13 citations · 20 across the 5 of their papers we have counts for
5 papers
Distribution-based deep multiple instance learning for tumor proportion scoring in NSCLC
Krzysztof Pysz, Artur Bartczak, Jarosław Kwiecień +2
Accurate assessment of tumor proportion score (TPS) in non-small cell lung cancer (NSCLC) is critical for treatment planning and prognosis. Key challenges include the tedious manua…
Estimating probabilistic context-free grammars for proteins using contact map constraints
Witold Dyrka, François Coste, Juliette Talibart
Learning language of protein sequences, which captures non-local interactions between amino acids close in the spatial structure, is a long-standing bioinformatics challenge, which…
How to measure the topological quality of protein grammars?
Witold Dyrka, François Coste, Olgierd Unold +2
Context-free and context-sensitive formal grammars are often regarded as more appropriate to model proteins than regular level models such as finite state automata and Hidden Marko…
Machine learning methods for accurate delineation of tumors in PET images
Jakub Czakon, Filip Drapejkowski, Grzegorz Zurek +3
In oncology, Positron Emission Tomography imaging is widely used in diagnostics of cancer metastases, in monitoring of progress in course of the cancer treatment, and in planning r…
Fast assessment of structural models of ion channels based on their predicted current-voltage characteristics
Witold Dyrka, Monika Kurczyńska, Bogumił M. Konopka +1
Computational prediction of protein structures is a difficult task, which involves fast and accurate evaluation of candidate model structures. We propose to enhance single model qu…