1 citations · 1 across the 2 of their papers we have counts for
3 papers
Disentangling Prompt Dependence to Evaluate Segmentation Reliability in Gynecological MRI
Elodie Germani, Krystel Nyangoh-Timoh, Pierre Jannin +1
Promptable segmentation models (e.g., the Segment Anything Models) enable generalizable, zero-shot segmentation across diverse domains. Although predictions are deterministic for a…
MRIQT: Physics-Aware Diffusion Model for Image Quality Transfer in Neonatal Ultra-Low-Field MRI
Malek Al Abed, Sebiha Demir, Anne Groteklaes +4
Portable ultra-low-field MRI (uLF-MRI, 0.064 T) offers accessible neuroimaging for neonatal care but suffers from low signal-to-noise ratio and poor diagnostic quality compared to…
Bias and Generalizability of Foundation Models across Datasets in Breast Mammography
Elodie Germani, Ilayda Selin Türk, Fatima Zeineddine +2
Over the past decades, computer-aided diagnosis tools for breast cancer have been developed to enhance screening procedures, yet their clinical adoption remains challenged by data…