Nati Daniel

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

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

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

Hedda Cohen Indelman, Elay Dahan, Angeles M. Perez-Agosto, Carmit Shiran, Doron Shaked, Nati Daniel

CoRR, 2024

2023

Facial Expression Re-targeting from a Single Character.

Ariel Larey, Omri Asraf, Adam Kelder, Itzik Wilf, Ofer Kruzel, Nati Daniel

CoRR, 2023

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

Ariel Larey, Nati Daniel, Eliel Aknin, Yael Fisher, Yonatan Savir

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.

Nati Daniel, Eliel Aknin, Ariel Larey, Yoni Peretz, Guy Sela, Yael Fisher, Yonatan Savir

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.

Nati Daniel, Tanya Wasserman, Zohar Adler, Tomer Czyzewski, Yonatan Savir

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.

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

Crowd Source Scene Change Detection and Local Map Update.

Itzik Wilf, Nati Daniel, Manqing Lin, Shama Firas, Omri Asraf, Wensen Feng, Ofer Kruzel

CoRR, 2022

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

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.

Itzik Wilf, Nati Daniel, Manqing Lin, Shama Firas, Omri Asraf, Wensen Feng, Ofer Kruzel

Proceedings of the IEEE International Conference on Artificial Intelligence and Virtual Reality, 2022

2021

INIM: Inertial Images Construction with Applications to Activity Recognition.

Nati Daniel, Itzik Klein

Sensors, 2021

Smartphone Location Recognition with Unknown Modes in Deep Feature Space.

Nati Daniel, Felix Goldberg, Itzik Klein

Sensors, 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

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