80 citations · 100 across the 7 of their papers we have counts for
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eess.IV2025
Large-scale modality-invariant foundation models for brain MRI analysis: Application to lesion segmentation
Petros Koutsouvelis, Matej Gazda, Leroy Volmer +5
The field of computer vision is undergoing a paradigm shift toward large-scale foundation model pre-training via self-supervised learning (SSL). Leveraging large volumes of unlabel…
eess.IV2021★ 80 cited
Self-supervised deep convolutional neural network for chest X-ray classification
Matej Gazda, Jakub Gazda, Jan Plavka +1
Chest radiography is a relatively cheap, widely available medical procedure that conveys key information for making diagnostic decisions. Chest X-rays are almost always used in the…