Lorenzo Tronchin

According to our database, Lorenzo Tronchin authored at least 18 papers between 2021 and 2026.

Collaborative distances:

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

2026

ACGM: Attribute-Centric Graph Modeling Network for Concurrent Missing Tabular Data Imputation and COVID-19 Prognosis.

Zhuoru Wu, Wenting Chen, Xuechen Li, Filippo Ruffini, Shaonan Liu, Lorenzo Tronchin, Domenico Albano, Eliodoro Faiella, Deborah Fazzini, Domiziana Santucci, Xiaoling Luo, Valerio Guarrasi, Paolo Soda, Linlin Shen

IEEE J. Biomed. Health Informatics, April, 2026

Beyond a single mode: GAN ensembles for diverse medical data generation.

Lorenzo Tronchin, Tommy Löfstedt, Paolo Soda, Valerio Guarrasi

Comput. Methods Programs Biomed., 2026

2025

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

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

IEEE Trans. Pattern Anal. Mach. Intell., December, 2025

Beyond the Generative Learning Trilemma: Generative Model Assessment in Data Scarcity Domains.

Marco Salmè, Lorenzo Tronchin, Rosa Sicilia, Paolo Soda, Valerio Guarrasi

CoRR, April, 2025

Using Synthetic Images to Augment Small Medical Image Datasets.

Minh H. Vu, Lorenzo Tronchin, Tufve Nyholm, Tommy Löfstedt

CoRR, March, 2025

From Promise to Practice: A Study of Common Pitfalls Behind the Generalization Gap in Machine Learning.

Saeideh Ghanbari Azar, Lorenzo Tronchin, Attila Simkó, Tufve Nyholm, Tommy Löfstedt

Trans. Mach. Learn. Res., 2025

Multi-scale texture loss for CT denoising with GANs.

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

AI Open, 2025

Whole-Body Image-to-Image Translation for a Virtual Scanner in a Healthcare Digital Twin.

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

Proceedings of the 38th IEEE International Symposium on Computer-Based Medical Systems, 2025

2024

Multimodal explainability via latent shift applied to COVID-19 stratification.

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

Pattern Recognit., 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

Multi-Dataset Multi-Task Learning for COVID-19 Prognosis.

Filippo Ruffini, Lorenzo Tronchin, Zhuoru Wu, Wenting Chen, Paolo Soda, Linlin Shen, Valerio Guarrasi

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2024, 2024

Virtual Scanner: Leveraging Resilient Generative AI for Radiological Imaging in the Era of Medical Digital Twins.

Carolina Adornato, Cecilia Assolito, Ermanno Cordelli, Francesco Di Feola, Valerio Guarrasi, Giulio Iannello, Lorenzo Marcoccia, Elena Mulero Ayllon, Rebecca Restivo, Aurora Rofena, Rosa Sicilia, Paolo Soda, Matteo Tortora, Lorenzo Tronchin

Proceedings of the Ital-IA Intelligenza Artificiale, 2024

Benchmarking GAN-Based vs Classical Data Augmentation on Biomedical Images.

Massimiliano Mantegna, Lorenzo Tronchin, Matteo Tortora, Paolo Soda

Proceedings of the Pattern Recognition. ICPR 2024 International Workshops and Challenges, 2024

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

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