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Visual Computing for Industry, Biomedicine, and Art|November 18, 2024
Computational analysis of variability and uncertainty in the clinical reference on magnetic resonance imaging radiomics: modelling and performanceCindy Xue, Jing Yuan, Gladys G Lo, et al.
Visual Computing for Industry, Biomedicine, and Art|December 2, 2024
Energy consumption forecasting for laser manufacturing of large artifacts based on fusionable transfer learningLinxuan Wang, Jinghua Xu, Shuyou Zhang, et al.
Visual Computing for Industry, Biomedicine, and Art|July 17, 2024
Revolutionizing anemia detection: integrative machine learning models and advanced attention mechanismsMuhammad Ramzan, Jinfang Sheng, Muhammad Usman Saeed, et al.
Visual Computing for Industry, Biomedicine, and Art|February 5, 2026
MetaChest: generalized few-shot learning of pathologies from chest X-raysBerenice Montalvo-Lezama, Gibran Fuentes-Pineda
Visual Computing for Industry, Biomedicine, and Art|December 10, 2025
Comprehensive review of machine learning and deep learning techniques for epileptic seizure detection and prediction based on neuroimaging modalitiesKhadija Slama, Ali Yahyaouy, Jamal Riffi, et al.
Visual Computing for Industry, Biomedicine, and Art|December 23, 2024
Semi-supervised contour-driven broad learning system for autonomous segmentation of concealed prohibited baggage itemsDivya Velayudhan, Abdelfatah Ahmed, Taimur Hassan, et al.
Visual Computing for Industry, Biomedicine, and Art|January 17, 2025
Explainable machine learning framework for cataracts recognition using visual featuresXiao Wu, Lingxi Hu, Zunjie Xiao, et al.
Visual Computing for Industry, Biomedicine, and Art|January 11, 2024
CT-based radiomics: predicting early outcomes after percutaneous transluminal renal angioplasty in patients with severe atherosclerotic renal artery stenosisJia Fu, Mengjie Fang, Zhiyong Lin, et al.
Visual Computing for Industry, Biomedicine, and Art|September 23, 2024
Noise suppression in photon-counting computed tomography using unsupervised Poisson flow generative modelsDennis Hein, Staffan Holmin, Timothy Szczykutowicz, et al.
Visual Computing for Industry, Biomedicine, and Art|July 4, 2023
DB-DCAFN: dual-branch deformable cross-attention fusion network for bacterial segmentationJingkun Wang, Xinyu Ma, Long Cao, et al.
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