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::506bc3ac35241d13178d9b3a9cd636b8
https://www.mdpi.com/2076-3417/11/19/9049/pdf