Adrien Depeursinge
Overview
Explore the profile of Adrien Depeursinge including associated specialties, affiliations and a list of published articles.
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Articles
63
Citations
2121
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Recent Articles
1.
Tartari C, Poroes F, Schmidt S, Abler D, Vetterli T, Depeursinge A, et al.
Eur J Radiol Open
. 2025 Feb;
14:100636.
PMID: 39967811
Purpose: To evaluate the single and combined diagnostic performances of CT and MRI radiomics for diagnosis of acute pancreatitis (AP). Materials And Methods: We prospectively enrolled 78 patients (mean age...
2.
Andrearczyk V, Schiappacasse L, Raccaud M, Bourhis J, Prior J, Cuendet M, et al.
Neurooncol Adv
. 2025 Feb;
7(1):vdae216.
PMID: 39896076
Background: Effective follow-up of brain metastasis (BM) patients post-treatment is crucial for adapting therapies and detecting new lesions. Current guidelines (Response Assessment in Neuro-Oncology-BM) have limitations, such as patient-level assessments...
3.
Li J, Zhou Z, Yang J, Pepe A, Gsaxner C, Luijten G, et al.
Biomed Tech (Berl)
. 2024 Dec;
70(1):71-90.
PMID: 39733351
Objectives: The shape is commonly used to describe the objects. State-of-the-art algorithms in medical imaging are predominantly diverging from computer vision, where voxel grids, meshes, point clouds, and implicit surface...
4.
Molchanova N, Raina V, Malinin A, La Rosa F, Depeursinge A, Gales M, et al.
Comput Biol Med
. 2024 Nov;
184:109336.
PMID: 39546878
This paper explores uncertainty quantification (UQ) as an indicator of the trustworthiness of automated deep-learning (DL) tools in the context of white matter lesion (WML) segmentation from magnetic resonance imaging...
5.
Bors S, Abler D, Dietz M, Andrearczyk V, Fageot J, Nicod-Lalonde M, et al.
Sci Rep
. 2024 Apr;
14(1):9644.
PMID: 38671059
Assessing the individual risk of Major Adverse Cardiac Events (MACE) is of major importance as cardiovascular diseases remain the leading cause of death worldwide. Quantitative Myocardial Perfusion Imaging (MPI) parameters...
6.
Whybra P, Zwanenburg A, Andrearczyk V, Schaer R, Apte A, Ayotte A, et al.
Radiology
. 2024 Feb;
310(2):e231319.
PMID: 38319168
Filters are commonly used to enhance specific structures and patterns in images, such as vessels or peritumoral regions, to enable clinical insights beyond the visible image using radiomics. However, their...
7.
Andrearczyk V, Oreiller V, Boughdad S, Rest C, Tankyevych O, Elhalawani H, et al.
Med Image Anal
. 2023 Sep;
90:102972.
PMID: 37742374
By focusing on metabolic and morphological tissue properties respectively, FluoroDeoxyGlucose (FDG)-Positron Emission Tomography (PET) and Computed Tomography (CT) modalities include complementary and synergistic information for cancerous lesion delineation and characterization...
8.
Spagnolo F, Depeursinge A, Schadelin S, Akbulut A, Muller H, Barakovic M, et al.
Neuroimage Clin
. 2023 Sep;
39:103491.
PMID: 37659189
Introduction: Over the past few years, the deep learning community has developed and validated a plethora of tools for lesion detection and segmentation in Multiple Sclerosis (MS). However, there is...
9.
Andrearczyk V, Oreiller V, Abobakr M, Akhavanallaf A, Balermpas P, Boughdad S, et al.
Head Neck Tumor Chall (2022)
. 2023 May;
13626:1-30.
PMID: 37195050
This paper presents an overview of the third edition of the HEad and neCK TumOR segmentation and outcome prediction (HECKTOR) challenge, organized as a satellite event of the 25th International...
10.
Abler D, Schaer R, Oreiller V, Verma H, Reichenbach J, Aidonopoulos O, et al.
Eur Radiol Exp
. 2023 Mar;
7(1):16.
PMID: 36947346
Background: Radiomics, the field of image-based computational medical biomarker research, has experienced rapid growth over the past decade due to its potential to revolutionize the development of personalized decision support...