Binbin XU

Associate Professor: biomedical data analysis

Institut Mines-Télécom

France

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About

Dr. Binbin Xu is an Associate Professor at Institut Mines-Télécom Mines Alès in France. His research focuses on biomedical data analysis, with recent publications addressing topics such as the evaluation of pedestrian crossing safety using convolutional neural networks, the prediction of treatment responses in metastatic prostate cancer via machine learning, and the use of EEG signals for diagnosing neurodegenerative diseases. He is also involved in exploring the relationship between brain movement and functional movements in post-stroke patients.

Articles (13)

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2025

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2025

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2025

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2024

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2024

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2023

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2023

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2023

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2021

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2021

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2021

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2021

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2020

Collaborators (4)

Camille O Muller

Associate Professor

Université de Toulouse

FRANCE

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Gerard Dray

Professeur

IMT Mines Alès

FRANCE

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Lehel Dénes-Fazakas

Assistant professor

Óbuda University

HUNGARY

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Walid Maalej

Professor / Head of Group "Applied Software Technology"

University of Hamburg

GERMANY

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Binbin XU

Research Interests

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Articles (13)

GUing: A Mobile GUI Search Engine using a Vision-Language Model

Evaluating pedestrian crossing safety: Implementing and evaluating a convolutional neural network model trained on paired aerial and subjective perspective images

Prédiction de réponse au 177Lu-PSMA dans le cancer prostatique métastatique résistant, via l’apprentissage automatique

Active trachoma: enhancing image classification using pretrained SOTA models and explainable AI

Brain-movement relationship during upper-limb functional movements in chronic post-stroke patients

Aging effects on electrical and hemodynamic responses in the sensorimotor network during unilateral proximal upper limb functional tasks

Using shallow neural networks with functional connectivity from EEG signals for early diagnosis of Alzheimer's and frontotemporal dementia

Characterization of spatiotemporal dynamics in EEG data during picture naming with optical flow patterns

Recovering arm function in chronic stroke patients using combined anodal HD-tDCS and virtual reality therapy (ReArm): a study protocol for a randomized controlled trial

Increased day‐to‐day fluctuations in exhaled breath profiles after a rhinovirus challenge in asthma

Ridge Detection by Image Filtering Techniques: A Review and an Objective Analysis

ATTD 2021 Invited Speaker Abstracts

Cross‐sectional biomarker comparisons in asthma monitoring using a longitudinal design: The eNose premise

Collaborators (4)

Camille O Muller

Gerard Dray

Lehel Dénes-Fazakas

Walid Maalej

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