Lorenzo Tronchin

According to our database, Lorenzo Tronchin authored at least 9 papers between 2021 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Multi-Scale Texture Loss for CT denoising with GANs.

Francesco Di Feola, Lorenzo Tronchin, Valerio Guarrasi, Paolo Soda

CoRR, 2024

Translating Image XAI to Multivariate Time Series.

Lorenzo Tronchin, Ermanno Cordelli, Lorenzo Ricciardi Celsi, Daniele Maccagnola, Massimo Natale, Paolo Soda, Rosa Sicilia

IEEE Access, 2024

2023

LatentAugment: Data Augmentation via Guided Manipulation of GAN's Latent Space.

Lorenzo Tronchin, Minh H. Vu, Paolo Soda, Tommy Löfstedt

CoRR, 2023

Building an AI-Enabled Metaverse for Intelligent Healthcare: Opportunities and Challenges.

Valerio Guarrasi, Lorenzo Tronchin, Camillo Maria Caruso, Aurora Rofena, Guido Manni, Fatih Aksu, Domenico Paolo, Giulio Iannello, Rosa Sicilia, Ermanno Cordelli, Paolo Soda

Proceedings of the Italia Intelligenza Artificiale, 2023

Making AI trustworthy in multimodal and healthcare scenarios.

Ermanno Cordelli, Valerio Guarrasi, Giulio Iannello, Filippo Ruffini, Rosa Sicilia, Paolo Soda, Lorenzo Tronchin

Proceedings of the Italia Intelligenza Artificiale, 2023

A Comparative Study Between Paired And Unpaired Image Quality Assessment In Low-Dose CT Denoising.

Francesco Di Feola, Lorenzo Tronchin, Paolo Soda

Proceedings of the 36th IEEE International Symposium on Computer-Based Medical Systems, 2023

2022

Multimodal Explainability via Latent Shift applied to COVID-19 stratification.

Valerio Guarrasi, Lorenzo Tronchin, Domenico Albano, Eliodoro Faiella, Deborah Fazzini, Domiziana Santucci, Paolo Soda

CoRR, 2022

2021

Evaluating GANs in Medical Imaging.

Lorenzo Tronchin, Rosa Sicilia, Ermanno Cordelli, Sara Ramella, Paolo Soda

Proceedings of the Deep Generative Models, and Data Augmentation, Labelling, and Imperfections, 2021

Explainable AI for Car Crash Detection using Multivariate Time Series.

Lorenzo Tronchin, Rosa Sicilia, Ermanno Cordelli, Lorenzo Ricciardi Celsi, Daniele Maccagnola, Massimo Natale, Paolo Soda

Proceedings of the 20th IEEE International Conference on Cognitive Informatics & Cognitive Computing, 2021