Saúl Calderón Ramírez

Publication Activity (10 Years)

Years Active: 2017-2024
Publications (10 Years): 36

Top Topics

Fluorescence Microscopy

Preprocessing Stage

Top Venues

IEEE Trans. Artif. Intell.

Publications

Stefan Bott, Horacio Saggion, Nelson Perez-Rojas, Martin Solis-Salazar, Saúl Calderón Ramírez
MultiLS-SP/CA: Lexical Complexity Prediction and Lexical Simplification Resources for Catalan and Spanish. CoRR (2024)
Nelson Perez-Rojas, Saúl Calderón Ramírez, Martin Solis-Salazar, Mario Romero-Sandoval, Monica Arias-Monge, Horacio Saggion
A Novel Dataset for Financial Education Text Simplification in Spanish. CoRR (2023)
Ricardo Javier Fuentes-Fino, Saúl Calderón Ramírez, Enrique Domínguez, Ezequiel López-Rubio, David A. Elizondo, Miguel A. Molina-Cabello
An uncertainty estimator method based on the application of feature density to classify mammograms for breast cancer detection. Neural Comput. Appl. 35 (30) (2023)
Saúl Calderón Ramírez, Luis Oala, Jordina Torrents-Barrena, Shengxiang Yang, David A. Elizondo, Armaghan Moemeni, Simon Colreavy-Donnelly, Wojciech Samek, Miguel A. Molina-Cabello, Ezequiel López-Rubio
Dataset Similarity to Assess Semisupervised Learning Under Distribution Mismatch Between the Labeled and Unlabeled Datasets. IEEE Trans. Artif. Intell. 4 (2) (2023)
Fabian Fallas-Moya, Saúl Calderón Ramírez, Amir Sadovnik, Hairong Qi
Object Detection in Pineapple Fields Drone Imagery Using Few Shot Learning and the Segment Anything Model. ICMLA (2023)
Ricardo Javier Fuentes-Fino, Saúl Calderón Ramírez, Enrique Domínguez, Ezequiel López-Rubio, Marco A. Hernandez-Vasquez, Miguel A. Molina-Cabello
Feature Density as an Uncertainty Estimator Method in the Binary Classification Mammography Images Task for a Supervised Deep Learning Model. IWBBIO (2) (2022)
Saúl Calderón Ramírez, Shengxiang Yang, David A. Elizondo
Semisupervised Deep Learning for Image Classification With Distribution Mismatch: A Survey. IEEE Trans. Artif. Intell. 3 (6) (2022)
Isaac Benavides-Mata, Saúl Calderón Ramírez
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)
Saúl Calderón Ramírez, Shengxiang Yang, David A. Elizondo, Armaghan Moemeni
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. 123 (2022)
Saúl Calderón Ramírez, Shengxiang Yang, David A. Elizondo
Semi-supervised Deep Learning for Image Classification with Distribution Mismatch: A Survey. CoRR (2022)
Saúl Calderón Ramírez, Diego Murillo-Hernandez, Kevin Rojas-Salazar, David A. Elizondo, Shengxiang Yang, Armaghan Moemeni, Miguel A. Molina-Cabello
A real use case of semi-supervised learning for mammogram classification in a local clinic of Costa Rica. Medical Biol. Eng. Comput. 60 (4) (2022)
Willard Zamora-Cárdenas, Mauro Mendez, Saúl Calderón Ramírez, Martin Vargas, Gerardo Monge, Steve Quiros, David A. Elizondo, Miguel A. Molina-Cabello
Enforcing Morphological Information in Fully Convolutional Networks to Improve Cell Instance Segmentation in Fluorescence Microscopy Images. CoRR (2021)
