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Nati Daniel
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2020 – today
- 2024
- [i8]Hedda Cohen Indelman, Elay Dahan, Angeles M. Perez-Agosto, Carmit Shiran, Doron Shaked, Nati Daniel:
Semantic Segmentation Refiner for Ultrasound Applications with Zero-Shot Foundation Models. CoRR abs/2404.16325 (2024) - 2023
- [c5]Nati Daniel, Tanya Wasserman, Zohar Adler, Tomer Czyzewski, Yonatan Savir:
Machine Learning Reveals The Effect of Maternal Age on The Mouse Pre-Implantation Embryo Morphokinetics. CIBCB 2023: 1-8 - [c4]Nati Daniel, Eliel Aknin, Ariel Larey, Yoni Peretz, Guy Sela, Yael Fisher, Yonatan Savir:
Between Generating Noise and Generating Images: Noise in the Correct Frequency Improves the Quality of Synthetic Histopathology Images for Digital Pathology. EMBC 2023: 1-7 - [c3]Ariel Larey, Nati Daniel, Eliel Aknin, Yael Fisher, Yonatan Savir:
DEPAS: De-novo Pathology Semantic Masks using a Generative Model. EMBC 2023: 1-7 - [i7]Ariel Larey, Nati Daniel, Eliel Aknin, Yael Fisher, Yonatan Savir:
DEPAS: De-novo Pathology Semantic Masks using a Generative Model. CoRR abs/2302.06513 (2023) - [i6]Nati Daniel, Eliel Aknin, Ariel Larey, Yoni Peretz, Guy Sela, Yael Fisher, Yonatan Savir:
Between Generating Noise and Generating Images: Noise in the Correct Frequency Improves the Quality of Synthetic Histopathology Images for Digital Pathology. CoRR abs/2302.06549 (2023) - [i5]Ariel Larey, Omri Asraf, Adam Kelder, Itzik Wilf, Ofer Kruzel, Nati Daniel:
Facial Expression Re-targeting from a Single Character. CoRR abs/2306.12188 (2023) - 2022
- [c2]Itzik Wilf, Nati Daniel, Manqing Lin, Shama Firas, Omri Asraf, Wensen Feng, Ofer Kruzel:
Cumulative Evidence for Scene Change Detection and Local Map Updates. AIVR 2022: 55-63 - [c1]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:
A Deep Multi-Label Segmentation Network For Eosinophilic Esophagitis Whole Slide Biopsy Diagnostics. EMBC 2022: 3211-3217 - [i4]Itzik Wilf, Nati Daniel, Manqing Lin, Shama Firas, Omri Asraf, Wensen Feng, Ofer Kruzel:
Crowd Source Scene Change Detection and Local Map Update. CoRR abs/2203.05205 (2022) - [i3]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:
Harnessing Artificial Intelligence to Infer Novel Spatial Biomarkers for the Diagnosis of Eosinophilic Esophagitis. CoRR abs/2205.13583 (2022) - 2021
- [j2]Nati Daniel, Itzik Klein:
INIM: Inertial Images Construction with Applications to Activity Recognition. Sensors 21(14): 4787 (2021) - [j1]Nati Daniel, Felix Goldberg, Itzik Klein:
Smartphone Location Recognition with Unknown Modes in Deep Feature Space. Sensors 21(14): 4807 (2021) - [i2]Tomer Czyzewski, Nati Daniel, Mark Rochman, Julie M. Caldwell, Garrett A. Osswald, Margaret H. Collins, Marc E. Rothenberg, Yonatan Savir:
Machine learning approach for biopsy-based identification of eosinophilic esophagitis reveals importance of global features. CoRR abs/2101.04989 (2021) - [i1]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:
PECNet: A Deep Multi-Label Segmentation Network for Eosinophilic Esophagitis Biopsy Diagnostics. CoRR abs/2103.02015 (2021)
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last updated on 2024-06-04 21:30 CEST by the dblp team
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