ALBERTO TABOADA CRISPI

ALBERTO TABOADA CRISPI

Miembro de Facultad

Positions

Investigador, Centro de Investigaciones en Informática
Investigador, Universidad Central ¨Marta Abreu¨de Las Villas , MES

research areas

selected publications

artículo académico
- A Review On digital image processing techniques for in-Vivo confocal images of the cornea. Medical Image Analysis. 73:102188. 2021
- Computational Modeling of Aldose Reductase Inhibitory Activity of Flavonoids Derivatives for Diabetic Complications Treatment. Letters in Drug Design & Discovery. 18:1094-1105. 2021
- Segmentation of endothelial cells of the cornea from the distance map of confocal microscope images. Computers in Biology and Medicine. 139:104953. 2021
- Weights Estimation in the Completeness Measurement of Bibliographic Metadata. Computación y Sistemas. 25. 2021
- Adaptive line enhancing plus modified signalaveraging for ventricular late potential detection. Electronics Letters. 35:1293-1295. 1999
capítulo
- Automatic Classification of Diabetic Foot Ulcers Using Computer Vision Techniques. Progress in Artificial Intelligence and Pattern Recognition. 290-299. 2021
- Improving the Robustness of DCT-Based Handwritten Document Image Watermarking Against JPEG-Compression. Progress in Artificial Intelligence and Pattern Recognition. 327-336. 2021
- Computer Vision-Based Estimation of Respiration Signals. IFMBE Proceedings. 252-261. 2020
- Performance of Different Average Methods for the Automatic Detection of Evoked Potentials. Lecture Notes in Computer Science. 629-636. 2019
- Biologically Inspired Anomaly Detection in Pap-Smear Images. Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications. 17-24. 2013
- Solución Viable para Control Automatizado de Enfoque e Iluminación en Microscopio Digital. V Latin American Congress on Biomedical Engineering CLAIB 2011 May 16-21, 2011, Habana, Cuba. 810-813. 2013
- A Hybrid Approach for Pap-Smear Cell Nucleus Extraction. Lecture Notes in Computer Science. 174-183. 2011
- A Quality Analysis on JPEG 2000 Compressed Leukocyte Images by Means of Segmentation Algorithms. Lecture Notes in Computer Science. 161-168. 2010
- Anomaly Detection in Medical Image Analysis. 426-446. 2009
- Training of Multilayer Perceptron Neural Networks by Using Cellular Genetic Algorithms. Lecture Notes in Computer Science. 389-398. 2006
- An Adaptive Enhancer with Modified Signal Averaging Scheme to Detect Ventricular Late Potentials. Lecture Notes in Computer Science. 334-341. 2003
conference paper
- Simulation of Event-Related Potentials in a Wide Sense for Assessment of Detection∕Estimation Algorithms 2008
- A New Measure Based in the Rough Set Theory to Estimate the Training Set Quality 2006
libro
- V Latin American Congress on Biomedical Engineering CLAIB 2011 May 16-21, 2011, Habana, Cuba 2013

investiga en el campo de conocimiento

1.2. Ciencias de la Computación e Información

research overview

Su investigación se sitúa en la intersección entre la inteligencia artificial y la medicina traslacional. Diseñamos y entrenamos modelos de aprendizaje profundo (deep learning) para analizar datos biomédicos multimodales, que incluyen desde imágenes de resonancia magnética y tomografías hasta secuencias genómicas y registros de salud electrónicos. El objetivo fundamental es desarrollar sistemas de apoyo al diagnóstico que identifiquen patrones patológicos con una precisión supra-humana, descubrir biomarcadores digitales para la detección precoz de enfermedades como el cáncer o trastornos neurodegenerativos, y personalizar estrategias terapéuticas mediante la simulación computacional de la respuesta a fármacos. En esencia, convertimos los datos masivos y complejos de la clínica en conocimiento accionable para mejorar los resultados de los pacientes

realiza actividades de

uid

3021

Publications in VIVO

Co-author Network