EXPLIMED@ECAI - researchr conference series publications

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2025

Proceedings of the Second Workshop on Second Workshop on Explainable Artificial Intelligence for the Medical Domain (EXPLIMED 2025) co-located with 28th European Conference on Artificial Intelligence (ECAI 2025), Bologna, Italy, October 25, 2025Volume 4059 of CEUR Workshop Proceedings, CEUR-WS.org, 2025. [doi]

Comparative Plausibility Evaluation of Heatmaps for Vision Transformers in Digital MammographyRamsha Aasim, Ghada Zamzmi, Jana G. Delfino, Joseph F. JáJá, Miguel A. Lago. explimed 2025: [doi]

Federated Inductive Logic Programming for Explainable Artificial IntelligenceYasmine Akaichi, Jean-Marie Jacquet, Isabelle Linden, Wim Vanhoof. explimed 2025: [doi]

Evaluation of Explainable AI by Medical Experts: a Survey of the Existing ApproachesNikolay Babakov, Elena Rezgova, Ehud Reiter, Alberto Bugarín. explimed 2025: [doi]

Massive Activations in Graph Neural Networks: Decoding Attention dor Domain-Dependent InterpretabilityLorenzo Bini, Marco Sorbi, Stéphane Marchand-Maillet. explimed 2025: [doi]

MRxaI: Black-Box Explainability for Image Classifiers in a Medical SettingNathan Blake, David A. Kelly, Santiago Calderon Pena, Akchunya Chanchal, Hana Chockler. explimed 2025: [doi]

Exploring the Expressive Power of Large Language Models in Neuro-Fuzzy System Explainability: A Study on EEG-Based Seizure DetectionGabriella Casalino, Giovanna Castellano, Daniele Margherita, Alberto Gaetano Valerio, Gennaro Vessio, Gianluca Zaza. explimed 2025: [doi]

Pilot Assessment of Transparency of LLM-based Systems to Support Emergency RoomsMichal Chojnicki, Katarzyna Kaczmarek-Majer, Pawel Burchardt, Yanwu Ren, Marek Z. Reformat. explimed 2025: [doi]

Using Design Thinking for Explainable AI: A Case Study Predicting the Start of the Palliative Phase in Patients with COPD or Heart FailureIris Heerlien, Jeroen Linssen, Lorenzo Gatti, Maya Sappelli, Betsie Van Gaal, Richard Evering, Noah Letwory. explimed 2025: [doi]

An Interpretable Prototype Parts-based Neural Network for Medical Tabular DataJacek Karolczak, Jerzy Stefanowski. explimed 2025: [doi]

xSTAE: Explaining Classifier Decisions through EEG Signal Style Transfer AutoencodingNatalia Koliou, Panagiotis Zazos, Christophoros Romesis, Cristian Bosch, Stasinos Konstantopoulos, Panagiotis Trakadas. explimed 2025: [doi]

High Cost, Low Trust? MSA-PNet Fixes Both for Medical ImagingDost Muhammad, Muhammad Salman, Malika Bendechache. explimed 2025: [doi]

Beyond Static Importance: Quantifying Stability and Distribution DriftMarcin Ostrowski, Olgierd Hryniewicz. explimed 2025: [doi]

LLM-Driven Clinical Trial Matching for Lung Cancer Patients: An Explainable ApproachVittoria Peppoloni, Giuseppe Leone, Laura Mazzeo, Alberto Ferrarin, Vanja Miskovic, Giuseppe Lo Russo, Paolo Baili, Arsela Prelaj, Federica Corso. explimed 2025: [doi]

CRISP-NAM: Competing Risk Interpretable Survival Prediction with Neural Additive ModelsDhanesh Ramachandram, Ananya Raval. explimed 2025: [doi]

Vision-Language Models in ECG Interpretation: An Exploratory StudySileshi Nibret Zeleke, Mario A. Bochicchio. explimed 2025: [doi]

2024

Editorial: The First Workshop on Explainable Artificial Intelligence for the medical domain - EXPLIMED@ECAI2024explimed 2024: [doi]

Towards Explainable General Medication PlanningLee-or Alon, Hana Weitman, Alexander Shleyfman, Gal A. Kaminka. explimed 2024: [doi]

