Alessandro Guida

University of Rennes 2 
"Alessandro Guida"
Mean distance: 19.1 (cluster 55)


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Jane Oakhill grad student University of Sussex, UK
Hubert Tardieu grad student CNRS - Université Paris Descartes
Serge Nicolas grad student 2006 CNRS - Université Paris Descartes
 (Etude de la mémoire de travail à long terme lors de la lecture et de la compréhension de textes : l'apport de la méthode de personnalisation)
Pierre Noel Barrouillet post-doc Dept Psychology, University of Geneve, Switzerland
Fernand R. Gobet post-doc CNRS - Université Paris Descartes
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Fancello L, Guida A, Frige G, et al. (2021) TMBleR, a bioinformatic tool to optimize TMB estimation and predictive power. Bioinformatics (Oxford, England)
Hoar D, Lee PQ, Guida A, et al. (2021) Combined Transfer Learning and Test-Time Augmentation Improves Convolutional Neural Network-Based Semantic Segmentation of Prostate Cancer from Multi-Parametric MR Images. Computer Methods and Programs in Biomedicine. 210: 106375
Guida A, Maherault M. (2021) Bootstrapping the visuospatial bootstrapping effect and testing its spatialisation. Memory (Hove, England). 1-15
Favalli V, Tini G, Bonetti E, et al. (2021) Machine learning-based reclassification of germline variants of unknown significance: The RENOVO algorithm. American Journal of Human Genetics
Gregorc V, Mazzarella L, Lazzari C, et al. (2021) Prospective Validation of the Italian Alliance Against Cancer Lung Panel in Patients With Advanced Non-Small-Cell Lung Cancer. Clinical Lung Cancer
Guida A, Mosinski F, Cipora K, et al. (2020) Spatialization in working memory: can individuals reverse the cultural direction of their thoughts? Annals of the New York Academy of Sciences
Guida A, Fartoukh M, Mathy F. (2020) The development of working memory spatialization revealed by using the cave paradigm in a two-alternative spatial choice. Annals of the New York Academy of Sciences
Guida A, Abrahamse E, van Dijck JP. (2020) About the interplay between internal and external spatial codes in the mind: implications for serial order. Annals of the New York Academy of Sciences
Lee PQ, Guida A, Patterson S, et al. (2019) Model-free prostate cancer segmentation from dynamic contrast-enhanced MRI with recurrent convolutional networks: A feasibility study. Computerized Medical Imaging and Graphics : the Official Journal of the Computerized Medical Imaging Society. 75: 14-23
Guida A, Campitelli G. (2019) Explaining the SPoARC and SNARC effects with knowledge structures: An expertise account. Psychonomic Bulletin & Review
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