M3d-CAM: A PyTorch library to generate 3D data attention maps for medical deep learning. - Karol Gotkowski; Camila González; Andreas Bucher; Anirban Mukhopadhyay 003 (CoRR, 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 Attention Maps for Medical Deep Learning. - Karol Gotkowski; Camila González; Andreas Bucher; Anirban Mukhopadhyay 003 (Bildverarbeitung für die Medizin, 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 003 (MICCAI (7), 2021)

NoiseSeg: An image splicing localization fusion CNN with noise extraction and error level analysis branches. - Karol Gotkowski; Huajian Liu; Martin Steinebach (Media Watermarking, Security, and Forensics, 2022)

i3Deep: Efficient 3D interactive segmentation with the nnU-Net. - Karol Gotkowski; Camila González; Isabel Kaltenborn; Ricarda Fischbach; Andreas Bucher; Anirban Mukhopadhyay 003 (MIDL, 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 002; Ricarda Fischbach; Isabel J. Kaltenborn; Anirban Mukhopadhyay 003 (Medical Image Anal., 2022)

[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)

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)

Benchmark of Segmentation Techniques for Pelvic Fracture in CT and X-ray: Summary of the PENGWIN 2024 Challenge. - 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; et al. (CoRR, 2025)