most citedBoosting multiple sclerosis lesion segmentation through attention mechanism

75 citations · 83 across the 5 of their papers we have counts for

collaborators

5 papers

eess.IV2024

ICPR 2024 Competition on Multiple Sclerosis Lesion Segmentation -- Methods and Results

Alessia Rondinella, Francesco Guarnera, Elena Crispino +5

This report summarizes the outcomes of the ICPR 2024 Competition on Multiple Sclerosis Lesion Segmentation (MSLesSeg). The competition aimed to develop methods capable of automatic…

eess.IV2024★ 2 cited

SynthBA: Reliable Brain Age Estimation Across Multiple MRI Sequences and Resolutions

Lemuel Puglisi, Alessia Rondinella, Linda De Meo +3

Brain age is a critical measure that reflects the biological ageing process of the brain. The gap between brain age and chronological age, referred to as brain PAD (Predicted Age D…

eess.IV2023★ 75 cited

Boosting multiple sclerosis lesion segmentation through attention mechanism

Alessia Rondinella, Elena Crispino, Francesco Guarnera +7

Magnetic resonance imaging is a fundamental tool to reach a diagnosis of multiple sclerosis and monitoring its progression. Although several attempts have been made to segment mult…

eess.IV2023★ 6 cited

Early detection of hip periprosthetic joint infections through CNN on Computed Tomography images

Francesco Guarnera, Alessia Rondinella, Oliver Giudice +6

Early detection of an infection prior to prosthesis removal (e.g., hips, knees or other areas) would provide significant benefits to patients. Currently, the detection task is carr…

eess.IV2023

UniCT DMI Solution for 3rd COV19D Competition on COVID-19 Detection through attention-based CNN for CT Scan

Alessia Rondinella, Francesco Guarnera, Oliver Giudice +3

This paper presents our solution for the first challenge of the 3rd Covid-19 competition, which is part of the "AI-enabled Medical Image Analysis Workshop" organized by IEEE Intern…