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researcher

J. Lapuyade-Lahorgue

10 papers hereh-index 12763 citations45 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • sole author2
  • middle author7

Across the 9 of 10 papers where every author was matched, so the position is known.

fields
  • eess.IV5
  • cs.CV3
  • math.GN1
  • math.GR1

identity via Semantic Scholar / OpenAlex

activity
20182025
most citedDeep Learning Approaches for Data Augmentation in Medical Imaging: A Review

277 citations · 315 across the 9 of their papers we have counts for

collaborators
Showing cs.CVShow all

3 papers · 1 filter

cs.CV2025

Multi-Task Diffusion Approach For Prediction of Glioma Tumor Progression

Aghiles Kebaili, Romain Modzelewski, Jérôme Lapuyade-Lahorgue +3

Glioma, an aggressive brain malignancy characterized by rapid progression and its poor prognosis, poses significant challenges for accurate evolution prediction. These challenges a…

cs.CV2025

AMM-Diff: Adaptive Multi-Modality Diffusion Network for Missing Modality Imputation

Aghiles Kebaili, Jérôme Lapuyade-Lahorgue, Pierre Vera +1

In clinical practice, full imaging is not always feasible, often due to complex acquisition protocols, stringent privacy regulations, or specific clinical needs. However, missing M…

cs.CV2021★ 1 cited

Deep learning using Havrda-Charvat entropy for classification of pulmonary endomicroscopy

Thibaud Brochet, Jerome Lapuyade-Lahorgue, Sebastien Bougleux +2

Pulmonary optical endomicroscopy (POE) is an imaging technology in real time. It allows to examine pulmonary alveoli at a microscopic level. Acquired in clinical settings, a POE im…

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