Saul Calderon-Ramirez

Hivatkozott rá

	Összes	2020 óta
Hivatkozások	882	830
h-index	14	14
i10-index	21	19

220

110

165

20162017201820192020202120222023202420255 3 30 9 26 134 219 211 203 32

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16 cikk

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Társszerzők

David Elizondo, D. Elizondo, D. A. Eliz...De Montfort University, University of Georgia, Universite Louis PasteurE-mail megerősítve itt: dmu.ac.uk
Shengxiang YangProfessor of Computational Intelligence, De Montfort UniversityE-mail megerősítve itt: dmu.ac.uk
Miguel A. Molina-CabelloUniversity of MalagaE-mail megerősítve itt: lcc.uma.es
Armaghan MoemeniUniversity of NottinghamE-mail megerősítve itt: nottingham.ac.uk
Luis OalaHead of Machine Learning at DotphotonE-mail megerősítve itt: dotphoton.com
Pascal N. TyrrellDepartment of Medical Imaging - University of TorontoE-mail megerősítve itt: tyrrell4innovation.ca
Ezequiel López RubioDepartamento de Lenguajes y Ciencias de la Computación, Universidad de MálagaE-mail megerősítve itt: lcc.uma.es
Angel M. Garcia-PedreroUniversidad Politécnica de MadridE-mail megerősítve itt: upm.es
Žiga EmeršičFaculty of Computer and Information Science, University of LjubljanaE-mail megerősítve itt: fri.uni-lj.si
alan moody u of torontoE-mail megerősítve itt: sunnybrook.ca
Francisco SilesFull Professor of Electrical Engineering, Universidad de Costa RicaE-mail megerősítve itt: ucr.ac.cr
Rodrigo A Mora-RodríguezProfessor of Microbiology, University of Costa RicaE-mail megerősítve itt: ucr.ac.cr
Thomas WiegandProfessor, TU Berlin and Fraunhofer HHI, Berlin, GermanyE-mail megerősítve itt: tu-berlin.de
Bruno SanguinettiSenior Researcher, University of GenevaE-mail megerősítve itt: unige.ch
Ferath KherifLaboratoire de Recherche en Neuroimagerie (LREN). Dpt Clinical neuroscience. CHUVE-mail megerősítve itt: unil.ch
Wojciech SamekProfessor at TU Berlin, Head of AI Department at Fraunhofer HHI, BIFOLD FellowE-mail megerősítve itt: tu-berlin.de
César MartínezProfessor, Universidad Nacional del Litoral - Universidad Nacional de Entre RíosE-mail megerősítve itt: sinc.unl.edu.ar
Maria Elena BuemiUniversidad de Buenos AiresE-mail megerősítve itt: dc.uba.ar
Domenec PuigFull Professor, University Rovira i VirgiliE-mail megerősítve itt: urv.cat
Rodrigo Chacón QuesadaResearch Associate, Personal Robotics Laboratory, Imperial College LondonE-mail megerősítve itt: ic.ac.uk

Követés

Saul Calderon-Ramirez

Instituto Tecnológico de Costa Rica

E-mail megerősítve itt: tec.ac.cr - Kezdőlap

Deep Learning Image processing Signal Processing Machine Learning Biomedical Imaging


