Jan L. Bruse

According to our database, Jan L. Bruse authored at least 14 papers between 2015 and 2023.

Collaborative distances:

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

2023

Visual Analytics Platform for Centralized COVID-19 Digital Contact Tracing.

Igor García Olaizola, Jan Lukas Bruse, Juan Odriozola, Arkaitz Artetxe, David Velásquez, Marco Quartulli, Jorge Posada

IEEE Computer Graphics and Applications, 2023

Temporal Analysis of Distribution Shifts in Malware Classification for Digital Forensics.

Francesco Zola, Jan Lukas Bruse, Mikel Galar

Proceedings of the IEEE European Symposium on Security and Privacy, 2023

2022

Network traffic analysis through node behaviour classification: a graph-based approach with temporal dissection and data-level preprocessing.

Francesco Zola, Lander Segurola-Gil, Jan Lukas Bruse, Mikel Galar, Raul Orduna Urrutia

Comput. Secur., 2022

Feasibility of a longitudinal statistical atlas model to study aortic growth in congenital heart disease.

Froso Sophocleous, Alexandre Bône, Andrew I. U. Shearn, Mari Nieves Velasco Forte, Jan L. Bruse, Massimo Caputo, Giovanni Biglino

Comput. Biol. Medicine, 2022

Attacking Bitcoin anonymity: generative adversarial networks for improving Bitcoin entity classification.

Francesco Zola, Lander Segurola-Gil, Jan L. Bruse, Mikel Galar, Raul Orduna Urrutia

Appl. Intell., 2022

Verification system based on long-range iris and Graph Siamese Neural Networks.

Francesco Zola, Jose Alvaro Fernandez-Carrasco, Jan Lukas Bruse, Mikel Galar, Zeno J. M. H. Geradts

Proceedings of the 3rd European Symposium on Software Engineering, 2022

2021

ArchABM: an agent-based simulator of human interaction with the built environment. CO₂ and viral load analysis for indoor air quality.

Iñigo Martinez, Jan L. Bruse, Ane M. Florez-Tapia, Elisabeth Viles, Igor G. Olaizola

CoRR, 2021

Temporal graph-based approach for behavioural entity classification.

Francesco Zola, Lander Segurola, Jan Lukas Bruse, Mikel Galar Idoate

CoRR, 2021

2020

Generative Adversarial Networks for Bitcoin Data Augmentation.

Francesco Zola, Jan Lukas Bruse, Xabier Etxeberria Barrio, Mikel Galar, Raul Orduna Urrutia

Proceedings of the 2nd Conference on Blockchain Research & Applications for Innovative Networks and Services, 2020

2019

Cascading Machine Learning to Attack Bitcoin Anonymity.

Francesco Zola, Maria Eguimendia, Jan Lukas Bruse, Raul Orduna Urrutia

Proceedings of the IEEE International Conference on Blockchain, 2019

2017

Detecting Clinically Meaningful Shape Clusters in Medical Image Data: Metrics Analysis for Hierarchical Clustering Applied to Healthy and Pathological Aortic Arches.

Jan L. Bruse, Maria A. Zuluaga, Abbas Khushnood, Kristin McLeod, Hopewell N. Ntsinjana, Tain-Yen Hsia, Maxime Sermesant, Xavier Pennec, Andrew Mayall Taylor, Silvia Schievano

IEEE Trans. Biomed. Eng., 2017

Statistical shape modelling to aid surgical planning: associations between surgical parameters and head shapes following spring-assisted cranioplasty.

Naiara Rodriguez-Florez, Jan L. Bruse, Alessandro Borghi, Herman Vercruysse, Juling Ong, Greg James, Xavier Pennec, David J. Dunaway, N. U. Owase Jeelani, Silvia Schievano

Int. J. Comput. Assist. Radiol. Surg., 2017

2016

A statistical shape modelling framework to extract 3D shape biomarkers from medical imaging data: assessing arch morphology of repaired coarctation of the aorta.

Jan L. Bruse, Kristin McLeod, Giovanni Biglino, Hopewell N. Ntsinjana, Claudio Capelli, Tain-Yen Hsia, Maxime Sermesant, Xavier Pennec, Andrew Mayall Taylor, Silvia Schievano

BMC Medical Imaging, 2016

2015

A Non-parametric Statistical Shape Model for Assessment of the Surgically Repaired Aortic Arch in Coarctation of the Aorta: How Normal is Abnormal?

Jan L. Bruse, Kristin McLeod, Giovanni Biglino, Hopewell N. Ntsinjana, Claudio Capelli, Tain-Yen Hsia, Maxime Sermesant, Xavier Pennec, Andrew Mayall Taylor, Silvia Schievano

Proceedings of the Statistical Atlases and Computational Models of the Heart. Imaging and Modelling Challenges, 2015