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BMC Medical Imaging|December 8, 2022
Convolutional neural network -based phantom image scoring for mammography quality controlVeli-Matti Sundell, Teemu Mäkelä, Anne-Mari Vitikainen, et al.
BMC Medical Imaging|July 5, 2022
Automated brain volumetric measures with AccuBrain: version comparison in accuracy, reproducibility and application for diagnosisLei Zhao, Yishan Luo, Vincent Mok, et al.
BMC Medical Imaging|October 9, 2020
Utility of deep learning networks for the generation of artificial cardiac magnetic resonance images in congenital heart diseaseGerhard-Paul Diller, Julius Vahle, Robert Radke, et al.
BMC Medical Imaging|October 16, 2020
Utilization of integrated angiography-CT interventional radiology suites at a tertiary cancer centerJoseph P Erinjeri, Raphael Doustaly, Grégoire Avignon, et al.
BMC Medical Imaging|January 31, 2020
Patient-adapted organ absorbed dose and effective dose estimates in pediatric 18F-FDG positron emission tomography/computed tomography studiesBrian M Quinn, Yiming Gao, Usman Mahmood, et al.
BMC Medical Imaging|July 16, 2021
Three-stage segmentation of lung region from CT images using deep neural networksMichael Osadebey, Hilde K Andersen, Dag Waaler, et al.
BMC Medical Imaging|October 3, 2020
Repeatability of small lung nodule measurement in low-dose lung screening: a phantom studyYu Du, Gao-Feng Shi, Ya-Ning Wang, et al.
BMC Medical Imaging|January 8, 2020
An enhanced adaptive non-local means algorithm for Rician noise reduction in magnetic resonance brain imagesKaixin Chen, Xiao Lin, Xing Hu, et al.
BMC Medical Imaging|June 22, 2021
The concordance in lesion detection and characteristics between the Anatomical Intelligence and conventional breast ultrasound Scan methodJuan Li, Hao Wang, Lu Wang, et al.
BMC Medical Imaging|June 23, 2021
Detecting neonatal acute bilirubin encephalopathy based on T1-weighted MRI images and learning-based approachesMiao Wu, Xiaoxia Shen, Can Lai, et al.
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