EXPLIMED 2024
Explainable Artificial Intelligence for the Medical Domain 2024

Table of Contents

• Editorial: The First Workshop on Explainable Artificial Intelligence for the medical domain - EXPLIMED@ECAI2024
  Gianluca Zaza , Gabriella Casalino , Giovanna Castellano , Summary: There were 24 papers submitted for peer-review to this workshop. Out of these, 18 papers were accepted for this volume, 18 as regular papers and 0 as short papers.

Session 1

• Integrating Graph Neural Networks and Fuzzy Logic to Enhance Deep Learning Interpretability
  Giovanna Castellano , Raffaele Scaringi , Gennaro Vessio , Gianluca Zaza
• ProtoAL: Interpretable deep active learning with prototypes for medical imaging
  Iury Santos , André Carvalho
• Latent diffusion models for Privacy-preserving Medical Case-based Explanations
  Filipe Campos , Liliana Petrychenko , Luís F. Teixeira , Wilson Silva
• Explaining Bayesian Networks in Natural Language using Factor Arguments. Evaluation in the medical domain
  Jaime Sevilla , Nikolay Babakov , Ehud Reiter , Alberto Bugarin
• VISE: Validated and Invalidated Symbolic Explanations for Knowledge Graph Integrity
  Disha Purohit , Yashrajsinh Chudasama , Maria Torrente , Maria-Esther Vidal
• Prediction of Continuous Targets by Explainable Imbalanced Regression from Omics Data in Childhood Obesity
  María Arteaga , Álvaro Torres-Martos , Augusto Anguita-Ruiz , Jesús Alcalá-Fdez , Rafael Alcalá , María José Gacto

Session 2

• Explainable skin lesion classification with multitask learning
  Chih-Hao Liu , Sheng-Lung Huang
• An Explainable Convolutional Neural Network for the Detection of Drug Abuse
  Giulia Tufo , Meriam Zribi , Paolo Pagliuca , Francesca Pitolli
• Towards Explainable Federated Learning in Healthcare: A Focus on Heart Arrhythmia Detection
  Sileshi Nibret Zeleke , Mario Bochicchio
• Towards Explainable Deep Learning in Oncology: Integrating EfficientNet-B7 with XAI techniques for Acute Lymphoblastic Leukaemia
  Dost Muhammad , Ayse Keles , Malika Bendechache
• Explainability by Shapley attribution for electrocardiogram-based algorithmic diagnosis under subtractive counterfactual reasoning setup
  Arijit Ukil , Antonio J. Jara , Leandro Marin
• AI Readiness in Healthcare through Storytelling XAI
  Akshat Dubey , Zewen Yang , Georges Hattab

Session 3

• Mechanistic Causal Models for Explainable AI in Medicine: Coupling Respiratory and Immunological Systems for In Silico Medicine Simulations
  José Ignacio Lorenzo , María Dolores Corbacho , Fernando Corbacho
• Identifying Candidates for Protein-Protein Interaction: A Focus on NKp46's Ligands
  Alessia Borghini , Federico Di Valerio , Alessio Ragno , Roberto Capobianco
• Evaluating Machine Learning Models against Clinical Protocols for Enhanced Interpretability and Continuity of Care
  Christel Sirocchi , Muhammad Suffian , Federico Sabbatini , Alessandro Bogliolo , Sara Montagna
• Towards Explainable General Medication Planning
  Lee-or Alon , Hana Weitman , Alexander Shleyfman , Gal A. Kaminka
• Reliable central nervous system tumor diagnosis on MRI images with Deep Neural Networks and Conformal Prediction
  Luis Balderas , María Moreno de Castro , Miguel Lastra , José Pablo Martínez , Francisco Javier Pérez , Antonio Láinez , Antonio Arauzo-Azofra , José Manuel Benítez
• Explaining Predictions of Hypertension Disease through Anchors
  Gabriella Casalino , Giovanna Castellano , Katarzyna Kaczmarek-Majer , Pietro Giovanni Rizzo , Gianluca Zaza