Aleksandra Zec, Marcello Matteo Declich, Matteo Sacco, Franceso Trovò, Daniele Lorenzini, Arsela Prelaj, Giuseppe Lo Russo, Andrea Spagnoletti, Vanja Mišković. Ensemble-Based Prediction of Immunotherapy Outcomes in Non-Small Cell Lung Cancer from Whole Slide Images.
Duncan Kibet, Min Seop So, Hahyeon Kang, Jong-Ho Shin. Graph Convolutional Networks for ATC Drug Classification from Molecular Data.
Katja Wilde, Franco Rugolon. Evaluating Explainability Techniques for Machine Learning in Healthcare - A Human-Centered Approach through Expert Interviews.
Margherita Favali, Vanja Miskovic, Alberto Eusebio, Francesco Trovò, Leonardo Provenzano, Beshoy Guirges, Margherita Ruggirello, Marina Chiara Garassino, Claudia Proto, Giuseppe Lo Russo, Arsela Prelaj and Alessandra Pedrocchi. Trustworthy Evaluation of 2D Deep Learning Model for Lung CT Scans.
Kevin Thandiackal, Francesca Tozzi, Eoin O'Connor, Yan-Ping Zhang. Decoding Self-paced Activity in Mice with ActionFormer.
Saptarshi Saha, Pratyush Kumar Sahoo, Arijit Ukil, Trisrota Deb, Ishan Sahu, Kayapanda Muthana Mandana, Arpan Pal, Utpal Garain. BeatVision: Explainable AI for Clinician-Grade Atrial Fibrillation Detection.
Kevin Arjona, Franco Rugolon. CKD-GEO - A multimodal workflow for detecting CKD using statistical and geographical data.
Robbe D'hondt, Lucy Van Kleunen, Pedro Illídio, Celine Vens. Challenging the Binary Classification Paradigm in Longitudinal Health Data Settings.
Jiale Fu. Newly identified proteomic biomarkers enhance risk prediction for diabetic retinopathy in UK Biobank.
Muna Shati, Franco Rugolon, Alejandro Kuratom. A Case Study in Explainable AI for Drug-Drug Interaction Prediction: A SHAP-Based Approach.