Accepted Papers

List of Accepted Papers

Full papers

• Niccolò Rocchi, Alice Bernasconi, Alessio Zanga, Alessandro Gronchi, Dario Callegaro, Paolo Giovanni Casali, Salvatore Provenzano, Rosalba Miceli, Annalisa Trama and Fabio Stella. A Causal Discovery Workflow for Rare Cancers: Case Study on Soft Tissue Sarcoma

• Sofia Fazio, Patrizia Ribino, Francesca Gasparini, Norbert Marwan, Peppino Fazio, Marco Gherardi and Maria Mannone. A physics-based view of brain-network alteration in neurological disease

• Mohammad Hosseinipour, Luca Bergamin, Harel Kotler, Gisella Gennaro and Fabio Aiolli. Addressing Challenges in Image Translation for Contrast-Enhanced Mammography using Generative Adversarial Networks

• Gabriele Tinè and Rosalba Miceli. A-MALA: A New Adaptive Version of the Metropolis Adjusted Langevin Algorithm for Survival Prediction in a High-Dimensional Framework

• Gianluca Aguzzi, Matteo Magnini, Stefano Ferretti, Giuseppe Pio Salcuni and Sara Montagna. Applying Retrieval-Augmented Generation on Open LLMs for a Medical Chatbot Supporting Hypertensive Patients

• Paulo Vitor de Campos Souza and Mauro Dragoni. Artificial Intelligence in Emergency Care: Implementing Machine Learning for Triage Optimization in Italian Hospitals

• Veera Venkata Naga Krishna Chaitanya Atkuri. Balancing Accuracy and Safety in AI: A Novel Adversarial Training Approach

• Alessia Calzoni, Mattia Savardi and Alberto Signoroni. Bimodal ECG-PCG Cardiovascular Disease Detection: a Close Look at Transfer Learning and Data Collection Issues

• Luca Marconi, Efrem Pirovano and Federico Cabitza. CLARITY AI: A Comprehensive Checklist Integrating Established Frameworks for Enhanced Research Quality in Medical AI Studies

• Francisco de Arriba-Pérez and Silvia García-Méndez. Detecting anxiety and depression in dialogues: a multi-label and explainable approach

• Marco Serenelli, Michela Quadrini, Maria Óskarsdóttir and Michele Loreti. Encoding Methods Comparison for Stress Detection

• Aldo Marzullo and Marta Bianca Maria Ranzini. Exploring Zero-Shot Anomaly Detection with CLIP in Medical Imaging: Are We There Yet?

• Carmine Dodaro, Giuseppe Galatà, Marco Maratea, Cinzia Marte and Marco Mochi. Nuclear Medicine Rescheduling Problem: A Logic-based Approach

• Alice Bernasconi, Antonio Balordi, Alessio Zanga and Rafael Cabañas. On Counterfactual Explainations of Cardiovascular Risk in Adolescents and Young Adults Breast Cancer Survivors

• Taiwo Kolajo and Olawande Daramola. Predicting COVID-19 Post-vaccination Mortality in Persons with Cardiovascular Disease Risk Factors Using Explainable AI

• Marco Locatelli, Roberto Clemens Cerioli, Daniela Besozzi, Arjen Hommersom and Fabio Stella. Reinforcement Learning and Fuzzy Logic Modelling for Personalized Dynamic Treatment

• Monica Consolandi, Simone Magnolini and Mauro Dragoni. Risk Communication in Healthcare: The Management of Misunderstandings

• Simmera Ndlalane, Olumuyiwa Otegbeye and Absalom Ezugwu. Strategic Optimization of Blood Allocation in Blood Banks for Enhanced Resource Utilization

• Pierangela Bruno, Antonio Cirella, Ernesto Di Cesare, Gianluigi Greco, Antonella Guzzo, Pierpaolo Palumbo, Silvano Junior Santini, Gaia Sinatti, Pierpaolo Vittorini, Clara Balsano and Francesco Calimeri. To Heart via Liver: a Study on Prognostic Stratification of Heart Disease in MASLD Patients using Machine Learning Models

• Mauro Dragoni, Gianluca Apriceno and Tania Bailoni. Validating a Functional Status Knowledge Graph in a Large-scale Living Lab

