7 citations · 8 across the 3 of their papers we have counts for
3 papers
Data Augmentation-Based Unsupervised Domain Adaptation In Medical Imaging
Sebastian Nørgaard Llambias, Mads Nielsen, Mostafa Mehdipour Ghazi
Deep learning-based models in medical imaging often struggle to generalize effectively to new scans due to data heterogeneity arising from differences in hardware, acquisition para…
Deep Learning-Based Assessment of Cerebral Microbleeds in COVID-19
Neus Rodeja Ferrer, Malini Vendela Sagar, Kiril Vadimovic Klein +3
Cerebral Microbleeds (CMBs), typically captured as hypointensities from susceptibility-weighted imaging (SWI), are particularly important for the study of dementia, cerebrovascular…
FAST-AID Brain: Fast and Accurate Segmentation Tool using Artificial Intelligence Developed for Brain
Mostafa Mehdipour Ghazi, Mads Nielsen
Medical images used in clinical practice are heterogeneous and not the same quality as scans studied in academic research. Preprocessing breaks down in extreme cases when anatomy,…