Author

Andreu Vives Perelló

ORCID 0000-0002-0624-3375Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

Click to filter author papers

Signature Assays, Organisms & Methods

Click to filter · or open tag

Research Focus:benchmarking· 1 Organism:human· 1 Approach:machine learning (classical)· 1

Frequent Co-Authors

E Güell PenasiD· 1 shared Marina Esquerrà Parés· 1 shared Mikaela Mladenova Koleva· 1 shared

Activity by Year

2022-2022 · peak 1/yr

Co-Author Collaboration Network

3 top collaborators · 3 mutual co-author links

Click any collaborator node to inspect or filter shared papers

Focal author (center)Selected co-authorORCID co-authorUnlinked name

Curved chords = mutual co-authorship

1 shared paperGenetics

E Güell PenasORCID

Mutual co-authors in cluster

Author profile →

1 paper

Recent·Most cited

Aneuploid embryos as a proposal for improving Artificial Intelligence performance

E Güell Penas, Marina Esquerrà Parés, Andreu Vives Perelló, Mikaela Mladenova Koleva

This study shows that using aneuploid embryos improves Machine Learning performance for predicting embryo viability compared to non-implanted embryos.

bioRxiv · Nov 16, 2022 · PreprintGenetics