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Author

Călin-Adrian Popa

2 papers indexed here

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Open access Sep 2026

Privacy-Preserving Federated Learning with Layer 2 Blockchain Anchoring for Auditable Clinical Trial Eligibility Screening

Matching patients to clinical trials with large language models is technically feasible, but the prevailing methodology fine-tunes commercial models through external interfaces, transmitting sensitive patient records to third parties, and the resulting screening decisions lack a record that an external auditor can veri...

A. Artenie, C. Morar, Călin-Adrian Popa et al. · 0 citations
Jul 2026

JEPADepth: Masked Predictive Representation Learning for Self-Supervised Monocular Depth Estimation

JEPADepth is competitive with state-of-the-art transformer-based approaches and outperforms strong CNN-based baselines on the standard benchmark and achieves the best or near-best performance among the compared methods on both Make3D and Cityscapes across multiple metrics.

Ionuta Grigore, Călin-Adrian Popa · 0 citations

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