Visual systems for enhanced awareness in surgical robotics and medical AI
Researcher @ NEARLab, Politecnico di Milano · Milan, Italy
I develop deep learning and computer vision systems for surgical robotics and medical imaging, from intraoperative perception to surgical training, explainability, and 3D scene understanding.
✨ UnReflectAnything
RGB-only specular highlight removal by rendering synthetic specular supervisionSynthetic Data Image-to-Image PyTorch
🎥 SCALE-EM
Self-supervised embeddings for endoscopic scene matchingContrastive Learning Endoscopy PyTorch
🔊 MESA
Adnexal mass segmentation in ultrasound imagesDINOv2 Segmentation Ultrasound
🤖 STEVE
VR haptic-enhanced training curriculum for surgical roboticsUnity C# da Vinci Research Kit
🔍 UnderXAI-OVIT
Explainable AI decision support for ovarian cancer treatmentXAI Medical Imaging PyTorch
🩸 μVES
3D topological and morphological analysis of microvascular networksMATLAB Microfluidics 3D Imaging


