Rutger Hendrix - PeRCeiVe.AI Lab - Team Members
About Me
Rutger Hendrix is a Ph.D. candidate following the National Italian PhD program organized by UCBM, working under the guidance of Prof. Concetto Spampinato, Dr. Federica Proietto Salanitri, and Prof. Ulas Bagci. His research focuses on Federated Explainable AI, where he aims to integrate visual interpretability and uncertainty measures into the Federated Learning framework. His goal is to bridge the gap between AI and clinical applications, helping physicians trust AI-based systems in their practice. Rutger became a medical engineer at Eindhoven University of Technology, where he specialized in medical image analysis and laid the foundations for his current research directions.
PhD Students
Papers
Projects

2025 - Conditional Visuo-Textual Prompt Learning for Medical Image Analysis

Raffaele Mineo, Giovanni Bellitto, Federica Proietto Salanitri, Rutger Hendrix, Ulas Bagci, Daniela Giordano, Concetto Spampinato, Simone Palazzo

2025 - Gaze-Guided Medical Image Segmentation: A Training-Free Approach using SAM Foundation Model

Giulia Potgens, Rutger Hendrix, Cian Scannell, Ulas Bagci, Concetto Spampinato, Federica Proietto Salanitri

2025 - Pre-Forgettable Models: Prompt Learning as a Native Mechanism for Unlearning

Rutger Hendrix, Giovanni Patanè, Leonardo G Russo, Simone Carnemolla, Federica Proietto Salanitri, Giovanni Bellitto, Concetto Spampinato, Matteo Pennisi

2025 - Learning Joint Text and Visual Tokens in CLIP for Medical Image Analysis

Raffaele Mineo, Giovanni Bellitto, Federica Proietto Salanitri, Rutger Hendrix, Concetto Spampinato, Simone Palazzo

2024 - Evidential Federated Learning for Skin Lesion Image Classification

Rutger Hendrix, Federica Proietto Salanitri, Concetto Spampinato, Simone Palazzo, Ulas Bagci
No Projects found.