Tomasz K. Konopczynski

According to our database1, Tomasz K. Konopczynski authored at least 17 papers between 2018 and 2023.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Article 
PhD thesis 
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Links

On csauthors.net:

Bibliography

2023
The Liver Tumor Segmentation Benchmark (LiTS).
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Medical Image Anal., 2023

CenterlinePointNet++: A New Point Cloud Based Architecture for Coronary Artery Pressure Drop and vFFR Estimation.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023

2022
Coronary Ostia Localization Using Residual U-Net with Heatmap Matching and 3D DSNT.
Proceedings of the Machine Learning in Medical Imaging - 13th International Workshop, 2022

Eigenvector Grouping for Point Cloud Vessel Labeling.
Proceedings of the Geometric Deep Learning in Medical Image Analysis, 2022

2021
Deep Learning Segmentation Algorithms for X-ray CT data.
PhD thesis, 2021

2020
Plugin Networks for Inference under Partial Evidence.
Proceedings of the IEEE Winter Conference on Applications of Computer Vision, 2020

Mask Mining for Improved Liver Lesion Segmentation.
Proceedings of the 17th IEEE International Symposium on Biomedical Imaging, 2020

Instance Segmentation of Densely Packed Cells Using a Hybrid Model of U-Net and Mask R-CNN.
Proceedings of the Artificial Intelligence and Soft Computing, 2020

2019
Boosting Liver and Lesion Segmentation from CT Scans By Mask Mining.
CoRR, 2019

Liver Lesion Segmentation with slice-wise 2D Tiramisu and Tversky loss function.
CoRR, 2019

The Liver Tumor Segmentation Benchmark (LiTS).
CoRR, 2019

Automated Multiscale 3D Feature Learning for Vessels Segmentation in Thorax CT Images.
CoRR, 2019

Fully Convolutional Deep Network Architectures for Automatic Short Glass Fiber Semantic Segmentation from CT scans.
CoRR, 2019

Reference Setup for Quantitative Comparison of Segmentation Techniques for Short Glass Fiber CT Data.
CoRR, 2019

Plugin Networks for Inference under Partial Evidence.
CoRR, 2019

Deep Convolutional Encoder-Decoder Framework for Fetal ECG Signal Denoising.
Proceedings of the 46th Computing in Cardiology, 2019

2018
Instance Segmentation of Fibers from Low Resolution CT Scans via 3D Deep Embedding Learning.
Proceedings of the British Machine Vision Conference 2018, 2018


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