Search Results - "Zerbini, Rachel"

Hereditary hemorrhagic telangiectasia and COVID-19 by Mariano, Rachel Zerbini, Pereira, Monica Corso, Reis, Fabiano

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COVID-19 and pulmonary embolism: Do not forget the association by Mariano, Rachel Zerbini, Ramos, Marcelo de Carvalho, Reis, Fabiano

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Covid-19 overlapping with systemic sclerosis by Mariano, Rachel Zerbini, Rio, Ana Paula Toledo Del, Reis, Fabiano

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Pulmonary Sarcoidosis Induced by Anti–Tumor Necrosis Factor Therapy: A Paradoxical Effect by Aliel Vigano Pugliesi, Alisson, Zerbini Mariano, Rachel, Matsunaga De Angelis, Camila, Barros Bertolo, Manoel, Alexandre Yazbek, Michel

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Improving Automated Lung Segmentation in Ct Images by Adding Anomalies Adjacent to the Pleura by Sousa, Azael M., Da Silva, Ilan F., Lapa, Noemi M., Zerbini, Rachel, Reis, Fabiano, Comba, Joao L. D., Falcao, Alexandre X.

“…Automated lung segmentation in anomalous CT images is of preeminent importance for computer-aided diagnosis systems. State-of-the-art methods tend to either…”
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Correlação entre ressonância magnética, expressão do Ki-67 e p53, e prognóstico em astrocitomas by Cury, Patrícia, Filho, José, Arruda, Darlene, Rufca, Gibran, Zerbini, Rachel

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Hereditary hemorrhagic telangiectasia and COVID-19 by Mariano, Rachel Zerbini, Pereira, Monica Corso, Reis, Fabiano

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COVID-19 and pulmonary embolism: Do not forget the association by Mariano, Rachel Zerbini, Ramos, Marcelo de Carvalho, Reis, Fabiano

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CNN Filter Learning from Drawn Markers for the Detection of Suggestive Signs of COVID-19 in CT Images by Sousa, Azael M, Reis, Fabiano, Zerbini, Rachel, Comba, João L. D, Falcão, Alexandre X

“…Early detection of COVID-19 is vital to control its spread. Deep learning methods have been presented to detect suggestive signs of COVID-19 from chest CT…”
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CNN Filter Learning from Drawn Markers for the Detection of Suggestive Signs of COVID-19 in CT Images by Sousa, Azael M., Reis, Fabiano, Zerbini, Rachel, Comba, Joao L. D., Falcao, Alexandre X.

“…Early detection of COVID-19 is vital to control its spread. Deep learning methods have been presented to detect suggestive signs of COVID-19 from chest CT…”
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Correlação entre ressonância magnética, expressão do Ki-67 e p53, e prognóstico em astrocitomas by Cury, Patrícia Maluf, Filho, José Roberto Lopes Ferraz, Arruda, Darlene, Rufca, Gibran Franzoni, Zerbini, Rachel

“…Resumo Objetivos  Avaliar a correlação entre a expressão do Ki-67 e do p53 em astrocitomas graus II a IV, as características da RM e seu prognóstico. Métodos e…”
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Pulmonary Sarcoidosis Induced by Anti–Tumor Necrosis Factor Therapy: A Paradoxical Effect by Aliel Vigano Pugliesi, Alisson, Zerbini Mariano, Rachel, Matsunaga De Angelis, Camila, Barros Bertolo, Manoel, Alexandre Yazbek, Michel

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Influência das variações circadianas e de temperatura no AVEi by Rufca, Gibran Franzoni, Zaffani, Eduardo, Zerbini, Rachel, Gaia, Felipe Franco Pinheiro, Oliveira, Fabio de Nazaré, Tognolla, Waldir Antonio

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Influence of circadian and temperature variations on the ischemic stroke by Rufca, Gibran Franzoni, Zaffani, Eduardo, Zerbini, Rachel, Gaia, Felipe Franco Pinheiro, Oliveira, Fabio de Nazaré, Tognolla, Waldir Antonio

“…Ischemic stroke (IS) ranks third as cause of death and annual costs. Literature shows a greater number of cases in the first hours of the morning and on colder…”
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