output
20072024
most citedNeural correlates of episodic memory in the Memento cohort

38 citations

7 papers

cs.CV2024★ 9 cited

Surgical Text-to-Image Generation

Chinedu Innocent Nwoye, Rupak Bose, Kareem Elgohary +5

Acquiring surgical data for research and development is significantly hindered by high annotation costs and practical and ethical constraints. Utilizing synthetically generated ima…

cs.CV2023★ 23 cited

Preserving Privacy in Surgical Video Analysis Using Artificial Intelligence: A Deep Learning Classifier to Identify Out-of-Body Scenes in Endoscopic Videos

Joël L. Lavanchy, Armine Vardazaryan, Pietro Mascagni +3

Objective: To develop and validate a deep learning model for the identification of out-of-body images in endoscopic videos. Background: Surgical video analysis facilitates educatio…

eess.IV2022

CNN-based real-time 2D-3D deformable registration from a single X-ray projection

François Lecomte, Jean-Louis Dillenseger, Stéphane Cotin

Purpose: The purpose of this paper is to present a method for real-time 2D-3D non-rigid registration using a single fluoroscopic image. Such a method can find applications in surge…

q-bio.NC2018★ 38 cited

Neural correlates of episodic memory in the Memento cohort

Stéphane Epelbaum, Vincent Bouteloup, Jean Mangin +22

IntroductionThe free and cued selective reminding test is used to identify memory deficits in mild cognitive impairment and demented patients. It allows assessing three processes:…

stat.ME2018★ 4 cited

selectBoost: a general algorithm to enhance the performance of variable selection methods in correlated datasets

Ismaïl Aouadi, Nicolas Jung, Raphael Carapito +4

Motivation: With the growth of big data, variable selection has become one of the major challenges in statistics. Although many methods have been proposed in the literature their p…

stat.CO2015★ 4 cited

AcSel: selecting variables with accuracy in correlated datasets

Jung Nicolas, Frédéric Bertrand, Myriam Maumy-Bertrand

With the emergence of high-throughput technologies, it is possible to measure large amounts of data relatively at low cost. Such situations arise in many fields from sciences to hu…