Redona Brahimetaj

According to our database, Redona Brahimetaj authored at least 9 papers between 2018 and 2026.

Collaborative distances:

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

2026

Fully Convolutional Denoising Autoencoder with Skip Connections for Noise Reduction in (Simulated) Respiratory RIP Signals.

Redona Brahimetaj, Sofia Yfantidou, Maarten Gijssel, Vangelis Lympouridis, Silvia Zaccardi, Bart Jansen

Proceedings of the 19th International Joint Conference on Biomedical Engineering Systems and Technologies, 2026

Erosion-Dilation Trajectory Radiomics for Classifying 3D High-Resolution Breast Microcalcifications.

Redona Brahimetaj, Jan Cornelis, Bart Jansen

Proceedings of the 19th International Joint Conference on Biomedical Engineering Systems and Technologies, 2026

A Comparative Evaluation of Open-Source Gait Event Detection Methods Using a Single Sacrum-Mounted IMU.

Elena Botti, Redona Brahimetaj, Eva Swinnen, Bart Jansen

Proceedings of the 19th International Joint Conference on Biomedical Engineering Systems and Technologies, 2026

2025

Topological Versus Spatiotemporal Gait Parameters for Fall Risk Detection with IMU Sensors.

Redona Brahimetaj, Elena Botti, Ivan Bautmans, Eva Swinnen, Bart Jansen

Proceedings of the Sensor-Based Activity Recognition and Artificial Intelligence, 2025

Insights Into Azure Kinect Skeletal Tracking: A Simple Approach to Reduce IR Passive Noise.

Silvia Zaccardi, Redona Brahimetaj, Federico Trovalusci, Reinhard Claeys, Rossana Lovecchio, David Beckwée, Eva Swinnen, Bart Jansen

Proceedings of the 25th International Conference on Digital Signal Processing, 2025

HoloMoCap: Real-Time Clinical Motion Capture with HoloLens 2.

Silvia Zaccardi, Anxhela Arapi, Taylor Frantz, Redona Brahimetaj, Ruben Debeuf, David Beckwée, Eva Swinnen, Bart Jansen

Proceedings of the 2025 IEEE International Conference on Artificial Intelligence and eXtended and Virtual Reality (AIxVR), 2025

2020

Explainable-by-design Semi-Supervised Representation Learning for COVID-19 Diagnosis from CT Imaging.

Abel Díaz Berenguer, Hichem Sahli, Boris Joukovsky, Maryna Kvasnytsia, Ine Dirks, Mitchel Alioscha-Pérez, Nikos Deligiannis, Panagiotis Gonidakis, Sebastián Amador Sánchez, Redona Brahimetaj, Evgenia Papavasileiou, Jonathan Cheung-Wai Chan, Fei Li, Shangzhen Song, Yixin Yang, Sofie Tilborghs, Siri Willems, Tom Eelbode, Jeroen Bertels, Dirk Vandermeulen, Frederik Maes, Paul Suetens, Lucas Fidon, Tom Vercauteren, David Robben, Arne Brys, Dirk Smeets, Bart Ilsen, Nico Buls, Nina Watté, Johan de Mey, Annemiek Snoeckx, Paul M. Parizel, Julien Guiot, Louis Deprez, Paul Meunier, Stefaan Gryspeerdt, Kristof De Smet, Bart Jansen, Jef Vandemeulebroucke

CoRR, 2020

2019

Computer Aided Detection and Diagnosis System for Breast Cancer Detection Based on High Resolution 3D micro-CT Breast Microcalcifications.

Redona Brahimetaj, Evgenia Papavasileiou, Frederik Temmermans, Bruno Cornelis, Inneke Willekens, Johan de Mey, Bart Jansen

Proceedings of the 31st Benelux Conference on Artificial Intelligence (BNAIC 2019) and the 28th Belgian Dutch Conference on Machine Learning (Benelearn 2019), 2019

2018

Towards a CAD System for Breast Cancer Based on Individual Microcalcifications?

Evgenia Papavasileiou, Redona Brahimetaj, Frederik Temmermans, Bruno Cornelis, Inneke Willekens, Johan de Mey, Bart Jansen

Proceedings of the 20th IEEE International Conference on e-Health Networking, 2018