Saúl Calderón Ramírez
Orcid: 0000-0001-9993-4388
According to our database1,
Saúl Calderón Ramírez
authored at least 34 papers
between 2017 and 2023.
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Bibliography
2023
An uncertainty estimator method based on the application of feature density to classify mammograms for breast cancer detection.
Neural Comput. Appl., October, 2023
Dataset Similarity to Assess Semisupervised Learning Under Distribution Mismatch Between the Labeled and Unlabeled Datasets.
IEEE Trans. Artif. Intell., April, 2023
Object Detection in Pineapple Fields Drone Imagery Using Few Shot Learning and the Segment Anything Model.
Proceedings of the International Conference on Machine Learning and Applications, 2023
2022
Semisupervised Deep Learning for Image Classification With Distribution Mismatch: A Survey.
IEEE Trans. Artif. Intell., 2022
A real use case of semi-supervised learning for mammogram classification in a local clinic of Costa Rica.
Medical Biol. Eng. Comput., 2022
Improving Semi-supervised Deep Learning by using Automatic Thresholding to Deal with Out of Distribution Data for COVID-19 Detection using Chest X-ray Images.
CoRR, 2022
Semi-supervised Deep Learning for Image Classification with Distribution Mismatch: A Survey.
CoRR, 2022
Dealing with distribution mismatch in semi-supervised deep learning for COVID-19 detection using chest X-ray images: A novel approach using feature densities.
Appl. Soft Comput., 2022
Feature Density as an Uncertainty Estimator Method in the Binary Classification Mammography Images Task for a Supervised Deep Learning Model.
Proceedings of the Bioinformatics and Biomedical Engineering, 2022
2021
J. Medical Syst., 2021
A Real Use Case of Semi-Supervised Learning for Mammogram Classification in a Local Clinic of Costa Rica.
CoRR, 2021
Enforcing Morphological Information in Fully Convolutional Networks to Improve Cell Instance Segmentation in Fluorescence Microscopy Images.
CoRR, 2021
Correcting data imbalance for semi-supervised COVID-19 detection using X-ray chest images.
Appl. Soft Comput., 2021
Improving Uncertainty Estimation With Semi-Supervised Deep Learning for COVID-19 Detection Using Chest X-Ray Images.
IEEE Access, 2021
Enforcing Morphological Information in Fully Convolutional Networks to Improve Cell Instance Segmentation in Fluorescence Microscopy Images.
Proceedings of the Advances in Computational Intelligence, 2021
Improving Uncertainty Estimations for Mammogram Classification using Semi-Supervised Learning.
Proceedings of the International Joint Conference on Neural Networks, 2021
2020
Convolutional neural networks for segmenting xylem vessels in stained cross-sectional images.
Neural Comput. Appl., 2020
MixMOOD: A systematic approach to class distribution mismatch in semi-supervised learning using deep dataset dissimilarity measures.
CoRR, 2020
Proceedings of the Machine Learning for Health Workshop, 2020
A First Glance to the Quality Assessment of Dental Photostimulable Phosphor Plates with Deep Learning.
Proceedings of the 2020 International Joint Conference on Neural Networks, 2020
Dealing with Scarce Labelled Data: Semi-supervised Deep Learning with Mix Match for Covid-19 Detection Using Chest X-ray Images.
Proceedings of the 25th International Conference on Pattern Recognition, 2020
2019
Proceedings of the IEEE International Work Conference on Bioinspired Intelligence, 2019
Unsharp Masking Layer: Injecting Prior Knowledge in Convolutional Networks for Image Classification.
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2019: Image Processing, 2019
A First Glance into Reversing Senescence on Herbarium Sample Images Through Conditional Generative Adversarial Networks.
Proceedings of the High Performance Computing - 6th Latin American Conference, 2019
Using Cluster Analysis to Assess the Impact of Dataset Heterogeneity on Deep Convolutional Network Accuracy: A First Glance.
Proceedings of the High Performance Computing - 6th Latin American Conference, 2019
Proceedings of the High Performance Computing - 6th Latin American Conference, 2019
Assessing the Impact of a Preprocessing Stage on Deep Learning Architectures for Breast Tumor Multi-class Classification with Histopathological Images.
Proceedings of the High Performance Computing - 6th Latin American Conference, 2019
2018
Proceedings of the IEEE International Work Conference on Bioinspired Intelligence, 2018
DNLM-MA-P: A Parallelization of the Deceived Non Local Means Filter with Moving Average and Symmetric Weighting.
Proceedings of the IEEE International Work Conference on Bioinspired Intelligence, 2018
Assessing the Impact of the Deceived Non Local Means Filter as a Preprocessing Stage in a Convolutional Neural Network Based Approach for Age Estimation Using Digital Hand X-Ray Images.
Proceedings of the 2018 IEEE International Conference on Image Processing, 2018
Automatic Calibration of the Deceived Non Local Means Filter for Improving the Segmentation of Cells in Fluorescence Based Microscopy.
Proceedings of the 2018 International Conference on Biomedical Engineering and Applications, 2018
2017
DNLM-IIFFT: An Implementation of the Deceived Non Local Means Filter Using Integral Images and the Fast Fourier Transform for a Reduced Computational Cost.
Proceedings of the Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications, 2017