116 citations
- University of GroningenNL9 papers
- Radboud University Medical CenterNL3 papers
- Radboud University NijmegenNL3 papers
- Dutch Cancer SocietyNL2 papers
- Oncode InstituteNL2 papers
- University Medical Center UtrechtNL2 papers
- University of TwenteNL2 papers
- Aarhus UniversityDK1 paper
- Amsterdam UMC Location Vrije Universiteit AmsterdamNL1 paper
- Amsterdam University Medical CentersNL1 paper
- Astronomical Institute of the Slovak Academy of SciencesSK1 paper
- Australian Catholic UniversityAU1 paper
12 papers
Optimizing Federated Learning Configurations for MRI Prostate Segmentation and Cancer Detection: A Simulation Study
Ashkan Moradi, Fadila Zerka, Joeran S. Bosma +7
Purpose: To develop and optimize a federated learning (FL) framework across multiple clients for biparametric MRI prostate segmentation and clinically significant prostate cancer (…
Statistical and Predictive Analysis to Identify Risk Factors and Effects of Post COVID-19 Syndrome
Milad Leyli-abadi, Jean-Patrick Brunet, Axel Tahmasebimoradi
Based on recent studies, some COVID-19 symptoms can persist for months after infection, leading to what is termed long COVID. Factors such as vaccination timing, patient characteri…
Automated speech audiometry: Can it work using open-source pre-trained Kaldi-NL automatic speech recognition?
Gloria Araiza-Illan, Luke Meyer, Khiet P. Truong +1
A practical speech audiometry tool is the digits-in-noise (DIN) test for hearing screening of populations of varying ages and hearing status. The test is usually conducted by a hum…
Emphysema Subtyping on Thoracic Computed Tomography Scans using Deep Neural Networks
Weiyi Xie, Colin Jacobs, Jean-Paul Charbonnier +2
Accurate identification of emphysema subtypes and severity is crucial for effective management of COPD and the study of disease heterogeneity. Manual analysis of emphysema subtypes…
SynthRAD2023 Grand Challenge dataset: generating synthetic CT for radiotherapy
Adrian Thummerer, Erik van der Bijl, Arthur Jr Galapon +6
Purpose: Medical imaging has become increasingly important in diagnosing and treating oncological patients, particularly in radiotherapy. Recent advances in synthetic computed tomo…
CNN Attention Guidance for Improved Orthopedics Radiographic Fracture Classification
Zhibin Liao, Kewen Liao, Haifeng Shen +6
Convolutional neural networks (CNNs) have gained significant popularity in orthopedic imaging in recent years due to their ability to solve fracture classification problems. A comm…