Camila González
Cited by
Cited by
GaNDLF: the generally nuanced deep learning framework for scalable end-to-end clinical workflows
S Pati, SP Thakur, İE Hamamcı, U Baid, B Baheti, M Bhalerao, O Güley, ...
Communications Engineering 2 (1), 23, 2023
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
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
What is wrong with continual learning in medical image segmentation?
C Gonzalez, N Lemke, G Sakas, A Mukhopadhyay
arXiv preprint arXiv:2010.11008, 2020
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
Adversarial continual learning for multi-domain hippocampal segmentation
M Memmel, C Gonzalez, A Mukhopadhyay
Domain Adaptation and Representation Transfer, and Affordable Healthcare and …, 2021
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
Continual hippocampus segmentation with transformers
A Ranem, C González, A Mukhopadhyay
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022
Re-training deep neural networks to facilitate Boolean concept extraction
C González, E Loza Mencía, J Fürnkranz
Discovery Science: 20th International Conference, DS 2017, Kyoto, Japan …, 2017
Practical uncertainty quantification for brain tumor segmentation
M Fuchs, C Gonzalez, A Mukhopadhyay
Medical Imaging with Deep Learning, 2021
Lifelong nnU-Net: a framework for standardized medical continual learning
C González, A Ranem, D Pinto dos Santos, A Othman, A Mukhopadhyay
Scientific Reports 13 (1), 9381, 2023
Self-supervised out-of-distribution detection for cardiac CMR segmentation
C Gonzalez, A Mukhopadhyay
Medical Imaging with Deep Learning, 205-218, 2021
Med-nca: Robust and lightweight segmentation with neural cellular automata
J Kalkhof, C González, A Mukhopadhyay
International Conference on Information Processing in Medical Imaging, 705-716, 2023
Improving robustness and calibration in ensembles with diversity regularization
HA Mehrtens, C González, A Mukhopadhyay
DAGM German Conference on Pattern Recognition, 36-50, 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
i3Deep: Efficient 3D interactive segmentation with the nnU-Net
K Gotkowski, C Gonzalez, I Kaltenborn, R Fischbach, A Bucher, ...
International Conference on Medical Imaging with Deep Learning, 441-456, 2022
Jointly Exploring Client Drift and Catastrophic Forgetting in Dynamic Learning
N Babendererde, M Fuchs, C Gonzalez, Y Tolkach, A Mukhopadhyay
arXiv preprint arXiv:2309.00688, 2023
Disentanglement enables cross-domain hippocampus segmentation
J Kalkhof, C González, A Mukhopadhyay
2022 IEEE 19th International Symposium on Biomedical Imaging (ISBI), 1-5, 2022
Closing the loop for AI-ready radiology
M Fuchs, C Gonzalez, Y Frisch, P Hahn, P Matthies, M Gruening, ...
RöFo-Fortschritte auf dem Gebiet der Röntgenstrahlen und der bildgebenden …, 2023
Continual atlas-based segmentation of prostate MRI
A Ranem, C González, DP dos Santos, AM Bucher, AE Othman, ...
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer …, 2024
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