Signal Analysis and Biomedical Imaging for Precision Medicine
Topic Information
Dear Colleagues,
This Topic highlights the potential of signal analysis and biomedical imaging to revolutionize healthcare by enabling rapid and accurate diagnoses through meticulously examining biological signals and medical images. Signal analysis uncovers hidden patterns in functional data, such as heartbeats or brainwaves, aiding in early disease detection and monitoring. Biomedical imaging, encompassing techniques like MRI, CT, and ultrasound, provides visual representations of internal structures and processes. Combining these two imprtant tools will empower healthcare professionals to make efficient decisions, with improved patient outcomes. The Topic suggests a focus on practical applications of technology to address a significant global challenge, with a commitment to engineering for a better world. Featured work may involve collaborations between engineers, computer scientists, and medical professionals, thus fostering interdisciplinary research.
Dr. Surbhi Bhatia Khan
Prof. Mo Saraee
Topic Editors
Keywords
- biomedical image processing
- machine learning for biomedical applications
- deep learning for medical informatics
- personalized medicine
- precision medicine
- privacy-preserving AI for medical data
- advances in signal analysis in healthcare
- computer-aided design for telemedicine applications
- biomedical image and signal retrieval using generative AI
Participating Journals
| Journal Name | Impact Factor | CiteScore | Launched Year | First Decision (median) | APC | |
|---|---|---|---|---|---|---|
Applied Sciences
|
2.5 | 5.3 | 2011 | 17.8 Days | CHF 2400 | Submit |
Bioengineering
|
3.8 | 4.0 | 2014 | 15.6 Days | CHF 2700 | Submit |
Diagnostics
|
3.0 | 4.7 | 2011 | 20.5 Days | CHF 2600 | Submit |
Journal of Imaging
|
2.7 | 5.9 | 2015 | 20.9 Days | CHF 1800 | Submit |
Signals
|
- | 3.2 | 2020 | 26.1 Days | CHF 1000 | Submit |
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