A graph neural network-based model with Out-of-Distribution Robustness for enhancing Antiretroviral Therapy Outcome Prediction for HIV-1

24 February 2025

Papers citing "A graph neural network-based model with Out-of-Distribution Robustness for enhancing Antiretroviral Therapy Outcome Prediction for HIV-1"

27 / 27 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 76 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 85 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 130 1 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 77 0 0 18 Mar 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 74 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 76 16 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 106 12 0 22 May 2024
Incorporating temporal dynamics of mutations to enhance the prediction capability of antiretroviral therapy's outcome for HIV-1 Giulia Di Teodoro M. Pirkl F. Incardona I. Vicenti Anders Sönnerborg Rolf Kaiser L. Palagi Maurizio Zazzi Thomas Lengauer 70 4 0 08 Nov 2023
A Deep Learning Approach for Virtual Contrast Enhancement in Contrast Enhanced Spectral Mammography Aurora Rofena V. Guarrasi M. Sarli C. Piccolo M. Sammarra B. Zobel Paolo Soda MedIm 80 22 0 01 Aug 2023
A Deep Learning Approach for Overall Survival Prediction in Lung Cancer with Missing Values Camillo Maria Caruso V. Guarrasi Sara Ramella Paolo Soda 82 11 0 21 Jul 2023
Multimodal Explainability via Latent Shift applied to COVID-19 stratification V. Guarrasi L. Tronchin Domenico Albano E. Faiella Deborah Fazzini D. Santucci Paolo Soda 77 24 0 28 Dec 2022
Exposing Outlier Exposure: What Can Be Learned From Few, One, and Zero Outlier Images Philipp Liznerski Lukas Ruff Robert A. Vandermeulen Billy Joe Franks Klaus-Robert Muller Marius Kloft UQCV 129 45 0 23 May 2022
Multi-objective optimization determines when, which and how to fuse deep networks: an application to predict COVID-19 outcomes V. Guarrasi Paolo Soda 48 24 0 07 Apr 2022
BrainGB: A Benchmark for Brain Network Analysis with Graph Neural Networks Hejie Cui Wei Dai Yanqiao Zhu Xuan Kan Antonio Aodong Chen Gu Joshua Lukemire Liang Zhan Lifang He Ying Guo Carl Yang 101 123 0 17 Mar 2022
Transformaly -- Two (Feature Spaces) Are Better Than One M. Cohen S. Avidan ViT 88 30 0 08 Dec 2021
Out-of-Distribution Detection for Medical Applications: Guidelines for Practical Evaluation Karina Zadorozhny P. Thoral Paul Elbers Giovanni Cina OODD OOD 86 15 0 30 Sep 2021
Graph Neural Networks in Network Neuroscience Alaa Bessadok Mohamed Ali Mahjoub I. Rekik GNN 95 184 0 07 Jun 2021
Heterogeneous Similarity Graph Neural Network on Electronic Health Records Zheng Liu Xiaohan Li Hao Peng Lifang He Philip S. Yu 90 66 0 17 Jan 2021
Design Space for Graph Neural Networks Jiaxuan You Rex Ying J. Leskovec GNN AI4CE 206 323 0 17 Nov 2020
CSI: Novelty Detection via Contrastive Learning on Distributionally Shifted Instances Jihoon Tack Sangwoo Mo Jongheon Jeong Jinwoo Shin OODD 85 606 0 16 Jul 2020
A Benchmark of Medical Out of Distribution Detection Tianshi Cao Chinwei Huang D. Y. Hui Joseph Paul Cohen OOD 85 59 0 08 Jul 2020
Improving Graph Neural Network Expressivity via Subgraph Isomorphism Counting Giorgos Bouritsas Fabrizio Frasca Stefanos Zafeiriou M. Bronstein 136 440 0 16 Jun 2020
Using Self-Supervised Learning Can Improve Model Robustness and Uncertainty Dan Hendrycks Mantas Mazeika Saurav Kadavath Basel Alomair OOD SSL 69 953 0 28 Jun 2019
A Comprehensive Survey on Graph Neural Networks Zonghan Wu Shirui Pan Fengwen Chen Guodong Long Chengqi Zhang Philip S. Yu FaML GNN AI4TS AI4CE 848 8,633 0 03 Jan 2019
Enhancing The Reliability of Out-of-distribution Image Detection in Neural Networks Shiyu Liang Yixuan Li R. Srikant UQCV OODD 179 2,085 0 08 Jun 2017
Simple and Scalable Predictive Uncertainty Estimation using Deep Ensembles Balaji Lakshminarayanan Alexander Pritzel Charles Blundell UQCV BDL 934 5,858 0 05 Dec 2016
A Baseline for Detecting Misclassified and Out-of-Distribution Examples in Neural Networks Dan Hendrycks Kevin Gimpel UQCV 231 3,488 0 07 Oct 2016