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A. Lakizadeh

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Open access Sep 2026

A hybrid BiLSTM transformer model for drug synergy prediction

BT-Synergy is presented, a task-specific hybrid deep learning model for drug synergy prediction that integrates BiLSTM modules within Transformer blocks to capture complementary sequential and contextual patterns from SELFIES-based molecular representations and effectively predicts synergistic interactions.

Sahar Abbasi Rostami, A. Lakizadeh · 0 citations
Open access Aug 2026

Unified Iris Segmentation and Recognition with Hybrid Mask2Former-Swin Transformer Architecture for Biometric Authentication

This paper presents an end-to-end Transformer-based architecture that simultaneously learns identity categorization and accurate iris segmentation within a single computational graph, and outperforms traditional two-stage pipelines.

Mustafah Sbahe Sahib, A. Lakizadeh · 0 citations

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