Cím Rendezés hivatkozások szerint Rendezés év szerint Rendezés cím szerint	Hivatkozott rá Hivatkozott rá	Év
Sample-Size Determination Methodologies for Machine Learning in Medical Imaging Research: A Systematic Review i Indranil Balki, Afsaneh Amirabadi, Jacob Levman, Anne L. Martel, Ziga ... Canadian Association of Radiologists Journal, 2019	257	2019
Machine learning for health: algorithm auditing & quality control L Oala, AG Murchison, P Balachandran, S Choudhary, J Fehr, AW Leite, ... Journal of medical systems 45, 1-8, 2021	53	2021
Correcting data imbalance for semi-supervised covid-19 detection using x-ray chest images S Calderon-Ramirez, S Yang, A Moemeni, D Elizondo, ... Applied Soft Computing 111, 107692, 2021	52	2021
Ml4h auditing: From paper to practice L Oala, J Fehr, L Gilli, P Balachandran, AW Leite, S Calderon-Ramirez, ... Machine learning for health, 280-317, 2020	52	2020
Improving uncertainty estimation with semi-supervised deep learning for COVID-19 detection using chest X-ray images S Calderon-Ramirez, S Yang, A Moemeni, S Colreavy-Donnelly, ... Ieee Access 9, 85442-85454, 2021	47	2021
Dealing with Scarce Labelled Data: Semi-supervised Deep Learning with Mix Match for Covid-19 Detection Using Chest X-ray Images S Calderon-Ramirez, R Giri, A Moemeni, M Umaña, D Elizondo, ... International Conference on Pattern Recognition 2020 (ICPR 2020), 2020	33	2020
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 … S Calderon, F Fallas, M Zumbado, PN Tyrrell, H Stark, Z Emersic, ... 2018 25th IEEE International Conference on Image Processing (ICIP), 1752-1756, 2018	27	2018
Convolutional neural networks for segmenting xylem vessels in stained cross-sectional images SCR Angel Garcia-Pedrero, Ana I. García-Cervigón, José Miguel Olano Neural Computing and Applications, 2019	26*	2019
Improving uncertainty estimations for mammogram classification using semi-supervised learning S Calderon-Ramirez, D Murillo-Hernandez, K Rojas-Salazar, ... International Joint Conference on Neural Networks 2021 (IJCNN 2021), In Press, 2021	24	2021
Dealing with distribution mismatch in semi-supervised deep learning for covid-19 detection using chest x-ray images: A novel approach using feature densities S Calderon-Ramirez, S Yang, D Elizondo, A Moemeni Applied Soft Computing 123, 108983, 2022	21	2022
Semisupervised deep learning for image classification with distribution mismatch: A survey S Calderon-Ramirez, S Yang, D Elizondo IEEE Transactions on Artificial Intelligence 3 (6), 1015-1029, 2022	20	2022
A brief analysis of u-net and mask r-cnn for skin lesion segmentation E Alfaro, XB Fonseca, EM Albornoz, CE Martínez, SC Ramrez 2019 IEEE International Work Conference on Bioinspired Intelligence (IWOBI …, 2019	20	2019
The BEA 2024 shared task on the multilingual lexical simplification pipeline M Shardlow, F Alva-Manchego, RT Batista-Navarro, S Bott, ... Proceedings of the 19th Workshop on Innovative Use of NLP for Building …, 2024	16	2024
A real use case of semi-supervised learning for mammogram classification in a local clinic of Costa Rica S Calderon-Ramirez, D Murillo-Hernandez, K Rojas-Salazar, D Elizondo, ... Medical & biological engineering & computing 60 (4), 1159-1175, 2022	16	2022
Unsharp Masking Layer: Injecting Prior Knowledge in Convolutional Networks for Image Classification JTB Jose Carranza-Rojas, Saul Calderon-Ramirez, Adán Mora-Fallas, Michael ... Lecture Notes in Computer Science 11729, 3-16, 2019	14*	2019
Mixmood: A systematic approach to class distribution mismatch in semi-supervised learning using deep dataset dissimilarity measures S Calderon-Ramirez, L Oala, J Torrents-Barrena, S Yang, A Moemeni, ... arXiv preprint arXiv:2006.07767, 2020	13	2020
Dewaff: A novel image abstraction approach to improve the performance of a cell tracking system S Calderón, A Sáenz, R Mora, F Siles, I Orozco, ME Buemi 2015 4th International Work Conference on Bioinspired Intelligence (IWOBI …, 2015	13	2015
Assessing the impact of a preprocessing stage on deep learning architectures for breast tumor multi-class classification with histopathological images I Calvo, S Calderon, J Torrents-Barrena, E Muñoz, D Puig Latin American High Performance Computing Conference, 262-275, 2019	12	2019
Using cluster analysis to assess the impact of dataset heterogeneity on deep convolutional network accuracy: A first glance M Mendez, S Calderon, PN Tyrrell Latin American High Performance Computing Conference, 307-319, 2019	12	2019
Xylem Vessels Segmentation Through a Deep Learning Approach: a First Look 2018 IEEE International Work Conference on Bioinspired Intelligence (IWOBI), 2018	12	2018

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