Multiple Inertial Measurement Units-An Empirical Study. - Ariel Larey; Eliel Aknin; Itzik Klein (IEEE Access, 2020)

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)

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)

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)

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 (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)

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 004; John Leung; et al. (CoRR, 2023)