Yonatan Savir
Orcid: 0000-0002-5345-8491
According to our database1,
Yonatan Savir
authored at least 16 papers
between 2008 and 2024.
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Bibliography
2024
SAF: Smart Aggregation Framework for Revealing Atoms Importance Rank and Improving Prediction Rates in Drug Discovery.
J. Chem. Inf. Model., 2024
2023
Harnessing Digital Pathology And Causal Learning To Improve Eosinophilic Esophagitis Dietary Treatment Assignment.
CoRR, 2023
Proceedings of the 45th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2023
Between Generating Noise and Generating Images: Noise in the Correct Frequency Improves the Quality of Synthetic Histopathology Images for Digital Pathology.
Proceedings of the 45th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2023
Symbiotic Message Passing Model for Transfer Learning between Anti-Fungal and Anti-Bacterial Domains.
Proceedings of the IEEE Conference on Computational Intelligence in Bioinformatics and Computational Biology, 2023
Machine Learning Reveals The Effect of Maternal Age on The Mouse Pre-Implantation Embryo Morphokinetics.
Proceedings of the IEEE Conference on Computational Intelligence in Bioinformatics and Computational Biology, 2023
Harnessing Digital Pathology And Causal Learning To Improve Eosinophilic Esophagitis Dietary Treatment Assignment.
Proceedings of the IEEE Conference on Computational Intelligence in Bioinformatics and Computational Biology, 2023
2022
Density-dependent effects are the main determinants of variation in growth dynamics between closely related bacterial strains.
PLoS Comput. Biol., October, 2022
Harnessing Artificial Intelligence to Infer Novel Spatial Biomarkers for the Diagnosis of Eosinophilic Esophagitis.
CoRR, 2022
A Deep Multi-Label Segmentation Network For Eosinophilic Esophagitis Whole Slide Biopsy Diagnostics.
Proceedings of the 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2022
2021
PECNet: A Deep Multi-Label Segmentation Network for Eosinophilic Esophagitis Biopsy Diagnostics.
CoRR, 2021
Machine learning approach for biopsy-based identification of eosinophilic esophagitis reveals importance of global features.
CoRR, 2021
2017
PLoS Comput. Biol., 2017
2012
Balancing speed and accuracy of polyclonal T cell activation: a role for extracellular feedback.
BMC Syst. Biol., 2012
2009
Proceedings of the 43rd Annual Conference on Information Sciences and Systems, 2009
2008
Optimal Design of a Molecular Recognizer: Molecular Recognition as a Bayesian Signal Detection Problem.
IEEE J. Sel. Top. Signal Process., 2008