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Computer Methods and Programs in Biomedicine|February 1, 1992
Patient-number-based computerized medical records in Crete. A tool for planning and assessment of primary health careA Isacsson, A D Koutis, M Cedervall, et al.
Computer Methods and Programs in Biomedicine|January 18, 2005
Explicit solutions for a class of indirect pharmacodynamic response modelsP Jordan, R Gieschke
Computer Methods and Programs in Biomedicine|January 18, 2005
Power calculation for the likelihood ratio-test when comparing two dependent intraclass correlation coefficientsB Giraudeau, R Porcher, J Y Mary
Computer Methods and Programs in Biomedicine|January 18, 2005
A computer program to estimate the parameters of covariate dependent higher order Markov modelRafiqul Islam Chowdhury, M Ataharul Islam, Makhdoom Ali Shah, et al.
Computer Methods and Programs in Biomedicine|November 22, 2021
Displacement voxelization to resolve mesh-image mismatch: Application in deriving dense white matter fiber strainsSongbai Ji, Wei Zhao
Computer Methods and Programs in Biomedicine|November 22, 2021
Reinforcement strategy for medial open-wedge high tibial osteotomy: a finite element evaluation of the additional opposite screw technique and bone graftsXing-Wen Zhao, Zheng-Rui Fan, Jian-Xiong Ma, et al.
Computer Methods and Programs in Biomedicine|January 15, 2022
Bone suppression on pediatric chest radiographs via a deep learning-based cascade modelKyungjin Cho, Jiyeon Seo, Sunggu Kyung, et al.
Computer Methods and Programs in Biomedicine|January 16, 2022
ExAID: A multimodal explanation framework for computer-aided diagnosis of skin lesionsAdriano Lucieri, Muhammad Naseer Bajwa, Stephan Alexander Braun, et al.
Computer Methods and Programs in Biomedicine|January 16, 2022
Saliency map-guided hierarchical dense feature aggregation framework for breast lesion classification using ultrasound imageXiaohui Di, Shengzhou Zhong, Yu Zhang
Computer Methods and Programs in Biomedicine|January 17, 2022
iPro-GAN: A novel model based on generative adversarial learning for identifying promoters and their strengthHuijuan Qiao, Shengli Zhang, Tian Xue, et al.
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