1 citations · 2 across the 5 of their papers we have counts for
5 papers
Acoustic UAV Detection in Battlefield Scenarios: Handling Noise, Domain Shift, and Weak Labels
Vadym Vilhurin, Volodymyr Sydorskyi, Andrii Shevtsov
Passive acoustic sensing offers a critical, cost-efficient, and, crucially, passive alternative for detecting small unmanned aerial vehicles. However, the practical deployment of a…
Lung nodule classification on CT scan patches using 3D convolutional neural networks
Volodymyr Sydorskyi
Lung cancer remains one of the most common and deadliest forms of cancer worldwide. The likelihood of successful treatment depends strongly on the stage at which the disease is dia…
Multimodal system for skin cancer detection
Volodymyr Sydorskyi, Igor Krashenyi, Oleksii Yakubenko
Melanoma detection is vital for early diagnosis and effective treatment. While deep learning models on dermoscopic images have shown promise, they require specialized equipment, li…
Interactive decision support system for lung cancer segmentation
Volodymyr Sydorskyi
This paper studies Clinical Intelligent Decision Support Systems (CIDSSs) for lung cancer segmentation, which are based on deep neural nets. A new interactive CIDSS is proposed and…
Semi-Supervised Segmentation of Functional Tissue Units at the Cellular Level
Volodymyr Sydorskyi, Igor Krashenyi, Denis Sakva +1
We present a new method for functional tissue unit segmentation at the cellular level, which utilizes the latest deep learning semantic segmentation approaches together with domain…