The liver tumor segmentation benchmark (lits) P Bilic, P Christ, HB Li, E Vorontsov, A Ben-Cohen, G Kaissis, A Szeskin, ... Medical Image Analysis 84, 102680, 2023 | 962 | 2023 |
End-to-end trained encoder–decoder convolutional neural network for fetal electrocardiogram signal denoising E Fotiadou, T Konopczyński, J Hesser, R Vullings Physiological measurement 41 (1), 015005, 2020 | 26 | 2020 |
Instance segmentation of fibers from low resolution ct scans via 3d deep embedding learning T Konopczyński, T Kröger, L Zheng, J Hesser arXiv preprint arXiv:1901.01034, 2019 | 19 | 2019 |
Fully convolutional deep network architectures for automatic short glass fiber semantic segmentation from ct scans T Konopczyński, D Rathore, J Rathore, T Kröger, L Zheng, CS Garbe, ... arXiv preprint arXiv:1901.01211, 2019 | 18 | 2019 |
Reference Setup for Quantitative Comparison of Segmentation Techniques for Short Glass Fiber CT Data T Konopczyński, J Rathore, T Kröger, L Zheng, CS Garbe, S Carmignato, ... The e-Journal of Nondestructive Testing, 2017 | 18 | 2017 |
Deep convolutional encoder-decoder framework for fetal ECG signal denoising E Fotiadou, T Konopczyński, J Hesser, R Vullings 2019 Computing in Cardiology (CinC), Page 1-Page 4, 2019 | 11 | 2019 |
Liver lesion segmentation with slice-wise 2d tiramisu and tversky loss function K Roth, T Konopczyński, J Hesser arXiv preprint arXiv:1905.03639, 2019 | 11 | 2019 |
Instance segmentation of densely packed cells using a hybrid model of U-net and mask R-CNN T Konopczyński, R Heiman, P Woźnicki, P Gniewek, MC Duvernoy, ... Artificial Intelligence and Soft Computing: 19th International Conference …, 2020 | 10 | 2020 |
Relative pointing offset analysis of calibration targets with repeated observations with Herschel-SPIRE Fourier-transform spectrometer I Valtchanov, R Hopwood, E Polehampton, D Benielli, T Fulton, P Imhof, ... Experimental Astronomy 37, 207-223, 2014 | 10 | 2014 |
Investigation on tomographic-based nondestructive characterization of short glass fiber-reinforced composites as obtained from micro injection molding JS Rathore, T Konopczyński, J Hesser, G Lucchetta, S Carmignato Journal of Nondestructive Evaluation, Diagnostics and Prognostics of …, 2020 | 7 | 2020 |
Plugin networks for inference under partial evidence M Koperski, T Konopczynski, R Nowak, P Semberecki, T Trzcinski Proceedings of the IEEE/CVF Winter Conference on Applications of Computer …, 2020 | 6 | 2020 |
The liver tumor segmentation benchmark (LiTS). 1–43 P Bilic, PF Christ, E Vorontsov, G Chlebus, H Chen, Q Dou, CW Fu, X Han, ... arXiv preprint arXiv:1901.04056, 2019 | 6 | 2019 |
Mask mining for improved liver lesion segmentation K Roth, J Hesser, T Konopczyński 2020 IEEE 17th International Symposium on Biomedical Imaging (ISBI), 943-947, 2020 | 5 | 2020 |
The liver tumor segmentation benchmark (lits). CoRR abs/1901.04056 (2019) P Bilic, PF Christ, E Vorontsov, G Chlebus, H Chen, Q Dou, C Fu, X Han, ... arXiv preprint arXiv:1901.04056, 1901 | 5 | 1901 |
Automated multiscale 3D feature learning for vessels segmentation in Thorax CT images T Konopczyński, T Kröger, L Zheng, CS Garbe, J Hesser 2016 IEEE Nuclear Science Symposium, Medical Imaging Conference and Room …, 2016 | 4 | 2016 |
Coronary ostia localization using residual U-Net with heatmap matching and 3D DSNT M Gajowczyk, P Rygiel, P Grodek, A Korbecki, M Sobanski, P Podgorski, ... International Workshop on Machine Learning in Medical Imaging, 318-327, 2022 | 3 | 2022 |
Boosting Liver and Lesion Segmentation from CT Scans by Mask Mining K Roth, J Hesser, T Konopczynski arXiv [Preprint], 2019 | 3 | 2019 |
Selected applications of scale spaces in microscopic image analysis D Prodanov, T Konopczynski, M Trojnar Cybernetics and Information Technologies 15 (7), 5-12, 2015 | 3 | 2015 |
CenterlinePointNet++: A New Point Cloud Based Architecture for Coronary Artery Pressure Drop and vFFR Estimation P Rygiel, P Płuszka, M Ziȩba, T Konopczyński International Conference on Medical Image Computing and Computer-Assisted …, 2023 | 1 | 2023 |
Eigenvector grouping for point cloud vessel labeling P Rygiel, M Zieba, T Konopczynski Geometric Deep Learning in Medical Image Analysis, 72-84, 2022 | 1 | 2022 |