Ring gossip is a practical serverless alternative when data heterogeneity is moderate, and faster-mixing topologies become important as heterogeneity grows, as well as a centralized reference for a stacked LSTM that detects imminent failure on the NASA C-MAPSS turbofan benchmark.
Yusuf Ozturk, Enes Goktekin, Bengisu Atli et al.· 0 citations
Breast density classification is a critical component of breast cancer risk assessment, yet AI models often struggle to generalize across clinical sites due to vendor-specific acquisition styles. In this work, we introduce two new datasets, BreastMammo and DenseMammo, to facilitate robust multi-view mammography researc...
Hong-Yi Pan, Gorkem Durak, H. Aktas et al.· 0 citations
Mixture-of-experts (MoE) models combine specialized predictors under learned routing, offering a principled mechanism for leveraging heterogeneity in medical data. We present a hierarchical multimodal MoE for interstitial lung disease (ILD) classification that integrates a frozen, pre-trained imaging expert with struct...
A. Peltekian, Gorkem Durak, H. Aktas et al.· 0 citations
Most artificial intelligence (AI) models used in radiology are black boxes-they produce predictions without explaining the basis of their outputs, raising concerns about clinical safety, accountability, and trust. To address this, a growing body of methods has been developed to help clinicians understand and evaluate A...
Gorkem Durak, H. Aktas, Tugba Akinci D'Antonoli et al.· Diagnostic and Interventiona...· 0 citations
We use cookies to run the site and, with your consent, for analytics and to show ads.
See our Cookie Policy.
