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Harnessing Artificial Intelligence to Infer Novel Spatial Biomarkers for the Diagnosis of Eosinophilic Esophagitis., , , , , , , , , and 2 other author(s). CoRR, (2022)DEPAS: De-novo Pathology Semantic Masks using a Generative Model., , , , and . EMBC, page 1-7. IEEE, (2023)Density-dependent effects are the main determinants of variation in growth dynamics between closely related bacterial strains., , , , and . PLoS Comput. Biol., 18 (10): 1010565 (October 2022)Symbiotic Message Passing Model for Transfer Learning between Anti-Fungal and Anti-Bacterial Domains., , and . CIBCB, page 1-7. IEEE, (2023)Molecular Recognition as an Information Channel: The Role of Conformational Changes, and . CoRR, (2010)Optimal Design of a Molecular Recognizer: Molecular Recognition as a Bayesian Signal Detection Problem, and . CoRR, (2010)Molecular recognition as an information channel: The role of conformational changes., and . CISS, page 835-840. IEEE, (2009)Machine learning approach for biopsy-based identification of eosinophilic esophagitis reveals importance of global features., , , , , , , and . CoRR, (2021)Balancing speed and accuracy of polyclonal T cell activation: a role for extracellular feedback., , , , and . BMC Syst. Biol., (2012)A Deep Multi-Label Segmentation Network For Eosinophilic Esophagitis Whole Slide Biopsy Diagnostics., , , , , , , , , and 2 other author(s). EMBC, page 3211-3217. IEEE, (2022)