activity
20232026
most citedPerformance of GAN-based augmentation for deep learning COVID-19 image classification

17 citations · 25 across the 5 of their papers we have counts for

collaborators

5 papers

cs.CV2026

CAD-to-CT Registration of Cylindrical Objects via Ellipse-Based Axis Estimation

Aleksander Ogonowski, Mikołaj Mrozowski, Daniel Więcek +9

Accurate registration of CAD models to CT scans is essential for establishing ground truth geometry in volumetric imaging. Obtaining reliable object masks is of growing importance…

cs.LG2026

DSS-GAN: Directional State Space GAN with Mamba backbone for Class-Conditional Image Synthesis

Aleksander Ogonowski, Konrad Klimaszewski, Przemysław Rokita

We present DSS-GAN, the first generative adversarial network to employ Mamba as a hierarchical generator backbone for noise-to-image synthesis. The central contribution is Directio…

cs.CV2024★ 1 cited

Preliminary study on artificial intelligence methods for cybersecurity threat detection in computer networks based on raw data packets

Aleksander Ogonowski, Michał Żebrowski, Arkadiusz Ćwiek +5

Most of the intrusion detection methods in computer networks are based on traffic flow characteristics. However, this approach may not fully exploit the potential of deep learning…

eess.IV2024★ 7 cited

Additional Look into GAN-based Augmentation for Deep Learning COVID-19 Image Classification

Oleksandr Fedoruk, Konrad Klimaszewski, Aleksander Ogonowski +1

The availability of training data is one of the main limitations in deep learning applications for medical imaging. Data augmentation is a popular approach to overcome this problem…

eess.IV2023★ 17 cited

Performance of GAN-based augmentation for deep learning COVID-19 image classification

Oleksandr Fedoruk, Konrad Klimaszewski, Aleksander Ogonowski +1

The biggest challenge in the application of deep learning to the medical domain is the availability of training data. Data augmentation is a typical methodology used in machine lea…