Alférez S[au] - Search Results

Year	Number of Results
2013	1
2014	1
2015	1
2016	2
2017	2
2018	2
2019	4
2020	4
2021	2
2022	1

1

Optimizing morphology through blood cell image analysis.

Merino A, Puigví L, Boldú L, Alférez S, Rodellar J. Merino A, et al. Among authors: alferez s. Int J Lab Hematol. 2018 May;40 Suppl 1:54-61. doi: 10.1111/ijlh.12832. Int J Lab Hematol. 2018. PMID: 29741256 Free article. Review.

2

Image processing and machine learning in the morphological analysis of blood cells.

Rodellar J, Alférez S, Acevedo A, Molina A, Merino A. Rodellar J, et al. Among authors: alferez s. Int J Lab Hematol. 2018 May;40 Suppl 1:46-53. doi: 10.1111/ijlh.12818. Int J Lab Hematol. 2018. PMID: 29741258 Free article. Review.

3

Automatic identification of malaria and other red blood cell inclusions using convolutional neural networks.

Molina A, Rodellar J, Boldú L, Acevedo A, Alférez S, Merino A. Molina A, et al. Among authors: alferez s. Comput Biol Med. 2021 Sep;136:104680. doi: 10.1016/j.compbiomed.2021.104680. Epub 2021 Jul 22. Comput Biol Med. 2021. PMID: 34329861

4

The limited roles of cognitive capabilities and future time perspective in contributing to positivity effects.

Barber SJ, Lopez N, Cadambi K, Alferez S. Barber SJ, et al. Among authors: alferez s. Cognition. 2020 Jul;200:104267. doi: 10.1016/j.cognition.2020.104267. Epub 2020 Mar 28. Cognition. 2020. PMID: 32229343 Review.

5

A new convolutional neural network predictive model for the automatic recognition of hypogranulated neutrophils in myelodysplastic syndromes.

Acevedo A, Merino A, Boldú L, Molina Á, Alférez S, Rodellar J. Acevedo A, et al. Among authors: alferez s. Comput Biol Med. 2021 Jul;134:104479. doi: 10.1016/j.compbiomed.2021.104479. Epub 2021 May 11. Comput Biol Med. 2021. PMID: 34010795

6

Recognition of peripheral blood cell images using convolutional neural networks.

Acevedo A, Alférez S, Merino A, Puigví L, Rodellar J. Acevedo A, et al. Among authors: alferez s. Comput Methods Programs Biomed. 2019 Oct;180:105020. doi: 10.1016/j.cmpb.2019.105020. Epub 2019 Aug 9. Comput Methods Programs Biomed. 2019. PMID: 31425939

7

A Deep Learning Approach for Segmentation of Red Blood Cell Images and Malaria Detection.

Delgado-Ortet M, Molina A, Alférez S, Rodellar J, Merino A. Delgado-Ortet M, et al. Among authors: alferez s. Entropy (Basel). 2020 Jun 13;22(6):657. doi: 10.3390/e22060657. Entropy (Basel). 2020. PMID: 33286429 Free PMC article.

8

A dataset of microscopic peripheral blood cell images for development of automatic recognition systems.

Acevedo A, Merino A, Alférez S, Molina Á, Boldú L, Rodellar J. Acevedo A, et al. Among authors: alferez s. Data Brief. 2020 Apr 8;30:105474. doi: 10.1016/j.dib.2020.105474. eCollection 2020 Jun. Data Brief. 2020. PMID: 32346559 Free PMC article.

9

Sequential classification system for recognition of malaria infection using peripheral blood cell images.

Molina A, Alférez S, Boldú L, Acevedo A, Rodellar J, Merino A. Molina A, et al. Among authors: alferez s. J Clin Pathol. 2020 Oct;73(10):665-670. doi: 10.1136/jclinpath-2019-206419. Epub 2020 Mar 16. J Clin Pathol. 2020. PMID: 32179558

10

Color clustering segmentation framework for image analysis of malignant lymphoid cells in peripheral blood.

Alférez S, Merino A, Acevedo A, Puigví L, Rodellar J. Alférez S, et al. Med Biol Eng Comput. 2019 Jun;57(6):1265-1283. doi: 10.1007/s11517-019-01954-7. Epub 2019 Feb 7. Med Biol Eng Comput. 2019. PMID: 30730028

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