activity
20212024
most citedPECNet: A Deep Multi-Label Segmentation Network for Eosinophilic Esophagitis Biopsy Diagnostics

1 citations · 5 across the 8 of their papers we have counts for

collaborators

8 papers

eess.IV2024

PriorPath: Coarse-To-Fine Approach for Controlled De-Novo Pathology Semantic Masks Generation

Nati Daniel, May Nathan, Eden Azeroual +2

Incorporating artificial intelligence (AI) into digital pathology offers promising prospects for automating and enhancing tasks such as image analysis and diagnostic processes. How…

cs.GR2023★ 1 cited

Facial Expression Re-targeting from a Single Character

Ariel Larey, Omri Asraf, Adam Kelder +3

Video retargeting for digital face animation is used in virtual reality, social media, gaming, movies, and video conference, aiming to animate avatars' facial expressions based on…

eess.IV2023★ 1 cited

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 +4

Artificial intelligence and machine learning techniques have the promise to revolutionize the field of digital pathology. However, these models demand considerable amounts of data,…

eess.IV2023

DEPAS: De-novo Pathology Semantic Masks using a Generative Model

Ariel Larey, Nati Daniel, Eliel Aknin +2

The integration of artificial intelligence into digital pathology has the potential to automate and improve various tasks, such as image analysis and diagnostic decision-making. Ye…

cs.AI2022★ 1 cited

Harnessing Artificial Intelligence to Infer Novel Spatial Biomarkers for the Diagnosis of Eosinophilic Esophagitis

Ariel Larey, Eliel Aknin, Nati Daniel +9

Eosinophilic esophagitis (EoE) is a chronic allergic inflammatory condition of the esophagus associated with elevated esophageal eosinophils. Second only to gastroesophageal reflux…

cs.CV2022★ 1 cited

Crowd Source Scene Change Detection and Local Map Update

Itzik Wilf, Nati Daniel, Lin Manqing +4

As scene changes with time map descriptors become outdated, affecting VPS localization accuracy. In this work, we propose an approach to detect structural and texture scene changes…

cs.CV2021★ 1 cited

PECNet: A Deep Multi-Label Segmentation Network for Eosinophilic Esophagitis Biopsy Diagnostics

Nati Daniel, Ariel Larey, Eliel Aknin +9

Background. Eosinophilic esophagitis (EoE) is an allergic inflammatory condition of the esophagus associated with elevated numbers of eosinophils. Disease diagnosis and monitoring…

cs.CV2021

Machine learning approach for biopsy-based identification of eosinophilic esophagitis reveals importance of global features

Tomer Czyzewski, Nati Daniel, Mark Rochman +5

Goal: Eosinophilic esophagitis (EoE) is an allergic inflammatory condition characterized by eosinophil accumulation in the esophageal mucosa. EoE diagnosis includes a manual assess…