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)

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)

Smartphone Location Recognition with Unknown Modes in Deep Feature Space. - Nati Daniel; Felix Goldberg; Itzik Klein (Sensors, 2021)

INIM: Inertial Images Construction with Applications to Activity Recognition. - Nati Daniel; Itzik Klein (Sensors, 2021)

Cumulative Evidence for Scene Change Detection and Local Map Updates. - Itzik Wilf; Nati Daniel; Manqing Lin; Shama Firas; Omri Asraf; Wensen Feng; Ofer Kruzel (AIVR, 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 (EMBC, 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)

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)

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 (CIBCB, 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 (EMBC, 2023)

DEPAS: De-novo Pathology Semantic Masks using a Generative Model. - Ariel Larey; Nati Daniel; Eliel Aknin; Yael Fisher; Yonatan Savir (EMBC, 2023)

Facial Expression Re-targeting from a Single Character. - Ariel Larey; Omri Asraf; Adam Kelder; Itzik Wilf; Ofer Kruzel; Nati Daniel (CoRR, 2023)

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 (EMBC, 2024)

PriorPath: Coarse-To-Fine Approach for Controlled De-Novo Pathology Semantic Masks Generation. - Nati Daniel; May Nathan; Eden Azeroual; Yael Fisher; Yonatan Savir (CoRR, 2024)

CSG: A Context-Semantic Guided Diffusion Approach in De Novo Musculoskeletal Ultrasound Image Generation. - Elay Dahan; Hedda Cohen Indelman; Angeles M. Perez-Agosto; Carmit Shiran; Gopal Avinash; Doron Shaked; Nati Daniel (CoRR, 2024)