Foundations of recommender system for STN localization during DBS surgery in Parkinson’s patients K Ciecierski, ZW Raś, AW Przybyszewski Foundations of Intelligent Systems: 20th International Symposium, ISMIS 2012 …, 2012 | 19 | 2012 |
Computer aided subthalamic nucleus (STN) localization during deep brain stimulation (DBS) surgery in Parkinson's patients KA Ciecierski, T Mandat, R Rola, ZW Raś, A Przybyszewski Annales Academiae Medicae Silesiensis 68 (5), 2014 | 17 | 2014 |
Selection of the optimal microelectrode during DBS surgery in Parkinson’s patients K Ciecierski, ZW Raś, AW Przybyszewski Foundations of Intelligent Systems: 19th International Symposium, ISMIS 2011 …, 2011 | 14 | 2011 |
Foundations of automatic system for intrasurgical localization of subthalamic nucleus in Parkinson patients KA Ciecierski, ZW Raś, AW Przybyszewski Web Intelligence and Agent Systems: An International Journal 12 (1), 63-82, 2014 | 13 | 2014 |
Unsupervised Machine Learning in Classification of Neurobiological Data KA Ciecierski, T Mandat Intelligent Methods and Big Data in Industrial Applications, 203-212, 2019 | 11 | 2019 |
Discrimination of the micro electrode recordings for STN localization during DBS surgery in parkinson’s patients K Ciecierski, ZW Raś, AW Przybyszewski Flexible Query Answering Systems: 10th International Conference, FQAS 2013 …, 2013 | 7 | 2013 |
Mathematical methods of signal analysis applied in medical diagnostic KA Ciecierski International Journal of Applied Mathematics and Computer Science 30 (3 …, 2020 | 6 | 2020 |
Decision Support System for surgical treatment of Parkinsons disease KA Ciecierski The Institute of Computer Science, 2014 | 6 | 2014 |
Detection of SNr Recordings Basing upon Spike Shape Classes and Signal’s Background KA Ciecierski, T Mandat International Conference on Brain and Health Informatics, 336-345, 2016 | 4 | 2016 |
Classification of masked image data K Lis, M Koryciński, KA Ciecierski Plos one 16 (7), e0254181, 2021 | 3 | 2021 |
Comparison of text classification methods for government documents KA Ciecierski, M Kamola International Conference on Artificial Intelligence and Soft Computing, 39-49, 2020 | 3 | 2020 |
Classification of DBS microelectrode recordings using a residual neural network with attention in the temporal domain KA Ciecierski, T Mandat Neural Networks 170, 18-31, 2024 | 2 | 2024 |
Periaqueductal/periventricular gray deep brain stimulation for the treatment of neuropathic facial pain V Mandat, PR Zdunek, B Krolicki, K Szalecki, HM Koziara, K Ciecierski, ... Frontiers in Neurology 14, 1239092, 2023 | 2 | 2023 |
Neural spike sorting using unsupervised adversarial learning KA Ciecierski International Symposium on Methodologies for Intelligent Systems, 192-202, 2020 | 2 | 2020 |
Methods of automatic artifact removal in neurobiological signals KA Ciecierski Automation 2018: Advances in Automation, Robotics and Measurement Techniques …, 2018 | 2 | 2018 |
Intraoperative Decision Making with Rough Set Rules for STN DBS in Parkinson Disease K Ciecierski, ZW Raś, AW Przybyszewski Brain Informatics and Health: International Conference, BIH 2014, Warsaw …, 2014 | 2 | 2014 |
AW Przybyszewski Selection of the optimal electrode in Parkinson’s disease DBS treatment, Foundations of Intelligent Systems, ISMIS 2011 Symposium, LNAI, Vol. 6804 K Ciecierski, ZW Ras Springer, 2011 | 2 | 2011 |
Neural fiber prediction with deep learning M Korycinski, KA Ciecierski, E Niewiadomska-Szynkiewicz 2022 18th International Conference on Wireless and Mobile Computing …, 2022 | 1 | 2022 |
Narrow band-based detection of basal ganglia subterritories KA Ciecierski International Conference on Artificial Intelligence and Soft Computing, 138-148, 2019 | 1 | 2019 |
Applications of decision support systems in functional neurosurgery KA Ciecierski, T Mandat Trends in Advanced Intelligent Control, Optimization and Automation …, 2017 | 1 | 2017 |