Camila González

Publication Activity (10 Years)

Years Active: 2017-2024
Publications (10 Years): 33

Top Topics

Lesion Segmentation

Mass Spectrometry

Interactive Segmentation

Top Venues

Bildverarbeitung für die Medizin

Publications

Amin Ranem, Camila González, Daniel Pinto dos Santos, Andreas M. Bucher, Ahmed E. Othman, Anirban Mukhopadhyay
Continual atlas-based segmentation of prostate MRI. WACV (2024)
Nick Lemke, Camila González, Anirban Mukhopadhyay, Martin Mundt
Distribution-Aware Replay for Continual MRI Segmentation. CoRR (2024)
John Kalkhof, Camila González, Anirban Mukhopadhyay
Med-NCA: Robust and Lightweight Segmentation with Neural Cellular Automata. CoRR (2023)
Amin Ranem, Camila González, Daniel Pinto dos Santos, Andreas M. Bucher, Ahmed E. Othman, Anirban Mukhopadhyay
Continual atlas-based segmentation of prostate MRI. CoRR (2023)
Niklas Babendererde, Moritz Fuchs, Camila González, Yuri Tolkach, Anirban Mukhopadhyay
Jointly Exploring Client Drift and Catastrophic Forgetting in Dynamic Learning. CoRR (2023)
Camila González, César A. Astudillo, Xaviera A. López-Cortés, Sebastián Maldonado
Semi-supervised learning for MALDI-TOF mass spectrometry data classification: an application in the salmon industry. Neural Comput. Appl. 35 (13) (2023)
John Kalkhof, Camila González, Anirban Mukhopadhyay
Med-NCA: Robust and Lightweight Segmentation with Neural Cellular Automata. IPMI (2023)
Hendrik Alexander Mehrtens, Camila González, Anirban Mukhopadhyay
Improving robustness and calibration in ensembles with diversity regularization. CoRR (2022)
Camila González, Christian L. Harder, Amin Ranem, Ricarda Fischbach, Isabel J. Kaltenborn, Armin Dadras, Andreas M. Bucher, Anirban Mukhopadhyay
Quality Monitoring of Federated Covid-19 Lesion Segmentation. Bildverarbeitung für die Medizin (2022)
Camila González, Karol Gotkowski, Moritz Fuchs, Andreas Bucher, Armin Dadras, Ricarda Fischbach, Isabel Kaltenborn, Anirban Mukhopadhyay
Distance-based detection of out-of-distribution silent failures for Covid-19 lung lesion segmentation. CoRR (2022)
Moritz Fuchs, Camila González, Anirban Mukhopadhyay
Practical uncertainty quantification for brain tumor segmentation. MIDL (2022)
Amin Ranem, Camila González, Anirban Mukhopadhyay
Continual Hippocampus Segmentation with Transformers. CVPR Workshops (2022)
Karol Gotkowski, Camila González, Isabel Kaltenborn, Ricarda Fischbach, Andreas Bucher, Anirban Mukhopadhyay
i3Deep: Efficient 3D interactive segmentation with the nnU-Net. MIDL (2022)
Camila González, Amin Ranem, Ahmed Othman, Anirban Mukhopadhyay
Task-Agnostic Continual Hippocampus Segmentation for Smooth Population Shifts. DART@MICCAI (2022)
Camila González, Amin Ranem, Ahmed Othman, Anirban Mukhopadhyay
Task-agnostic Continual Hippocampus Segmentation for Smooth Population Shifts. CoRR (2022)
Camila González, Karol Gotkowski, Moritz Fuchs, Andreas Bucher, Armin Dadras, Ricarda Fischbach, Isabel J. Kaltenborn, Anirban Mukhopadhyay
Distance-based detection of out-of-distribution silent failures for Covid-19 lung lesion segmentation. Medical Image Anal. 82 (2022)
John Kalkhof, Camila González, Anirban Mukhopadhyay
Disentanglement Enables Cross-Domain Hippocampus Segmentation. ISBI (2022)
John Kalkhof, Camila González, Anirban Mukhopadhyay
Disentanglement enables cross-domain Hippocampus Segmentation. CoRR (2022)
Hendrik Alexander Mehrtens, Camila González, Anirban Mukhopadhyay
Improving Robustness and Calibration in Ensembles with Diversity Regularization. GCPR (2022)
Amin Ranem, Camila González, Anirban Mukhopadhyay
Continual Hippocampus Segmentation with Transformers. CoRR (2022)
Camila González, Christian Harder, Amin Ranem, Ricarda Fischbach, Isabel Kaltenborn, Armin Dadras, Andreas Bucher, Anirban Mukhopadhyay
Quality monitoring of federated Covid-19 lesion segmentation. CoRR (2021)
Camila González, Anirban Mukhopadhyay
Self-supervised Out-of-distribution Detection for Cardiac CMR Segmentation. MIDL (2021)
Antoine Sanner, Camila González, Anirban Mukhopadhyay
How Reliable Are Out-of-Distribution Generalization Methods for Medical Image Segmentation? GCPR (2021)
Karol Gotkowski, Camila González, Andreas Bucher, Anirban Mukhopadhyay
M3d-CAM - A PyTorch Library to Generate 3D Attention Maps for Medical Deep Learning. Bildverarbeitung für die Medizin (2021)
Antoine Sanner, Camila González, Anirban Mukhopadhyay
How Reliable Are Out-of-Distribution Generalization Methods for Medical Image Segmentation? CoRR (2021)
Camila González, Karol Gotkowski, Andreas Bucher, Ricarda Fischbach, Isabel Kaltenborn, Anirban Mukhopadhyay
Detecting when pre-trained nnU-Net models fail silently for Covid-19 lung lesion segmentation. CoRR (2021)
Marius Memmel, Camila González, Anirban Mukhopadhyay
Adversarial Continual Learning for Multi-Domain Hippocampal Segmentation. CoRR (2021)
Xaviera A. López-Cortés, César A. Astudillo, Camila González, Sebastián Maldonado
Semi-supervised learning for MS MALDI-TOF data. LA-CCI (2021)
Marius Memmel, Camila González, Anirban Mukhopadhyay
Adversarial Continual Learning for Multi-domain Hippocampal Segmentation. DART/FAIR@MICCAI (2021)
Camila González, Karol Gotkowski, Andreas Bucher, Ricarda Fischbach, Isabel Kaltenborn, Anirban Mukhopadhyay
Detecting When Pre-trained nnU-Net Models Fail Silently for Covid-19 Lung Lesion Segmentation. MICCAI (7) (2021)
Camila González, Georgios Sakas, Anirban Mukhopadhyay
What is Wrong with Continual Learning in Medical Image Segmentation? CoRR (2020)
Karol Gotkowski, Camila González, Andreas Bucher, Anirban Mukhopadhyay
M3d-CAM: A PyTorch library to generate 3D data attention maps for medical deep learning. CoRR (2020)
Camila González, Eneldo Loza Mencía, Johannes Fürnkranz
Re-training Deep Neural Networks to Facilitate Boolean Concept Extraction. DS (2017)