Optimal Design of a Molecular Recognizer: Molecular Recognition as a Bayesian Signal Detection Problem. - Yonatan Savir; Tsvi Tlusty (IEEE J. Sel. Top. Signal Process., 2008)

Molecular recognition as an information channel: The role of conformational changes. - Yonatan Savir; Tsvi Tlusty (CISS, 2009)

Balancing speed and accuracy of polyclonal T cell activation: a role for extracellular feedback. - Yonatan Savir; Nir Waysbort; Yaron E. Antebi; Tsvi Tlusty; Nir Friedman (BMC Syst. Biol., 2012)

Achieving global perfect homeostasis through transporter regulation. - Yonatan Savir; Alexander Martynov; Michael Springer (PLoS Comput. Biol., 2017)

Machine learning approach for biopsy-based identification of eosinophilic esophagitis reveals importance of global features. - Tomer Czyzewski; Nati Daniel; Mark Rochman; Julie M. Caldwell; Garrett A. Osswald; Margaret H. Collins; Marc E. Rothenberg; Yonatan Savir (CoRR, 2021)

PECNet: A Deep Multi-Label Segmentation Network for Eosinophilic Esophagitis Biopsy Diagnostics. - Nati Daniel; Ariel Larey; Eliel Aknin; Garrett A. Osswald; Julie M. Caldwell; Mark Rochman; Margaret H. Collins; Guang-Yu Yang; Nicoleta C. Arva; Kelley E. Capocelli; Marc E. Rothenberg; Yonatan Savir (CoRR, 2021)

A Deep Multi-Label Segmentation Network For Eosinophilic Esophagitis Whole Slide Biopsy Diagnostics. - Nati Daniel; Ariel Larey; Eliel Aknin; Garrett A. Osswald; Julie M. Caldwell; Mark Rochman; Margaret H. Collins; Guang-Yu Yang; Nicoleta C. Arva; Kelley E. Capocelli; Marc E. Rothenberg; Yonatan Savir (EMBC, 2022)

Harnessing Artificial Intelligence to Infer Novel Spatial Biomarkers for the Diagnosis of Eosinophilic Esophagitis. - 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 (CoRR, 2022)

Density-dependent effects are the main determinants of variation in growth dynamics between closely related bacterial strains. - Sabrin Hilau; Sophia Katz; Tanya Wasserman; Ruth Hershberg; Yonatan Savir (PLoS Comput. Biol., 2022)

Harnessing Digital Pathology And Causal Learning To Improve Eosinophilic Esophagitis Dietary Treatment Assignment. - Eliel Aknin; Ariel Larey; Julie M. Caldwell; Margaret H. Collins; Marc E. Rothenberg; Yonatan Savir (CIBCB, 2023)

Machine Learning Reveals The Effect of Maternal Age on The Mouse Pre-Implantation Embryo Morphokinetics. - Nati Daniel; Tanya Wasserman; Zohar Adler; Tomer Czyzewski; Yonatan Savir (CIBCB, 2023)

Symbiotic Message Passing Model for Transfer Learning between Anti-Fungal and Anti-Bacterial Domains. - Ronen Taub; Tanya Wasserman; Yonatan Savir (CIBCB, 2023)

Between Generating Noise and Generating Images: Noise in the Correct Frequency Improves the Quality of Synthetic Histopathology Images for Digital Pathology. - Nati Daniel; Eliel Aknin; Ariel Larey; Yoni Peretz; Guy Sela; Yael Fisher; Yonatan Savir (EMBC, 2023)

DEPAS: De-novo Pathology Semantic Masks using a Generative Model. - Ariel Larey; Nati Daniel; Eliel Aknin; Yael Fisher; Yonatan Savir (EMBC, 2023)

Harnessing Digital Pathology And Causal Learning To Improve Eosinophilic Esophagitis Dietary Treatment Assignment. - Eliel Aknin; Ariel Larey; Julie M. Caldwell; Margaret H. Collins; Juan P. Abonia; Seema S. Aceves; Nicoleta C. Arva; Mirna Chehade; Evan S. Dellon; Nirmala Gonsalves; Sandeep K. Gupta 004; John Leung; et al. (CoRR, 2023)

Ranking the Importance of Spatiotemporal Windows of EEG Signals Results in a Better Alzheimer's Disease Prediction. - Ronen Taub; Yonatan Savir (EMBC, 2024)

PriorPath: Coarse-To-Fine Approach for Controlled De-Novo Pathology Semantic Masks Generation. - Nati Daniel; May Nathan; Eden Azeroual; Yael Fisher; Yonatan Savir (CoRR, 2024)

SAF: Smart Aggregation Framework for Revealing Atoms Importance Rank and Improving Prediction Rates in Drug Discovery. - Ronen Taub; Yonatan Savir (J. Chem. Inf. Model., 2024)