Latent maximum-a-posteriori approach to improve pseudo-healthy reconstruction quality

Authors

Institutions

Publication Details

Published
2026-06-14
Primary Topic
Reconstructive Surgery and Microvascular Techniques
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Latent maximum-a-posteriori approach to improve pseudo-healthy reconstruction quality

Stéphanie Allassonnière, Agathe Senellart, Ninon Burgos, Maëlys Solal
Reconstructive Surgery and Microvascular Techniques
article

Latent maximum-a-posteriori approach to improve pseudo-healthy reconstruction quality

Stéphanie Allassonnière, Agathe Senellart, Ninon Burgos, Maëlys Solal
article en

Abstract

No abstract available for this paper.
Inserm (FR), Université Paris Cité (FR), Sorbonne Paris Cité (FR), Institut du Cerveau (FR), Organisation Mondiale de la Santé Animale (FR)
Partnerships for the goals
Openalex Percentile: Top 60%
Reconstructive Surgery and Microvascular Techniques
Open Access PDFOpenAlex
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.

Latent maximum-a-posteriori approach to improve pseudo-healthy reconstruction quality — Stéphanie Allassonnière, Agathe Senellart, et al. · (2026) | TGRS Research Map | TGRS