Jose Rodellar

Escola D'Enginyeria De Barcelona Est
Barcelona, CT, Spain

Last Updated: 09/26/2026

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Found 25 publications

Generative Artificial Intelligence in Peripheral Blood Morphology: Synthetic Image Creation and Digital Stain Normalization.

Generative Artificial Intelligence in Peripheral Blood Morphology: Synthetic Image Creation and Digital Stain Normalization.

Journal: International journal of laboratory hematology

Published: January 13, 2026

A deep learning approach for automatic recognition of abnormalities in the cytoplasm of neutrophils.

A deep learning approach for automatic recognition of abnormalities in the cytoplasm of neutrophils.

Journal: Computers in biology and medicine

Published: April 03, 2024

Automatic normalized digital color staining in the recognition of abnormal blood cells using generative adversarial networks.

Automatic normalized digital color staining in the recognition of abnormal blood cells using generative adversarial networks.

Journal: Computer methods and programs in biomedicine

Published: March 07, 2023

Automatic generation of artificial images of leukocytes and leukemic cells using generative adversarial networks (syntheticcellgan).

Automatic generation of artificial images of leukocytes and leukemic cells using generative adversarial networks (syntheticcellgan).

Journal: Computer methods and programs in biomedicine

Published: July 29, 2022

A Deep Learning Approach for the Morphological Recognition of Reactive Lymphocytes in Patients with COVID-19 Infection.

A Deep Learning Approach for the Morphological Recognition of Reactive Lymphocytes in Patients with COVID-19 Infection.

Journal: Bioengineering (Basel, Switzerland)

Published: April 09, 2022

Quantitative features to assist in the diagnostic assessment of chronic lymphocytic leukemia progression†.

Quantitative features to assist in the diagnostic assessment of chronic lymphocytic leukemia progression†.

Journal: The Journal of pathology

Published: November 24, 2021

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

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

Journal: Computers in biology and medicine

Published: March 26, 2021

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

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

Journal: Computers in biology and medicine

Published: November 07, 2020

Atypical lymphoid cells circulating in blood in COVID-19 infection: morphology, immunophenotype and prognosis value.

Atypical lymphoid cells circulating in blood in COVID-19 infection: morphology, immunophenotype and prognosis value.

Journal: Journal of clinical pathology

Published: September 04, 2020

A deep learning model (ALNet) for the diagnosis of acute leukaemia lineage using peripheral blood cell images.

A deep learning model (ALNet) for the diagnosis of acute leukaemia lineage using peripheral blood cell images.

Journal: Computer methods and programs in biomedicine

Published: July 31, 2020

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

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

Journal: Entropy (Basel, Switzerland)

Published: May 15, 2020

An Adaptive-Predictive control scheme with dynamic Hysteresis Modulation applied to a DC-DC buck converter.

An Adaptive-Predictive control scheme with dynamic Hysteresis Modulation applied to a DC-DC buck converter.

Journal: ISA transactions

Published: January 13, 2020

Showing 1-12 of 25

Last Updated: 09/26/2026