Nati Daniel

Orcid: 0000-0002-0939-3379

According to our database1, Nati Daniel authored at least 13 papers between 2021 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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Bibliography

2024
Semantic Segmentation Refiner for Ultrasound Applications with Zero-Shot Foundation Models.
CoRR, 2024

2023
Facial Expression Re-targeting from a Single Character.
CoRR, 2023

DEPAS: De-novo Pathology Semantic Masks using a Generative Model.
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

Crowd Source Scene Change Detection and Local Map Update.
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

Cumulative Evidence for Scene Change Detection and Local Map Updates.
Proceedings of the IEEE International Conference on Artificial Intelligence and Virtual Reality, 2022

2021
INIM: Inertial Images Construction with Applications to Activity Recognition.
Sensors, 2021

Smartphone Location Recognition with Unknown Modes in Deep Feature Space.
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


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