Alejandro Mora-Rubio

Orcid: 0000-0001-6012-8645

According to our database1, Alejandro Mora-Rubio authored at least 15 papers between 2021 and 2026.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

Online presence:

On csauthors.net:

Bibliography

2026
From diverse CT scans to generalization: towards robust abdominal organ segmentation.
BMC Medical Imaging, December, 2026

Extreme cardiac MRI analysis under respiratory motion: Results of the CMRxMotion challenge.
Medical Image Anal., 2026

2025
Extreme Cardiac MRI Analysis under Respiratory Motion: Results of the CMRxMotion Challenge.
CoRR, July, 2025

Transformers and capsule networks <i>vs</i> classical ML on clinical data for alzheimer classification.
PeerJ Comput. Sci., 2025

2024
A systematic review of vision transformers and convolutional neural networks for Alzheimer's disease classification using 3D MRI images.
Neural Comput. Appl., December, 2024

2023
Classification of Alzheimer's disease stages from magnetic resonance images using deep learning.
PeerJ Comput. Sci., 2023

SAM-UNETR: Clinically Significant Prostate Cancer Segmentation Using Transfer Learning From Large Model.
IEEE Access, 2023

2022
Machine learning approaches for COVID-19 detection from chest X-ray imaging: A Systematic Review.
CoRR, 2022

Coffee Maturity Classification Using Convolutional Neural Networks and Transfer Learning.
IEEE Access, 2022

Deep Learning Based Classification and Segmentation for Cardiac Magnetic Resonance Imaging with Respiratory Motion Artifacts.
Proceedings of the Statistical Atlases and Computational Models of the Heart. Regular and CMRxMotion Challenge Papers, 2022

2021
Sensitivity of deep learning applied to spatial image steganalysis.
PeerJ Comput. Sci., 2021

Strategy to improve the accuracy of convolutional neural network architectures applied to digital image steganalysis in the spatial domain.
PeerJ Comput. Sci., 2021

Machine learning applications to predict two-phase flow patterns.
PeerJ Comput. Sci., 2021

GBRAS-Net: A Convolutional Neural Network Architecture for Spatial Image Steganalysis.
IEEE Access, 2021



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