SynthRAD2025
PulseAugur coverage of SynthRAD2025 — every cluster mentioning SynthRAD2025 across labs, papers, and developer communities, ranked by signal.
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Mamba architecture adapted for MRI-to-CT synthesis in radiotherapy planning
Researchers have adapted the SegMamba architecture, originally designed for image segmentation, to perform MRI-to-CT synthesis for radiotherapy planning. This novel approach utilizes state-space modeling to capture comp…
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New diffusion model synthesizes high-quality CT images from CBCT scans
Researchers have developed a novel diffusion-based conditional generative model, named EqDiff-CT, designed to synthesize high-quality computed tomography (CT) images from cone-beam computed tomography (CBCT) scans. This…
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S1-Omni-Image model unifies scientific image understanding, generation, and editing
Researchers have introduced S1-Omni-Image, an open-weight multimodal model designed for scientific image tasks including understanding, generation, and editing. This model integrates a reasoning backbone (S1-VL-32B) wit…
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SynthRAD2025 challenge shows AI improves synthetic CT for radiotherapy
The SynthRAD2025 challenge report details advancements in generating synthetic computed tomography (sCT) images for radiotherapy planning. This year's challenge focused on converting MRI or cone-beam CT (CBCT) into CT-e…
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Diffusion model speeds up medical image translation with minimal quality loss
Researchers have developed VS-DDPM, a novel diffusion model designed for efficient medical image translation. This framework significantly speeds up inference while maintaining high generative quality, demonstrating str…