Workshop Organization
June 26, 2025 - Pavia (Italy) - From Bits to Qubits: Quantum Machine Learning for Medical Breakthroughs - https://sites.google.com/view/frombitstoqubits-aime25/home
International Journal Publications
Brozzi, Filippo, Turati, Gloria, Ferrari Dacrema, Maurizio, Caruso, Filippo, & Cremonesi, Paolo. “Hamiltonian Expressibility for Ansatz Selection in Variational Quantum Algorithms”. Eprint arXiv:2507.22550, 2025.
Cacciatore, Alessandro, Berardini, Daniele, Scaraggi, Vito, Mancini, Adriano, Moccia, Sara, & Migliorelli, Lucia. "Online Knowledge Distillation and Deep Supervision in HRNet: Green AI for Preterm Infants’ Pose Estimation". ACM Transactions on Computing for Healthcare, vol. 6, no. 4, Article 49, 2025, pp. 1-19, doi: 10.1145/3757067.
Canonici, Ettore, & Caruso, Filippo. “Privacy-preserving neutral atom-based quantum classifier towards real healthcare applications”. Eprint arXiv:2505.04570, 2025.
Cappiello, Giacomo, & Caruso, Filippo. “Quantum AI for Alzheimer’s disease early screening”. Neurocomputing, vol. 647, art. 130565, doi: 10.1016/j.neucom.2025.130565, 2025.
Das, Sreetama, Martina, Stefano, & Caruso, Filippo. “The role of data embedding in equivariant quantum convolutional neural networks”. Quantum Machine Intelligence, vol. 6, 2024, Article 82, doi: 10.1007/s42484-024-00215-7.
Das, Sreetama, & Caruso, Filippo. “Permutation-equivariant quantum convolutional neural networks”. Quantum Science and Technology, vol. 10, no. 1, 2024, Article 015030, doi: 10.1088/2058-9565/ad8e80.
Fiorentino, Maria Chiara, Moccia, Sara, Di Cosmo, Mariachiara, Frontoni, Emanuele, Giovanola, Benedetta, & Tiribelli, Simona. "Uncovering Ethical Biases in Publicly Available Fetal Ultrasound Datasets". npj Digital Medicine, vol. 8, no. 1, Article 355, 2025, doi: 10.1038/s41746-025-01739-3.
Ilari, Ludovica, Tiribelli, Simona & Caruso, Filippo. From AI security to ethical AI security: a comparative risk-mitigation framework for classical and hybrid AI governance. AI Ethics 6, 91, 2026, doi: 10.1007/s43681-025-00935-x
Lasala, Angelo, Fiorentino, Maria Chiara, Bandini, Andrea, & Moccia, Sara. "FetalBrainAwareNet: Bridging GANs with Anatomical Insight for Fetal Ultrasound Brain Plane Synthesis". Computerized Medical Imaging and Graphics, vol. 116, 2024, Article 102405, doi: 10.1016/j.compmedimag.2024.102405.
Lasala, Angelo, Fiorentino, Maria Chiara, Bandini, Andrea, Moccia, Sara, & Giannarou, Stamatia. "Two-step Latent Diffusion Modelling for Morphology-guided Synthesis of Glioma Intraoperative Ultrasound Images". Biomedical Signal Processing and Control, vol. 120, 2026, Article 110037, doi: 10.1016/j.bspc.2026.110037.
Lasala, Angelo, Fiorentino, Maria Chiara, Bandini, Andrea, & Moccia, Sara. "Conditional Latent Diffusion Models for PLAX Echocardiographic Image Synthesis: A Geometric-Anatomical Guided Approach". IEEE Transactions on Medical Robotics and Bionics, 2025, doi: 10.1109/TMRB.2025.3617977.
Marchetti, Alessandro, Ilari, Ludovica, Marino, Paolo, Tiribelli, Simona, & Caruso, Filippo. “Bias Mitigation in Quantum Machine Learning: A Fairness Analysis of the COMPAS Dataset”. Under review for EXTRAAMAS 2026.
