Approche multi-axes basée deep learning pour la segmentation 3D du diaphragme

Authors

Institutions

Publication Details

Journal
SPIRE - Sciences Po Institutional REpository
Published
2026-03-09
Primary Topic
COVID-19 diagnosis using AI
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Approche multi-axes basée deep learning pour la segmentation 3D du diaphragme

Mohammed Haddad, B. Shariat, Hamid Ladjal, Mohamed Benkhettou
SPIRE - Sciences Po Institutional REpository
COVID-19 diagnosis using AI
article

Approche multi-axes basée deep learning pour la segmentation 3D du diaphragme

Mohammed Haddad, B. Shariat, Hamid Ladjal, Mohamed Benkhettou
article en

Abstract

No abstract available for this paper.
SPIRE - Sciences Po Institutional REpository
LabEx PERSYVAL-Lab (FR)
Openalex Percentile: Top 78%
COVID-19 diagnosis using AI
OpenAlex
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Approche multi-axes basée deep learning pour la segmentation 3D du diaphragme — Mohammed Haddad, B. Shariat, et al. · SPIRE - Sciences Po Institutional REpository (2026) | TGRS Research Map | TGRS