Re-training Deep Neural Networks to Facilitate Boolean Concept Extraction. - Camila González; Eneldo Loza Mencía; Johannes Fürnkranz (DS, 2017)

M3d-CAM: A PyTorch library to generate 3D data attention maps for medical deep learning. - Karol Gotkowski; Camila González; Andreas Bucher; Anirban Mukhopadhyay 003 (CoRR, 2020)

What is Wrong with Continual Learning in Medical Image Segmentation? - Camila González; Georgios Sakas; Anirban Mukhopadhyay 003 (CoRR, 2020)

M3d-CAM - A PyTorch Library to Generate 3D Attention Maps for Medical Deep Learning. - Karol Gotkowski; Camila González; Andreas Bucher; Anirban Mukhopadhyay 003 (Bildverarbeitung für die Medizin, 2021)

How Reliable Are Out-of-Distribution Generalization Methods for Medical Image Segmentation? - Antoine Sanner; Camila González; Anirban Mukhopadhyay 003 (GCPR, 2021)

Semi-supervised learning for MS MALDI-TOF data. - Xaviera A. López-Cortés; César A. Astudillo; Camila González; Sebastián Maldonado (LA-CCI, 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 003 (MICCAI (7), 2021)

Adversarial Continual Learning for Multi-domain Hippocampal Segmentation. - Marius Memmel; Camila González; Anirban Mukhopadhyay 003 (DART/FAIR@MICCAI, 2021)

Self-supervised Out-of-distribution Detection for Cardiac CMR Segmentation. - Camila González; Anirban Mukhopadhyay 003 (MIDL, 2021)

Quality Monitoring of Federated Covid-19 Lesion Segmentation. - Camila González; Christian L. Harder; Amin Ranem; Ricarda Fischbach; Isabel J. Kaltenborn; Armin Dadras 002; Andreas M. Bucher; Anirban Mukhopadhyay 003 (Bildverarbeitung für die Medizin, 2022)

Continual Hippocampus Segmentation with Transformers. - Amin Ranem; Camila González; Anirban Mukhopadhyay 003 (CVPR Workshops, 2022)

Improving Robustness and Calibration in Ensembles with Diversity Regularization. - Hendrik Alexander Mehrtens; Camila González; Anirban Mukhopadhyay 003 (GCPR, 2022)

Disentanglement Enables Cross-Domain Hippocampus Segmentation. - John Kalkhof; Camila González; Anirban Mukhopadhyay 003 (ISBI, 2022)

Task-Agnostic Continual Hippocampus Segmentation for Smooth Population Shifts. - Camila González; Amin Ranem; Ahmed E. Othman; Anirban Mukhopadhyay 003 (DART@MICCAI, 2022)

Practical uncertainty quantification for brain tumor segmentation. - Moritz Fuchs; Camila González; Anirban Mukhopadhyay 003 (MIDL, 2022)

i3Deep: Efficient 3D interactive segmentation with the nnU-Net. - Karol Gotkowski; Camila González; Isabel Kaltenborn; Ricarda Fischbach; Andreas Bucher; Anirban Mukhopadhyay 003 (MIDL, 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 002; Ricarda Fischbach; Isabel J. Kaltenborn; Anirban Mukhopadhyay 003 (Medical Image Anal., 2022)

Med-NCA: Robust and Lightweight Segmentation with Neural Cellular Automata. - John Kalkhof; Camila González; Anirban Mukhopadhyay 003 (IPMI, 2023)

Jointly Exploring Client Drift and Catastrophic Forgetting in Dynamic Learning. - Niklas Babendererde; Moritz Fuchs; Camila González; Yuri Tolkach; Anirban Mukhopadhyay 003 (CoRR, 2023)

Lifelong Learning in the Clinical Open World. - Camila González (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., 2023)

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 (ICPM Doctoral Consortium / Demo, 2024)

SpaRG: Sparsely Reconstructed Graphs for Generalizable fMRI Analysis. - Camila González; Yanis Miraoui; Yiran Fan; Ehsan Adeli-Mosabbeb; Kilian M. Pohl (MLCN@MICCAI, 2024)

Distribution-Aware Replay for Continual MRI Segmentation. - Nick Lemke; Camila González; Anirban Mukhopadhyay 003; Martin Mundt (AIPAD/PILM@MICCAI, 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 (PRIME@MICCAI, 2024)

Continual atlas-based segmentation of prostate MRI. - Amin Ranem; Camila González; Daniel Pinto dos Santos; Andreas M. Bucher; Ahmed E. Othman; Anirban Mukhopadhyay 003 (WACV, 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)

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 002; Felix Nensa; Anirban Mukhopadhyay 003 (CoRR, 2024)

In the Picture: Medical Imaging Datasets, Artifacts, and their Living Review. - Amelia Jiménez-Sánchez; Natalia Rozalia Avlona; Sarah de Boer; Víctor M. Campello; Aasa Feragen; Enzo Ferrante; Melanie Ganz; Judy Wawira Gichoya; Camila González; Steff Groefsema; Alessa Hering; Adam Hulman; et al. (FAccT, 2025)

Automated Real-time Assessment of Intracranial Hemorrhage Detection AI Using an Ensembled Monitoring Model (EMM). - Zhongnan Fang; Andrew Johnston; Lina Cheuy; Hye Sun Na; Magdalini Paschali; Camila González; Bonnie A. Armstrong; Arogya Koirala; Derrick Laurel; Andrew Campion; Michael Iv; Akshay S. Chaudhari; et al. (CoRR, 2025)

Confounder-Free Continual Learning via Recursive Feature Normalization. - Yash Shah; Camila González; Mohammad Hasan Abbasi; Qingyu Zhao; Kilian M. Pohl; Ehsan Adeli 001 (CoRR, 2025)