About me
I am an Associate Professor (Maître de Conférences) at IMT Mines Alès. My research focuses on AI-driven multimodal learning for biomedical applications. Previously, I was a researcher at LaTIM (UMR 1101 INSERM, Brest, France), where I worked on applying AI to medical imaging and computational modeling.
I hold a Ph.D. in Biomedical Engineering from Universidad Politécnica de Madrid, an M.Sc. in Systems and Services Engineering for the Information Society from the same institution, and a Bachelor's degree from Universidad Politécnica del Litoral, Guayaquil, Ecuador.
My expertise lies in image processing, computer vision, and deep learning, with a particular focus on biomarker extraction from physiological and pathological processes. I explore multimodal learning and foundational models to advance oncology and clinical decision support. A key aspect of my work is enhancing AI model interpretability and explainability, ensuring their practical application in real-world clinical settings.
📰 News!
June 2025:
🏆 3rd Prize Winner in the PINKCC Challenge
🔗 IMT Mines Alès News | 💼 LinkedIn Post
📄 Paper Alert
June 2025: Our article Towards More Reliable Prostate Cancer Detection: Incorporating Clinical Data and Uncertainty in MRI Deep Learning has now been published in Computers in Biology and Medicine 🎉
Congrats to Kamilia for this great work!!!
🔗 Journal Paper: Read on ScienceDirect
January 2025: Three papers have been accepted to ISBI 2025 🎉
- Advancing treatment response assessment of hepatic metastases using AI-driven volumetric analysis
- Instance-aware deep learning for liver metastasis segmentation
- PI-RADS inspired architecture: A new deep learning approach to detect clinically significant prostate cancer on MRI
Congrats to Marwan and Kamilia!!!
January 2025: Our dataset paper "GIRAFE: Glottal Imaging Dataset for Advanced Segmentation, Analysis, and Facilitative Playbacks Evaluation" has been accepted in Data in Brief
🔗 GitHub Repository: GIRAFE
🔗 Journal Paper: Read on ScienceDirect