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Yonatan Savir
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2020 – today
- 2024
- [j5]Ronen Taub
, Yonatan Savir:
SAF: Smart Aggregation Framework for Revealing Atoms Importance Rank and Improving Prediction Rates in Drug Discovery. J. Chem. Inf. Model. 64(10): 4021-4030 (2024) - [c8]Ronen Taub, Yonatan Savir:
Ranking the Importance of Spatiotemporal Windows of EEG Signals Results in a Better Alzheimer's Disease Prediction. EMBC 2024: 1-6 - [i11]Nati Daniel, May Nathan, Eden Azeroual, Yael Fisher, Yonatan Savir:
PriorPath: Coarse-To-Fine Approach for Controlled De-Novo Pathology Semantic Masks Generation. CoRR abs/2411.16515 (2024) - 2023
- [c7]Eliel Aknin, Ariel Larey, Julie M. Caldwell, Margaret H. Collins, Marc E. Rothenberg, Yonatan Savir:
Harnessing Digital Pathology And Causal Learning To Improve Eosinophilic Esophagitis Dietary Treatment Assignment. CIBCB 2023: 1-8 - [c6]Nati Daniel, Tanya Wasserman, Zohar Adler, Tomer Czyzewski, Yonatan Savir:
Machine Learning Reveals The Effect of Maternal Age on The Mouse Pre-Implantation Embryo Morphokinetics. CIBCB 2023: 1-8 - [c5]Ronen Taub, Tanya Wasserman, Yonatan Savir:
Symbiotic Message Passing Model for Transfer Learning between Anti-Fungal and Anti-Bacterial Domains. CIBCB 2023: 1-7 - [c4]Nati Daniel, Eliel Aknin, Ariel Larey, Yoni Peretz, Guy Sela, Yael Fisher, Yonatan Savir:
Between Generating Noise and Generating Images: Noise in the Correct Frequency Improves the Quality of Synthetic Histopathology Images for Digital Pathology. EMBC 2023: 1-7 - [c3]Ariel Larey, Nati Daniel, Eliel Aknin, Yael Fisher, Yonatan Savir:
DEPAS: De-novo Pathology Semantic Masks using a Generative Model. EMBC 2023: 1-7 - [i10]Ariel Larey, Nati Daniel, Eliel Aknin, Yael Fisher, Yonatan Savir:
DEPAS: De-novo Pathology Semantic Masks using a Generative Model. CoRR abs/2302.06513 (2023) - [i9]Nati Daniel, Eliel Aknin, Ariel Larey, Yoni Peretz, Guy Sela, Yael Fisher, Yonatan Savir:
Between Generating Noise and Generating Images: Noise in the Correct Frequency Improves the Quality of Synthetic Histopathology Images for Digital Pathology. CoRR abs/2302.06549 (2023) - [i8]Ronen Taub, Tanya Wasserman, Yonatan Savir:
Symbiotic Message Passing Model for Transfer Learning between Anti-Fungal and Anti-Bacterial Domains. CoRR abs/2304.07017 (2023) - [i7]Eliel Aknin, Ariel Larey, Julie M. Caldwell, Margaret H. Collins, Juan P. Abonia
Harnessing Digital Pathology And Causal Learning To Improve Eosinophilic Esophagitis Dietary Treatment Assignment. CoRR abs/2304.07787 (2023) - [i6]Ronen Taub, Yonatan Savir:
SAF: Smart Aggregation Framework for Revealing Atoms Importance Rank and Improving Prediction Rates in Drug Discovery. CoRR abs/2310.03028 (2023) - 2022
- [j4]Sabrin Hilau
Density-dependent effects are the main determinants of variation in growth dynamics between closely related bacterial strains. PLoS Comput. Biol. 18(10): 1010565 (2022) - [c2]Nati Daniel, Ariel Larey
A Deep Multi-Label Segmentation Network For Eosinophilic Esophagitis Whole Slide Biopsy Diagnostics. EMBC 2022: 3211-3217 - [i5]Ariel Larey, Eliel Aknin, Nati Daniel, Garrett A. Osswald, Julie M. Caldwell, Mark Rochman, Tanya Wasserman, Margaret H. Collins, Nicoleta C. Arva, Guang-Yu Yang, Marc E. Rothenberg, Yonatan Savir:
Harnessing Artificial Intelligence to Infer Novel Spatial Biomarkers for the Diagnosis of Eosinophilic Esophagitis. CoRR abs/2205.13583 (2022) - 2021
- [i4]Tomer Czyzewski, Nati Daniel, Mark Rochman, Julie M. Caldwell, Garrett A. Osswald, Margaret H. Collins, Marc E. Rothenberg, Yonatan Savir:
Machine learning approach for biopsy-based identification of eosinophilic esophagitis reveals importance of global features. CoRR abs/2101.04989 (2021) - [i3]Nati Daniel
PECNet: A Deep Multi-Label Segmentation Network for Eosinophilic Esophagitis Biopsy Diagnostics. CoRR abs/2103.02015 (2021)
2010 – 2019
- 2017
- [j3]Yonatan Savir, Alexander Martynov
Achieving global perfect homeostasis through transporter regulation. PLoS Comput. Biol. 13(4) (2017) - 2012
- [j2]Yonatan Savir, Nir Waysbort, Yaron E. Antebi
Balancing speed and accuracy of polyclonal T cell activation: a role for extracellular feedback. BMC Syst. Biol. 6: 111 (2012) - 2010
- [i2]Yonatan Savir, Tsvi Tlusty:
Molecular Recognition as an Information Channel: The Role of Conformational Changes. CoRR abs/1007.4467 (2010) - [i1]Yonatan Savir, Tsvi Tlusty:
Optimal Design of a Molecular Recognizer: Molecular Recognition as a Bayesian Signal Detection Problem. CoRR abs/1007.4527 (2010)
2000 – 2009
- 2009
- [c1]Yonatan Savir, Tsvi Tlusty
Molecular recognition as an information channel: The role of conformational changes. CISS 2009: 835-840 - 2008
- [j1]Yonatan Savir, Tsvi Tlusty
Optimal Design of a Molecular Recognizer: Molecular Recognition as a Bayesian Signal Detection Problem. IEEE J. Sel. Top. Signal Process. 2(3): 390-399 (2008)
Coauthor Index
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