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Tomasz Konopczyński
Tomasz Konopczyński
Verified email at iwr.uni-heidelberg.de
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Year
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
9112023
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
262020
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
182019
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
182019
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
182017
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
112019
Liver lesion segmentation with slice-wise 2d tiramisu and tversky loss function
K Roth, T Konopczyński, J Hesser
arXiv preprint arXiv:1905.03639, 2019
112019
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
102020
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
102014
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
72020
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
62020
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
52020
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
51901
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
42016
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
32022
Boosting Liver and Lesion Segmentation from CT Scans by Mask Mining
K Roth, J Hesser, T Konopczynski
arXiv [Preprint], 2019
32019
Selected applications of scale spaces in microscopic image analysis
D Prodanov, T Konopczynski, M Trojnar
Cybernetics and Information Technologies 15 (7), 5-12, 2015
32015
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
22019
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
12023
Eigenvector grouping for point cloud vessel labeling
P Rygiel, M Zieba, T Konopczynski
Geometric Deep Learning in Medical Image Analysis, 72-84, 2022
12022
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