Speeding Up Resting State Networks Recognition via a Hardware Accelerator. - Filippo Carloni; Giada Casagrande; Valentina Corbetta; Andrea Agostinelli; Emanuele Del Sozzo; Luca Cerina; Marco D. Santambrogio (BHI, 2019)

Optimized 3D path planner for steerable catheters with deductive reasoning. - Alice Segato; Valentina Corbetta; Jessica Zangari; Simona Perri; Francesco Calimeri; Elena De Momi (ICRA, 2021)

An Easy and User Independent Augmented Reality Based Navigation System for Radiation-Free Interventional Procedure. - Maria Chiara Palumbo; Laura Morchi; Valentina Corbetta; Arianna Menciassi; Elena De Momi; Emiliano Votta; Alberto Redaelli (ISMR, 2022)

A hybrid inductive learning-based and deductive reasoning-based 3-D path planning method in complex environments. - Alice Segato; Francesco Calimeri; Irene Testa; Valentina Corbetta; Marco Riva; Elena De Momi (Auton. Robots, 2022)

Interpretability-Guided Data Augmentation for Robust Segmentation in Multi-centre Colonoscopy Data. - Valentina Corbetta; Regina Beets-Tan; Wilson Silva (MLMI@MICCAI (1), 2023)

Assessing the Impact of Federated Learning and Differential Privacy on Multi-centre Polyp Segmentation. - Lena Stelter; Valentina Corbetta; Regina Beets-Tan; Wilson Silva (EMBC, 2024)

Enhancing Cross-Modal Medical Image Segmentation Through Compositionality. - Aniek Eijpe; Valentina Corbetta; Kalina Chupetlovska; Regina Beets-Tan; Wilson Silva (DGM4MICCAI@MICCAI, 2024)

FedGS: Federated Gradient Scaling for Heterogeneous Medical Image Segmentation. - Philip Schutte; Valentina Corbetta; Regina Beets-Tan; Wilson Silva (ISIC/iMIMIC/EARTH/DeCaF@MICCAI, 2024)

In-hoc Concept Representations to Regularise Deep Learning in Medical Imaging. - Valentina Corbetta; Floris Six Dijkstra; Regina Beets-Tan; Hoel Kervadec; Kristoffer Wickstrøm; Wilson Silva (CoRR, 2025)