Gábor Hullám

According to our database, Gábor Hullám authored at least 10 papers between 2006 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2024

Heart Segmentation on PA Chest X-Ray Images by Model-Based Deep Learning Approach.

Adam Tumay, Daniel Hadhazi, Gábor Hullám

Proceedings of the IEEE International Symposium on Medical Measurements and Applications, 2024

Detection of Microcalcifications in Mammograms Using Algorithmic Filtering and Region-Based Neural Networks.

Daniel Hadhazi, Mihaly Vetro, Gábor Hullám

Proceedings of the IEEE International Symposium on Medical Measurements and Applications, 2024

2023

Automatic Spine Segmentation in CT Scans.

Gabor Revy, Daniel Hadhazi, Gábor Hullám

Proceedings of the 16th International Joint Conference on Biomedical Engineering Systems and Technologies, 2023

2022

Automatic lung segmentation in CT scans using guided filtering.

Gabor Revy, Daniel Hadhazi, Gábor Hullám

Proceedings of the 9th International Conference on Bioinformatics Research and Applications, 2022

2017

Structural and parametric uncertainties in full Bayesian and graphical lasso based approaches: Beyond edge weights in psychological networks.

Gábor Hullám, Gabriella Juhász, Bill Deakin, Peter Antal

Proceedings of the IEEE Conference on Computational Intelligence in Bioinformatics and Computational Biology, 2017

2016

Bayesian Relevance and Effect Size Measures

Gábor Hullám

PhD thesis, 2016

2014

Towards a Bayesian Decision Theoretic Analysis of Contextual Effect Modifiers.

Gábor Hullám, Peter Antal

Proceedings of the Probabilistic Graphical Models - 7th European Workshop, 2014

2010

Evaluation of a Bayesian model-based approach in GA studies.

Gábor Hullám, Peter Antal, Csaba Szalai, András Falus

Proceedings of the third International Workshop on Machine Learning in Systems Biology, 2010

2008

A Bayesian View of Challenges in Feature Selection: Feature Aggregation, Multiple Targets, Redundancy and Interaction.

Peter Antal, András Millinghoffer, Gábor Hullám, Csaba Szalai, András Falus

Proceedings of the Third Workshop on New Challenges for Feature Selection in Data Mining and Knowledge Discovery, 2008

2006

Learning Complex Bayesian Network Features for Classification.

Peter Antal, András Gézsi, Gábor Hullám, András Millinghoffer

Proceedings of the Third European Workshop on Probabilistic Graphical Models, 2006