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Camila González
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M3d-CAM: A PyTorch Library to Generate 3D Attention Maps for Medical Deep Learning
K Gotkowski, C Gonzalez, A Bucher, A Mukhopadhyay
Bildverarbeitung für die Medizin 2021, 217-222, 2021
152021
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, ...
Medical Image Computing and Computer Assisted Intervention – MICCAI 2021 12907, 2021
142021
Re-training deep neural networks to facilitate Boolean concept extraction
C González, E Loza Mencía, J Fürnkranz
International Conference on Discovery Science, 127-143, 2017
122017
Adversarial continual learning for multi-domain hippocampal segmentation
M Memmel, C Gonzalez, A Mukhopadhyay
Domain Adaptation and Representation Transfer, and Affordable Healthcare and …, 2021
92021
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
92021
What is Wrong with Continual Learning in Medical Image Segmentation?
C Gonzalez, G Sakas, A Mukhopadhyay
arXiv preprint arXiv:2010.11008, 2020
82020
Self-supervised Out-of-distribution Detection for Cardiac CMR Segmentation
C Gonzalez, A Mukhopadhyay
Medical Imaging with Deep Learning, 205-218, 2021
42021
How Reliable Are Out-of-Distribution Generalization Methods for Medical Image Segmentation?
A Sanner, C Gonzalez, A Mukhopadhyay
German Conference for Pattern Recognition 2021 13024, 604--617, 2021
32021
Disentanglement enables cross-domain Hippocampus Segmentation
J Kalkhof, C González, A Mukhopadhyay
2022 IEEE 19th International Symposium on Biomedical Imaging (ISBI), 1-5, 2022
12022
Continual Hippocampus Segmentation with Transformers
A Ranem, C González, A Mukhopadhyay
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022
12022
Practical uncertainty quantification for brain tumor segmentation
M Fuchs, C Gonzalez, A Mukhopadhyay
Medical Imaging with Deep Learning, 2021
12021
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
Lifelong nnUNet: a framework for standardized medical continual learning
C Gonzalez, A Ranem, DP dos Santos, A Othman, A Mukhopadhyay
2022
Improving robustness and calibration in ensembles with diversity regularization
HA Mehrtens, C González, A Mukhopadhyay
arXiv preprint arXiv:2201.10908, 2022
2022
Task-Agnostic Continual Hippocampus Segmentation for Smooth Population Shifts
C González, A Ranem, A Othman, A Mukhopadhyay
MICCAI Workshop on Domain Adaptation and Representation Transfer, 108-118, 2022
2022
Quality monitoring of federated Covid-19 lesion segmentation
C González, CL Harder, A Ranem, R Fischbach, IJ Kaltenborn, A Dadras, ...
Bildverarbeitung für die Medizin 2022, 38-43, 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
Continual Learning in Diagnostic Radiology: Scenarios, Challenges and Perspectives
C Gonzalez, A Mukhopadhyay
EuSoMII Annual Meeting 2020: How to prepare for the digital age, 6, 2020
2020
Detecting when pre-trained nnU-Net models fail silently for Covid-19 (preprint)
C Gonzalez, K Gotkowski, A Bucher, R Fischbach, I Kaltenborn, ...
Quality monitoring of federated Covid-19 lesion segmentation (preprint)
C Gonzalez, C Harder, A Ranem, R Fischbach, I Kaltenborn, A Dadras, ...
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Articles 1–20