3 citations · 5 across the 4 of their papers we have counts for
5 papers
The Challenges of PROTAC Permeability Prediction
Lukáš Hudec, Rocío Mercado
Cell permeability is a key bottleneck for PROTAC development, and public data available to model it is scarce and inconsistent. We adapt an expert-in-the-loop LLM extraction workfl…
Editable Stain Transformation Of Histological Images Using Unpaired GANs
Tibor Sloboda, Lukáš Hudec, Wanda Benešová
Double staining in histopathology, particularly for metaplastic breast cancer, typically employs H&E and P63 dyes. However, P63's tissue damage and high cost necessitate alternativ…
xAI-CycleGAN, a Cycle-Consistent Generative Assistive Network
Tibor Sloboda, Lukáš Hudec, Wanda Benešová
In the domain of unsupervised image-to-image transformation using generative transformative models, CycleGAN has become the architecture of choice. One of the primary downsides of…
Towards Deep Learning-based 6D Bin Pose Estimation in 3D Scans
Lukáš Gajdošech, Viktor Kocur, Martin Stuchlík +2
An automated robotic system needs to be as robust as possible and fail-safe in general while having relatively high precision and repeatability. Although deep learning-based method…
Weighted multi-level deep learning analysis and framework for processing breast cancer WSIs
Peter Bokor, Lukas Hudec, Ondrej Fabian +1
Prevention and early diagnosis of breast cancer (BC) is an essential prerequisite for the selection of proper treatment. The substantial pressure due to the increase of demand for…