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Daniel I Morís

Showing results (1-10 of 5) with videos related to

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Medical & Biological Engineering & Computing|March 19, 2024
Adapted generative latent diffusion models for accurate pathological analysis in chest X-ray imagesDaniel I Morís, Joaquim de Moura, Jorge Novo, et al.
Computers in Biology and Medicine|December 26, 2022
Context encoder transfer learning approaches for retinal image analysisDaniel I Morís, Álvaro S Hervella, José Rouco, et al.
Digital Health|February 5, 2024
Multi-task localization of the hemidiaphragms and lung segmentation in portable chest X-ray images of COVID-19 patientsDaniel I Morís, Joaquim de Moura, Shahab Aslani, et al.
Biomedical Signal Processing and Control|March 14, 2023
Comprehensive analysis of clinical data for COVID-19 outcome estimation with machine learning modelsDaniel I Morís, Joaquim de Moura, Pedro J Marcos, et al.
Heliyon|December 6, 2024
Efficient clinical decision-making process via AI-based multimodal data fusion: A COVID-19 case studyDaniel I Morís, Joaquim de Moura, Pedro J Marcos, et al.
Pageof 1

Showing results (1-10 of 5) with videos related to

Sort By:
Pageof 1
Medical & Biological Engineering & Computing|March 19, 2024
Adapted generative latent diffusion models for accurate pathological analysis in chest X-ray imagesDaniel I Morís, Joaquim de Moura, Jorge Novo, et al.
Computers in Biology and Medicine|December 26, 2022
Context encoder transfer learning approaches for retinal image analysisDaniel I Morís, Álvaro S Hervella, José Rouco, et al.
Digital Health|February 5, 2024
Multi-task localization of the hemidiaphragms and lung segmentation in portable chest X-ray images of COVID-19 patientsDaniel I Morís, Joaquim de Moura, Shahab Aslani, et al.
Biomedical Signal Processing and Control|March 14, 2023
Comprehensive analysis of clinical data for COVID-19 outcome estimation with machine learning modelsDaniel I Morís, Joaquim de Moura, Pedro J Marcos, et al.
Heliyon|December 6, 2024
Efficient clinical decision-making process via AI-based multimodal data fusion: A COVID-19 case studyDaniel I Morís, Joaquim de Moura, Pedro J Marcos, et al.
Pageof 1