Helena Montenegro

According to our database, Helena Montenegro authored at least 9 papers between 2021 and 2024.

Collaborative distances:

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

2024

Anonymizing medical case-based explanations through disentanglement.

Helena Montenegro, Jaime S. Cardoso

Medical Image Anal., 2024

Reproducing Asymmetries Caused by Breast Cancer Treatment in Pre-Operative Breast Images.

Nuno Freitas, Helena Montenegro, Maria João Cardoso, Jaime S. Cardoso

Proceedings of the IEEE International Symposium on Biomedical Imaging, 2024

2023

Detecting Concepts and Generating Captions from Medical Images: Contributions of the VCMI Team to ImageCLEFmedical Caption 2023.

Isabel Rio-Torto, Cristiano Patrício, Helena Montenegro, Tiago Gonçalves, Jaime S. Cardoso

Proceedings of the Working Notes of the Conference and Labs of the Evaluation Forum (CLEF 2023), 2023

Evaluating Privacy on Synthetic Images Generated using GANs: Contributions of the VCMI Team to ImageCLEFmedical GANs 2023.

Helena Montenegro, Pedro C. Neto, Cristiano Patrício, Isabel Rio-Torto, Tiago Gonçalves, Luís F. Teixeira

Proceedings of the Working Notes of the Conference and Labs of the Evaluation Forum (CLEF 2023), 2023

2022

Privacy-Preserving Case-Based Explanations: Enabling Visual Interpretability by Protecting Privacy.

Helena Montenegro, Wilson Silva, Alex Gaudio, Matt Fredrikson, Asim Smailagic, Jaime S. Cardoso

IEEE Access, 2022

Disentangled Representation Learning for Privacy-Preserving Case-Based Explanations.

Helena Montenegro, Wilson Silva, Jaime S. Cardoso

Proceedings of the Medical Applications with Disentanglements - First MICCAI Workshop, 2022

Detecting Concepts and Generating Captions from Medical Images: Contributions of the VCMI Team to ImageCLEFmedical 2022 Caption.

Isabel Rio-Torto, Cristiano Patrício, Helena Montenegro, Tiago Gonçalves

Proceedings of the Working Notes of CLEF 2022 - Conference and Labs of the Evaluation Forum, Bologna, Italy, September 5th - to, 2022

2021

Towards Privacy-preserving Explanations in Medical Image Analysis.

Helena Montenegro, Wilson Silva, Jaime S. Cardoso

CoRR, 2021

Privacy-Preserving Generative Adversarial Network for Case-Based Explainability in Medical Image Analysis.

Helena Montenegro, Wilson Silva, Jaime S. Cardoso

IEEE Access, 2021