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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)A Deep Multi-Label Segmentation Network For Eosinophilic Esophagitis Whole Slide Biopsy Diagnostics., , , , , , , , , and 2 other author(s). EMBC, page 3211-3217. IEEE, (2022)Harnessing Digital Pathology And Causal Learning To Improve Eosinophilic Esophagitis Dietary Treatment Assignment., , , , , , , , , and 7 other author(s). CoRR, (2023)PECNet: A Deep Multi-Label Segmentation Network for Eosinophilic Esophagitis Biopsy Diagnostics., , , , , , , , , and 2 other author(s). CoRR, (2021)Between Generating Noise and Generating Images: Noise in the Correct Frequency Improves the Quality of Synthetic Histopathology Images for Digital Pathology., , , , , , and . EMBC, page 1-7. IEEE, (2023)Multiple Inertial Measurement Units-An Empirical Study., , and . IEEE Access, (2020)Harnessing Digital Pathology And Causal Learning To Improve Eosinophilic Esophagitis Dietary Treatment Assignment., , , , , and . CIBCB, page 1-8. IEEE, (2023)