Browsing by Author "Iglesias Morís, Daniel"
Now showing items 1-20 of 20
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Adapted generative latent diffusion models for accurate pathological analysis in chest X-ray images
Iglesias Morís, Daniel; Moura, Joaquim de; Novo Buján, Jorge; Ortega Hortas, Marcos (Springer Nature, 2024-03-19)[Absctract]: Respiratory diseases have a significant global impact, and assessing these conditions is crucial for improving patient outcomes. Chest X-ray is widely used for diagnosis, but expert evaluation can be challenging. ... -
Análisis de datos multimodales para la toma de decisiones clínicas utilizando Inteligencia Artificial en el contexto de la COVID-19
Iglesias Morís, Daniel; Moura, Joaquim de; Marcos, Pedro J.; Míguez-Rey, Enrique; Novo Buján, Jorge; Ortega Hortas, Marcos (2023-12-14)[Abstract]: La COVID-19 es una enfermedad pulmonar infecciosa causante de la pandemia mundial del año 2020. En los momentos críticos de las emergencias sanitarias, el equipo médico debe tomar decisiones importantes en un ... -
Comprehensive analysis of clinical data for COVID-19 outcome estimation with machine learning models
Iglesias Morís, Daniel; Moura, Joaquim de; Marcos, Pedro J.; Rey, Enrique; Novo Buján, Jorge; Ortega Hortas, Marcos (Elsevier, 2023-07)[Abstract]: COVID-19 is a global threat for the healthcare systems due to the rapid spread of the pathogen that causes it. In such situation, the clinicians must take important decisions, in an environment where medical ... -
Comprehensive Analysis of the Screening of COVID-19 Approaches in Chest X-ray Images from Portable Devices
Iglesias Morís, Daniel; Moura, Joaquim de; Novo Buján, Jorge; Ortega Hortas, Marcos (i6doc.com publication, 2021)[Abstract]: Computer-aided diagnosis plays an important role in the COVID-19 pandemic. Currently, it is recommended to use X-ray imaging to diagnose and assess the evolution in patients. Particularly, radiologists are asked ... -
Context encoder self-supervised approaches for eye fundus analysis
Iglesias Morís, Daniel; Hervella, Álvaro S.; Rouco, J.; Novo Buján, Jorge; Ortega Hortas, Marcos (Institute of Electrical and Electronics Engineers Inc., 2021)[Abstract]: The broad availability of medical images in current clinical practice provides a source of large image datasets. In order to use these datasets for training deep neural networks in detection and segmentation ... -
Context encoder transfer learning approaches for retinal image analysis
Iglesias Morís, Daniel; Hervella, Álvaro S.; Rouco, J.; Novo Buján, Jorge; Ortega Hortas, Marcos (Elsevier Ltd, 2023-01)[Abstract]: During the last years, deep learning techniques have emerged as powerful alternatives to solve biomedical image analysis problems. However, the training of deep neural networks usually needs great amounts of ... -
Cycle generative adversarial network approaches to produce novel portable chest X-rays images for covid-19 diagnosis
Iglesias Morís, Daniel; Moura, Joaquim de; Novo Buján, Jorge; Ortega Hortas, Marcos (Institute of Electrical and Electronics Engineers Inc., 2021)[Abstract]: Coronavirus Disease 2019 (COVID-19), declared a global pandemic by the World Health Organization, mainly affects the pulmonary tissues, playing chest X-ray images an important role for its screening and early ... -
Data Augmentation Approaches Using Cycle-Consistent Adversarial Networks for Improving COVID-19 Screening in Portable Chest X-Ray Images
Iglesias Morís, Daniel; Moura, Joaquim de; Novo Buján, Jorge; Ortega Hortas, Marcos (Elsevier, 2021)[Abstract] The current COVID-19 pandemic, that has caused more than 100 million cases as well as more than two million deaths worldwide, demands the development of fast and accurate diagnostic methods despite the lack of ... -
Deep feature analysis in a transfer learning approach for the automatic COVID-19 screening using chest X-ray images
Iglesias Morís, Daniel; Moura, Joaquim de; Novo Buján, Jorge; Ortega Hortas, Marcos (Elsevier B.V., 2023)[Abstract]: COVID-19 is a challenging disease that was declared as global pandemic in March 2020. As the main impact of this disease is located in the pulmonary regions, chest X-ray devices are very useful to understand ... -
Efficient clinical decision-making process via AI-based multimodal data fusion: A COVID-19 case study
Iglesias Morís, Daniel; Moura, Joaquim de; Marcos, Pedro J.; Míguez-Rey, Enrique; Novo Buján, Jorge; Ortega Hortas, Marcos (Elsevier, 2024-10)[Abstract]: COVID-19 is an infectious disease that caused a global pandemic in 2020. In the critical moments of this healthcare emergencies, the medical staff needs to take important decisions in a context of limited ... -
