Miguel Luna

Orcid: 0000-0001-6255-8366

According to our database1, Miguel Luna authored at least 15 papers between 2018 and 2024.

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

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
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Links

On csauthors.net:

Bibliography

2024
Attention guided multi-scale cluster refinement with extended field of view for amodal nuclei segmentation.
Comput. Biol. Medicine, March, 2024

2023
Structure-preserving image translation for multi-source medical image domain adaptation.
Pattern Recognit., December, 2023

Content preserving image translation with texture co-occurrence and spatial self-similarity for texture debiasing and domain adaptation.
Neural Networks, September, 2023

Conditional GAN with 3D discriminator for MRI generation of Alzheimer's disease progression.
Pattern Recognit., 2023

PROnet: Point Refinement Using Shape-Guided Offset Map for Nuclei Instance Segmentation.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023

2022
A Deep Learning Technique as a Sensor Fusion for Enhancing the Position in a Virtual Reality Micro-Environment.
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2022

2021
Dual attention multiple instance learning with unsupervised complementary loss for COVID-19 screening.
Medical Image Anal., 2021

Data Generation using Texture Co-occurrence and Spatial Self-Similarity for Debiasing.
CoRR, 2021

Mixing-AdaSIN: Constructing a De-biased Dataset Using Adaptive Structural Instance Normalization and Texture Mixing.
Proceedings of the Predictive Intelligence in Medicine - 4th International Workshop, 2021

Conditional GAN with an Attention-Based Generator and a 3D Discriminator for 3D Medical Image Generation.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021

2020
Conditional Generative Adversarial Network for Predicting 3D Medical Images Affected by Alzheimer's Diseases.
Proceedings of the Predictive Intelligence in Medicine - Third International Workshop, 2020

2019
Standardized Assessment of Automatic Segmentation of White Matter Hyperintensities and Results of the WMH Segmentation Challenge.
IEEE Trans. Medical Imaging, 2019

Precise Separation of Adjacent Nuclei Using a Siamese Neural Network.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019

Two-Step U-Nets for Brain Tumor Segmentation and Random Forest with Radiomics for Survival Time Prediction.
Proceedings of the Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries, 2019

2018
3D Patchwise U-Net with Transition Layers for MR Brain Segmentation.
Proceedings of the Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries, 2018


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