818 citations
- Erasmus University RotterdamNL40 papers
- Delft University of TechnologyNL32 papers
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- Eindhoven University of TechnologyNL14 papers
- Erasmus MC Cancer InstituteNL13 papers
- Amsterdam University Medical CentersNL8 papers
- Harvard UniversityUS8 papers
- Leiden University Medical CenterNL8 papers
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- Radboud University Medical CenterNL7 papers
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10 papers · 1 filter
q3-MuPa: Quick, Quiet, Quantitative Multi-Parametric MRI using Physics-Informed Diffusion Models
Shishuai Wang, Florian Wiesinger, Noemi Sgambelluri +4
The 3D fast silent multi-parametric mapping sequence with zero echo time (MuPa-ZTE) is a novel quantitative MRI (qMRI) acquisition that enables nearly silent scanning by using a 3D…
Robust Alignment of the Human Embryo in 3D Ultrasound using PCA and an Ensemble of Heuristic, Atlas-based and Learning-based Classifiers Evaluated on the Rotterdam Periconceptional Cohort
Nikolai Herrmann, Marcella C. Zijta, Stefan Klein +5
Standardized alignment of the embryo in three-dimensional (3D) ultrasound images aids prenatal growth monitoring by facilitating standard plane detection, improving visualization o…
Multilingual BERT language model for medical tasks: Evaluation on domain-specific adaptation and cross-linguality
Yinghao Luo, Lang Zhou, Amrish Jhingoer +7
In multilingual healthcare applications, the availability of domain-specific natural language processing(NLP) tools is limited, especially for low-resource languages. Although mult…
Federated Fine-tuning of SAM-Med3D for MRI-based Dementia Classification
Kaouther Mouheb, Marawan Elbatel, Janne Papma +8
While foundation models (FMs) offer strong potential for AI-based dementia diagnosis, their integration into federated learning (FL) systems remains underexplored. In this benchmar…
CLAIRE-DSA: Fluoroscopic Image Classification for Quality Assurance of Computer Vision Pipelines in Acute Ischemic Stroke
Cristo J. van den Berg, Frank G. te Nijenhuis, Mirre J. Blaauboer +9
Computer vision models can be used to assist during mechanical thrombectomy (MT) for acute ischemic stroke (AIS), but poor image quality often degrades performance. This work prese…
Evaluation of the Automatic Classifier AutoSense Sky OS for Pediatric Cochlear Implant Users using a Virtual Classroom Environment
Maartje M. E. Hendrikse, André Goedegebure, Kars R. Tjepkema +1
This study evaluated whether AutoSense Sky OS, an automatic classifier used in pediatric Advanced Bionics cochlear implants (CIs), improves speech intelligibility from the front wi…