Simulation and synthesis in medical ...
SASHIMI (Workshop) (2024 :)

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  • Simulation and synthesis in medical imaging = 9th International Workshop, SASHIMI 2024, held in conjunction with MICCAI 2024, Marrakesh, Morocco, October 10, 2024 : proceedings /
  • 紀錄類型: 書目-電子資源 : Monograph/item
    正題名/作者: Simulation and synthesis in medical imaging/ edited by Virginia Fernandez ... [et al.].
    其他題名: 9th International Workshop, SASHIMI 2024, held in conjunction with MICCAI 2024, Marrakesh, Morocco, October 10, 2024 : proceedings /
    其他題名: SASHIMI 2024
    其他作者: Fernandez, Virginia.
    團體作者: SASHIMI (Workshop)
    出版者: Cham :Springer Nature Switzerland : : 2025.,
    面頁冊數: xi, 210 p. :ill. (chiefly color), digital ;24 cm.
    內容註: Synthetic Augmentation for Anatomical Landmark Localization using DDPMs. -- AdaptDiff: Cross-Modality Domain Adaptation via Weak Conditional Semantic Diffusion for Retinal Vessel Segmentation. -- Adapted nnU-Net: A Robust Baseline for Cross-Modality Synthesis and Medical Image Inpainting. -- Beyond MR Image Harmonization: Resolution Matters Too. -- Benchmarking Robustness of Endoscopic Depth Estimation with Synthetically Corrupted Data. -- A dual-task mutual learning framework for predicting post-thrombectomy cerebral haemorrhage. -- TSynD: Targeted Synthetic Data Generation for Enhanced Medical Image Classification. -- Beyond Intensity Transforms: Medical Image Synthesis Under Large Deformation. -- Sim2Real in endoscopy segmentation with a novel structure aware image translation. -- Fireflies: Photorealistic Simulation and Optimization of Structured Light Endoscopy. -- Exogenous Agent-Free Synthetic Post-Contrast Imaging with a Cascade of Deep Networks for enhancement Prediction after Tumor Resection. A Parametric-Map Oriented Approach. -- OCT Scans Simulation Framework for Data Augmentation and Controlled Evaluation of Signal Processing Approaches. -- Enhancing Quantitative Image Synthesis through Pretraining and Resolution Scaling for Bone Mineral Density Estimation from a Plain X-ray Image. -- Latent Pollution Model: The Hidden Carbon Footprint in 3D Image Synthesis. -- Synthesizing Scalable CFD-Enhanced Aortic 4D Flow MRI for Assessing Accuracy and Precision of Deep-Learning Image Reconstruction and Segmentation Tasks. -- MedEdit: Counterfactual Diffusion-based Image Editing on Brain MRI. -- Using MR physics for domain generalisation and super-resolution. -- Single-scan mpMRI Calibration of Multi-Species Brain Tumor Dynamics with Mass Effect. -- Annotated Biomedical Video Generation using Denoising Diffusion Probabilistic Models and Flow Fields.
    Contained By: Springer Nature eBook
    標題: Diagnostic imaging - Congresses. - Digital techniques -
    電子資源: https://doi.org/10.1007/978-3-031-73281-2
    ISBN: 9783031732812
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