Visual Computing for Industry Biomedicine and Art
Visual Computing for Industry Biomedicine and Art(英文缩写 VIS COMPUT IND BIOME),ISSN 2096-496X,eISSN 2524-4442 是一本学术期刊。本页汇总该期刊的最新影响因子、分区信息以及最新收录于 PubMed 的文献,帮助您快速了解期刊全貌。
发文量统计区间：2025-09-21 至 2026-09-21，按本站收录文献的发表日期统计。
指标来源：jcr_cas_ifqb
期刊简介
暂无简介。
Visual Computing for Industry Biomedicine and Art 最新收录文献
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1. Lightweight Transformer-based knowledge distillation framework for high-dimensional spatiotemporal radiomics in breast cancer risk prediction.
PMID:作者:日期:2026-09-03Breast cancer exhibits significant spatiotemporal heterogeneity. Traditional radiomics approaches usually rely on low-temporal-resolution imaging and discrete image phases, failing to capture the rapid and continuous kinetic evolution within the tumor microenvironment. Although ultrafast dynamic con…
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2. Text-to-hierarchical three-dimensional scene generation: a new approach for layered three-dimensional modeling from natural language.
PMID:作者:日期:2026-08-26Rapid advancements in generative models have enabled substantial progress in text-to-3D scene synthesis. However, existing approaches often lack hierarchical structure and geometric consistency, limiting their use in complex, editable scene creation. To address this issue, an end-to-end hierarchical…
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3. Hierarchical two-stage ensemble of dilated U-net models for brain tumor segmentation.
PMID:作者:日期:2026-08-26Ensemble methods for image segmentation improve performance by combining predictions from multiple models, yielding more accurate and reliable results. This study presents a two-stage hierarchical framework to enhance the accuracy and stability of brain tumor delineation in magnetic resonance imagin…
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4. Semantic-guided 3D Gaussian splatting for sparse-view reconstruction in industrial digital twins.
PMID:作者:日期:2026-08-17Novel view synthesis, which is essential for three-dimensional (3D) reconstruction, traditionally requires dense image sets and pre-calibrated camera parameters. However, in industrial digital twin applications spatial constraints often limit data acquisition to sparse views that fail to provide the…
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5. Mapping the generative era: a bibliometric and specialty-focused analysis of large language models in healthcare.
PMID:作者:日期:2026-08-14Large language models (LLMs) have been rapidly adopted in healthcare since 2022; however, field-level trends and specialty differences remain poorly characterized. This study aims to map the research landscape of LLMs in healthcare and generate comparative specialty profiles through a bibliometric a…
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6. GCUNet: a graph neural network-based contextual learning network for tertiary lymphoid structure semantic segmentation in whole slide image.
PMID:作者:日期:2026-07-31This study focuses on tertiary lymphoid structure (TLS) semantic segmentation in whole slide images (WSIs). Unlike TLS binary segmentation, TLS semantic segmentation identifies boundaries and maturity and requires the integration of contextual information to discover discriminative features. Owing t…
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7. Aligned and realistic latent diffusion for text-to-motion generation.
PMID:作者:日期:2026-07-20Text-to-motion generation aims to synthesize semantically consistent and naturally coherent motion sequences from natural language descriptions. Given the continuous nature of human motion, diffusion models operating in a continuous latent space offer inherent advantages over vector quantization-bas…
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8. Survey of the intersection of mental maps and visualization.
PMID:作者:日期:2026-07-15The intersection between mental maps and visualization has attracted increasing research attention in recent years, as they exhibit a natural functional complementarity. Mental maps research explores how humans construct in-mind representations of the external world through the view of cognitive sci…
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9. ZACP: enhancing skin lesion classification ability using zero attention and complete perception.
PMID:作者:日期:2026-07-06With the increasing number of dermatology patients owing to ecological deterioration and unhealthy lifestyles, hospitals are experiencing significant diagnostic pressure, and patients are suffering from delayed treatment and poor medical experience. Therefore, there is an urgent need to develop accu…
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10. CRR-Net: a correlation reconstruction and refinement network for deformable medical image registration.
PMID:作者:日期:2026-06-23Deformable image registration is a critical task in medical image analysis. However, existing learning-based methods encounter difficulties in achieving high registration accuracy under large anatomical deformations while maintaining model interpretability. To overcome these limitations, a correlati…