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IEEE Journal of Biomedical and Health Informatics
IF
4.22
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1547
Papers 1531
1 page of 154 pages (1,531 results)
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#1Eleftheria Tzamali (FORTH: Foundation for Research & Technology – Hellas)H-Index: 4
#2Georgios Tzedakis (FORTH: Foundation for Research & Technology – Hellas)H-Index: 3
Last.Vangelis Sakkalis (FORTH: Foundation for Research & Technology – Hellas)H-Index: 18
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Metabolic reprogramming is a hallmark of cancer. The main aim of this paper is to integrate a genome-scale metabolic description of tumor cells into a tumor growth model that accounts for the spatiotemporally heterogeneous tumor microenvironment, in order to study the effects of microscopic characteristics on tumor evolution. A lactate maximization metabolic strategy that allows near-optimal growth solution, while maximizing lactate secretion, is assumed. The proposed sub-cellular metabolic mode...
1 CitationsSource
#1Andrius Lauraitis (KTU: Kaunas University of Technology)H-Index: 2
#2Rytis Maskeliunas (KTU: Kaunas University of Technology)H-Index: 6
Last.Marcin Wozniak (Silesian University of Technology)H-Index: 9
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Background and Objective: New technology enables constant boost to the powers of mobile devices, which in the previous years have transformed from simple mobile phones to smart phones. Computational powers of these electronics enable actions that previously were possible only for computers. By the use of special applications, we may benefit from sensors and multimedia capabilities of operating systems. Therefore, a new era for devoted implementations opens, in which a smart application can take ...
4 CitationsSource
#1S. Bermúdez i Badia (Madeira Interactive Technologies Institute)H-Index: 20
#2Luis Velez Quintero (Madeira Interactive Technologies Institute)H-Index: 1
Last.Andrea Gaggioli (UCSC: Catholic University of the Sacred Heart)H-Index: 30
view all 7 authors...
Here, we introduce the design and preliminary validation of a general-purpose architecture for affective-driven procedural content generation in virtual reality (VR) applications in mental health and wellbeing. The architecture supports seven commercial physiological sensing technologies and can be deployed in immersive and non-immersive VR systems. To demonstrate the concept, we developed the “The Emotional Labyrinth,” a non-linear scenario in which navigation in a procedurally generated three-...
2 CitationsSource
#1Griet Goovaerts (Katholieke Universiteit Leuven)H-Index: 4
#2Sibasankar Padhy (Katholieke Universiteit Leuven)H-Index: 1
Last.Sabine Van Huffel (Katholieke Universiteit Leuven)H-Index: 67
view all 6 authors...
Objective: Fragmented QRS (fQRS) is an accessible biomarker and indication of myocardial scarring that can be detected from the electrocardiogram (ECG). Nowadays, fQRS scoring is done on a visual basis, which is time consuming and leads to subjective results. This study proposes an automated method to detect and quantify fQRS in a continuous way using features extracted from variational mode decomposition (VMD) and phase-rectified signal averaging (PRSA). Methods: In the proposed framework, QRS ...
3 CitationsSource
#1Shikha Chaganti (Vandy: Vanderbilt University)H-Index: 4
#2Louise A. Mawn (Vandy: Vanderbilt University)H-Index: 16
Last.Thomas A. Lasko (Vandy: Vanderbilt University)H-Index: 13
view all 8 authors...
Composite models that combine medical imaging with electronic medical records (EMR) improve predictive power when compared to traditional models that use imaging alone. The digitization of EMR provides potential access to a wealth of medical information, but presents new challenges in algorithm design and inference. Previous studies, such as Phenome Wide Association Study (PheWAS), have shown that EMR data can be used to investigate the relationship between genotypes and clinical conditions. Her...
1 CitationsSource
#1Sara Santiso (UPV/EHU: University of the Basque Country)H-Index: 3
#2Alicia Pérez (UPV/EHU: University of the Basque Country)H-Index: 7
Last.Arantza Casillas (UPV/EHU: University of the Basque Country)H-Index: 9
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This work focuses on the detection of adverse drug reactions (ADRs) in electronic health records (EHRs) written in Spanish. The World Health Organization underlines the importance of reporting ADRs for patients’ safety. The fact is that ADRs tend to be under-reported in daily hospital praxis. In this context, automatic solutions based on text mining can help to alleviate the workload of experts. Nevertheless, these solutions pose two challenges: 1) EHRs show high lexical variability, the charact...
3 CitationsSource
#1Punitha Namadurai (Indian Institute of Technology Madras)H-Index: 1
#2Vardhini Padmanabhan (Indian Institute of Technology Madras)H-Index: 1
Last.Ramakrishnan Swaminathan (Indian Institute of Technology Madras)H-Index: 5
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Objectives: The objectives of this paper are to examine the source of multifractality in uterine electromyography (EMG) signals and to study the progression of pregnancy in the term (gestation period > 37 weeks) conditions using multifractal detrending moving average (MFDMA) algorithm. Methods: The signals for the study, considered from an online database, are obtained from the surface of abdomen during the second (T1) and third trimester (T2). The existence of multifractality is tested using Hu...
3 CitationsSource
#1Ruoxuan Cui (SJTU: Shanghai Jiao Tong University)H-Index: 1
#2Manhua Liu (SJTU: Shanghai Jiao Tong University)H-Index: 7
Hippocampus is one of the first involved regions in Alzheimer's disease (AD) and mild cognitive impairment (MCI), a prodromal stage of AD. Hippocampal atrophy is a validated, easily accessible, and widely used biomarker for AD diagnosis. Most of existing methods compute the shape and volume features for hippocampus analysis using structural magnetic resonance images (MRI). However, the regions adjacent to hippocampus may be relevant to AD, and the visual features of the hippocampal region are im...
2 CitationsSource
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#1Georgios Ioannidis (FORTH: Foundation for Research & Technology – Hellas)H-Index: 3
#2Thomas G. Maris (UoC: University of Crete)H-Index: 26
Last.Kostas Marias (FORTH: Foundation for Research & Technology – Hellas)H-Index: 18
view all 5 authors...
MRI Imaging biomarkers (IBs) have the potential to deliver quantitative cancer descriptors of pathophysiology for non-invasively screening, diagnosing, and monitoring cancer patients across the cancer continuum. Despite a worldwide effort to standardize IBs involving major cancer organizations, significant variability of MR-based imaging biomarker across sites still hampers their clinical translation calling for more research in the field. To this end, in the present study quantitative and semi-...
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Top fields of study
Image segmentation
Pattern recognition
Computer vision
Computer science
Feature extraction