| Deep recurrent neural networks for ECG signal denoising K Antczak arXiv preprint arXiv:1807.11551, 2018 | 115 | 2018 |
| Stenosis detection with deep convolutional neural networks K Antczak, Ł Liberadzki MATEC web of conferences 210, 04001, 2018 | 39 | 2018 |
| A generative adversarial approach to ECG synthesis and denoising K Antczak arXiv preprint arXiv:2009.02700, 2020 | 13 | 2020 |
| Deep recurrent neural networks for ECG signal denoising. arXiv 2018 K Antczak arXiv preprint arXiv:1807.11551, 0 | 8 | |
| Deep recurrent neural networks for ECG signal denoising. arxiv K Antczak arXiv preprint arXiv:1807.11551, 2018 | 6 | 2018 |
| On regularization properties of artificial datasets for deep learning K Antczak arXiv preprint arXiv:1908.07005, 2019 | 4 | 2019 |
| Rank thresholds in classifier ensembles in medical diagnosis K Antczak Computer Science and Mathematical Modelling, 2016 | 4 | 2016 |
| Representation learning for medical data K Antczak arXiv preprint arXiv:2001.08269, 2020 | 2 | 2020 |
| Patient Safety versus Computer Diagnosis A Walczak, K Antczak MATEC Web of Conferences 76, 04006, 2016 | 2 | 2016 |
| Uczenie głębokie w diagnostyce medycznej K Antczak Symulacja w Badaniach i Rozwoju 7 (3-4), 2016 | 1 | 2016 |
| Image caption generation using transfer learning R Kopiński, K Antczak Computer Science and Mathematical Modelling, 2022 | | 2022 |
| Representation Learning for Diagnostic Data K Antczak International Conference on Computer Information Systems and Industrial …, 2020 | | 2020 |
| Evaluation of diagnostic classifiers using artificial clinical cases K Antczak, A Walczak, M Paczkowski MATEC Web of Conferences 125, 04003, 2017 | | 2017 |
| Evaluating deep neural networks for medical diagnosis K ANTCZAK, A WALCZAK, M PACZKOWSKI | | |
| Memory Analysis with Wavelet Transform K Antczak | | |