Luis Oala, Andrew G. Murchison, Pradeep Balachandran, Shruti Choudhary, Jana Fehr, Alixandro Werneck Leite, Peter G. Goldschmidt, Christian Johner, Elora D. M. Schörverth, Rose Nakasi, Martin Meyer, Federico Cabitza, Pat Baird, Carolin Prabhu, Eva Weicken, Xiaoxuan Liu, Markus Wenzel, Steffen Vogler, Darlington Ahiale Akogo, Shada Alsalamah, Emre Kazim, Adriano S. Koshiyama, Sven Piechottka, Sheena Macpherson, Ian Shadforth, Regina Geierhofer, Christian Matek, Joachim Krois, Bruno Sanguinetti, Matthew Arentz, Pavol Bielik, Saúl Calderón Ramírez, Auss Abbood, Nicolas Langer, Stefan Haufe, Ferath Kherif, Sameer Pujari, Wojciech Samek, Thomas Wiegand
Machine Learning for Health: Algorithm Auditing & Quality Control. J. Medical Syst. 45 (12) (2021)
Saúl Calderón Ramírez, Shengxiang Yang, Armaghan Moemeni, David A. Elizondo, Simon Colreavy-Donnelly, Luis Fernando Chavarria-Estrada, Miguel A. Molina-Cabello
Correcting data imbalance for semi-supervised COVID-19 detection using X-ray chest images. Appl. Soft Comput. 111 (2021)
Saúl Calderón Ramírez, Diego Murillo-Hernandez, Kevin Rojas-Salazar, David A. Elizondo, Shengxiang Yang, Miguel A. Molina-Cabello
A Real Use Case of Semi-Supervised Learning for Mammogram Classification in a Local Clinic of Costa Rica. CoRR (2021)
Saúl Calderón Ramírez, Luis Oala
More Than Meets The Eye: Semi-supervised Learning Under Non-IID Data. CoRR (2021)
Saúl Calderón Ramírez, Shengxiang Yang, David A. Elizondo, Armaghan Moemeni
Dealing with Distribution Mismatch in Semi-supervised Deep Learning for Covid-19 Detection Using Chest X-ray Images: A Novel Approach Using Feature Densities. CoRR (2021)
Saúl Calderón Ramírez, Shengxiang Yang, Armaghan Moemeni, Simon Colreavy-Donnelly, David A. Elizondo, Luis Oala, Jorge Rodríguez-Capitán, Manuel Jiménez-Navarro, Ezequiel López-Rubio, Miguel A. Molina-Cabello
Improving Uncertainty Estimation With Semi-Supervised Deep Learning for COVID-19 Detection Using Chest X-Ray Images. IEEE Access 9 (2021)
Saúl Calderón Ramírez, Diego Murillo-Hernandez, Kevin Rojas-Salazar, Luis-Alexander Calvo-Valverd, Shengxiang Yang, Armaghan Moemeni, David A. Elizondo, Ezequiel López-Rubio, Miguel A. Molina-Cabello
Improving Uncertainty Estimations for Mammogram Classification using Semi-Supervised Learning. IJCNN (2021)
Willard Zamora-Cárdenas, Mauro Mendez, Saúl Calderón Ramírez, Martin Vargas, Gerardo Monge, Steve Quiros, David A. Elizondo, Jordina Torrents-Barrena, Miguel A. Molina-Cabello
Enforcing Morphological Information in Fully Convolutional Networks to Improve Cell Instance Segmentation in Fluorescence Microscopy Images. IWANN (1) (2021)
Angel García-Pedrero, Ana Garcia-Cervigon, Jose M. Olano, Miguel Garcia-Hidalgo, Mario Lillo-Saavedra, Consuelo Gonzalo-Martín, Cristina Caetano, Saúl Calderón Ramírez
Convolutional neural networks for segmenting xylem vessels in stained cross-sectional images. Neural Comput. Appl. 32 (24) (2020)
Saúl Calderón Ramírez, Luis Oala, Jordina Torrents-Barrena, Shengxiang Yang, Armaghan Moemeni, Wojciech Samek, Miguel A. Molina-Cabello
MixMOOD: A systematic approach to class distribution mismatch in semi-supervised learning using deep dataset dissimilarity measures. CoRR (2020)
Luis Oala, Jana Fehr, Luca Gilli, Pradeep Balachandran, Alixandro Werneck Leite, Saúl Calderón Ramírez, Danny Xie Li, Gabriel Nobis, Erick Alejandro Muñoz Alvarado, Giovanna Jaramillo-Gutierrez, Christian Matek, Arun Shroff, Ferath Kherif, Bruno Sanguinetti, Thomas Wiegand
