| Adversarial autoencoders for compact representations of 3D point clouds M Zamorski, M Zięba, P Klukowski, R Nowak, K Kurach, W Stokowiec, ... Computer Vision and Image Understanding 193, 102921, 2020 | 116 | 2020 |
| A versatile pipeline for the multi-scale digital reconstruction and quantitative analysis of 3D tissue architecture H Morales-Navarrete, F Segovia-Miranda, P Klukowski, K Meyer, ... Elife 4, 2015 | 104 | 2015 |
| NMRNet: A deep learning approach to automated peak picking of protein NMR spectra P Klukowski, M Augoff, M Zięba, M Drwal, A Gonczarek, MJ Walczak, ... Bioinformatics, 2018 | 62 | 2018 |
| Rapid protein assignments and structures from raw NMR spectra with the deep learning technique ARTINA P Klukowski, R Riek, P Güntert Nature Communications 13 (1), 1-12, 2022 | 40 | 2022 |
| Computer vision-based automated peak picking applied to protein NMR spectra P Klukowski, MJ Walczak, A Gonczarek, J Boudet, G Wider Bioinformatics 31 (18), 2981-2988, 2015 | 21 | 2015 |
| Chemical shift-based identification of monosaccharide spin-systems with NMR spectroscopy to complement untargeted glycomics P Klukowski, M Schubert Bioinformatics, 2018 | 19 | 2018 |
| Gaussian process regression for automated signal tracking in step-wise perturbed Nuclear Magnetic Resonance spectra M Zieba, P Klukowski, A Gonczarek, Y Nikolaev, MJ Walczak Applied Soft Computing 68, 162-171, 2018 | 13 | 2018 |
| NMRtist: an online platform for automated biomolecular NMR spectra analysis P Klukowski, R Riek, P Güntert Bioinformatics, btad066, 2023 | 7 | 2023 |
| PDBcor: An automated correlation extraction calculator for multi-state protein structures D Ashkinadze, P Klukowski, H Kadavath, P Güntert, R Riek Structure 30 (4), 646-652. e2, 2022 | 7 | 2022 |
| Application of Dirichlet process mixture model to the identification of spin systems in protein NMR spectra P Klukowski, M Augoff, M Zamorski, A Gonczarek, MJ Walczak Journal of Biomolecular NMR, 1-8, 2018 | 3 | 2018 |
| Time-optimized protein NMR assignment with an integrative deep learning approach using AlphaFold and chemical shift prediction P Klukowski, R Riek, P Güntert Science Advances 9 (47), eadi9323, 2023 | 1 | 2023 |
| Chemical shift transfer: an effective strategy for protein NMR assignment with ARTINA H Wetton, P Klukowski, R Riek, P Güntert Frontiers in Molecular Biosciences 10, 2023 | 1 | 2023 |
| A benchmark for automated peak picking of protein NMR spectra P Klukowski, A Gonczarek, MJ Walczak Computational Intelligence in Bioinformatics and Computational Biology …, 2015 | 1 | 2015 |
| The 100-protein NMR spectra dataset: A resource for biomolecular NMR data analysis P Klukowski, FF Damberger, FHT Allain, H Iwai, H Kadavath, TA Ramelot, ... Scientific Data 11 (1), 30, 2024 | | 2024 |
| ARTINA spectra dataset P Klukowski, R Riek, P Güntert | | 2023 |
| A Bayesian Framework for Chemical Shift Assignment A Gonczarek, P Klukowski, M Drwal, P Świątek Asian Conference on Intelligent Information and Database Systems, 641-649, 2017 | | 2017 |
| Towards fully automated protein structure elucidation with NMR spectroscopy P Klukowski, A Gonczarek | | |
Adam GonczarekAlphamoonVerified email at alphamoon.ai
Adam GonczarekAlphamoonVerified email at alphamoon.ai