| A dataset of microscopic peripheral blood cell images for development of automatic recognition systems A Acevedo, A Merino, S Alférez, Á Molina, L Boldú, J Rodellar Data in brief 30, 105474, 2020 | 234 | 2020 |
| 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 | 190 | 2019 |
| 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 | 134 | 2018 |
| 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 | 114 | 2018 |
| 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 | 76 | 2020 |
| 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 | 75 | 2018 |
| 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 | 74 | 2015 |
| 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 | 60 | 2019 |
| 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 | 57 | 2019 |
| 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 | 47 | 2017 |
| 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 | 42 | 2021 |
| 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 | 36 | 2020 |
| 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 | 34 | 2014 |
| 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 | 28 | 2019 |
| 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 | 26 | 2016 |
| 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 | 25 | 2021 |
| 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 | 21 | 2017 |
| 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 | 11 | 2023 |
| 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 | 9 | 2022 |
| 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 | 6 | 2011 |
José RodellarProfessor, Technical University of Catalonia (UPC - BARCELONATECH), CoDAlabVerified email at upc.edu
