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Alessandro Guida

Showing results (31-40 of 46) with videos related to

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Eukaryotic Cell|January 20, 2009
Correlation between biofilm formation and the hypoxic response in Candida parapsilosisTristan Rossignol, Chen Ding, Alessandro Guida, et al.
Eukaryotic Cell|September 28, 2010
Regulation of the hypoxic response in Candida albicansJohn M Synnott, Alessandro Guida, Siobhan Mulhern-Haughey, et al.
Attention, Perception & Psychophysics|June 1, 2023
Optimized experimental designs to best detect spatial positional association of response codes in working memoryMorgane Ftaïta, Maëliss Vivion, Emilie Banks, et al.
European Radiology|August 30, 2024
Can deep learning classify cerebral ultrasound images for the detection of brain injury in very preterm infants?Tahani Ahmad, Alessandro Guida, Samuel Stewart, et al.
Mayo Clinic Proceedings. Digital Health|April 10, 2025
Deep Learning Model for Predicting Neurodevelopmental Outcome in Very Preterm Infants Using Cerebral UltrasoundTahani M Ahmad, Alessandro Guida, Sam Stewart, et al.
American Journal of Human Genetics|March 24, 2021
Machine learning-based reclassification of germline variants of unknown significance: The RENOVO algorithmValentina Favalli, Giulia Tini, Emanuele Bonetti, et al.
Cognition|February 28, 2018
Spatialization in working memory is related to literacy and reading direction: Culture "literarily" directs our thoughtsAlessandro Guida, Ahmed M Megreya, Magali Lavielle-Guida, et al.
Plos One|December 7, 2011
Conserved and divergent roles of Bcr1 and CFEM proteins in Candida parapsilosis and Candida albicansChen Ding, Genevieve M Vidanes, Sarah L Maguire, et al.
BMC Genomics|December 24, 2011
Using RNA-seq to determine the transcriptional landscape and the hypoxic response of the pathogenic yeast Candida parapsilosisAlessandro Guida, Claudia Lindstädt, Sarah L Maguire, et al.
Computerized Medical Imaging and Graphics : the Official Journal of the Computerized Medical Imaging Society|May 23, 2019
Model-free prostate cancer segmentation from dynamic contrast-enhanced MRI with recurrent convolutional networks: A feasibility studyPeter Q Lee, Alessandro Guida, Steve Patterson, et al.
Pageof 5

Showing results (31-40 of 46) with videos related to

Sort By:
Pageof 5
Eukaryotic Cell|January 20, 2009
Correlation between biofilm formation and the hypoxic response in Candida parapsilosisTristan Rossignol, Chen Ding, Alessandro Guida, et al.
Eukaryotic Cell|September 28, 2010
Regulation of the hypoxic response in Candida albicansJohn M Synnott, Alessandro Guida, Siobhan Mulhern-Haughey, et al.
Attention, Perception & Psychophysics|June 1, 2023
Optimized experimental designs to best detect spatial positional association of response codes in working memoryMorgane Ftaïta, Maëliss Vivion, Emilie Banks, et al.
European Radiology|August 30, 2024
Can deep learning classify cerebral ultrasound images for the detection of brain injury in very preterm infants?Tahani Ahmad, Alessandro Guida, Samuel Stewart, et al.
Mayo Clinic Proceedings. Digital Health|April 10, 2025
Deep Learning Model for Predicting Neurodevelopmental Outcome in Very Preterm Infants Using Cerebral UltrasoundTahani M Ahmad, Alessandro Guida, Sam Stewart, et al.
American Journal of Human Genetics|March 24, 2021
Machine learning-based reclassification of germline variants of unknown significance: The RENOVO algorithmValentina Favalli, Giulia Tini, Emanuele Bonetti, et al.
Cognition|February 28, 2018
Spatialization in working memory is related to literacy and reading direction: Culture "literarily" directs our thoughtsAlessandro Guida, Ahmed M Megreya, Magali Lavielle-Guida, et al.
Plos One|December 7, 2011
Conserved and divergent roles of Bcr1 and CFEM proteins in Candida parapsilosis and Candida albicansChen Ding, Genevieve M Vidanes, Sarah L Maguire, et al.
BMC Genomics|December 24, 2011
Using RNA-seq to determine the transcriptional landscape and the hypoxic response of the pathogenic yeast Candida parapsilosisAlessandro Guida, Claudia Lindstädt, Sarah L Maguire, et al.
Computerized Medical Imaging and Graphics : the Official Journal of the Computerized Medical Imaging Society|May 23, 2019
Model-free prostate cancer segmentation from dynamic contrast-enhanced MRI with recurrent convolutional networks: A feasibility studyPeter Q Lee, Alessandro Guida, Steve Patterson, et al.
Pageof 5