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Santiago Alférez/ORCID:0000-0001-8661-1096
Santiago Alférez/ORCID:0000-0001-8661-1096
Universidad Politécnica de Cataluña. Departamento de Matemáticas.
Verified email at upc.edu
Title
Cited by
Cited by
Year
A dataset of microscopic peripheral blood cell images for development of automatic recognition systems
A Acevedo, A Merino González, ES Alférez Baquero, Á Molina Borrás, ...
Data in brief 30 (article 105474), 2020
1662020
Recognition of peripheral blood cell images using convolutional neural networks
A Acevedo, S Alférez, A Merino, L Puigví, J Rodellar
Computer methods and programs in biomedicine 180, 105020, 2019
1512019
Image processing and machine learning in the morphological analysis of blood cells
J Rodellar, S Alférez, A Acevedo, A Molina, A Merino
International journal of laboratory hematology 40, 46-53, 2018
1232018
Wind turbine fault detection and classification by means of image texture analysis
M Ruiz, LE Mujica, S Alférez, L Acho, C Tutivén, Y Vidal, J Rodellar, ...
Mechanical Systems and Signal Processing 107, 149-167, 2018
1042018
Automatic recognition of atypical lymphoid cells from peripheral blood by digital image analysis
S Alférez, A Merino, L Bigorra, L Mujica, M Ruiz, J Rodellar
American journal of clinical pathology 143 (2), 168-176, 2015
712015
Optimizing morphology through blood cell image analysis
A Merino, L Puigví, L Boldú, S Alférez, J Rodellar
International journal of laboratory hematology 40, 54-61, 2018
632018
A deep learning approach for segmentation of red blood cell images and malaria detection
M Delgado-Ortet, A Molina, S Alférez, J Rodellar, A Merino
Entropy 22 (6), 657, 2020
542020
Detection of breast cancer using infrared thermography and deep neural networks
FJ Fernández-Ovies, E Santiago Alférez-Baquero, EJ de Andrés-Galiana, ...
Bioinformatics and Biomedical Engineering: 7th International Work-Conference …, 2019
542019
Automatic recognition of different types of acute leukaemia in peripheral blood by image analysis
L Boldú, A Merino, S Alférez, A Molina, A Acevedo, J Rodellar
Journal of Clinical Pathology 72 (11), 755-761, 2019
512019
Feature analysis and automatic identification of leukemic lineage blast cells and reactive lymphoid cells from peripheral blood cell images
L Bigorra, A Merino, S Alferez, J Rodellar
Journal of clinical laboratory analysis 31 (2), e22024, 2017
442017
Sequential classification system for recognition of malaria infection using peripheral blood cell images
A Molina, S Alférez, L Boldú, A Acevedo, J Rodellar, A Merino
Journal of clinical pathology 73 (10), 665-670, 2020
332020
Automatic classification of atypical lymphoid B cells using digital blood image processing
S Alférez, A Merino, LE Mujica, M Ruiz, L Bigorra, J Rodellar
International journal of laboratory hematology 36 (4), 472-480, 2014
332014
Automatic identification of malaria and other red blood cell inclusions using convolutional neural networks
A Molina, J Rodellar, L Boldú, A Acevedo, S Alférez, A Merino
Computers in Biology and Medicine 136, 104680, 2021
302021
Color clustering segmentation framework for image analysis of malignant lymphoid cells in peripheral blood
S Alférez, A Merino, A Acevedo, L Puigví, J Rodellar
Medical & biological engineering & computing 57, 1265-1283, 2019
272019
Characterization and automatic screening of reactive and abnormal neoplastic B lymphoid cells from peripheral blood
S Alférez, A Merino, L Bigorra, J Rodellar
International Journal of Laboratory Hematology 38 (2), 209-219, 2016
262016
A new convolutional neural network predictive model for the automatic recognition of hypogranulated neutrophils in myelodysplastic syndromes
A Acevedo, A Merino, L Boldú, A Molina, S Alférez, J Rodellar
Computers in Biology and Medicine 134, 104479, 2021
212021
New quantitative features for the morphological differentiation of abnormal lymphoid cell images from peripheral blood
L Puigví, A Merino, S Alférez, A Acevedo, J Rodellar
Journal of Clinical Pathology 70 (12), 1038-1048, 2017
212017
A deep learning approach for the morphological recognition of reactive lymphocytes in patients with COVID-19 infection
J Rodellar, K Barrera, S Alférez, L Boldú, J Laguna, A Molina, A Merino
Bioengineering 9 (5), 229, 2022
92022
Automatic normalized digital color staining in the recognition of abnormal blood cells using generative adversarial networks
K Barrera, J Rodellar, S Alférez, A Merino
Computer methods and programs in biomedicine 240, 107629, 2023
62023
Morphological features using digital image processing in lymphoid neoplasias
E Alférez, A Merino, L Mujica, J Rodellar
Int J Lab Hematol 33 (suppl 1), 53, 2011
62011
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Articles 1–20