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Camila González
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2020 – today
- 2024
- [c19]Frederik Hake, Simon Schneider, Nikolaos Theofanopoulos, Camila González, Poey Sie Chuah, Michael Grohs, Jana-Rebecca Rehse:
CauseCheck: A Tool for Simulating Deviations in Event Logs with Known Root Causes. ICPM Doctoral Consortium / Demo 2024 - [c18]Magdalini Paschali, Yu Hang Jiang, Spencer Siegel, Camila González, Kilian M. Pohl, Akshay Chaudhari, Qingyu Zhao:
Spectral Graph Sample Weighting for Interpretable Sub-cohort Analysis in Predictive Models for Neuroimaging. PRIME@MICCAI 2024: 24-34 - [c17]Nick Lemke, Camila González, Anirban Mukhopadhyay, Martin Mundt:
Distribution-Aware Replay for Continual MRI Segmentation. AIPAD/PILM@MICCAI 2024: 73-85 - [c16]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: 7548-7557 - [i18]Chih-Ying Liu, Jeya Maria Jose Valanarasu, Camila González, Curtis P. Langlotz, Andrew Y. Ng, Sergios Gatidis:
Unlocking Robust Segmentation Across All Age Groups via Continual Learning. CoRR abs/2404.13185 (2024) - [i17]Nick Lemke, Camila González, Anirban Mukhopadhyay, Martin Mundt:
Distribution-Aware Replay for Continual MRI Segmentation. CoRR abs/2407.21216 (2024) - [i16]Magdalini Paschali, Yu Hang Jiang, Spencer Siegel, Camila González, Kilian M. Pohl, Akshay Chaudhari, Qingyu Zhao:
Spectral Graph Sample Weighting for Interpretable Sub-cohort Analysis in Predictive Models for Neuroimaging. CoRR abs/2410.00946 (2024) - [i15]Camila González, Yanis Miraoui, Yiran Fan, Ehsan Adeli, Kilian M. Pohl:
SpaRG: Sparsely Reconstructed Graphs for Generalizable fMRI Analysis. CoRR abs/2410.07201 (2024) - 2023
- [b1]Camila González:
Lifelong Learning in the Clinical Open World. Technical University of Darmstadt, Germany, 2023 - [j2]Camila González, César A. Astudillo
, Xaviera A. López-Cortés
Semi-supervised learning for MALDI-TOF mass spectrometry data classification: an application in the salmon industry. Neural Comput. Appl. 35(13): 9381-9391 (2023) - [c15]John Kalkhof
Med-NCA: Robust and Lightweight Segmentation with Neural Cellular Automata. IPMI 2023: 705-716 - [i14]John Kalkhof, Camila González, Anirban Mukhopadhyay:
Med-NCA: Robust and Lightweight Segmentation with Neural Cellular Automata. CoRR abs/2302.03473 (2023) - [i13]Niklas Babendererde, Moritz Fuchs
Jointly Exploring Client Drift and Catastrophic Forgetting in Dynamic Learning. CoRR abs/2309.00688 (2023) - [i12]Amin Ranem, Camila González, Daniel Pinto dos Santos, Andreas M. Bucher, Ahmed E. Othman, Anirban Mukhopadhyay:
Continual atlas-based segmentation of prostate MRI. CoRR abs/2311.00548 (2023) - 2022
- [j1]Camila González
Distance-based detection of out-of-distribution silent failures for Covid-19 lung lesion segmentation. Medical Image Anal. 82: 102596 (2022) - [c14]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: 38-43 - [c13]Amin Ranem, Camila González, Anirban Mukhopadhyay:
Continual Hippocampus Segmentation with Transformers. CVPR Workshops 2022: 3710-3719 - [c12]Hendrik Alexander Mehrtens
Improving Robustness and Calibration in Ensembles with Diversity Regularization. GCPR 2022: 36-50 - [c11]John Kalkhof, Camila González, Anirban Mukhopadhyay:
Disentanglement Enables Cross-Domain Hippocampus Segmentation. ISBI 2022: 1-5 - [c10]Camila González
Task-Agnostic Continual Hippocampus Segmentation for Smooth Population Shifts. DART@MICCAI 2022: 108-118 - [c9]Moritz Fuchs
Practical uncertainty quantification for brain tumor segmentation. MIDL 2022: 407-422 - [c8]Karol Gotkowski
i3Deep: Efficient 3D interactive segmentation with the nnU-Net. MIDL 2022: 441-456 - [i11]John Kalkhof, Camila González, Anirban Mukhopadhyay:
Disentanglement enables cross-domain Hippocampus Segmentation. CoRR abs/2201.05650 (2022) - [i10]Hendrik Alexander Mehrtens, Camila González, Anirban Mukhopadhyay:
Improving robustness and calibration in ensembles with diversity regularization. CoRR abs/2201.10908 (2022) - [i9]Amin Ranem, Camila González, Anirban Mukhopadhyay:
Continual Hippocampus Segmentation with Transformers. CoRR abs/2204.08043 (2022) - [i8]Camila González, Amin Ranem, Ahmed E. Othman, Anirban Mukhopadhyay:
Task-agnostic Continual Hippocampus Segmentation for Smooth Population Shifts. CoRR abs/2208.03206 (2022) - [i7]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 abs/2208.03217 (2022) - 2021
- [c7]Karol Gotkowski
M3d-CAM - A PyTorch Library to Generate 3D Attention Maps for Medical Deep Learning. Bildverarbeitung für die Medizin 2021: 217-222 - [c6]Antoine Sanner
How Reliable Are Out-of-Distribution Generalization Methods for Medical Image Segmentation? GCPR 2021: 604-617 - [c5]Xaviera A. López-Cortés, César A. Astudillo, Camila González, Sebastián Maldonado:
Semi-supervised learning for MS MALDI-TOF data. LA-CCI 2021: 1-4 - [c4]Marius Memmel, Camila González, Anirban Mukhopadhyay:
Adversarial Continual Learning for Multi-domain Hippocampal Segmentation. DART/FAIR@MICCAI 2021: 35-45 - [c3]Camila González
Detecting When Pre-trained nnU-Net Models Fail Silently for Covid-19 Lung Lesion Segmentation. MICCAI (7) 2021: 304-314 - [c2]Camila González, Anirban Mukhopadhyay:
Self-supervised Out-of-distribution Detection for Cardiac CMR Segmentation. MIDL 2021: 205-218 - [i6]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 abs/2107.05975 (2021) - [i5]Marius Memmel, Camila González, Anirban Mukhopadhyay:
Adversarial Continual Learning for Multi-Domain Hippocampal Segmentation. CoRR abs/2107.08751 (2021) - [i4]Antoine Sanner, Camila González, Anirban Mukhopadhyay:
How Reliable Are Out-of-Distribution Generalization Methods for Medical Image Segmentation? CoRR abs/2109.01668 (2021) - [i3]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 abs/2112.08974 (2021) - 2020
- [i2]Karol Gotkowski, Camila González, Andreas Bucher, Anirban Mukhopadhyay:
M3d-CAM: A PyTorch library to generate 3D data attention maps for medical deep learning. CoRR abs/2007.00453 (2020) - [i1]Camila González, Georgios Sakas, Anirban Mukhopadhyay:
What is Wrong with Continual Learning in Medical Image Segmentation? CoRR abs/2010.11008 (2020)
2010 – 2019
- 2017
- [c1]Camila González
Re-training Deep Neural Networks to Facilitate Boolean Concept Extraction. DS 2017: 127-143
Coauthor Index
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