A5026801564- Medical Image Segmentation Techniques
- AI in cancer detection
- Body Composition Measurement Techniques
- Distributed and Parallel Computing Systems
- Artificial Intelligence in Healthcare
- Image Retrieval and Classification Techniques
- Semantic Web and Ontologies
- ECG Monitoring and Analysis
- Biomedical Text Mining and Ontologies
- 3D Shape Modeling and Analysis
- Digital Image Processing Techniques
- Obesity, Physical Activity, Diet
- Cardiovascular Disease and Adiposity
- Nutritional Studies and Diet
- Dialysis and Renal Disease Management
- Medical Imaging Techniques and Applications
- COVID-19 diagnosis using AI
- Cerebrovascular and Carotid Artery Diseases
- Technology Adoption and User Behaviour
- Radiomics and Machine Learning in Medical Imaging
- Coronary Interventions and Diagnostics
- Thermoregulation and physiological responses
- Big Data and Business Intelligence
- Customer churn and segmentation
- Heart Rate Variability and Autonomic Control
Universidad de Ibagué
2020-2024
University of Miami
2022
University of Cuenca
2015-2016
Simón Bolívar University
2002-2014
TU Wien
2004-2005
Instituto de Química y Fisicoquímica Biológicas
1989
There are many barriers to meeting the goal of increasing kidney transplants in United States. It is important understand dialysis and transplant center providers' existing practices identified number patients who evaluated for get wait-listed a transplant.Cross-sectional survey unit staff End Stage Renal Disease Network 6 (Georgia, North Carolina, South Carolina).Ninety-one from all 9 centers region 421 facilities responded survey.N/A.Provider perceptions faced by evaluation process...
We explore in this article how Evangelical and Pentecostal/Charismatic Churches (EPCCs) view Artificial Intelligence (AI), they use it, either intentionally or indirectly. Considering first the digital habitus which EPCCs are immersed, we have documented analyzed three sample cases showing advanced AI tools to improve sanctification process for believers; Bible can be translated, distributed, its reading fostered around world, using machine intelligence; a spiritual revival among spread...
Accurate and reliable visualization of blood vessels is still a challenging problem, notably in the presence morphologic changes resulting from atherosclerotic diseases. We take advantage partially segmented data with approximately identified vessel centerlines to comprehensively visualize diseased peripheral arterial tree. introduce VesselGlyph as an abstract notation for novel focus & context techniques tubular structures such contrast-medium enhanced arteries CT-angiography (CTA). The...
Abstract Background We sought to evaluate the impact of changes in estimates COVID‐19 vaccine effectiveness on incidence laboratory‐confirmed infection among frontline workers at high risk for SARS‐CoV‐2. Methods analyzed data from a prospective worker cohort estimate by month as well association vaccination, occupation, demographics, physical distancing, and mask use with risk. Participants completed baseline quarterly surveys, each week self‐collected mid‐turbinate nasal swabs reported...
Accurate estimation of vessel parameters is a prerequisite for automated visualization and analysis healthy diseased blood vessels. The objective this research to estimate the dimensions lower extremity arteries, imaged by computed tomography (CT). These are required get good quality as well arteries using technique such curved planar reformation (CPR). modeled an elliptical or cylindrical structure with specific dimensions, orientation mean density. model separates two homogeneous regions:...
This work is a novel contribution for enriching medical images using semantic annotations with strategy unifying different ontologies and instances of DICOM files. We present the L-MOM library (Library Mapping Ontological Metadata) as tool making an automatic mapping between files (e.g., FMA, RadLex, MeSH). The main contributions are: i) domain independent which able to integrate metadata from domains; ii) automatically annotate data universally accepted ontologies, provide values similarity...
The Wavelet Transform allows one to analyze the properties of a variety signals: being able emphasize changes in either time or frequency domain once appropriate scale is chosen. Since signal can be expressed terms coefficients from wavelet functions, behavior this could sparsely represented these expressing possible behind nonstationary signals. Recently, methods based on hierarchical Bayes analysis have been found feasible tool approach physical science and engineering applications. In...
This special issue of the CLEI Electronic Journal consists extended and revised versions a selection best papers presented at XXXIX Latin American Computing Conference (CLEI 2013), which took place in October 2013 Naiguatá, Venezuela. The editors for this were chairs symposia from where these have been selected, plus general chair program committee, participated revision process
Cardiovascular Autonomic Neuropath (CAN) is a poorly understood chronic complication of Diabetes Mellitus (DM). A single instrument to evaluate CAN not available yet, because the complex balance between both sympathetic and parasympathetic drives. Heart Rate Recovery (HRR) promising parameter for clinicians use, which difference maximal heart rate achieved at end exercise phase different stages recovery. The objective this study was characterize parameters obtained from RR trends during...
Recent studies in Bioengineering show a great interest telemedicine projects, it is motivated mainly for the fast communication technologies reached during last decade. Since then many projects different areas have been pursued, among them electrocardiographic monitoring, as well methodological reports evaluation of these projects. In this work methodology to evaluate an telemonitoring system presented. A procedure verify operation Data Acquisition Module (DAM) given, taking reference...
The comparison of several Level Set algorithms is performed with respect to 2D left ventricle segmentation in Multi-Slice CT images. Five are compared by calculating the Dice coefficient between resulting contour and a reference traced cardiologist. also tested on images contaminated Gaussian noise for values PSNR. Additionally an algorithm providing initialization shape proposed. This based combination mathematical morphology tools watershed region growing algorithms. Results set test...
COVID-19 has influenced multiple aspects of kidney transplantation, the preferred treatment for most patients with end-stage disease (ESKD). Patients ESKD and transplant recipients are vulnerable to severe illness given high prevalence comorbidities immunosuppression in these populations.1Ajaimy M. Melamed M.L. disease.Clin J Am Soc Nephrol. 2020; 15: 1087-1089https://doi.org/10.2215/CJN.09730620Crossref PubMed Scopus (29) Google Scholar Vast disruptions operations were reported early...
This paper introduces UniSchedApi, an API-based solution that revolutionizes optimized university resource scheduling. The primary focus of the research is detailed evaluation two automatic allocation methods: Tabu Search (TS) and Genetic Algorithm (GA). thoroughly explores how these methods address challenges associated with in environments, considering critical factors such as teacher availability, student time constraints, classroom features (including computers, projectors, TV's,...