Short papers

• Andrea Basile, Fabio Calefato, Filippo Lanubile, Giancarlo Logroscino, Giulio Mallardi and Benedetta Tafuri. A Preliminary Study on Augmenting Neuroimaging data using a Diffusion Model

• Fabio Angeli. An Educational Approach for Neurodiverse Children Using AI: A Case Study on DSA, Autism, and Dyscalculia

• Patrizia Ribino, Maria Mannone, Claudia Di Napoli, Giovanni Paragliola, Davide Chicco and Francesca Gasparini. Analyzing trajectories of clinical markers in patients with sepsis through multivariate longitudinal clustering

• Janneke Bolt, Anna Berghuis, Arjen Hommersom, Marike Lombaers, Johanna Pijnenborg and Silja Renooij. Bayesian Networks in Medicine: Presenting Query Response Uncertainty for Decision Support

• Andrea Monaldini, Alina Vozna and Stefania Costantini. Blueprint Personas in Digital Health Transformation

• Megan Macrì, Pierangela Bruno and Carmine Dodaro. Deep Learning Approaches for Segmentation and Classification of Breast Ultrasound Images

• Leonardo Sanna, Simone Magnolini, Patrizio Bellan, Saba Ghanbari Haez, Marina Segala, Monica Consolandi and Mauro Dragoni. Doctor, is it normal? Enabling medical chatbots to provide certified replies to normalcy questions

• Edoardo De Rose, Carlo Adornetto, Francesco Calimeri and Gianluigi Greco. Features selection throught autoencoder filtering and DeepShap: an iterative algorithm

• Luigi Portinale, Giorgio Leonardi and Andrea Santomauro. Similarity-based positional encoding for enhanced classification in medical images

Non-original papers (already published elsewhere)

• Carlo Adornetto, Pierangela Bruno, Francesco Calimeri, Edoardo De Rose, Gianluigi Greco and Alessandro Quarta. AI-Driven Innovations in Healthcare: Bridging Imaging and Genomics for Advanced Disease Insights 

• Behnam Yousefi, Federico Melograna, Gianluca Galazzo, Niels van Best, Monique Mommers, John Penders, Benno Schwikowski and Kristel Van Steen. Capturing the dynamics of microbial interactions through individual-specific networks 

• Rupali Khatun, Soumick Chatterjee, Bert Christoph, Martin Wadepohl, Oliver J. Ott, Sabine Semrau, Rainer Fietkau, Andreas Nürnberger, Udo Gaipl and Benjamin Frey. Complex-valued neural networks to speed-up MR Thermometry during Hyperthermia using Fourier PD and PDUNet 

• Gebreyowhans Hailekiros Bahre, Hassan Hamidi, Andrew Sellergren, Leo Anthony Celi, Francesco Calimeri and Laleh Seyyed-Kalantari. Fairness Of AI Models in vector embedded Chest X-ray representations

• Alessio Zanga, Alice Bernasconi, Peter J.F. Lucas, Hanny Pijnenborg, Casper Reijnen, Marco Scutari and Anthony C. Constantinou. Federated Causal Discovery with Missing Data in a Multicentric Study on Endometrial Cancer 

• Pierangela Bruno, Francesco Calimeri, Francesca Filice, Cinzia Marte and Simona Perri. IDADA: A Blended Inductive-Deductive Approach for Data Augmentation

• Benedetta Salvatori, Silke Wegener, Grammata Kotzaeridi, Annika Herding, Florian Eppel, Iris Dressler-Steinbach, Wolfgang Hernich, Agnese Piersanti, Micaela Morettini, Andrea Tura and Christian Göbl. Identification and validation of gestational diabetes subgroups by data-driven cluster analysis 

• Zuqi Li, Federico Melograna, Hanne Hoskens, Diane Duroux, Mary Marazita, Susan Walsh, Seth Weinberg, Mark Shriver, Bertram Müller-Myhsok, Peter Claes and Kristel Van Steen. netMUG: a novel network-guided multi-view clustering workflow for dissecting genetic and facial heterogeneity 

• Chethan Radhakrishna, Karthikesh Varma Chintalapati, Sri Chandana Hudukula Ram Kumar, Raviteja Sutrave, Hendrik Mattern, Oliver Speck, Andreas Nürnberger and Soumick Chatterjee. SPOCKMIP: Segmentation of Vessels in MRAs with Enhanced Continuity using Maximum Intensity Projection as Loss