Author

Bahram Jafrasteh

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Preprint Sep 2026

A Dual-Stream Regulated Reconstruction and Segmentation Network with Hierarchical Artifact-Prior Modeling for Ultra-Low-Field Pediatric Neuroimaging

A unified framework for the LISA 2026 Challenge that performs all three tasks together within one inference pipeline, and addresses the scarcity of dense annotations using diffeomorphic registration from atlas to target for label propagation and to regularize anatomical reconstruction.

Bahram Jafrasteh, L. Milecki, Qing-Yu Zhao · 0 citations

Jul 2026

Unifying Active Learning and Semi-Supervised Learning for Medical Image Segmentation

RegAL is proposed, a unified active semi-supervised framework governed by a shared topology-aware Pareto optimization that couples sample acquisition with unlabeled data utilization and consistently outperforms state-of-the-art AL, SSL, and active semi-supervised baselines across Dice and boundary-distance metrics unde...

Bahram Jafrasteh, Cheng Wan, Heejong Kim et al. · arXiv.org · 0 citations