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BEAM3R uses Mamba-3 for faster radiation dose reconstruction

Researchers have developed BEAM3R, a novel framework for accurate and rapid dose calculation in radiation therapy. This system utilizes the Mamba-3 state-space model, eschewing expensive 3D convolutions for a more efficient depth-sequence core. BEAM3R processes 2D beam's-eye-view slices and incorporates physics-based transport conditioning to model dose distribution, achieving high gamma pass rates on the DoseRAD2026 challenge. The framework also includes methods for generating synthetic CT images from MRI data, though this slightly reduces accuracy. AI

IMPACT Introduces a novel Mamba-3 based architecture for medical imaging, potentially improving efficiency and accuracy in radiation therapy planning.

RANK_REASON This is a research paper detailing a novel model architecture for a specific scientific task. [lever_c_demoted from research: ic=1 ai=1.0]

Read on arXiv cs.CV →

AI-generated summary · Google Gemini · from 1 sources. How we write summaries →

BEAM3R uses Mamba-3 for faster radiation dose reconstruction

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This is a research paper detailing a novel model architecture for a specific scientific task. [lever_c_demoted from research: ic=1 ai=1.0]
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COVERAGE [1]

  1. arXiv cs.CV TIER_1 English(EN) · Chen Cheng, Michael Ferraro, James Grover, David E J Waddington, Emily Hewson ·

    BEAM3R: Beam's-eye-view architecture with Mamba-3 for implicit dose reconstruction

    arXiv:2609.04747v1 Announce Type: cross Abstract: To enable accurate and rapid photon control point and proton beamlet dose calculation in the DoseRAD2026 challenge, we present BEAM3R, a dose estimation framework operating in beam's-eye-view (BEV). Our core innovation combines a …