Camila González

According to our database, Camila González authored at least 28 papers between 2017 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Regulating radiology AI medical devices that evolve in their lifecycle.

Camila González, Moritz Fuchs, Daniel Pinto dos Santos, Philipp Matthies, Manuel Trenz, Maximilian Grüning, Akshay Chaudhari, David B. Larson, Ahmed E. Othman, Moon Kim, Felix Nensa, Anirban Mukhopadhyay

CoRR, 2024

Unlocking Robust Segmentation Across All Age Groups via Continual Learning.

Chih-Ying Liu, Jeya Maria Jose Valanarasu, Camila González, Curtis P. Langlotz, Andrew Y. Ng, Sergios Gatidis

CoRR, 2024

Continual atlas-based segmentation of prostate MRI.

Amin Ranem, Camila González, Daniel Pinto dos Santos, Andreas M. Bucher, Ahmed E. Othman, Anirban Mukhopadhyay

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2024

Spectral Graph Sample Weighting for Interpretable Sub-cohort Analysis in Predictive Models for Neuroimaging.

Magdalini Paschali, Yu Hang Jiang, Spencer Siegel, Camila González, Kilian M. Pohl, Akshay Chaudhari, Qingyu Zhao

Proceedings of the Predictive Intelligence in Medicine - 7th International Workshop, 2024

Distribution-Aware Replay for Continual MRI Segmentation.

Nick Lemke, Camila González, Anirban Mukhopadhyay, Martin Mundt

Proceedings of the Artificial Intelligence in Pancreatic Disease Detection and Diagnosis, and Personalized Incremental Learning in Medicine, 2024

SpaRG: Sparsely Reconstructed Graphs for Generalizable fMRI Analysis.

Camila González, Yanis Miraoui, Yiran Fan, Ehsan Adeli-Mosabbeb, Kilian M. Pohl

Proceedings of the Machine Learning in Clinical Neuroimaging - 7th International Workshop, 2024

CauseCheck: A Tool for Simulating Deviations in Event Logs with Known Root Causes.

Frederik Hake, Simon Schneider, Nikolaos Theofanopoulos, Camila González, Poey Sie Chuah, Michael Grohs, Jana-Rebecca Rehse

Proceedings of the Doctoral Consortium and Demo Track 2024 at the International Conference on Process Mining 2024 co-located with the 6th International Conference on Process Mining (ICPM 2024), 2024

2023

Semi-supervised learning for MALDI-TOF mass spectrometry data classification: an application in the salmon industry.

Camila González, César A. Astudillo, Xaviera A. López-Cortés, Sebastián Maldonado

Neural Comput. Appl., May, 2023

Lifelong Learning in the Clinical Open World.

Camila González

PhD thesis, 2023

Jointly Exploring Client Drift and Catastrophic Forgetting in Dynamic Learning.

Niklas Babendererde, Moritz Fuchs, Camila González, Yuri Tolkach, Anirban Mukhopadhyay

CoRR, 2023

Med-NCA: Robust and Lightweight Segmentation with Neural Cellular Automata.

John Kalkhof, Camila González, Anirban Mukhopadhyay

Proceedings of the Information Processing in Medical Imaging, 2023

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, Ricarda Fischbach, Isabel J. Kaltenborn, Anirban Mukhopadhyay

Medical Image Anal., 2022

i3Deep: Efficient 3D interactive segmentation with the nnU-Net.

Karol Gotkowski, Camila González, Isabel Kaltenborn, Ricarda Fischbach, Andreas Bucher, Anirban Mukhopadhyay

Proceedings of the International Conference on Medical Imaging with Deep Learning, 2022

Practical uncertainty quantification for brain tumor segmentation.

Moritz Fuchs, Camila González, Anirban Mukhopadhyay

Proceedings of the International Conference on Medical Imaging with Deep Learning, 2022

Task-Agnostic Continual Hippocampus Segmentation for Smooth Population Shifts.

Camila González, Amin Ranem, Ahmed E. Othman, Anirban Mukhopadhyay

Proceedings of the Domain Adaptation and Representation Transfer - 4th MICCAI Workshop, 2022

Disentanglement Enables Cross-Domain Hippocampus Segmentation.

John Kalkhof, Camila González, Anirban Mukhopadhyay

Proceedings of the 19th IEEE International Symposium on Biomedical Imaging, 2022

Improving Robustness and Calibration in Ensembles with Diversity Regularization.

Hendrik Alexander Mehrtens, Camila González, Anirban Mukhopadhyay

Proceedings of the Pattern Recognition, 2022

Continual Hippocampus Segmentation with Transformers.

Amin Ranem, Camila González, Anirban Mukhopadhyay

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, 2022

Quality Monitoring of Federated Covid-19 Lesion Segmentation.

Camila González, Christian L. Harder, Amin Ranem, Ricarda Fischbach, Isabel J. Kaltenborn, Armin Dadras, Andreas M. Bucher, Anirban Mukhopadhyay

Proceedings of the Bildverarbeitung für die Medizin 2022, 2022

2021

Self-supervised Out-of-distribution Detection for Cardiac CMR Segmentation.

Camila González, Anirban Mukhopadhyay

Proceedings of the Medical Imaging with Deep Learning, 7-9 July 2021, Lübeck, Germany., 2021

Adversarial Continual Learning for Multi-domain Hippocampal Segmentation.

Marius Memmel, Camila González, Anirban Mukhopadhyay

Proceedings of the Domain Adaptation and Representation Transfer, and Affordable Healthcare and AI for Resource Diverse Global Health, 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

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021

Semi-supervised learning for MS MALDI-TOF data.

Xaviera A. López-Cortés, César A. Astudillo, Camila González, Sebastián Maldonado

Proceedings of the IEEE Latin American Conference on Computational Intelligence, 2021

How Reliable Are Out-of-Distribution Generalization Methods for Medical Image Segmentation?

Antoine Sanner, Camila González, Anirban Mukhopadhyay

Proceedings of the Pattern Recognition - 43rd DAGM German Conference, DAGM GCPR 2021, Bonn, Germany, September 28, 2021

M3d-CAM - A PyTorch Library to Generate 3D Attention Maps for Medical Deep Learning.

Karol Gotkowski, Camila González, Andreas Bucher, Anirban Mukhopadhyay

Proceedings of the Bildverarbeitung für die Medizin 2021, 2021

2020

What is Wrong with Continual Learning in Medical Image Segmentation?

Camila González, Georgios Sakas, Anirban Mukhopadhyay

CoRR, 2020

M3d-CAM: A PyTorch library to generate 3D data attention maps for medical deep learning.

Karol Gotkowski, Camila González, Andreas Bucher, Anirban Mukhopadhyay

CoRR, 2020

2017

Re-training Deep Neural Networks to Facilitate Boolean Concept Extraction.

Camila González, Eneldo Loza Mencía, Johannes Fürnkranz

Proceedings of the Discovery Science - 20th International Conference, 2017