Magnetic resonance imaging (MRI) is an inherently slow imaging modality, since it acquires multi-dimensional k-space data through 1-D free induction decay or echo signals. This often limits the use of MRI, especially for high resolution or dynamic imaging. Accordingly, many investigators has developed various acceleration techniques to allow fast MR imaging. For the last two…
BMC Biomedical Engineering Template
Write in a clean editor, then format for BMC Biomedical Engineering in one click — DocuGuru applies the official BMC (BioMed Central) template with numbered references and exports a submission-ready PDF plus the editable LaTeX source. Free to start.
About the BMC Biomedical Engineering format
BMC Biomedical Engineering is a peer-reviewed journal published by BMC (BioMed Central), covering Muscle activation and electromyography studies, Balance, Gait, and Falls Prevention, Neuroscience and Neural Engineering. Over its lifetime it has published 115 papers, which have received 2,110 citations.
| Publisher | BMC (BioMed Central) |
|---|---|
| Reference style | Numbered (Vancouver) Numbered — [1], [2] in the text 1. Smith A, Jones B, Lee C. A representative article title. BMC Biomedical Engineering. 2023;12(3):45–58.
Formats any DOI in BMC Biomedical Engineering style. No sign-up. |
| Publishes research in | Muscle activation and electromyography studies Balance, Gait, and Falls Prevention Neuroscience and Neural Engineering EEG and Brain-Computer Interfaces Prosthetics and Rehabilitation Robotics |
| ISSN | 2524-4426 |
| Citation impact (2-yr) | 3.58 |
| h-index | 24 |
| i10-index | 50 |
| Article processing charge | $1,054 |
| Open access | Yes — indexed in DOAJ |
| Top institutions publishing here | Jimma University |
| Journal website | link.springer.com |
| You get | A submission-ready PDF and the editable LaTeX source — ready to submit. |
Papers published in BMC Biomedical Engineering per year
Citation impact of BMC Biomedical Engineering by publication year
Citations each year’s papers have accumulated so far — the most recent years are still building up.
Most-cited papers in BMC Biomedical Engineering
BACKGROUND: Liver cancer is the sixth most common cancer worldwide. It is mostly diagnosed with a computed tomography scan. Nowadays deep learning methods have been used for the segmentation of the liver and its tumor from the computed tomography (CT) scan images. This research mainly focused on segmenting liver and tumor from the abdominal CT…
Adhesions represent a major burden in clinical practice, particularly following abdominal, intrauterine, pericardial and tendon surgical procedures. Adhesions are initiated by a disruption in the epithelial or mesothelial layer of tissue, which leads to fibrin adhesion sites due to the downregulation of fibrinolytic activity and an increase in fibrin deposition. Hence, the metabolic events involved…
Many people suffer from movement disability due to amputation or neurological diseases. Fortunately, with modern neurotechnology now it is possible to intercept motor control signals at various points along the neural transduction pathway and use that to drive external devices for communication or control. Here we will review the latest developments in human motor decoding.…
BACKGROUND: Since nuclei segmentation in histopathology images can provide key information for identifying the presence or stage of a disease, the images need to be assessed carefully. However, color variation in histopathology images, and various structures of nuclei are two major obstacles in accurately segmenting and analyzing histopathology images. Several machine learning methods heavily rely…