Author

A. Azad

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Open access Sep 2026

Ischemic Stroke Detection, Segmentation, and Volume Estimation using Multi-sequence MRI Data with Missing Sequences

A unified framework that leverages graph neural networks and sequence-specific feature modeling for comprehensive ischemic stroke analysis from MRI is presented, designed to detect ischemic stroke, segment lesions, and estimate lesion volume from multi-sequence MRI data, while accommodating incomplete combinations of M...

Z. Lu, S. Uddin, S. Uribe et al. · medRxiv · 0 citations

Open access Aug 2026

Clinically Generalisable End-to-End Graph Learning for CT Image-Based Multitask Stroke Diagnosis

The Intelligent Integrated Stroke Diagnosis System IISDS is presented, an end-to-end deep learning framework built upon StrokeGNN, a graph-based architecture that integrates 3D contextual feature extraction with U-Net-based 2D lesion segmentation to enable comprehensive stroke analysis from non-contrast CT scans.

Z. Lu, S. Uddin, S. Uribe et al. · medRxiv · 0 citations

Preprint Aug 2026

SciRet: A Compute-Aware Empirical Study of Retrieval and Reranking for Scientific RAG

We introduce SciRet, a compute-aware empirical study of retrieval-augmented generation for scientific question answering over CORD-19. Rather than proposing a new model, we evaluate a fixed scientific RAG pipeline across three corpus scales: 1,034 chunks (1K papers), 5,160 chunks (5K papers), and 15,480 chunks (15K pap...

Kaysarul Anas Apurba, Mahade Hasan, Rofiqul Alam Shehab et al. · 0 citations