TEMDiff trains a 3D diffusion model on simulated FIB-SEM to TEM tilt series to reconstruct limited-angle electron tomography volumes, outperforming prior methods and generalizing to real data from tilt ranges as narrow as 8 degrees.
A review of deep learning ct reconstruction from incomplete projection data,
2 Pith papers cite this work. Polarity classification is still indexing.
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2025 2verdicts
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An I²SB diffusion model for CT FOV extension delivers RMSE of 49.8 HU on simulated data and 152.0 HU on real data with 0.19 s per-slice inference, over 700 times faster than cDDPM.
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Limited-Angle Tomography Reconstruction via Projector Guided 3D Diffusion
TEMDiff trains a 3D diffusion model on simulated FIB-SEM to TEM tilt series to reconstruct limited-angle electron tomography volumes, outperforming prior methods and generalizing to real data from tilt ranges as narrow as 8 degrees.
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Efficient Image-to-Image Schr\"odinger Bridge for CT Field of View Extension
An I²SB diffusion model for CT FOV extension delivers RMSE of 49.8 HU on simulated data and 152.0 HU on real data with 0.19 s per-slice inference, over 700 times faster than cDDPM.