Explainable learning to analyze the outcome of COVID-19 patients using clinical data
Olañeta Fariña, Daniel; Iglesias Morís, Daniel; Moura, Joaquim de; Marcos, Pedro J.; Míguez-Rey, Enrique; Novo Buján, Jorge; Ortega Hortas, Marcos (Elsevier B.V., 2023)[Abstract]: Patients at high risk of contracting COVID-19 require specialized monitoring throughout their illness to ensure optimal treatment at each stage. To support this monitoring, Computer-Aided Diagnosis (CAD) methods ... -
Generation of Novel Synthetic Portable Chest X-Ray Images for Automatic COVID-19 Screening
Iglesias Morís, Daniel; Moura, Joaquim de; Novo Buján, Jorge; Ortega Hortas, Marcos (IGI Global, 2022)[Abstract]: The diagnosis and the study of the evolution of COVID-19 is crucial to tackle the challenge that this disease represents for healthcare services. Chest x-ray imaging allows us to visualize the pulmonary regions, ... -
Impact of the Region of Analysis on the Performance of the Automatic Epiretinal Membrane Segmentation in OCT Images
Gende, M.; Iglesias Morís, Daniel; Moura, Joaquim de; Novo Buján, Jorge; Ortega Hortas, Marcos (Springer, 2023-02-10)[Absctract]: The Epiretinal Membrane (ERM) is an ocular pathology that can cause permanent visual loss if left untreated for long. Despite its transparency, it is possible to visualise the ERM in Optical Coherence Tomography ... -
Multi-task localization of the hemidiaphragms and lung segmentation in portable chest X-ray images of COVID-19 patients
Iglesias Morís, Daniel; Moura, Joaquim de; Aslani, Shahab; Jacob, Joseph; Novo Buján, Jorge; Ortega Hortas, Marcos (Sage, 2024-02-01)[Absctract]: Background: The COVID-19 can cause long-term symptoms in the patients after they overcome the disease. Given that this disease mainly damages the respiratory system, these symptoms are often related with ... -
Performance analysis of GAN approaches in the portable chest X-ray synthetic image generation for COVID-19 screening
Iglesias Morís, Daniel; Gende Lozano, Mateo; Moura, Joaquim de; Novo Buján, Jorge; Ortega Hortas, Marcos (2022)[Abstract]: This manuscript presents a performance analysis of chest Xray synthetic image generation for COVID-19 screening. The proposed system translates chest X-ray images from Normal to COVID-19 and vice versa, without ... -
Performance analysis of GAN approaches in the portable chest X-ray synthetic image generation for COVID-19 screening
Iglesias Morís, Daniel; Gende Lozano, Mateo; Moura, Joaquim de; Novo Buján, Jorge; Ortega Hortas, Marcos (Springer, 2022)[Abstract]: COVID-19 mainly affects lung tissues, aspect that makes chest X-ray imaging useful to visualize this damage. In the context of the global pandemic, portable devices are advantageous for the daily practice. F ... -
Portable chest X-ray image generation for the improvement of the automatic COVID-19 screening
Iglesias Morís, Daniel; Moura, Joaquim de; Novo Buján, Jorge; Ortega Hortas, Marcos (EasyChair, 2023)[Abstract]: COVID-19 is a disease whose gold standard diagnosis tool, RT-PCR, is unable to provide accurate quantification of its severity in a given patient. Currently, this assessment can be performed with the help of ... -
Portable Chest X-ray Synthetic Image Generation for the COVID-19 Screening
Iglesias Morís, Daniel; Moura, Joaquim de; Novo Buján, Jorge; Ortega Hortas, Marcos (MDPI, 2021)[Abstract] The global pandemic of COVID-19 raises the importance of having fast and reliable methods to perform an early detection and to visualize the evolution of the disease in every patient, which can be assessed with ... -
Semantic-guided generative latent diffusion augmentation approaches for improving the neovascularization diagnosis in OCT-A imaging
Iglesias Morís, Daniel; Moura, Joaquim de; Carmona, Enrique J.; Novo Buján, Jorge; Ortega Hortas, Marcos (Elsevier, 2025-03)[Abstract]: Age-related Macular Degeneration (AMD) presents an enormous challenge in Western Societies due to the increase in life expectancy. AMD is characterized for causing Macular Neovascularization. Optical Coherence ... -
Unsupervised contrastive unpaired image generation approach for improving tuberculosis screening using chest X-ray images
Iglesias Morís, Daniel; Moura, Joaquim de; Novo Buján, Jorge; Ortega Hortas, Marcos (Elsevier, 2022-12)[Abstract]: Tuberculosis is an infectious disease that mainly affects the lung tissues. Therefore, chest X-ray imaging can be very useful to diagnose and to understand the evolution of the pathology. This image modality ...
