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Maria A. Zuluaga

Professor

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I am a senior lecturer at EURECOM with an affiliate position within the School of Biomedical Engineering & Imaging Sciences at King’s College London (Visiting Senior Lecturer). Previous to these, I had a brief experience as an industrial researcher and I was a Senior Research Associate at University College London.

I obtained my BSc in Electronics Engineering and MSc in Computer Science at Universidad del Valle and Universidad de los Andes, respectively, in Colombia. I hold a PhD in Signal and Image Processing from Université de Lyon.

Within my research team, we focus on the development of novel machine learning methods from multi-modal data that can be safely used to advance healthcare research and improve clinical practice. From an application standpoint, we aim to answer questions coming from neurovascular and cardiovascular imaging, as well as cancer research.was awarded an ERC Consolidator Grant in 2024.


Maria’s Selected Publications

Federated Multi-centric Image Segmentation with Uneven Label Distribution
Francesco Galati, Rosa Cortese, Ferran Prados, Marco Lorenzi, Maria A. Zuluaga
Medical Image Computing and Computer Assisted Intervention - MICCAI 2024 - 27th International Conference, Marrakesh, Morocco, October 6-10, 2024, Proceedings, Part X (2024)

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Improved Prediction of Recurrence After Prostate Cancer Radiotherapy Using Multimodal Data and in Silico simulations
Valentin Septiers, Carlos Sosa Marrero, Renaud de Crevoisier, Aurelien Briens, Hilda Chourak, Maria A. Zuluaga, Oscar Acosta
Cancer Prevention, Detection, and Intervention - Third MICCAI Workshop, CaPTion 2024, Held in Conjunction with MICCAI 2024, Marrakesh, Morocco, October 6, 2024, Proceedings (2024)

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Differentiable Soft Morphological Filters for Medical Image Segmentation
Lisa Guzzi, Maria A. Zuluaga, Fabien Lareyre, Gilles Di Lorenzo, Sebastien Goffart, Andrea Chierici, Juliette Raffort, Herve Delingette
Medical Image Computing and Computer Assisted Intervention - MICCAI 2024 - 27th International Conference, Marrakesh, Morocco, October 6-10, 2024, Proceedings, Part VIII (2024)

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StressID: a Multimodal Dataset for Stress Identification

StressID: a Multimodal Dataset for Stress Identification
Hava Chaptoukaev, Valeriya Strizhkova, Michele Panariello, Bianca Dalpaos, Aglind Reka, Valeria Manera, Susanne Thummler, Esma Ismailova, Nicholas W. D. Evans, Franccois Bremond, Massimiliano Todisco, Maria A. Zuluaga, Laura M. Ferrari
Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, NeurIPS 2023, New Orleans, LA, USA, December 10 - 16, 2023 (2023)

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