Application of Wearable Smart System To Support Physical Activity. - Pawel Swiatek; Piotr Klukowski; Krzysztof Brzostowski; Jaroslaw Drapala (KES, 2012)

A benchmark for automated peak picking of protein NMR spectra. - Piotr Klukowski; Adam Gonczarek; Michal J. Walczak (CIBCB, 2015)

Computer vision-based automated peak picking applied to protein NMR spectra. - Piotr Klukowski; Michal J. Walczak; Adam Gonczarek; Julien Boudet; Gerhard Wider (Bioinform., 2015)

A Bayesian Framework for Chemical Shift Assignment. - Adam Gonczarek; Piotr Klukowski; Maciej Drwal; Pawel Swiatek (ACIIDS (2), 2017)

Gaussian process regression for automated signal tracking in step-wise perturbed Nuclear Magnetic Resonance spectra. - Maciej Zieba; Piotr Klukowski; Adam Gonczarek; Yaroslav Nikolaev; Michal J. Walczak (Appl. Soft Comput., 2018)

NMRNet: a deep learning approach to automated peak picking of protein NMR spectra. - Piotr Klukowski; Michal Augoff; Maciej Zieba; Maciej Drwal; Adam Gonczarek; Michal J. Walczak (Bioinform., 2018)

Towards fully automated protein structure elucidation with NMR spectroscopy. - Piotr Klukowski; Adam Gonczarek (CoRR, 2018)

Chemical shift-based identification of monosaccharide spin-systems with NMR spectroscopy to complement untargeted glycomics. - Piotr Klukowski; Mario Schubert (Bioinform., 2019)

Adversarial autoencoders for compact representations of 3D point clouds. - Maciej Zamorski; Maciej Zieba; Piotr Klukowski; Rafal Nowak; Karol Kurach; Wojciech Stokowiec; Tomasz Trzcinski (Comput. Vis. Image Underst., 2020)

Leveraging deep learning for fully automated NMR protein structure determination. - Piotr Klukowski; Roland Riek; Peter Güntert (CoRR, 2022)

NMRtist: an online platform for automated biomolecular NMR spectra analysis. - Piotr Klukowski; Roland Riek; Peter Güntert (Bioinform., 2023)