output
20192025
most citedQU-BraTS: MICCAI BraTS 2020 Challenge on Quantifying Uncertainty in Brain Tumor Segmentation - Analysis of Ranking Scores and Benchmarking Results

58 citations

9 papers

cs.LG2025

Learning a Distance for the Clustering of Patients with Amyotrophic Lateral Sclerosis

Guillaume Tejedor, Veronika Peralta, Nicolas Labroche +3

Amyotrophic lateral sclerosis (ALS) is a severe disease with a typical survival of 3-5 years after symptom onset. Current treatments offer only limited life extension, and the vari…

eess.IV2025★ 10 cited

Real-Time Brain Tumor Detection in Intraoperative Ultrasound Using YOLO11: From Model Training to Deployment in the Operating Room

Santiago Cepeda, Olga Esteban-Sinovas, Roberto Romero +13

Intraoperative ultrasound (ioUS) is a valuable tool in brain tumor surgery due to its versatility, affordability, and seamless integration into the surgical workflow. However, its…

stat.AP2024★ 1 cited

Straightforward Phase I Dose-Finding Design for Healthy Volunteers Accounting for Surrogate Activity Biomarkers

Sandrine Boulet, Emmanuelle Comets, Antoine Guillon +5

Conventionally, a first-in-human phase I trial in healthy volunteers aims to confirm the safety of a drug in humans. In such situations, volunteers should not suffer from any safet…

eess.IV2024★ 21 cited

A Robust Ensemble Algorithm for Ischemic Stroke Lesion Segmentation: Generalizability and Clinical Utility Beyond the ISLES Challenge

Ezequiel de la Rosa, Mauricio Reyes, Sook-Lei Liew +55

Diffusion-weighted MRI (DWI) is essential for stroke diagnosis, treatment decisions, and prognosis. However, image and disease variability hinder the development of generalizable A…

q-bio.NC2022★ 22 cited

Isolated parkinsonism is an atypical presentation of GRN and C9orf72 gene mutations

Fábio Carneiro, Dario Saracino, Vincent Huin +17

Introduction: A phenotype of isolated parkinsonism mimicking Idiopathic Parkinson's Disease (IPD) is a rare clinical presentation of GRN and C9orf72 mutations, the major genetic ca…

eess.IV2021★ 58 cited

QU-BraTS: MICCAI BraTS 2020 Challenge on Quantifying Uncertainty in Brain Tumor Segmentation - Analysis of Ranking Scores and Benchmarking Results

Raghav Mehta, Angelos Filos, Ujjwal Baid +89

Deep learning (DL) models have provided state-of-the-art performance in various medical imaging benchmarking challenges, including the Brain Tumor Segmentation (BraTS) challenges.…

stat.ME2021★ 18 cited

Modeling repeated self-reported outcome data: a continuous-time longitudinal Item Response Theory model

Cécile Proust-Lima, Viviane Philipps, Bastien Perrot +2

Item Response Theory (IRT) models have received growing interest in health science for analyzing latent constructs such as depression, anxiety, quality of life, or cognitive functi…

cond-mat.mtrl-sci2020★ 2 cited

Interface combinatorial pulsed laser deposition to enhance heterostructures functional properties

Jerome Wolfman, Beatrice Negulescu, Antoine Ruyter +2

In this chapter we will describe a new development of combinatorial pulsed laser deposition (CPLD) which targets the exploration of interface libraries. The idea is to modulate con…

q-bio.QM2019★ 1 cited

Positive HBs antigen in the absence of hepatitis B virus infection

José Bras Cachinho, Maud François, Karl Stefic +1

French recommendations for the screening of hepatitis B virus (HBV) infection were updated in 2019 with the association of three markers: HBs Ag, anti-HBs Ab and anti-HBc Ab. These…