Portfolio by the numbers
Taylor & Francis publishes a vast range of cutting-edge research into Biomedical Engineering, ranging from areas such as biomaterials and biomechanics, to neuroscience, pharmaceutical engineering and physiological science.
Including newly published titles such as Modern Diagnostic X-Ray Sources, now in its 2nd edition, Medical Data Analysis and Processing using Explainable Artificial Intelligence and Computational Modelling and Imaging for SARS-CoV-2 and COVID-19, as well as impactful journals such as Assistive Technology, the official journal of RESNA , Expert Review of Medical Devices, and the Journal of Medical Engineering & Technology, our Biomedical Engineering portfolio is an essential resource for anyone working in the field.
Featured Journals
Assistive Technology is an applied, scientific publication in the multi-disciplinary field of technology for people with disabilities. The journal's purpose is to foster communication among individuals working in all aspects of the assistive technology arena including researchers, developers, clinicians, educators and consumers. The journal will consider papers from all assistive technology applications. Only original papers will be accepted.
Brain-Computer Interfaces (BCI) publishes high quality, original research articles encompassing analysis of theoretical and practical advances in brain-computer interface (BCI) technology. Articles should expand upon novel and innovative research where the methods, analysis and conclusions are robust and of the highest standard.
The Journal of Medical Engineering & Technology is an international, independent and interdisciplinary journal which aims to provide a broad perspective on engineering and technology in the medical setting, including an understanding of the physiological processes underlying disease and disability. It is published eight times a year.
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Featured Books
Medical Data Analysis and Processing using Explainable Artificial Intelligence
The text presents concepts of explainable artificial intelligence (XAI) in solving real world biomedical and healthcare problems. It will serve as an ideal reference text for graduate students and academic researchers in diverse fields of engineering including electrical, electronics and communication, computer, and biomedical
Computational Modelling and Imaging for SARS-CoV-2 and COVID-19
The aim of this book is to present new computational techniques and methodologies for the analysis of the clinical, epidemiological and public health aspects of SARS-CoV-2 and COVID-19 pandemic. The book presents the use of soft computing techniques such as machine learning algorithms for analysis of the epidemiological aspects of the SARS-CoV-2. This book clearly explains novel computational image processing algorithms for the detection of COVID-19 lesions in lung CT and X-ray images. It explores various computational methods for computerized analysis of the SARS-CoV-2 infection including severity assessment.
Handbook of Deep Learning in Biomedical Engineering and Health Informatics
This new volume discusses state-of-the-art deep learning techniques and approaches that can be applied in biomedical systems and health informatics. Deep learning in the biomedical field is an effective method of collecting and analyzing data that can be used for the accurate diagnosis of disease.
Genetic Engineering Volume 1: Principles Mechanism, and Expression
This new 2-volume set explores new research and perspectives in genetic engineering, which enables the precise control of the genetic composition and gene expression of organism. This powerful technology can be used for environmental sustainability, food and nutritional security, medicinal advancement, and more. Genetic Engineering aims to provide a deep understanding of the many aspects of this emerging technology and its diverse applications.
Clark's Essential Guide to Mammography
This easy-to-understand pocketbook in the highly respected Clark’s stable of imaging texts is an invaluable tool and training aid, providing essential information for mammographic positioning, technique and interpretation for mammography practitioners at all levels.
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