9 citations · 9 across the 2 of their papers we have counts for
2 papers
eess.IV2024
Lite-FBCN: Lightweight Fast Bilinear Convolutional Network for Brain Disease Classification from MRI Image
Dewinda Julianensi Rumala, Reza Fuad Rachmadi, Anggraini Dwi Sensusiati +1
Achieving high accuracy with computational efficiency in brain disease classification from Magnetic Resonance Imaging (MRI) scans is challenging, particularly when both coarse and…
eess.IV2023★ 9 cited
How You Split Matters: Data Leakage and Subject Characteristics Studies in Longitudinal Brain MRI Analysis
Dewinda Julianensi Rumala
Deep learning models have revolutionized the field of medical image analysis, offering significant promise for improved diagnostics and patient care. However, their performance can…