Grupo de Investigación ITI

Fernando Yepes-Calderon

fernandoyepesc@gmail.com
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Gerente en Science Based Platforms, Los Angeles, United States

Publicaciones
  • Artículos en Revista
    1. Hector Florez, Ixent Galpin, Fernando Yespes-Calderon. Editorial: Advances in software for data analysis. Frontiers in Computer Science. ISSN:2624-9898. vol:6. p:1-2. (2024).
    2. Fernando Yepes-Calderon, J. Gordon McComb. Eliminating the need for manual segmentation to determine size and volume from MRI. A proof of concept on segmenting the lateral ventricles. PLoS ONE. ISSN:1932-6203. vol:18 (5). p:1-13. (2023).
    3. Fernando Yepes-Calderon, J. Gordon McComb . Accurate image-based CSF volume calculation of the lateral ventricles. Scientific Reports. ISSN:2045-2322. vol:12 (1). p:1-8. (2022).
    4. Leidy Lorena Pulido Morales, Juan Sebastian Buitrago Romero, Ismael A. Ardila Sanchez, Fernando Yepes-Calderon. Turning any bed into an intensive care unit with the Internet of things and artificial intelligence technology. Presenting the enhanced mechanical ventilator. F1000 Research. ISSN:2046-1402. vol:11 (1570). p:1-18. (2022).
    5. Fernando Yepes-Calderon, Frisca Wihardja, Andrea Sloan, Janet Kim, Marvin D. Nelson, J. Gordon McComb. Measuring Maximum Head Circumference Within the Picture Archiving and Communication System: A Fully Automatic Approach. Frontiers in Pediatrics. ISSN:2296-2360. vol:9. p:671. (2021).
  • Conferencias Académicas
    1. Daniel A. Choco Carabali, Juan S. Serrano Fontecha, Daniel S. Forero Arévalo, Asfur Barandica Lopez, Fernando Yepes-Calderon. Introducing an IoT-Based Strategy to Measure Athletes in Field Testing Automatically. p:131 - 143. Ben Guerir, Marruecos. (2025).
    2. Fernando Yepes-Calderon, J. Gordon McComb. AI in Clinical Research: Menacing Disruption or Catalyst for Cognitive Breakthroughs?. p:252 - 263. Ben Guerir, Marruecos. (2025).
    3. Juan Sebastian Serrano, Fernando Yepes-Calderon. Improvement of Acute and Chronic Nutritional Status by Supplying a Metabolic Biostimulator to Children in High Risk of Malnutrition. Introducing a Technological Platform to Enable Automatic Analyses a. p:185 - 195. Viña del Mar, Chile. (2024).
    4. Salvador Soto, María F. Pollo-Cattaneo, Fernando Yepes-Calderon. Automated Diagnosis of Prostate Cancer Using Artificial Intelligence. A Systematic Literature Review. p:77 - 92. Guayaquil, Ecuador. (2023).
    5. Fernando Yepes-Calderon, Paulo Andrés Vélez Ángel. Work-Life Interference on Employee Well-Being and Productivity. A Proof-of-Concept for Rapid and Continuous Population Analysis Using Evalu@. p:277 - 290. Guayaquil, Ecuador. (2023).
    6. Fernando Yepes-Calderon, J. Gordon McComb. Development of a HIPAA-compliant synchronizer to Enable Automatic Reporting and Inter-institutional Collaboration in Healthcare Systems Worldwide. p:25 - 36. Guayaquil, Ecuador. (2023).
    7. Fernando Yepes-Calderon. Statistical Characterization of Image Intensities in Regions Inside Arteries to Facilitate the Extraction of Center Lines in Atherosclerosis Frameworks. p:137 - 149. Arequipa, Peru. (2022).
    8. Fernando Yepes-Calderon, Adriana Velasquez, Natasha Lepore, Olivier Beuf. Magnetic resonance image enhancement by reducing receptors effective size and enabling multiple channel acquisition. p:2420 - 2423. Chicago, Illinois, EE. UU.. (2014).
    9. Yepes-Calderon, Fernando; Pedregosa, Fabian; Thirion, Bertrand; Wang, Yalin; Lepore, Natasha. Automatic pathology classification using a single feature machine learning support - Vector machines. San Diego, California, Estados Unidos. (2014).
    10. Joseph Bamidele Awotunde, Sunday Adeola Ajagbe, Hector Florez . A Bio-Inspired-Based Salp Swarm Algorithm Enabled with Deep Learning for Alzheimer’s Classification. p:157-170. Guayaquil, Ecuador. (2023).
    11. Ronald S. Marin Cifuentes, Adriana M. Florez Laiseca, Fernando Yepes-Calderon . Introducing Planet-Saving Strategies to Measure, Control, and Mitigate Greenhouse Gas Emissions and Water Misuse in Household Residences. p:440-454. Arequipa, Peru. (2022).
    12. Fernando Yepes-Calderon . Automatic Location and Suppression of Calcification and Atheromas by Gradient Change in the Pattern of Intensities Inside the Carotid Artery. p:427-439. Arequipa, Peru. (2022).
    13. Yésica Rodríguez, Alejandra Huérfano, Fernando Yepes-Calderon, J. Gordon McComb, Hector Florez. Cerebrospinal Fluid Containers Navigator. A Systematic Literature Review. p:340-351. Malaga, España. (2022).
    14. Gonzalo Yepes Calderon, Julio Perea Sandoval, Julietha Oviedo-Correa, Fredy Linero-Moreno, Fernando Yepes-Calderon . Characterizing Musculoskeletal Disorders. A Case Study Involving Kindergarten Employees. p:266-277. Buenos Aires, Argentina. (2021).
    15. Juan Fernando Yepes Zuluaga, Alvin David Gregory Tatis, Daniel Santiago Forero Arévalo, Fernando Yepes-Calderon . Evalu@ + Sports. Creatine Phosphokinase and Urea in High-Performance Athletes During Competition. a Framework for Predicting Injuries Caused by Fatigue. p:290-302. Buenos Aires, Argentina. (2021).
    16. Alvin Gregory, Eduardo Yepes Calderon, Fernando Jimenez, J. Gordon McComb, Fernando Yepes-Calderon . Fairly Ranking the Neediest in Worldwide Social Systems. An Artificial Intelligence Approach Born in Cov2 Pandemic Outbreak. p:43-55. Ota, Nigeria. (2020).
    17. Fernando Yepes-Calderon, Andres Felipe Giraldo Quiceno, Jose Fabian Carmona Orozco, J. Gordon McComb . The Bio-I Capsule. Preventing Contagion of Aerial Pathogens with Real-Time Reporting in Evalu@. p:116-128. Ota, Nigeria. (2020).
    18. Camilo Espinosa, Manuel Garcia, Fernando Yepes-Calderon, J. Gordon McComb, Hector Florez. Prostate Cancer Diagnosis Automation Using Supervised Artificial Intelligence. A Systematic Literature Review. p:104-115. Ota, Nigeria. (2020).
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