Wilson Silva

Wilson Silva #

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Research Interest #

Development of AI models for multi-center trials and prospective validation (generalizability, privacy, and explainable AI). Leading the research line in AI for multi-center data.

Education #

Work experience #

Selected Publications #

(Full list on Google Scholar)

Silva et al. “Computer-aided diagnosis through medical image retrieval in radiology”. Nature Scientific Reports (2022)

Montenegro et al. “Disentangled Representation Learning for Privacy-preserving Case-based Explanations”. Workshop on Medical Applications with Disentanglements at (MICCAI 2022)

Montenegro et al. “Privacy-preserving Case-based Explanations: Enabling Visual Interpretability by Protecting Privacy”. IEEE Access (2022)

Montenegro et al. “Privacy-Preserving Generative Adversarial Network for Case-Based Explainability in Medical Image Analysis”. IEEE Access (2021)

Silva et al. “Interpretability-Guided Content-Based Medical Image Retrieval”. International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI 2020)

Silva et al. “Towards Complementary Explanations Using Deep Neural Networks”. Workshop on Interpretability of Machine Intelligence in Medical Image Computing at (MICCAI 2018)

Cardoso et al. “Evolution, current challenges, and future possibilities in the objective assessment of aesthetic outcome of breast cancer locoregional treatment”. The Breast (2020)

Supervised PhD students, past and present #

PhD in Artificial Intelligence (Maastricht University) #

  • Valentina Corbetta is working to improve the multi-center generalizability of segmentation and classification algorithms in the context of treatment outcome prediction.
  • Daan Boeke is exploring AI in the context of immune micro-environment characterization and treatment response prediction.

Supervised MSc students, past and present #

MSc in Artificial Intelligence (VU Amsterdam) #

  • Melanie Groeneveld ongoing
  • Laura Latorre ongoing

MSc in Bioengineering (University of Porto) #

  • Daniel Silva ongoing
  • Isabela Miranda ongoing
  • Tiago Goncalves “Deep Aesthetic Assessment of Breast Cancer Surgery Outcomes” MSc Thesis
  • Maria Carvalho “Towards Biometrically-morphed Medical Case-based Explanations” MSc Thesis

MSc in Informatics and Computer Engineering (University of Porto) #

  • Helena Montenegro “A privacy-preserving framework for case-based interpretability in machine learning” MSc Thesis, CTM best Master’s Thesis award, APRP best Master’s Thesis award

MSc in Biomedical Engineering (University of Porto) #

  • Diogo Mata “Biomedical multimodal explanations – increasing diversity and complementarity in Explainable Artificial Intelligence”, CTM best Master’s Thesis award

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