ML4H Auditing: From Paper to Practice. ML4H@NeurIPS (2020)
Saúl Calderón Ramírez, Shengxiang Yang, Armaghan Moemeni, David A. Elizondo, Simon Colreavy-Donnelly, Luis Fernando Chavarria-Estrada, Miguel A. Molina-Cabello
Correcting Data Imbalance for Semi-Supervised Covid-19 Detection Using X-ray Chest Images. CoRR (2020)
Ariana Bermudez, Saúl Calderón Ramírez, Trevor Thang, Pascal N. Tyrrell, Armaghan Moemeni, Shengxiang Yang, Jordina Torrents-Barrena
A First Glance to the Quality Assessment of Dental Photostimulable Phosphor Plates with Deep Learning. IJCNN (2020)
Saúl Calderón Ramírez, Raghvendra Giri, Shengxiang Yang, Armaghan Moemeni, Mario Umaña, David A. Elizondo, Jordina Torrents-Barrena, Miguel A. Molina-Cabello
Dealing with Scarce Labelled Data: Semi-supervised Deep Learning with Mix Match for Covid-19 Detection Using Chest X-ray Images. ICPR (2020)
Joel Barrantes-Garro, Hellen Rodríguez-Morales, Adrián Garnier-Artiñano, Saúl Calderón Ramírez, Fabian Porras-Jiménez, Luís Carlos Corrales-Arley, Ricardo Brenes-Camacho
Insight GT: A Public, Fast, Web Image Ground Truth Authoring Tool. CARLA (2019)
Erick Alfaro, Ximena Bolaños Fonseca, Enrique M. Albornoz, César Ernesto Martínez, Saúl Calderón Ramírez
A Brief Analysis of U-Net and Mask R-CNN for Skin Lesion Segmentation. IWOBI (2019)
Iván Calvo, Saúl Calderón Ramírez, Jordina Torrents-Barrena, Erick Muñoz, Domenec Puig
Assessing the Impact of a Preprocessing Stage on Deep Learning Architectures for Breast Tumor Multi-class Classification with Histopathological Images. CARLA (2019)
Jose Carranza-Rojas, Saúl Calderón Ramírez, Adán Mora-Fallas, Michael Granados-Menani, Jordina Torrents-Barrena
Unsharp Masking Layer: Injecting Prior Knowledge in Convolutional Networks for Image Classification. ICANN (3) (2019)
Juan Villacis-Llobet, Marco Lucio-Troya, Marvin Calvo-Navarro, Saúl Calderón Ramírez, Erick Mata-Montero
A First Glance into Reversing Senescence on Herbarium Sample Images Through Conditional Generative Adversarial Networks. CARLA (2019)
Mauro Mendez, Saúl Calderón Ramírez, Pascal N. Tyrrell
Using Cluster Analysis to Assess the Impact of Dataset Heterogeneity on Deep Convolutional Network Accuracy: A First Glance. CARLA (2019)
Angel García-Pedrero, Ana Garcia-Cervigon, Cristina Caetano, Saúl Calderón Ramírez, Jose M. Olano, Consuelo Gonzalo-Martín, Mario Lillo-Saavedra, Miguel Garcia-Hidalgo
Xylem Vessels Segmentation Through a Deep Learning Approach: a First Look. IWOBI (2018)
Saúl Calderón Ramírez, Joel Barrantes, J. Schuster, Mauro Mendez, Jakub Begera
Automatic Calibration of the Deceived Non Local Means Filter for Improving the Segmentation of Cells in Fluorescence Based Microscopy. ICBEA (2018)
Saúl Calderón Ramírez, Fabian Fallas, Manuel Zumbado, Pascal N. Tyrrell, Hershel Stark, Ziga Emersic, Blaz Meden, Martin Solis
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. ICIP (2018)
Saúl Calderón Ramírez, Manuel Zumbado Corrales
DNLM-IIFFT: An Implementation of the Deceived Non Local Means Filter Using Integral Images and the Fast Fourier Transform for a Reduced Computational Cost. CIARP (2017)