Parigi, Marco, Martina, Stefano, Venturelli, Francesco Aldo, & Caruso, Filippo. “Physics-inspired Generative AI models via real hardware-based noisy quantum diffusion”. Eprint arXiv:2505.22193, 2025.
Parigi, Marco, Khosrojerdi, Mehran, Caruso, Filippo, & Banchi, Leonardo. “Analysis of quantum image representations for supervised classification”. AVS Quantum Science, vol. 8, no. 1, 2026, Article 013801, doi: 10.1116/5.0296376.
Petrocchi, Ermanno, Tiribelli, Simona, & Caruso, Filippo. "Advancing the Sustainability of Quantum Computing and Quantum AI: Bridging Policy Gaps with a Preliminary Framework". 2025 IEEE International Conference on Quantum Artificial Intelligence (QAI), Naples, Italy, 2025, pp. 153-158, doi: 10.1109/QAI63978.2025.00031.
Venturelli, Francesco Aldo, Das, Sreetama, & Caruso, Filippo. “Investigating layer-selective transfer learning of quantum approximate optimization algorithm parameters for the Max-Cut problem”. Physical Review A, 2025, vol. 112, Article 042428, doi: 10.1103/cjjm-87gl
International Conferences and Workshops
Caruso, Filippo. “Machine learning based noise characterization and correction on neutral atoms NISQ devices”. Invited Talk at the CINECA HPCQC 2023 Workshop, “High Performance Computing and Quantum Computing”, Bologna, Italy, December 14–15, 2023.
Caruso, Filippo. “Generative AI, Human Decision and Machine Prediction: Models, Algorithms, Platforms and Ethics”. Three Invited Lectures at the Lipari School on Computational Complex and Social Systems, Lipari, Italy, July 14–20, 2024.
Tiribelli, Simona. “Fairness in AI for Health”. Invited Talk at the workshop “Harnessing AI for Comprehensive Pathology Severity Estimation: Methodological Innovations and Patient-Centric Practical Applications”, held within the IEEE-EMBS International Conference on Biomedical and Health Informatics (BHI 2024), Houston, Texas, USA, November 8-13, 2024.
Di Marino, Greta, Migliorelli, Lucia, Moccia, Sara, Sirocchi, Claudio, Bramucci, Matteo Lorenzo, Carpaneto, Jacopo, Cacciatore, Alessandro, & Berardini, Daniele. “A Monitoring Support System Based on HRNet+DEKR for Neonatal Intensive Care Units”. Contribution presented at the 1st Workshop on Advancing Non-invasive Human Motion Characterization in the Clinical Domain: Methods and Applications (ANIMA), in the 35th British Machine Vision Conference (BMVC 2024), Glasgow, UK, November 28, 2024.
Moccia, Sara. “Towards AI-driven contactless assessment of infants’ spontaneous motility”. Keynote Talk at the 1st Workshop on Advancing Non-invasive Human Motion Characterization in the Clinical Domain: Methods and Applications (ANIMA), in the 35th British Machine Vision Conference (BMVC 2024), Glasgow, UK, November 28, 2024.
Tiribelli, Simona. “Navigating Accountability in Deep Learning–Based Computer Vision Technology: An AI Ethics Framework for Achieving Trustworthy AI in the Clinical Domain”. Keynote Talk at the 1st Workshop on Advancing Non-invasive Human Motion Characterization in the Clinical Domain: Methods and Applications (ANIMA), in the 35th British Machine Vision Conference (BMVC 2024), Glasgow, UK, November 28, 2024.
Tiribelli, Simona. “Substantial Fairness in Healthcare AI Ethics: The Path Forward”. Keynote Talk at the 7th International Workshop on EXplainable, Trustworthy, and Responsible AI and Multi-Agent Systems (EXTRAAMAS 2025), co-located with the 24th International Conference on Autonomous Agents and Multiagent Systems (AAMAS 2025), Detroit, Michigan, USA, May 19–20, 2025.
