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Liran Tiosano

Showing results (41-50 of 47) with videos related to

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NPJ Digital Medicine|March 9, 2021
Automated identification of clinical features from sparsely annotated 3-dimensional medical imagingNadav Rakocz, Jeffrey N Chiang, Muneeswar G Nittala, et al.
BMJ Open Ophthalmology|May 21, 2020
Ophthalmology practice during the COVID-19 pandemicKhaled Safadi, Joshua M Kruger, Itay Chowers, et al.
Graefe'S Archive for Clinical and Experimental Ophthalmology = Albrecht Von Graefes Archiv Fur Klinische Und Experimentelle Ophthalmologie|May 9, 2026
A deep learning model for automated identification of age-related macular degeneration atrophyOren Avram, Yahel Shwartz, Adi Green, et al.
Research Square|December 4, 2023
SLIViT: a general AI framework for clinical-feature diagnosis from limited 3D biomedical-imaging dataOren Avram, Berkin Durmus, Nadav Rakocz, et al.
Nature Biomedical Engineering|October 1, 2024
Accurate prediction of disease-risk factors from volumetric medical scans by a deep vision model pre-trained with 2D scansOren Avram, Berkin Durmus, Nadav Rakocz, et al.
Medrxiv : the Preprint Server for Health Sciences|October 14, 2024
Genetic Risk of Reticular Pseudodrusen in Age-Related Macular Degeneration: <i>HTRA1</i> /lncRNA <i>BX842242.1</i> dominates, with no evidence for Complement Cascade involvementSamaneh Farashi, Carla J Abbott, Brendan Re Ansell, et al.
Nature Communications|December 8, 2025
HTRA1/lncRNA HTRA1-AS1 dominates in age-related macular degeneration reticular pseudodrusen genetic risk with no complement involvementSamaneh Farashi, Carla J Abbott, Brendan R E Ansell, et al.
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Showing results (41-50 of 47) with videos related to

Sort By:
Pageof 5
You have reached the last page of results.This site can display upto 47 results.
NPJ Digital Medicine|March 9, 2021
Automated identification of clinical features from sparsely annotated 3-dimensional medical imagingNadav Rakocz, Jeffrey N Chiang, Muneeswar G Nittala, et al.
BMJ Open Ophthalmology|May 21, 2020
Ophthalmology practice during the COVID-19 pandemicKhaled Safadi, Joshua M Kruger, Itay Chowers, et al.
Graefe'S Archive for Clinical and Experimental Ophthalmology = Albrecht Von Graefes Archiv Fur Klinische Und Experimentelle Ophthalmologie|May 9, 2026
A deep learning model for automated identification of age-related macular degeneration atrophyOren Avram, Yahel Shwartz, Adi Green, et al.
Research Square|December 4, 2023
SLIViT: a general AI framework for clinical-feature diagnosis from limited 3D biomedical-imaging dataOren Avram, Berkin Durmus, Nadav Rakocz, et al.
Nature Biomedical Engineering|October 1, 2024
Accurate prediction of disease-risk factors from volumetric medical scans by a deep vision model pre-trained with 2D scansOren Avram, Berkin Durmus, Nadav Rakocz, et al.
Medrxiv : the Preprint Server for Health Sciences|October 14, 2024
Genetic Risk of Reticular Pseudodrusen in Age-Related Macular Degeneration: <i>HTRA1</i> /lncRNA <i>BX842242.1</i> dominates, with no evidence for Complement Cascade involvementSamaneh Farashi, Carla J Abbott, Brendan Re Ansell, et al.
Nature Communications|December 8, 2025
HTRA1/lncRNA HTRA1-AS1 dominates in age-related macular degeneration reticular pseudodrusen genetic risk with no complement involvementSamaneh Farashi, Carla J Abbott, Brendan R E Ansell, et al.
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