Johannes Thalhammer
PulseAugur coverage of Johannes Thalhammer — every cluster mentioning Johannes Thalhammer across labs, papers, and developer communities, ranked by signal.
1 day(s) with sentiment data
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Generative AI models improve X-ray detector gap interpolation
Researchers have adapted generative models, specifically Wasserstein GAN with gradient penalty (WGAN-GP) and Pix2Pix, for interpolating gaps in photon-counting X-ray imaging detectors. These models were trained on nanoC…
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Hybrid CNN Framework Reduces CT Scan Artifacts
Researchers have developed a novel hybrid deep-learning framework to reduce artifacts in undersampled 3D cone-beam CT scans. This method combines a 2D U-Net for initial feature extraction from individual slices with a 3…
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New self-supervised methods improve low-dose CT denoising for medical imaging
Researchers have developed new self-supervised learning methods for denoising low-dose CT scans, a crucial step for reducing radiation exposure in medical imaging. One approach, Progressive $\mathcal{J}$-Invariant Learn…