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Karol Gotkowski
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Detecting when pre-trained nnu-net models fail silently for covid-19 lung lesion segmentation
C Gonzalez, K Gotkowski, A Bucher, R Fischbach, I Kaltenborn, ...
International Conference on Medical Image Computing and Computer-Assisted …, 2021
132021
Fake news detection by image montage recognition
M Steinebach, K Gotkowski, H Liu
Proceedings of the 14th International Conference on Availability …, 2019
102019
M3d-CAM: A PyTorch library to generate 3D data attention maps for medical deep learning
K Gotkowski, C Gonzalez, A Bucher, A Mukhopadhyay
arXiv preprint arXiv:2007.00453, 2020
92020
Gandlf: A generally nuanced deep learning framework for scalable end-to-end clinical workflows in medical imaging
S Pati, SP Thakur, M Bhalerao, S Thermos, U Baid, K Gotkowski, ...
arXiv preprint arXiv:2103.01006, 2021
82021
M3d-CAM
K Gotkowski, C Gonzalez, A Bucher, A Mukhopadhyay
Bildverarbeitung für die Medizin 2021, 217-222, 2021
32021
Distance-based detection of out-of-distribution silent failures for Covid-19 lung lesion segmentation
C González, K Gotkowski, M Fuchs, A Bucher, A Dadras, R Fischbach, ...
Medical image analysis 82, 102596, 2022
2022
NoiseSeg: An image splicing localization fusion CNN with noise extraction and error level analysis branches
K Gotkowski, H Liu, M Steinebach
Electronic Imaging 34, 1-7, 2022
2022
i3Deep: Efficient 3D interactive segmentation with the nnU-Net
K Gotkowski, C Gonzalez, IJ Kaltenborn, R Fischbach, A Bucher, ...
Medical Imaging with Deep Learning, 2021
2021
Detecting when pre-trained nnU-Net models fail silently for Covid-19
C Gonzalez, K Gotkowski, A Bucher, R Fischbach, I Kaltenborn, ...
2021
Detecting when pre-trained nnU-Net models fail silently for Covid-19 (preprint)
C Gonzalez, K Gotkowski, A Bucher, R Fischbach, I Kaltenborn, ...
3 Approach
M Steinebach, K Gotkowski, H Liu
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