Karol Gotkowski

14 papers B 1Journal 8Unranked 5
YearRankTypeTitle / Venue / Authors
2025 J jnl
Benchmark of Segmentation Techniques for Pelvic Fracture in CT and X-ray: Summary of the PENGWIN 2024 Challenge.
CoRR
Yudi Sang, Yanzhen Liu, Sutuke Yibulayimu, Yunning Wang, Benjamin D. Killeen, Mingxu Liu, Ping-Cheng Ku, Ole Johannsen, Karol Gotkowski, Maximilian Zenk, Klaus H. Maier-Hein, Fabian Isensee, Peiyan Yue, Yi Wang, Haidong Yu, Zhaohong Pan, Yutong He, XiaoKun Liang, Daiqi Liu, Fuxin Fan, Artur Jurgas, Andrzej Skalski, Yuxi Ma, Jing Yang, Szymon Plotka, Rafal Litka, Gang Zhu, Yingchun Song, Mathias Unberath, Mehran Armand, Dan Ruan, S. Kevin Zhou, Qiyong Cao, Chunpeng Zhao, Xinbao Wu, Yu Wang
2025 — conf
Revisiting 3D Medical Scribble Supervision: Benchmarking Beyond Cardiac Segmentation.
MICCAI (8)
Karol Gotkowski, Klaus H. Maier-Hein, Fabian Isensee
2024 J jnl
Embarrassingly Simple Scribble Supervision for 3D Medical Segmentation.
CoRR
Karol Gotkowski, Carsten T. Lüth, Paul F. Jäger, Sebastian Ziegler, Lars Krämer, Stefan Denner, Shuhan Xiao, Nico Disch, Klaus H. Maier-Hein, Fabian Isensee
2023 J jnl
[Work in progress] Scalable, out-of-the box segmentation of individual particles from mineral samples acquired with micro CT.
CoRR
Karol Gotkowski, Shuvam Gupta, Jose R. A. Godinho, Camila G. S. Tochtrop, Klaus H. Maier-Hein, Fabian Isensee
2022 J jnl
Distance-based detection of out-of-distribution silent failures for Covid-19 lung lesion segmentation.
CoRR
Camila González, Karol Gotkowski, Moritz Fuchs, Andreas Bucher, Armin Dadras, Ricarda Fischbach, Isabel Kaltenborn, Anirban Mukhopadhyay
2022 J jnl
Distance-based detection of out-of-distribution silent failures for Covid-19 lung lesion segmentation.
Medical Image Anal.
Camila González, Karol Gotkowski, Moritz Fuchs, Andreas Bucher, Armin Dadras, Ricarda Fischbach, Isabel J. Kaltenborn, Anirban Mukhopadhyay
2022 — conf
NoiseSeg: An image splicing localization fusion CNN with noise extraction and error level analysis branches.
Media Watermarking, Security, and Forensics
Karol Gotkowski, Huajian Liu, Martin Steinebach
2022 — conf
i3Deep: Efficient 3D interactive segmentation with the nnU-Net.
MIDL
Karol Gotkowski, Camila González, Isabel Kaltenborn, Ricarda Fischbach, Andreas Bucher, Anirban Mukhopadhyay
2021 — conf
Detecting When Pre-trained nnU-Net Models Fail Silently for Covid-19 Lung Lesion Segmentation.
MICCAI (7)
Camila González, Karol Gotkowski, Andreas Bucher, Ricarda Fischbach, Isabel Kaltenborn, Anirban Mukhopadhyay
2021 J jnl
Detecting when pre-trained nnU-Net models fail silently for Covid-19 lung lesion segmentation.
CoRR
Camila González, Karol Gotkowski, Andreas Bucher, Ricarda Fischbach, Isabel Kaltenborn, Anirban Mukhopadhyay
2021 — conf
M3d-CAM - A PyTorch Library to Generate 3D Attention Maps for Medical Deep Learning.
Bildverarbeitung für die Medizin
Karol Gotkowski, Camila González, Andreas Bucher, Anirban Mukhopadhyay
2020 J jnl
Fake News Detection by Image Montage Recognition.
J. Cyber Secur. Mobil.
Martin Steinebach, Huajian Liu, Karol Gotkowski
2020 J jnl
M3d-CAM: A PyTorch library to generate 3D data attention maps for medical deep learning.
CoRR
Karol Gotkowski, Camila González, Andreas Bucher, Anirban Mukhopadhyay
2019 B conf
Fake News Detection by Image Montage Recognition.
ARES
Martin Steinebach, Karol Gotkowski, Huajian Liu