Riccardo RACITI

My work lies at the intersection of machine learning, deep learning, and medical imaging, where I develop advanced AI models to enhance medical image analysis. I focus on creating and optimizing deep learning architectures to improve the accuracy and efficiency of disease detection, diagnosis, and treatment planning.

I work with various medical imaging modalities, including MRI, CT scans, and ultrasound, aiming to build models that are not only accurate but also interpretable, robust, and generalizable to real-world clinical data. 

• Riccardo Raciti, Alessia Rondinella, Lemuel Puglisi, Francesco Guarnera, Daniele

  Ravì, Sebastiano Battiato; Efficient Atrophy Mapping: A Single-Step U-net Approach

  for Rapid Brain Change Estimation; MetroXRAIN; 2024;