Multimodal Explainability via Latent Shift applied to COVID-19
stratification

Multimodal Explainability via Latent Shift applied to COVID-19 stratification

28 December 2022

Domenico Albano

Deborah Fazzini

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

11 / 11 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 42 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 139 0 0 02 May 2025
Whole-Body Image-to-Image Translation for a Virtual Scanner in a Healthcare Digital Twin V. Guarrasi Francesco Di Feola Rebecca Restivo L. Tronchin Paolo Soda MedIm 34 0 0 18 Mar 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
Multi-stage intermediate fusion for multimodal learning to classify non-small cell lung cancer subtypes from CT and PET Fatih Aksu Fabrizia Gelardi Arturo Chiti Paolo Soda 24 0 0 21 Jan 2025
Class Balancing Diversity Multimodal Ensemble for Alzheimer's Disease Diagnosis and Early Detection Arianna Francesconi Lazzaro di Biase Donato Cappetta Fabio Rebecchi Paolo Soda R. Sicilia V. Guarrasi 21 2 0 14 Oct 2024
A Systematic Review of Intermediate Fusion in Multimodal Deep Learning for Biomedical Applications V. Guarrasi Fatih Aksu Camillo Maria Caruso Francesco Di Feola Aurora Rofena Filippo Ruffini Paolo Soda OffRL MedIm AI4CE 20 12 0 02 Aug 2024
Multi-Dataset Multi-Task Learning for COVID-19 Prognosis Filippo Ruffini L. Tronchin Zhuoru Wu Wenting Chen Paolo Soda Linlin Shen V. Guarrasi 27 10 0 22 May 2024
Multi-objective optimization determines when, which and how to fuse deep networks: an application to predict COVID-19 outcomes V. Guarrasi Paolo Soda 12 23 0 07 Apr 2022