Ariel Larey

According to our database, Ariel Larey authored at least 11 papers between 2020 and 2024.

Collaborative distances:

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

2024

A Multi-Modal Approach for Face Anti-Spoofing in Non-Calibrated Systems using Disparity Maps.

Ariel Larey, Eyal Rond, Omer Achrack

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

Harnessing Digital Pathology And Causal Learning To Improve Eosinophilic Esophagitis Dietary Treatment Assignment.

Eliel Aknin, Ariel Larey, Julie M. Caldwell, Margaret H. Collins, Juan P. Abonia, Seema S. Aceves, Nicoleta C. Arva, Mirna Chehade, Evan S. Dellon, Nirmala Gonsalves, Sandeep K. Gupta, John Leung, Kathryn A. Peterson, Tetsuo Shoda, Jonathan M. Spergel, Marc E. Rothenberg, Yonatan Savir

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

Harnessing Digital Pathology And Causal Learning To Improve Eosinophilic Esophagitis Dietary Treatment Assignment.

Eliel Aknin, Ariel Larey, Julie M. Caldwell, Margaret H. Collins, Marc E. Rothenberg, 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

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

2021

Prune Once for All: Sparse Pre-Trained Language Models.

Ofir Zafrir, Ariel Larey, Guy Boudoukh, Haihao Shen, Moshe Wasserblat

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

2020

Multiple Inertial Measurement Units-An Empirical Study.

Ariel Larey, Eliel Aknin, Itzik Klein

IEEE Access, 2020