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Computers in Biology and Medicine|January 1, 1987
A microcomputer system for on-line collection of blood flow and related physiological dataI Piper, A Guha, C H Tator, et al.Computers in Biology and Medicine|December 23, 2022
An investigation into the hammer toe effects on the lower extremity mechanics and plantar fascia tension: A case for a vicious cycle and progressive damageM Moayedi, A R Arshi, M Salehi, et al.Computers in Biology and Medicine|December 25, 2022
Self-mentoring: A new deep learning pipeline to train a self-supervised U-net for few-shot learning of bio-artificial capsule segmentationArnaud Deleruyelle, Cristian Versari, John KleinComputers in Biology and Medicine|December 25, 2022
Ensemble learning based assessment of the role of transcription factors in gene expressionSuja Subramanian, Tina P George, Jeslin George, et al.Computers in Biology and Medicine|December 26, 2022
AGGN: Attention-based glioma grading network with multi-scale feature extraction and multi-modal information fusionPeishu Wu, Zidong Wang, Baixun Zheng, et al.Computers in Biology and Medicine|December 26, 2022
TC-Net: A Transformer Capsule Network for EEG-based emotion recognitionYi Wei, Yu Liu, Chang Li, et al.Computers in Biology and Medicine|December 26, 2022
Multi-dimensional modeling of nanoparticles transportation from capillary bed into the tumor microenvironmentSina Jafari-Matanagh, Seyed Esmail Razavi, Mir Biuk Ehghaghi Bonab, et al.Computers in Biology and Medicine|January 7, 2023
Data resources and computational methods for lncRNA-disease association predictionNan Sheng, Lan Huang, Yuting Lu, et al.Computers in Biology and Medicine|December 31, 2022
SARS-CoV-2 proteases Mpro and PLpro: Design of inhibitors with predicted high potency and low mammalian toxicity using artificial neural networks, ligand-protein docking, molecular dynamics simulations, and ADMET calculationsRoman S Tumskiy, Anastasiia V Tumskaia, Iraida N Klochkova, et al.Computers in Biology and Medicine|December 31, 2022
Retinal blood vessel segmentation by using the MS-LSDNet network and geometric skeleton reconnection methodHongwei Du, Xinyue Zhang, Gang Song, et al.Pageof 1,087