34 citations · 34 across the 6 of their papers we have counts for
5 papers · 1 filter
FairPIVARA: Reducing and Assessing Biases in CLIP-Based Multimodal Models
Diego A. B. Moreira, Alef Iury Ferreira, Jhessica Silva +10
Despite significant advancements and pervasive use of vision-language models, a paucity of studies has addressed their ethical implications. These models typically require extensiv…
The Performance of Transferability Metrics does not Translate to Medical Tasks
Levy Chaves, Alceu Bissoto, Eduardo Valle +1
Transfer learning boosts the performance of medical image analysis by enabling deep learning (DL) on small datasets through the knowledge acquired from large ones. As the number of…
Test-Time Selection for Robust Skin Lesion Analysis
Alceu Bissoto, Catarina Barata, Eduardo Valle +1
Skin lesion analysis models are biased by artifacts placed during image acquisition, which influence model predictions despite carrying no clinical information. Solutions that addr…
Artifact-Based Domain Generalization of Skin Lesion Models
Alceu Bissoto, Catarina Barata, Eduardo Valle +1
Deep Learning failure cases are abundant, particularly in the medical area. Recent studies in out-of-distribution generalization have advanced considerably on well-controlled synth…
Towards Automated Melanoma Screening: Exploring Transfer Learning Schemes
Afonso Menegola, Michel Fornaciali, Ramon Pires +2
Deep learning is the current bet for image classification. Its greed for huge amounts of annotated data limits its usage in medical imaging context. In this scenario transfer learn…