ORCID

Información ORCID de SANCHEZ MORILLO, DANIEL

Biografía

Daniel Sánchez Morillo received his M. Eng. degree in Telecommunications from the University of Sevilla, Spain, in 2000 and his Ph.D. degree in Engineering from the University of Cádiz, Spain, in 2008. He is Professor with the Automatic Engineering Department at the Faculty of Engineering of Cádiz. Dr. Morillo is member of the Biomedical Engineering Spanish Society and is currently with the Biomedical Engineering and Telemedicine Laboratory (I.B.T.) of the University of Cádiz. His scientific interest is focused to the areas related to biomedical signal processing and telemedical environments.

Educación

Ph.D.

Universidad de Cádiz: Cádiz, Andalucía, España

2008

Telecommunication Engineer

Universidad de Sevilla: Seville, Andalucía, España

01/2000

Empleo

Universidad de Cádiz: Cádiz, Andalucía, España

2006

Obras

Automated engineered-stone silicosis screening and staging using Deep Learning with X-rays

2025 | JOURNAL_ARTICLE

Política de Cookies

Personalización de Cookies

Información ORCID de SANCHEZ MORILLO, DANIEL

Biografía

Educación

Ph.D.

Telecommunication Engineer

Empleo

Obras

Automated engineered-stone silicosis screening and staging using Deep Learning with X-rays

Improving Social Acceptance of Orthopedic Foot Orthoses Through Image-Generative AI in Product Design

Localization and Classification of Abnormalities on Chest X-ray Images Using a Mamba-YOLOvX Model

Indoor Environmental Monitoring and Chronic Respiratory Diseases: A Systematic Review

Integrating routine blood biomarkers and artificial intelligence for supporting diagnosis of silicosis in engineered stone workers

Usability Evaluation of a Mobile Application for Foot Health Monitoring of Smart Insoles: A Mixed Methods Study

The Impact of Visual Feedback and Avatar Presence on Balance in Virtual Reality

Walking aid with haptic feedback for combined use with a smart foot orthosis

Cough Detection Using Acceleration Signals and Deep Learning Techniques

Automatic Lung Segmentation in Chest X-Ray Images Using SAM With Prompts From YOLO

EVALUATION OF THE PUPIL RESPONSE AS A PREDICTIVE TOOL OF THE FUNCTIONAL ALTERATION OF THE LOCUS COERULEUS IN PAIN. COMPARISON BETWEEN ACUTE AND CHRONIC PAIN.

Cardiovascular-related proteomic changes in ECFCs exposed to the serum of COVID-19 patients

The serum of COVID-19 asymptomatic patients up-regulates proteins related to endothelial dysfunction and viral response in circulating angiogenic cells ex-vivo

Combining Molecular, Imaging, and Clinical Data Analysis for Predicting Cancer Prognosis

Deep learning-based instance segmentation for the precise automated quantification of digital breast cancer immunohistochemistry images

Serum microRNAs targeting ACE2 and RAB14 genes distinguish asymptomatic from critical COVID-19 patients

Automated Mouse Pupil Size Measurement System to Assess Locus Coeruleus Activity with a Deep Learning-Based Approach

Portable Oxygen Therapy: Is the 6-Minute Walking Test Overestimating the Actual Oxygen Needs?

Automatic segmentation of whole-slide H&E stained breast histopathology images using a deep convolutional neural network architecture

Automated Home Oxygen Delivery for Patients with COPD and Respiratory Failure: A New Approach

A Prototype of Intelligent Portable Oxygen Concentrator for Patients with COPD Under Oxygen Therapy

An artificial intelligence approach to early predict symptom-based exacerbations of COPD

Classification of Breast Cancer Histopathological Images Using KAZE Features

Automatic CDR Estimation for Early Glaucoma Diagnosis

Automatic recognition of daily physical activities for an intelligent-portable oxygen concentrator (iPOC)

Automatic tool for optic disc and cup detection on retinal fundus images

CDIO as the definitive tool for engineering curriculum development

Physiological closed-loop control in intelligent oxygen therapy: A review

Use of predictive algorithms in-home monitoring of chronic obstructive pulmonary disease and asthma: A systematic review

Spreading Codes Enables the Blind Estimation of the Hemodynamic Response with Short-Events Sequences

A machine learning approach to prediction of exacerbations of chronic obstructive pulmonary disease

A novel multimodal tool for telemonitoring patients with COPD

Computerised analysis of telemonitored respiratory sounds for predicting acute exacerbations of COPD

Detecting COPD exacerbations early using daily telemonitoring of symptoms and k-means clustering: a pilot study

Development and Evaluation of an Automated, Home-Based, Electronic Questionnaire for Detecting COPD Exacerbations

Healthcare Engineering Defined: A White Paper

Spreading codes enables the blind estimation of the hemodynamic response with short-events sequences

Automatic classification of respiratory sounds phenotypes in COPD exacerbations

Automatic prediction of chronic obstructive pulmonary disease exacerbations through home telemonitoring of symptoms

Dry EEG electrodes

Novel multiclass classification for home-based diagnosis of sleep apnea hypopnea syndrome

Computer-aided diagnosis of pneumonia in patients with chronic obstructive pulmonary disease

Computerized analysis of respiratory sounds during COPD exacerbations

Probabilistic neural network approach for the detection of SAHS from overnight pulse oximetry

Automated frequency domain analysis of oxygen saturation as a screening tool for SAHS.

Increasing reliability and information content of pulse oximetric SAHS screening algorithms

An accelerometer-based device for sleep apnea screening.

Collaborative Dialogue Agent for COPD Self-management in AMICA: A First Insight

Telemonitoring in AMICA: A design based on and for COPD

AMICA - Optimization of the care and treatment management of COPD patients,AMICA-Optimierung des Versorgungs-und Behandlungsmanagements von COPD-Patienten

AMICA telemedicine platform: A design for management of elderly people with COPD

AMICA-Optimierung des Versorgungs-und Behandlungsmanagements von COPD-Patienten

Poincaré analysis of an overnight arterial oxygen saturation signal applied to the diagnosis of sleep apnea hypopnea syndrome

Mapping the human body for vibrations using an accelerometer.

Monitoring and analysis of cardio respiratory and snoring signals by using an accelerometer.