Karavasilis, Efstratios - Search Results

Search collections:

Sort by:	Display results:	Output format:

CERN Document Server	3 records found	Search took 0.89 seconds.

Brain MRI Screening Tool with Federated Learning / Stoklasa, Roman (CERN ; Masaryk U., Brno (main)) ; Stathopoulos, Ioannis (CERN ; Athens Natl. Capodistrian U.) ; Karavasilis, Efstratios (Democritus U., Thrace) ; Efstathopoulos, Efstathios (Athens Natl. Capodistrian U.) ; Dostál, Marek (Masaryk U., Brno (main)) ; Keřkovský, Miloš (Masaryk U., Brno (main)) ; Kozubek, Michal (Masaryk U., Brno (main)) ; Serio, Luigi (CERN)
In clinical practice, we often see significant delays between MRI scans and the diagnosis made by radiologists, even for severe cases. [...]
2024 - 5.

Detailed record

Exploring Multi-Pathology Brain Segmentation: From Volume-Based to Component-Based Deep Learning Analysis / Stathopoulos, Ioannis (CERN ; Athens Natl. Capodistrian U.) ; Stoklasa, Roman (Athens Natl. Capodistrian U. ; Masaryk U., Brno) ; Kouri, Maria Anthi (Athens Natl. Capodistrian U.) ; Velonakis, Georgios (Athens Natl. Capodistrian U.) ; Karavasilis, Efstratios (Democritus U., Thrace) ; Efstathopoulos, Efstathios (Athens Natl. Capodistrian U.) ; Serio, Luigi (Athens Natl. Capodistrian U.)
Detection and segmentation of brain abnormalities using Magnetic Resonance Imaging (MRI) is an important task that, nowadays, the role of AI algorithms as supporting tools is well established both at the research and clinical-production level. While the performance of the state-of-the-art models is increasing, reaching radiologists and other experts’ accuracy levels in many cases, there is still a lot of research needed on the direction of in-depth and transparent evaluation of the correct results and failures, especially in relation to important aspects of the radiological practice: abnormality position, intensity level, and volume. [...]
2024 - 17 p. - Published in : J. Imaging 11 (2024) 6 Fulltext: PDF;

Detailed record

Evaluating Brain Tumor Detection with Deep Learning Convolutional Neural Networks Across Multiple MRI Modalities / Stathopoulos, Ioannis (CERN ; Athens Natl. Capodistrian U.) ; Serio, Luigi (CERN) ; Karavasilis, Efstratios (Democritus U., Thrace) ; Kouri, Maria Anthi (Athens Natl. Capodistrian U.) ; Velonakis, Georgios (Athens Natl. Capodistrian U.) ; Kelekis, Nikolaos (Athens Natl. Capodistrian U.) ; Efstathopoulos, Efstathios (Athens Natl. Capodistrian U.)
Central Nervous System (CNS) tumors represent a significant public health concern due to their high morbidity and mortality rates. Magnetic Resonance Imaging (MRI) has emerged as a critical non-invasive modality for the detection, diagnosis, and management of brain tumors, offering high-resolution visualization of anatomical structures. [...]
2024 - 16 p. - Published in : Journal of Imaging 10 (2024) 296 Fulltext: PDF;

Detailed record

Interested in being notified about new results for this query?
Set up a personal email alert or subscribe to the RSS feed.

Haven't found what you were looking for? Try your search on other servers:
Karavasilis, Efstratios in Amazon Karavasilis, Efstratios in CERN EDMS Karavasilis, Efstratios in CERN Intranet Karavasilis, Efstratios in CiteSeer Karavasilis, Efstratios in Google Books Karavasilis, Efstratios in Google Scholar Karavasilis, Efstratios in Google Web Karavasilis, Efstratios in IEC	Karavasilis, Efstratios in IHS Karavasilis, Efstratios in INSPIRE Karavasilis, Efstratios in ISO Karavasilis, Efstratios in KISS Books/Journals Karavasilis, Efstratios in KISS Preprints Karavasilis, Efstratios in NEBIS Karavasilis, Efstratios in SLAC Library Catalog Karavasilis, Efstratios in Scirus

CERN Document Server

Access articles, reports and multimedia content in HEP

Main menu

CERN Accelerating science