249 citations
Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.
- University of LjubljanaSI5 papers
- Aristotle University of ThessalonikiGR1 paper
- Biomedical Research Networking Center on Neurodegenerative DiseasesES1 paper
- Central European Institute of TechnologyCZ1 paper
- Central European Institute of Technology – Masaryk UniversityCZ1 paper
- Centre National de la Recherche ScientifiqueFR1 paper
- Charles UniversityCZ1 paper
- Hôpitaux Universitaires de StrasbourgFR1 paper
- Hospital de Sant PauES1 paper
- InsermFR1 paper
- Institute of Oncology LjubljanaSI1 paper
- IRCCS San Camillo HospitalIT1 paper
8 papers
Differentiating Viral and Bacterial Infections: A Machine Learning Model Based on Routine Blood Test Values
Gregor Gunčar, Matjaž Kukar, Tim Smole +9
The growing threat of antibiotic resistance necessitates accurate differentiation between bacterial and viral infections for proper antibiotic administration. In this study, a Viru…
COVID-19 diagnosis by routine blood tests using machine learning
Matjaž Kukar, Gregor Gunčar, Tomaž Vovko +7
Physicians taking care of patients with coronavirus disease (COVID-19) have described different changes in routine blood parameters. However, these changes, hinder them from perfor…
Simulation of the COVID-19 pandemic on the social network of Slovenia: estimating the intrinsic forecast uncertainty
Ziga Zaplotnik, Aleksandar Gavric, Luka Medic
In the article a virus transmission model is constructed on a simplified social network. The social network consists of more than 2 million nodes, each representing an inhabitant o…
The reliability of a deep learning model in clinical out-of-distribution MRI data: a multicohort study
Gustav Mårtensson, Daniel Ferreira, Tobias Granberg +22
Deep learning (DL) methods have in recent years yielded impressive results in medical imaging, with the potential to function as clinical aid to radiologists. However, DL models in…
Application of machine learning for hematological diagnosis
Gregor Gunčar, Matjaž Kukar, Mateja Notar +4
Quick and accurate medical diagnosis is crucial for the successful treatment of a disease. Using machine learning algorithms, we have built two models to predict a hematologic dise…
Gafchromic EBT2 film dosimetry in reflection mode with a novel plan-based calibration method
I. Mendez, V. Hartman, R. Hudej +2
Purpose: A dosimetric system formed by Gafchromic EBT2 radiochromic film and Epson Expression 10000XL flatbed scanner was commissioned for dosimetry. In this paper, several open qu…
Rasch-based high-dimensionality data reduction and class prediction with applications to microarray gene expression data
Andrej Kastrin, Borut Peterlin
Class prediction is an important application of microarray gene expression data analysis. The high-dimensionality of microarray data, where number of genes (variables) is very larg…
Chi-square-based scoring function for categorization of MEDLINE citations
Andrej Kastrin, Borut Peterlin, Dimitar Hristovski
Objectives: Text categorization has been used in biomedical informatics for identifying documents containing relevant topics of interest. We developed a simple method that uses a c…