Caruso, Filippo. “Quantum AI for Neuroscience”. Invited Lecture at the Lipari School on Computational Neuroscience, “Single-Cell and Non-coding RNAs for Neuroscience”, Lipari, Italy, July 6–12, 2025.
Caruso, Filippo, Moccia, Sara, Tiribelli, Simona, & Di Cosmo, Mariachiara. “From Bits to Qubits: Quantum Machine Learning for Medical Breakthroughs”. Workshop organized at the 23rd International Conference on Artificial Intelligence in Medicine (AIME 2025), Pavia, Italy, June 26, 2025. URL: https://sites.google.com/view/frombitstoqubits-aime25/home
Caruso, Filippo. “Quantum AI: from theory to healthcare”. Keynote Talk at the workshop “From Bits to Qubits: Quantum Machine Learning for Medical Breakthroughs”, at the 23rd International Conference on Artificial Intelligence in Medicine (AIME 2025), Pavia, Italy, June 26, 2025.
Tiribelli, Simona. “Quantum AI Ethics”. Keynote Talk at the workshop “From Bits to Qubits: Quantum Machine Learning for Medical Breakthroughs”, at the 23rd International Conference on Artificial Intelligence in Medicine (AIME 2025), Pavia, Italy, June 26, 2025.
Marchetti, Alessandro, et al. “Deep Learning Approaches for Occlusion Detection in Preterm Infant Images: A Classification Study”. Contribution presented at the workshop “From Bits to Qubits: Quantum Machine Learning for Medical Breakthroughs”, at the 23rd International Conference on Artificial Intelligence in Medicine (AIME 2025), Pavia, Italy, June 26, 2025.
Marino, Paolo, et al. “Exploring Quantum-classical Hybrid Learning for neonatal care”. Contribution presented at the workshop “From Bits to Qubits: Quantum Machine Learning for Medical Breakthroughs”, at the 23rd International Conference on Artificial Intelligence in Medicine (AIME 2025), Pavia, Italy, June 26, 2025.
Ilari, Ludovica, et al. “A Security and Ethical Framework for Trustworthy Hybrid Classical-Quantum AI in Healthcare”. Contribution presented at the workshop “From Bits to Qubits: Quantum Machine Learning for Medical Breakthroughs”, at the 23rd International Conference on Artificial Intelligence in Medicine (AIME 2025), Pavia, Italy, June 26, 2025.
Di Marino, Greta, et al. “Pose estimation in preterm infants: A comparative study of Deep Learning models and manual annotation”. Contribution presented at the workshop “From Bits to Qubits: Quantum Machine Learning for Medical Breakthroughs”, at the 23rd International Conference on Artificial Intelligence in Medicine (AIME 2025), Pavia, Italy, June 26, 2025.
Cardinale, Emanuele, et al. “Optimizing infant pose estimation: the impact of infant detection in enhancing model performance”. Contribution presented at the workshop “From Bits to Qubits: Quantum Machine Learning for Medical Breakthroughs”, at the 23rd International Conference on Artificial Intelligence in Medicine (AIME 2025), Pavia, Italy, June 26, 2025.
Petrocchi, Ermanno, Tiribelli, Simona, & Caruso, Filippo. “Advancing the Sustainability of Quantum Computing and Quantum AI: Bridging Policy Gaps with a Preliminary Framework”. 2025 IEEE International Conference on Quantum Artificial Intelligence (QAI 2025), Naples, Italy, November 2–5, 2025, pp. 153-158, doi: 10.1109/QAI63978.2025.00031.
Communication Activities to the General Public
Moccia, Sara. AIxGirls lecture to high school students on AI for medical image analysis. 2025.
Moccia, Sara. Lecture to general public "LE SFIDE DELLA DIGITALIZZAZIONE E DELL’IA PER LA GESTIONE DELL’INNOVAZIONE MANAGERIALE NEI SERVIZI SANITARI". 2025.
Moccia, Sara. Lecture to general public "Artificial Intelligence in Medicine". 2025.