most citedAdversarial attacks on deep learning models for fatty liver disease classification by modification of ultrasound image reconstruction method

1 citations · 2 across the 2 of their papers we have counts for

collaborators

2 papers

cs.CV2023★ 1 cited

Deployment of Image Analysis Algorithms under Prevalence Shifts

Patrick Godau, Piotr Kalinowski, Evangelia Christodoulou +5

Domain gaps are among the most relevant roadblocks in the clinical translation of machine learning (ML)-based solutions for medical image analysis. While current research focuses o…

eess.IV2020★ 1 cited

Adversarial attacks on deep learning models for fatty liver disease classification by modification of ultrasound image reconstruction method

Michal Byra, Grzegorz Styczynski, Cezary Szmigielski +6

Convolutional neural networks (CNNs) have achieved remarkable success in medical image analysis tasks. In ultrasound (US) imaging, CNNs have been applied to object classification,…