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Author

N. Maghsoodi

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Preprint Aug 2026

P3CA: Encoder-Agnostic Interpretation of Vision Foundation Model Embeddings via Spatial Probing

Position-prompted PCA (P3CA), an encoder-agnostic method for local probing of channel-rich spatial tensors, is proposed and implemented in EmbedVision, an interactive 3D Slicer-based workflow, and evaluated across natural images, colorectal pathology foundation-model embeddings, and spatial transcriptomic tensors.

A. Jamzad, Dilakshan Srikanthan, F. Akbarifar et al. · 0 citations
#artificial intelligence Open access Dec 2025

A Dataset and Benchmarks for Atrial Fibrillation Detection from Electrocardiograms of Intensive Care Unit Patients

This study demonstrates promising potential for using AI to build an automatic patient monitoring system using feature-based classifiers, deep learning, and ECG foundation models across three data-driven artificial intelligence approaches for high-performing AF detection.

Sarah Nassar, N. Maghsoodi, Sophia Mannina et al. · 0 citations

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