Information extraction from polish radiology reports using language models A Obuchowski, B Klaudel, P Jasik Proceedings of the 9th Workshop on Slavic Natural Language Processing 2023 …, 2023 | 4 | 2023 |
COVID-19 severity forecast based on machine learning and complete blood count data B Klaudel, A Obuchowski, R Karski, B Rydziński, P Jasik, Z Kowalczuk International Conference on Diagnostics of Processes and Systems, 52-62, 2022 | 4 | 2022 |
Explainable machine learning for diffraction patterns S Nawaz, V Rahmani, D Pennicard, SPR Setty, B Klaudel, H Graafsma Journal of applied crystallography 56 (5), 2023 | 3 | 2023 |
Forewarned is forearmed: machine learning algorithms for the prediction of catheter-induced coronary and aortic injuries J Klaudel, B Klaudel, M Glaza, W Trenkner, P Derejko, M Szołkiewicz International Journal of Environmental Research and Public Health 19 (24), 17002, 2022 | 2 | 2022 |
Machine-aided detection of SARS-CoV-2 from complete blood count B Klaudel, A Obuchowski, M Dąbrowska, K Sałaga-Zaleska, Z Kowalczuk International Conference on Diagnostics of Processes and Systems, 17-28, 2022 | 2 | 2022 |
Enhancing Renal Tumor Detection: Leveraging Artificial Neural Networks in Computed Tomography Analysis M Glembin, A Obuchowski, B Klaudel, B Rydzinski, R Karski, P Syty, ... Medical Science Monitor: International Medical Journal of Experimental and …, 2023 | 1 | 2023 |
Catheter-induced coronary artery and aortic dissections. A study of the mechanisms, risk factors, and propagation causes J Klaudel, M Glaza, B Klaudel, W Trenkner, K Pawłowski, M Szołkiewicz Cardiology Journal, 2022 | 1 | 2022 |
Target-Free Domain Adaptation through Cross-Adaptation (Student Abstract) A Obuchowski, B Klaudel, P Frąckowski, S Krajna, W Badyra, ... Proceedings of the AAAI Conference on Artificial Intelligence 38 (21), 23602 …, 2024 | | 2024 |
CRT-100.46 Predictors of Catheter-Induced Coronary and Aortic Dissections: A Machine Learning Approach B Klaudel, J Klaudel, M Glaza, W Trenkner, M Szolkiewicz Cardiovascular Interventions 16 (4_Supplement), S36-S36, 2023 | | 2023 |
Enhancing Renal Tumor Detection: Leveraging Artificial Neural Networks in Computed Tomography Analysis M Glembin, A Obuchowski, B Klaudel, B Rydziński, R Karski, P Syty, ... Medical Science Monitor 29, 1-9, 2023 | | 2023 |
ColorNephroNet: Kidney tumor malignancy prediction using medical image colorization A Obuchowski, B Klaudel, R Karski, B Rydziński, M Glembin, P Syty, ... The International FLAIRS Conference Proceedings 35, 2022 | | 2022 |
Explainable Artificial Intelligence for the analysis of diffraction images B Klaudel | | 2021 |
Deep convolutional neural network for predicting kidney tumour malignancy A Obuchowski, O Klaudel, Barbara, R Karski, B Rydziński, M Glembin, ... Insights into Imaging 12 (75), 126s43, 2021 | | 2021 |
Deep convolutional neural network for predicting kidney tumour malignancy A Obuchowski, O Klaudel, Barbara, R Karski, B Rydziński, M Glembin, ... Insights into Imaging 12 (75), 126, 2021 | | 2021 |
Medical Image Dataset Annotation Service (MIDAS) B Klaudel, A Obuchowski, B Rydziński, R Karski, M Glembin, P Syty, ... | | 2020 |