Lourdes Duran-Lopez

Orcid: 0000-0002-5849-8003

According to our database1, Lourdes Duran-Lopez authored at least 16 papers between 2019 and 2023.

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

Timeline

Legend:

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PhD thesis 
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Links

On csauthors.net:

Bibliography

2023
A systematic comparison of different machine learning models for the spatial estimation of air pollution.
Appl. Intell., December, 2023

A comparative study of the inter-observer variability on Gleason grading against Deep Learning-based approaches for prostate cancer.
Comput. Biol. Medicine, June, 2023

Interfacing PDM MEMS Microphones with PFM Spiking Systems: Application for Neuromorphic Auditory Sensors.
Neural Process. Lett., April, 2023

2021
Performance Evaluation of Deep Learning-Based Prostate Cancer Screening Methods in Histopathological Images: Measuring the Impact of the Model's Complexity on Its Processing Speed.
Sensors, 2021

Wildlife Monitoring on the Edge: A Performance Evaluation of Embedded Neural Networks on Microcontrollers for Animal Behavior Classification.
Sensors, 2021

pyNAVIS: An open-source cross-platform software for spike-based neuromorphic audio information processing.
Neurocomputing, 2021

Wide & Deep neural network model for patch aggregation in CNN-based prostate cancer detection systems.
Comput. Biol. Medicine, 2021


2020
PROMETEO: A CNN-Based Computer-Aided Diagnosis System for WSI Prostate Cancer Detection.
IEEE Access, 2020

2019
Polyp Detection in Gastrointestinal Images using Faster Regional Convolutional Neural Network.
Proceedings of the 14th International Joint Conference on Computer Vision, 2019

Sampling Frequency Evaluation on Recurrent Neural Networks Architectures for IoT Real-time Fall Detection Devices.
Proceedings of the 11th International Joint Conference on Computational Intelligence, 2019

A Low-power, Reachable, Wearable and Intelligent IoT Device for Animal Activity Monitoring.
Proceedings of the 11th International Joint Conference on Computational Intelligence, 2019

Breast Cancer Automatic Diagnosis System using Faster Regional Convolutional Neural Networks.
Proceedings of the 11th International Joint Conference on Computational Intelligence, 2019

Multi-dataset Training for Medical Image Segmentation as a Service.
Proceedings of the 11th International Joint Conference on Computational Intelligence, 2019

Glioma Diagnosis Aid through CNNs and Fuzzy-C Means for MRI.
Proceedings of the 11th International Joint Conference on Computational Intelligence, 2019

An Automated Fall Detection System Using Recurrent Neural Networks.
Proceedings of the Artificial Intelligence in Medicine, 2019


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