| The 16p11. 2 locus modulates brain structures common to autism, schizophrenia and obesity AM Maillard, A Ruef, F Pizzagalli, E Migliavacca, L Hippolyte, ... Molecular psychiatry 20 (1), 140-147, 2015 | 202 | 2015 |
| The neocortical microcircuit collaboration portal: a resource for rat somatosensory cortex S Ramaswamy, JD Courcol, M Abdellah, SR Adaszewski, N Antille, ... Frontiers in neural circuits 9, 44, 2015 | 155 | 2015 |
| New tissue priors for improved automated classification of subcortical brain structures on MRI S Lorio, S Fresard, S Adaszewski, F Kherif, R Chowdhury, RS Frackowiak, ... Neuroimage 130, 157-166, 2016 | 138 | 2016 |
| How early can we predict Alzheimer's disease using computational anatomy? S Adaszewski, J Dukart, F Kherif, R Frackowiak, B Draganski, ... Neurobiology of aging 34 (12), 2815-2826, 2013 | 117 | 2013 |
| Generative FDG-PET and MRI model of aging and disease progression in Alzheimer's disease J Dukart, F Kherif, K Mueller, S Adaszewski, ML Schroeter, ... PLoS computational biology 9 (4), e1002987, 2013 | 76 | 2013 |
| Simultaneous estimation of population receptive field and hemodynamic parameters from single point BOLD responses using Metropolis-Hastings sampling S Adaszewski, D Slater, L Melie-Garcia, B Draganski, P Bogorodzki Neuroimage 172, 175-193, 2018 | 15 | 2018 |
| 16p11. 2 European Consortium AM Maillard, A Ruef, F Pizzagalli, E Migliavacca, L Hippolyte, ... The 16p11 2, 140-147, 0 | 12 | |
| Peptide conformational sampling using the quantum approximate optimization algorithm S Boulebnane, X Lucas, A Meyder, S Adaszewski, A Montanaro npj Quantum Information 9 (1), 70, 2023 | 8 | 2023 |
| The prospects of Monte Carlo antibody loop modelling on a fault-tolerant quantum computer J Allcock, A Vangone, A Meyder, S Adaszewski, M Strahm, CY Hsieh, ... Frontiers in Drug Discovery 2, 908870, 2022 | 6 | 2022 |
| Automatic pharma news categorization S Adaszewski, P Kuner, RJ Jaeger arXiv preprint arXiv:2201.00688, 2021 | 4 | 2021 |
| Mynodbcsv: lightweight zero-config database solution for handling very large CSV files S Adaszewski Plos one 9 (7), e103319, 2014 | 4 | 2014 |
| Brain Ages Derived from Different MRI Modalities are Associated with Distinct Biological Phenotypes AC Roibu, S Adaszewski, T Schindler, SM Smith, AIL Namburete, ... 2023 10th IEEE Swiss Conference on Data Science (SDS), 17-25, 2023 | 2 | 2023 |
| Posterior distribution of receptive field and hemodynamic parameters using Markov chain Monte Carlo S Adaszewski, D Slater, L Melie-García, B Draganski 22nd Annual Meeting of the Organization for Human Brain Mapping, 2354, 2016 | 2 | 2016 |
| fMRI quality assurance system: phantom and software for automatic data analysis S Adaszewski, K Kamińska, E Piątkowska-Janko, P Bogorodzki, M Pisklak, ... Medical Science Monitor 75 (1), 149-149, 2010 | 1 | 2010 |
| Convex Optimized Population Receptive Field (CO-pRF) Mapping D Slater, L Melie-Garcia, S Adaszewski, K Kay, A Lutti, B Draganski, ... bioRxiv, 172189, 2017 | | 2017 |
| Virtualization of neuroimaging data access and processing for multisite population brain studies S Adaszewski The Institute of Radioelectronics and Multimedia Technology, 2016 | | 2016 |
| SDS 2023 A Amirshahi, N Kirsch, J Reymond, AC Roibu, S Adaszewski, T Schindler, ... | | |
| 2023 10th IEEE Swiss Conference on Data Science (SDS)| 979-8-3503-3875-1/23/$31.00© 2023 IEEE| DOI: 10.1109/SDS57534. 2023.00027 S Adaszewski, A Alfieri, A Amirshahi, M Arias Chao, S Baghersalimi, ... | | |
| fMRI quality assurance system: phantom and automatic data analysis K Kamińska, S Adaszewski, E Piątkowska-Janko, P Bogorodzki, M Pisklak Addresses of the sponsors, 22, 0 | | |
| Computed Tomography meets Magnetic Resonance Imaging in Computational anatomy for Acute Ischemic Stroke study. K Dauyey, S Muller, A Kolly, V Zufferey, J Cui, J Dukart, S Adaszewski, ... | | |
