Multimodal Explainability via Latent Shift applied to COVID-19 stratification

28 December 2022

Papers citing "Multimodal Explainability via Latent Shift applied to COVID-19 stratification"

5 / 5 papers shown

Title
Lesion-Aware Generative Artificial Intelligence for Virtual Contrast-Enhanced Mammography in Breast Cancer Aurora Rofena Arianna Manchia C. Piccolo B. Zobel Paolo Soda V. Guarrasi MedIm 39 0 0 05 May 2025
Multimodal Doctor-in-the-Loop: A Clinically-Guided Explainable Framework for Predicting Pathological Response in Non-Small Cell Lung Cancer Alice Natalina Caragliano Claudia Tacconi Carlo Greco Lorenzo Nibid E. Ippolito Michele Fiore G. Perrone Sara Ramella Paolo Soda V. Guarrasi 26 0 0 02 May 2025
Any-to-Any Vision-Language Model for Multimodal X-ray Imaging and Radiological Report Generation Daniele Molino Francesco Di Feola Linlin Shen Paolo Soda V. Guarrasi MedIm LM&MA 67 0 0 02 May 2025
Evaluating Vision Language Model Adaptations for Radiology Report Generation in Low-Resource Languages Marco Salmè R. Sicilia Paolo Soda V. Guarrasi 136 0 0 02 May 2025
A graph neural network-based model with Out-of-Distribution Robustness for enhancing Antiretroviral Therapy Outcome Prediction for HIV-1 Giulia Di Teodoro F. Siciliano V. Guarrasi A. Vandamme Valeria Ghisetti Anders Sönnerborg Maurizio Zazzi Fabrizio Silvestri L. Palagi 64 8 0 24 Feb 2025