Tomasz Konopczyński
Tomasz Konopczyński
Verified email at iwr.uni-heidelberg.de
Title
Cited by
Cited by
Year
The liver tumor segmentation benchmark (lits)
P Bilic, PF Christ, E Vorontsov, G Chlebus, H Chen, Q Dou, CW Fu, X Han, ...
arXiv preprint arXiv:1901.04056, 2019
2052019
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
122019
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
112017
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
102019
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 (2), 207-223, 2014
102014
Liver lesion segmentation with slice-wise 2d tiramisu and tversky loss function
K Roth, T Konopczyński, J Hesser
arXiv preprint arXiv:1905.03639, 2019
72019
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
62020
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
52019
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
42020
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
22015
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
12020
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
12020
Investigation on tomographic based NDT characterization of short glass fiber reinforced composites as obtained from micro injection molding
JS Rathore, T Konopczyński, J Hesser, G Lucchetta, S Carmignato
12020
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 …, 2019
12019
Deep Learning Segmentation Algorithms for X-ray CT data
TK Konopczynski
2021
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, ...
International Conference on Artificial Intelligence and Soft Computing, 626-635, 2020
2020
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