Journal of
Biomedical And Health Informatics

J-BHI publishes original papers describing recent advances in the field of biomedical and health informatics where information and communication technologies intersect with health, healthcare, life sciences and biomedicine.
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Highlights

5.223
Impact Factor
0.01291
Eigenfactor
1.084
Article Influence Score
Prof Dimitrios I. Fotiadis
Editor-in-chief
Editor-in-chief

"Dr. Fotiadis is Prof. of Biomedical Engineering and Director of the Unit of Medical Technology and Intelligent Information Systems (MEDLAB), University of Ioannina, Ioannina, Greece. Dr Fotiadis is the founder of MEDLAB, which now is one of the leading centers in Europe in Biomedical Engineering with activities ranging from the development of health monitoring systems to big data management and multiscale modelling. The Unit is an active center for many R&D projects and is considered as a center of excellence for human tissues modelling activities with international collaborations with the research community, industry and public organizations. Dr Fotiadis is affiliated researcher of the Biomedical Research Dept. of the Institute of Molecular Biology and Biotechnology, FORTH, and member of the board of Michailideion Cardiac Center.

Dr. Fotiadis’ main research interests include wearable systems, multiscale modelling and intelligent processing of medical and related... Read more

"Dr. Fotiadis is Prof. of Biomedical Engineering and Director of the Unit of Medical Technology and Intelligent Information Systems (MEDLAB), University of Ioannina, Ioannina, Greece. Dr Fotiadis is the founder of MEDLAB, which now is one of the leading centers in Europe in Biomedical Engineering with activities ranging from the development of health monitoring systems to big data management and multiscale modelling. The Unit is an active center for many R&D projects and is considered as a center of excellence for human tissues modelling activities with international collaborations with the research community, industry and public organizations. Dr Fotiadis is affiliated researcher of the Biomedical Research Dept. of the Institute of Molecular Biology and Biotechnology, FORTH, and member of the board of Michailideion Cardiac Center.

Dr. Fotiadis’ main research interests include wearable systems, multiscale modelling and intelligent processing of medical and related data. He developed wearable systems for the monitoring, treatment, motivation and coaching for patients with neurodegenerative diseases and other chronic conditions. Those systems combine a set of sensors and biosensors with decision making tools and patient/ecosystem feedback, as well as behavioral models and patient adherence mechanisms. In modelling, he developed multiscale models for the prediction of atheromatic plaque growth, based on realistic reconstruction of arteries from various imaging modalities. He pioneered the modelling of complex human structures, such as bones, to perform in silico clinical trials of various biomedical systems. He employed machine learning techniques to develop predictive models for chronic diseases, exploiting medical, lifestyle, environmental, and genetic data which are integrated with existing knowledge and models to improve diagnostic and predictive accuracy. He works in the harmonization and integration of data from longitudinal cohorts.

Dr. Fotiadis is the recipient of many awards, including the Academy of Athens Award and active member of the IEEE Engineering in Medicine and Biology Society, being a member of the Technical Committee of Biomedical and Health Informatics and the Chairman of the IEEE EMBS Greek Chapter. Dr. Fotiadis coordinated the organization of many EMBS conferences and other events."

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Updates

IEEE Journal of

Biomedical And Health Informatics

SEPTEMBER 2021
VOLUME 25
ISSUE 9
IJBHA9
25
The IEEE Journal of Biomedical And Health Informatics Volume 25, Issue 9 has been published.
Learning a Deep CNN Denoising Approach Using Anatomical Prior Information Implemented with an Attention Mechanism for Low-dose CT Imaging on Clinical Patient Data from Multiple Anatomical Sites
Dose reduction in computed tomography (CT) has gained considerable attention in clinical applications because it decreases radiation risks. However, a lower dose generates noise in low-dose computed tomography (LDCT) images. Previous deep learning (DL)-based works have investigated ways to improve... Read more
Special Issue on Multi-modal Computing for Biomedical Intelligence Systems
In this issue, vol. 25, issue 9, September 2021, 8 papers are published related to the Special Issue on Multi-modal Computing for Biomedical Intelligence Systems. Please click here to view it, with link in IEEE XPLORE. Learning-Based Computer-Aided Prescription System for... Read more
Featured Articles
Sensor Informatics
In this issue vol. 25, issue 9, September 2021, 7 papers are published related to the topic Sensor Informatics. Please click here to view them, with links in IEEE XPLORE. Non-invasive monitoring of three glucose ranges based on ECG by using... Read more
Featured Articles
Imaging Informatics
In this issue vol. 25, issue 9, September 2021, 14 papers are published related to the topic Imaging Informatics. Please click here to view them, with links in IEEE XPLORE. Learning a Deep CNN Denoising Approach Using Anatomical Prior Information Implemented... Read more
Featured Articles
Medical Informatics
In this issue, vol. 25, issue 9, September 2021, 9 papers are published related to the topic Medical Informatics. Please click here to view them, with links in IEEE XPLORE. A Multichannel Intraluminal Impedance Gastroesophageal Reflux Characterization Algorithm Based on Sparse... Read more
Featured Articles
Bioinformatics
In this issue, vol. 25, issue 9, September 2021, 2 papers are published related to the topic Bioinformatics. Please click here to view it, with link in IEEE XPLORE. rBPDL: Predicting RNA-binding proteins using deep learningNiu, Mengting; Wu, Jin; Zou, Quan;... Read more

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