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Nati Daniel

Showing results (1-10 of 10) with videos related to

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Sensors (Basel, Switzerland)|July 24, 2021
INIM: Inertial Images Construction with Applications to Activity RecognitionNati Daniel, Itzik Klein
Sensors (Basel, Switzerland)|July 24, 2021
Smartphone Location Recognition with Unknown Modes in Deep Feature SpaceNati Daniel, Felix Goldberg, Itzik Klein
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|December 12, 2023
DEPAS: De-novo Pathology Semantic Masks using a Generative ModelAriel Larey, Nati Daniel, Eliel Aknin, et al.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|December 3, 2025
PriorPath: Coarse-To-Fine Approach for Controlled De-Novo Pathology Semantic Masks GenerationNati Daniel, May Nathan, Eden Azeroual, et al.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|December 12, 2023
Between Generating Noise and Generating Images: Noise in the Correct Frequency Improves the Quality of Synthetic Histopathology Images for Digital PathologyNati Daniel, Eliel Aknin, Ariel Larey, et al.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|March 5, 2025
Semantic Segmentation Refiner for Ultrasound Applications with Zero-Shot Foundation ModelsHedda Cohen Indelman, Elay Dahan, Angeles M Perez-Agosto, et al.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|December 3, 2025
CSG: A Context-Semantic Guided Diffusion Approach in De Novo Musculoskeletal Ultrasound Image GenerationElay Dahan, Hedda Cohen Indelman, Angeles M Perez-Agosto, et al.
IEEE Open Journal of Engineering in Medicine and Biology|September 10, 2021
Machine Learning Approach for Biopsy-Based Identification of Eosinophilic Esophagitis Reveals Importance of Global featuresTomer Czyzewski, Nati Daniel, Mark Rochman, et al.
Frontiers in Medicine|November 7, 2022
Harnessing artificial intelligence to infer novel spatial biomarkers for the diagnosis of eosinophilic esophagitisAriel Larey, Eliel Aknin, Nati Daniel, et al.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|September 10, 2022
A Deep Multi-Label Segmentation Network For Eosinophilic Esophagitis Whole Slide Biopsy DiagnosticsNati Daniel, Ariel Larey, Eliel Aknin, et al.
Pageof 1

Showing results (1-10 of 10) with videos related to

Sort By:
Pageof 1
Sensors (Basel, Switzerland)|July 24, 2021
INIM: Inertial Images Construction with Applications to Activity RecognitionNati Daniel, Itzik Klein
Sensors (Basel, Switzerland)|July 24, 2021
Smartphone Location Recognition with Unknown Modes in Deep Feature SpaceNati Daniel, Felix Goldberg, Itzik Klein
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|December 12, 2023
DEPAS: De-novo Pathology Semantic Masks using a Generative ModelAriel Larey, Nati Daniel, Eliel Aknin, et al.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|December 3, 2025
PriorPath: Coarse-To-Fine Approach for Controlled De-Novo Pathology Semantic Masks GenerationNati Daniel, May Nathan, Eden Azeroual, et al.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|December 12, 2023
Between Generating Noise and Generating Images: Noise in the Correct Frequency Improves the Quality of Synthetic Histopathology Images for Digital PathologyNati Daniel, Eliel Aknin, Ariel Larey, et al.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|March 5, 2025
Semantic Segmentation Refiner for Ultrasound Applications with Zero-Shot Foundation ModelsHedda Cohen Indelman, Elay Dahan, Angeles M Perez-Agosto, et al.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|December 3, 2025
CSG: A Context-Semantic Guided Diffusion Approach in De Novo Musculoskeletal Ultrasound Image GenerationElay Dahan, Hedda Cohen Indelman, Angeles M Perez-Agosto, et al.
IEEE Open Journal of Engineering in Medicine and Biology|September 10, 2021
Machine Learning Approach for Biopsy-Based Identification of Eosinophilic Esophagitis Reveals Importance of Global featuresTomer Czyzewski, Nati Daniel, Mark Rochman, et al.
Frontiers in Medicine|November 7, 2022
Harnessing artificial intelligence to infer novel spatial biomarkers for the diagnosis of eosinophilic esophagitisAriel Larey, Eliel Aknin, Nati Daniel, et al.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|September 10, 2022
A Deep Multi-Label Segmentation Network For Eosinophilic Esophagitis Whole Slide Biopsy DiagnosticsNati Daniel, Ariel Larey, Eliel Aknin, et al.
Pageof 1