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Computer Methods and Programs in Biomedicine|June 1, 2025
Towards the use of multiple ROIs for radiomics-based survival modelling: Finding a strategy of aggregating lesionsAgata Małgorzata Wilk, Andrzej Swierniak, Andrea d'Amico, et al.
Computer Methods and Programs in Biomedicine|May 27, 2025
Visual-language foundation models in medical imaging: A systematic review and meta-analysis of diagnostic and analytical applicationsYiyao Sun, Xinran Wen, Yan Zhang, et al.
Computer Methods and Programs in Biomedicine|May 15, 2025
Multi-objective RVEA optimization of a closed-cell segmented stent retriever for balancing biomechanical forcesShuo Wu, Xianming Wang, Bo Wang, et al.
Computer Methods and Programs in Biomedicine|May 14, 2025
UltrasOM: A mamba-based network for 3D freehand ultrasound reconstruction using optical flowRui Sun, Chuanba Liu, Wenshuo Wang, et al.
Computer Methods and Programs in Biomedicine|May 13, 2025
Bayesian adaptive enrichment design in multi-arm clinical trials: The BayesAET package for R usersDenghuang Zhan, Yongdong Ouyang, Fidel Vila-Rodriguez, et al.
Computer Methods and Programs in Biomedicine|June 11, 2025
Cognitive Lab: A dataset of biosignals and HCI features for cognitive process investigationInês Silveira, Rui Varandas, Hugo Gamboa
Computer Methods and Programs in Biomedicine|June 12, 2025
Integration of electrophysiological and mechanical biomarkers in cardiac risk assessment modelsLucia Priego, Maria Teresa Mora, Jordi Llopis-Lorente, et al.
Computer Methods and Programs in Biomedicine|May 12, 2025
AI-driven glomerular morphology quantification: a novel pipeline for assessing basement membrane thickness and podocyte foot process effacement in kidney diseasesMichifumi Yamashita, Natalia Piaseczna, Akira Takahashi, et al.
Computer Methods and Programs in Biomedicine|May 11, 2025
Machine learning-based approaches for distinguishing viral and bacterial pneumonia in paediatrics: A scoping reviewDeclan Rickard, Muhammad Ashad Kabir, Nusrat Homaira
Computer Methods and Programs in Biomedicine|May 8, 2025
An explainable artificial intelligence framework for weaning outcomes prediction using features from electrical impedance tomographyPu Wang, Teng-Hui Chen, Mei-Yun Chang, et al.
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