Francisco Javier Lopez-Tiro

Orcid: 0000-0003-1689-1998

According to our database1, Francisco Javier Lopez-Tiro authored at least 23 papers between 2019 and 2024.

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

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

Online presence:

On csauthors.net:

Bibliography

2024
On the In Vivo Recognition of Kidney Stones Using Machine Learning.
IEEE Access, 2024

2023
Causal Scoring Medical Image Explanations: A Case Study On Ex-vivo Kidney Stone Images.
CoRR, 2023

A metric learning approach for endoscopic kidney stone identification.
CoRR, 2023

SuSana Distancia is all you need: Enforcing class separability in metric learning via two novel distance-based loss functions for few-shot image classification.
CoRR, 2023

Improving automatic endoscopic stone recognition using a multi-view fusion approach enhanced with two-step transfer learning.
CoRR, 2023

Boosting Kidney Stone Identification in Endoscopic Images Using Two-Step Transfer Learning.
Proceedings of the Advances in Soft Computing, 2023

Improved Kidney Stone Recognition Through Attention and Multi-View Feature Fusion Strategies.
Proceedings of the 20th IEEE International Symposium on Biomedical Imaging, 2023

Improving Automatic Endoscopic Stone Recognition Using a Multi-view Fusion Approach Enhanced with Two-Step Transfer Learning.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Deep Prototypical-Parts Ease Morphological Kidney Stone Identification and are Competitively Robust to Photometric Perturbations.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022
Improved Kidney Stone Recognition Through Attention and Multi-View Feature Fusion Strategies.
CoRR, 2022

Boosting Kidney Stone Identification in Endoscopic Images Using Two-Step Transfer Learning.
CoRR, 2022

Evaluating object detector ensembles for improving the robustness of artifact detection in endoscopic video streams.
CoRR, 2022

Interpretable Deep Learning Classifier by Detection of Prototypical Parts on Kidney Stones Images.
CoRR, 2022

Comparing feature fusion strategies for Deep Learning-based kidney stone identification.
CoRR, 2022

On the generalization capabilities of FSL methods through domain adaptation: a case study in endoscopic kidney stone image classification.
CoRR, 2022

On the in vivo recognition of kidney stones using machine learning.
CoRR, 2022

On the Generalization Capabilities of FSL Methods Through Domain Adaptation: A Case Study in Endoscopic Kidney Stone Image Classification.
Proceedings of the Advances in Computational Intelligence, 2022

2021
Assessing deep learning methods for the identification of kidney stones in endoscopic images.
CoRR, 2021

Visualization of blood vessels in <i>in vitro</i> raw speckle images using an energy-based on DWT coefficients.
Biomed. Signal Process. Control., 2021

Localization of blood vessels in in-vitro LSCI images with K-means.
Proceedings of the IEEE International Instrumentation and Measurement Technology Conference, 2021

Assessing deep learning methods for the identification of kidney stones in endoscopic images.
Proceedings of the 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2021

2020
Effect of the Exposure Time in Laser Speckle Imaging for Improving Blood Vessels Localization: a Wavelet Approach.
Proceedings of the 2020 IEEE International Instrumentation and Measurement Technology Conference, 2020

2019
Visualization of in-vitro Blood Vessels in Contrast Images Based on Discrete Wavelet Transform Decomposition.
Proceedings of the IEEE International Instrumentation and Measurement Technology Conference, 2019


  Loading...