MONY 发表于 2025-3-25 07:19:00
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Conference proceedings 2023rom 16 submissions. They span a wide range of topics relevant to SASHIMI, and reflect recent developments in methods for segmentation, image-to-image translation, super-resolution, and image synthesis. Applications include MRI imaging, echocardiography, PET, and digital pathology..宽敞 发表于 2025-3-25 13:03:08
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978-3-031-44688-7The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature SwitzerlAbominate 发表于 2025-3-26 02:19:32
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,Transformers for CT Reconstruction from Monoplanar and Biplanar Radiographs,ages are first embedded into latent quantized codebook vectors using two different autoencoder networks. We then train a GPT model, to reconstruct the codebook vectors of the CT image, conditioned on the codebook vectors of the x-rays and show that this approach leads to realistic looking images. ToNIL 发表于 2025-3-26 09:02:58
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,Learned Local Attention Maps for Synthesising Vessel Segmentations from T2 MRI,tic vessel segmentations generated from only T2 MRI achieved a mean Dice score of . in testing, compared to state-of-the-art segmentation networks such as transformer U-Net (.) and nnU-net(.), while using only a fraction of the parameters. The main qualitative difference between our synthetic vessel最低点 发表于 2025-3-26 19:38:03
,Unsupervised Heteromodal Physics-Informed Representation of MRI Data: Tackling Data Harmonisation, paired qualitative-quantitative data. Furthermore, we make the proposed model robust to missing data, enabling us to map any arbitrary set of qualitative data from a patient into quantitative Multi-Parametric Maps (MPMs). We demonstrate that the estimated MPMs are a robust and invariant data represe