Karol Gotkowski

According to our database, Karol Gotkowski authored at least 9 papers between 2020 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Embarrassingly Simple Scribble Supervision for 3D Medical Segmentation.

Karol Gotkowski, Carsten T. Lüth, Paul F. Jäger, Sebastian Ziegler, Lars Krämer, Stefan Denner, Shuhan Xiao, Nico Disch, Klaus H. Maier-Hein, Fabian Isensee

CoRR, 2024

2023

[Work in progress] Scalable, out-of-the box segmentation of individual particles from mineral samples acquired with micro CT.

Karol Gotkowski, Shuvam Gupta, Jose R. A. Godinho, Camila G. S. Tochtrop, Klaus H. Maier-Hein, Fabian Isensee

CoRR, 2023

2022

Distance-based detection of out-of-distribution silent failures for Covid-19 lung lesion segmentation.

Camila González, Karol Gotkowski, Moritz Fuchs, Andreas Bucher, Armin Dadras, Ricarda Fischbach, Isabel J. Kaltenborn, Anirban Mukhopadhyay

Medical Image Anal., 2022

i3Deep: Efficient 3D interactive segmentation with the nnU-Net.

Karol Gotkowski, Camila González, Isabel Kaltenborn, Ricarda Fischbach, Andreas Bucher, Anirban Mukhopadhyay

Proceedings of the International Conference on Medical Imaging with Deep Learning, 2022

NoiseSeg: An image splicing localization fusion CNN with noise extraction and error level analysis branches.

Karol Gotkowski, Huajian Liu, Martin Steinebach

Proceedings of the Media Watermarking, 2022

2021

Detecting When Pre-trained nnU-Net Models Fail Silently for Covid-19 Lung Lesion Segmentation.

Camila González, Karol Gotkowski, Andreas Bucher, Ricarda Fischbach, Isabel Kaltenborn, Anirban Mukhopadhyay

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021

M3d-CAM - A PyTorch Library to Generate 3D Attention Maps for Medical Deep Learning.

Karol Gotkowski, Camila González, Andreas Bucher, Anirban Mukhopadhyay

Proceedings of the Bildverarbeitung für die Medizin 2021, 2021

2020

Fake News Detection by Image Montage Recognition.

Martin Steinebach, Huajian Liu, Karol Gotkowski

J. Cyber Secur. Mobil., 2020

M3d-CAM: A PyTorch library to generate 3D data attention maps for medical deep learning.

Karol Gotkowski, Camila González, Andreas Bucher, Anirban Mukhopadhyay

CoRR, 2020