1 citations · 1 across the 5 of their papers we have counts for
5 papers
Efficient Search of Implantable Adaptive Cells for Medical Image Segmentation
Emil Benedykciuk, Marcin Denkowski, Grzegorz M. Wójcik
Purpose: Adaptive skip modules can improve medical image segmentation, but searching for them is computationally costly. Implantable Adaptive Cells (IACs) are compact NAS modules i…
Prints in the Magnetic Dust: Robust Similarity Search in Legacy Media Images Using Checksum Count Vectors
Maciej Grzeszczuk, Kinga Skorupska, Grzegorz M. Wójcik
Digitizing magnetic media containing computer data is only the first step towards the preservation of early home computing era artifacts. The audio tape images must be decoded, ver…
Towards Effective Human Performance in XR Space Framework based on Real-time Eye Tracking Biofeedback
Barbara Karpowicz, Tomasz Kowalewski, Pavlo Zinevych +3
This paper proposes an eye tracking module for the XR Space Framework aimed at enhancing human performance in XR-based applications, specifically in training, screening, and teleop…
The Hidden Dangers of Browsing AI Agents
Mykyta Mudryi, Markiyan Chaklosh, Grzegorz Wójcik
Autonomous browsing agents powered by large language models (LLMs) are increasingly used to automate web-based tasks. However, their reliance on dynamic content, tool execution, an…
Implantable Adaptive Cells: A Novel Enhancement for Pre-Trained U-Nets in Medical Image Segmentation
Emil Benedykciuk, Marcin Denkowski, Grzegorz Wójcik
This paper introduces a novel approach to enhance the performance of pre-trained neural networks in medical image segmentation using gradient-based Neural Architecture Search (NAS)…