Instance Segmentation of Fibers from Low Resolution CT Scans via 3D Deep Embedding Learning. - Tomasz K. Konopczynski; Thorben Kröger; Lei Zheng; Jürgen Hesser (BMVC, 2018)

Deep Convolutional Encoder-Decoder Framework for Fetal ECG Signal Denoising. - Eleni Fotiadou; Tomasz K. Konopczynski; Jürgen Hesser; Rik Vullings (CinC, 2019)

Plugin Networks for Inference under Partial Evidence. - Michal Koperski; Tomasz K. Konopczynski; Piotr Semberecki; Tomasz Trzcinski (CoRR, 2019)

Reference Setup for Quantitative Comparison of Segmentation Techniques for Short Glass Fiber CT Data. - Tomasz K. Konopczynski; Jitendra Rathore; Thorben Kröger; Lei Zheng; Christoph S. Garbe; Simone Carmignato; Jürgen Hesser (CoRR, 2019)

Fully Convolutional Deep Network Architectures for Automatic Short Glass Fiber Semantic Segmentation from CT scans. - Tomasz K. Konopczynski; Danish Rathore; Jitendra Rathore; Thorben Kröger; Lei Zheng; Christoph S. Garbe; Simone Carmignato; Jürgen Hesser (CoRR, 2019)

Automated Multiscale 3D Feature Learning for Vessels Segmentation in Thorax CT Images. - Tomasz K. Konopczynski; Thorben Kröger; Lei Zheng; Christoph S. Garbe; Jürgen Hesser (CoRR, 2019)

The Liver Tumor Segmentation Benchmark (LiTS). - Patrick Bilic; Patrick Ferdinand Christ; Eugene Vorontsov; Grzegorz Chlebus; Hao Chen 011; Qi Dou 001; Chi-Wing Fu; Xiao Han; Pheng-Ann Heng; Jürgen Hesser; Samuel Kadoury; Tomasz K. Konopczynski; et al. (CoRR, 2019)

Liver Lesion Segmentation with slice-wise 2D Tiramisu and Tversky loss function. - Karsten Roth; Tomasz K. Konopczynski; Jürgen Hesser (CoRR, 2019)

Boosting Liver and Lesion Segmentation from CT Scans By Mask Mining. - Karsten Roth; Jürgen Hesser; Tomasz K. Konopczynski (CoRR, 2019)

Instance Segmentation of Densely Packed Cells Using a Hybrid Model of U-Net and Mask R-CNN. - Tomasz K. Konopczynski; Ron Heiman; Piotr Woznicki; Pawel Gniewek; Marie-Cécilia Duvernoy; Oskar Hallatschek; Jürgen Hesser (ICAISC (1), 2020)

Mask Mining for Improved Liver Lesion Segmentation. - Karsten Roth; Jürgen Hesser; Tomasz K. Konopczynski (ISBI, 2020)

Plugin Networks for Inference under Partial Evidence. - Michal Koperski; Tomasz K. Konopczynski; Rafal Nowak; Piotr Semberecki; Tomasz Trzcinski (WACV, 2020)

Deep Learning Segmentation Algorithms for X-ray CT data. - Tomasz K. Konopczynski (2021)

Eigenvector Grouping for Point Cloud Vessel Labeling. - Patryk Rygiel; Maciej Zieba; Tomasz K. Konopczynski (GeoMedIA, 2022)

Coronary Ostia Localization Using Residual U-Net with Heatmap Matching and 3D DSNT. - Milosz Gajowczyk; Patryk Rygiel; Piotr Grodek; Adrian Korbecki; Michal Sobanski; Przemyslaw Podgórski; Tomasz K. Konopczynski (MLMI@MICCAI, 2022)

CenterlinePointNet++: A New Point Cloud Based Architecture for Coronary Artery Pressure Drop and vFFR Estimation. - Patryk Rygiel; Pawel Pluszka; Maciej Zieba; Tomasz K. Konopczynski (MICCAI (7), 2023)

The Liver Tumor Segmentation Benchmark (LiTS). - Patrick Bilic; Patrick Ferdinand Christ; Hongwei Li 004; Eugene Vorontsov; Avi Ben-Cohen; Georgios Kaissis; Adi Szeskin; Colin Jacobs; Gabriel Efrain Humpire Mamani; Gabriel Chartrand; Fabian Lohöfer; Julian Walter Holch; et al. (Medical Image Anal., 2023)