.- International Workshop on Explainable Artificial Intelligence in Healthcare.
 
.- Enabling Visual and Textual Explanation in Diagnostics: A Federated Learning Approach with Medical Vision-Language Models.
.- A User-Centric Analysis of Explainability in AI-Based Medical Image Diagnosis.
.- Spot the Relevance: Evaluating Pixel Attribution Methods for Clinical Significance in Radiological Imaging.
.- Evaluating LIME and SHAP under Class Imbalance: A Lung Cancer Prediction Case Study using CPRD data.
.- Explainable Artificial Intelligence in Speech-Based Cognitive Decline Detection: A Systematic Review.
.- Cancer Care Needs Explainable Artificial Intelligence: Motivations from Potential Users.
.- Data-centric explanation methods for healthcare professionals.
 
.- International Workshop on Process Mining applications for Healthcare.
 
.- Predictive Process Monitoring for the Next Activities in Clinical Pathways.
.- Towards Automated Compliance Checking for Care Trajectories: Process Extraction Using Large Language Models.
.- Predicting Next Clinical Event in Amyotrophic Lateral Sclerosis using Process-Oriented Machine Learning Models: a Case Study.
.- A Novel Way to Evaluate Medical Discharge Predictions, a research paper.
.- Transforming Event Logs into Narrative Texts for Outcome Prediction: A Case Study in a Hospital Emergency Department.
.- Federated I-PALIA: Privacy-By-Design Distributed Process Discovery for Duplicated Activities in Healthcare.
.- From XAI-Driven Decision Paths to Processes: Mining and Clustering Decision Paths for Interpretable Kidney Transplant Prediction.