Nati Daniel
Orcid: 0000-0002-0939-3379
According to our database1,
Nati Daniel
authored at least 15 papers
between 2021 and 2024.
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Timeline
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2024
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Book In proceedings Article PhD thesis Dataset OtherLinks
On csauthors.net:
Bibliography
2024
CSG: A Context-Semantic Guided Diffusion Approach in De Novo Musculoskeletal Ultrasound Image Generation.
CoRR, 2024
PriorPath: Coarse-To-Fine Approach for Controlled De-Novo Pathology Semantic Masks Generation.
CoRR, 2024
Semantic Segmentation Refiner for Ultrasound Applications with Zero-Shot Foundation Models.
Proceedings of the 46th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2024
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
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
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
Proceedings of the IEEE International Conference on Artificial Intelligence and Virtual Reality, 2022
2021
Sensors, 2021
Sensors, 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