Prediction of Continuous Targets by Explainable Imbalanced Regression from Omics Data in Childhood ObesityMaría Arteaga, Álvaro Torres-Martos, Augusto Anguita-Ruiz, Jesús Alcalá-Fdez, Rafael Alcalá, María José Gacto. explimed 2024: [doi]

Reliable central nervous system tumor diagnosis on MRI images with Deep Neural Networks and Conformal PredictionLuis Balderas, María Moreno de Castro, Miguel Lastra, José Pablo Martínez, Francisco Javier Pérez, Antonio Láinez, Antonio Arauzo-Azofra, José Manuel Benítez 0001. explimed 2024: [doi]

Identifying Candidates for Protein-Protein Interaction: A Focus on NKp46's LigandsAlessia Borghini, Federico Di Valerio, Alessio Ragno, Roberto Capobianco. explimed 2024: [doi]

Latent diffusion models for Privacy-preserving Medical Case-based ExplanationsFilipe Campos, Liliana Petrychenko, Luís F. Teixeira 0001, Wilson Silva. explimed 2024: [doi]

Explaining Predictions of Hypertension Disease through AnchorsGabriella Casalino, Giovanna Castellano, Katarzyna Kaczmarek-Majer, Pietro Giovanni Rizzo, Gianluca Zaza. explimed 2024: [doi]

Integrating Graph Neural Networks and Fuzzy Logic to Enhance Deep Learning InterpretabilityGiovanna Castellano, Raffaele Scaringi, Gennaro Vessio, Gianluca Zaza. explimed 2024: [doi]

AI Readiness in Healthcare through Storytelling XAIAkshat Dubey, Zewen Yang, Georges Hattab. explimed 2024: [doi]

Explainable skin lesion classification with multitask learningChih-Hao Liu, Sheng-Lung Huang. explimed 2024: [doi]

Mechanistic Causal Models for Explainable AI in Medicine: Coupling Respiratory and Immunological Systems for In Silico Medicine SimulationsJosé Ignacio Lorenzo, María Dolores Corbacho, Fernando Corbacho. explimed 2024: [doi]

Towards Explainable Deep Learning in Oncology: Integrating EfficientNet-B7 with XAI techniques for Acute Lymphoblastic LeukaemiaDost Muhammad, Ayse Keles, Malika Bendechache. explimed 2024: [doi]

VISE: Validated and Invalidated Symbolic Explanations for Knowledge Graph IntegrityDisha Purohit, Yashrajsinh Chudasama, Maria Torrente, Maria-Esther Vidal. explimed 2024: [doi]

ProtoAL: Interpretable deep active learning with prototypes for medical imagingIury Santos, André Carvalho. explimed 2024: [doi]

Explaining Bayesian Networks in Natural Language using Factor Arguments. Evaluation in the medical domainJaime Sevilla, Nikolay Babakov, Ehud Reiter, Alberto Bugarín. explimed 2024: [doi]

Evaluating Machine Learning Models against Clinical Protocols for Enhanced Interpretability and Continuity of CareChristel Sirocchi, Muhammad Suffian Nizami, Federico Sabbatini, Alessandro Bogliolo, Sara Montagna. explimed 2024: [doi]

An Explainable Convolutional Neural Network for the Detection of Drug AbuseGiulia Tufo, Meriam Zribi, Paolo Pagliuca, Francesca Pitolli. explimed 2024: [doi]

Explainability by Shapley attribution for electrocardiogram-based algorithmic diagnosis under subtractive counterfactual reasoning setupArijit Ukil, Antonio J. Jara, Leandro Marín. explimed 2024: [doi]

Proceedings of the First Workshop on Explainable Artificial Intelligence for the Medical Domain (EXPLIMED 2024) co-located with 27th European Conference on Artificial Intelligence (ECAI 2024), Santiago de Compostela, Spain, October 20, 2024Gianluca Zaza, Gabriella Casalino, Giovanna Castellano, editors, Volume 3831 of CEUR Workshop Proceedings, CEUR-WS.org, 2024. [doi]

Towards Explainable Federated Learning in Healthcare: A Focus on Heart Arrhythmia DetectionSileshi Nibret Zeleke, Mario A. Bochicchio. explimed 2024: [doi]

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