output
20142025
most citedImaging the dynamics of cardiac fiber orientation in vivo using 3D Ultrasound Backscatter Tensor Imaging

85 citations

14 papers

cs.LG2025

Toward Valid Generative Clinical Trial Data with Survival Endpoints

Perrine Chassat, Van Tuan Nguyen, Lucas Ducrot +2

Clinical trials face mounting challenges: fragmented patient populations, slow enrollment, and unsustainable costs, particularly for late phase trials in oncology and rare diseases…

stat.ME2025

Calibrating confounding strength in sensitivity models for weighting estimators: a comparative review and a new method

Jean-Baptiste Baitairian, Bernard Sebastien, Rana Jreich +2

Causal inference is only valid when its underlying assumptions are satisfied, one of the most central being the ignorability or unconfoundedness assumption. However, this hypothesi…

q-bio.NC2024★ 3 cited

Nap-induced modulations of tinnitus -a cross-sectional database analysis

Robin Guillard, Martin Schecklmann, Jorge Simoes +8

The influence of naps on tinnitus was systematically assessed by exploring the frequency, clinical and demographic characteristics of this phenomenon. 9,724 data from two different…

eess.IV2024★ 5 cited

ONCOPILOT: A Promptable CT Foundation Model For Solid Tumor Evaluation

Léo Machado, Hélène Philippe, Élodie Ferreres +12

Carcinogenesis is a proteiform phenomenon, with tumors emerging in various locations and displaying complex, diverse shapes. At the crucial intersection of research and clinical pr…

cs.HC2023

ABiMed: An intelligent and visual clinical decision support system for medication reviews and polypharmacy management

Abdelmalek Mouazer, Romain Léguillon, Nada Boudegzdame +14

Background: Polypharmacy, i.e. taking five drugs or more, is both a public health and an economic issue. Medication reviews are structured interviews of the patient by the communit…

eess.IV2023★ 7 cited

Methodology for Jointly Assessing Myocardial Infarct Extent and Regional Contraction in 3-D CMRI

Y. Chenoune, C. Pellot-Barakat, C. Constantinides +5

Automated extraction of quantitative parameters from Cardiac Magnetic Resonance Images (CMRI) is crucial for the management of patients with myocardial infarct. This work proposes…

physics.med-ph2023★ 85 cited

Imaging the dynamics of cardiac fiber orientation in vivo using 3D Ultrasound Backscatter Tensor Imaging

Clement Papadacci, Victor Finel, Jean Provost +6

The assessment of myocardial fiber disarray is of major interest for the study of the progression of myocardial disease. However, time-resolved imaging of the myocardial structure…

eess.IV2021★ 2 cited

Combining Bayesian and Deep Learning Methods for the Delineation of the Fan in Ultrasound Images

Hind Dadoun, Hervé Delingette, Anne-Laure Rousseau +2

Ultrasound (US) images usually contain identifying information outside the ultrasound fan area and manual annotations placed by the sonographers during exams. For those images to b…

cs.CV2020★ 17 cited

AI-Driven CT-based quantification, staging and short-term outcome prediction of COVID-19 pneumonia

Guillaume Chassagnon, Maria Vakalopoulou, Enzo Battistella +28

Chest computed tomography (CT) is widely used for the management of Coronavirus disease 2019 (COVID-19) pneumonia because of its availability and rapidity. The standard of referenc…

cs.LG2020

Gaussian Graphical Model exploration and selection in high dimension low sample size setting

Thomas Lartigue, Simona Bottani, Stephanie Baron +3

Gaussian Graphical Models (GGM) are often used to describe the conditional correlations between the components of a random vector. In this article, we compare two families of GGM i…

physics.med-ph2019★ 1 cited

Non-invasive Evaluation of Aortic Stiffness Dependence with Aortic Blood Pressure and Internal Radius by Shear Wave Elastography and Ultrafast Imaging

Clement Papadacci, T. Mirault, B. Dizier +3

Elastic properties of arteries have long been recognized as playing a major role in the cardiovascular system. However, non-invasive in vivo assessment of local arterial stiffness…

stat.ML2018★ 1 cited

Comparison of methods for early-readmission prediction in a high-dimensional heterogeneous covariates and time-to-event outcome framework

Simon Bussy, Raphaël Veil, Vincent Looten +5

Background: Choosing the most performing method in terms of outcome prediction or variables selection is a recurring problem in prognosis studies, leading to many publications on m…

stat.ML2016★ 1 cited

C-mix: a high dimensional mixture model for censored durations, with applications to genetic data

Simon Bussy, Agathe Guilloux, Stéphane Gaïffas +1

We introduce a mixture model for censored durations (C-mix), and develop maximum likelihood inference for the joint estimation of the time distributions and latent regression param…

stat.ME2014

Laplace deconvolution on the basis of time domain data and its application to Dynamic Contrast Enhanced imaging

Fabienne Comte, Charles-A. Cuenod, Marianna Pensky +1

In the present paper we consider the problem of Laplace deconvolution with noisy discrete non-equally spaced observations on a finite time interval. We propose a new method for Lap…