Alice Natalina Caragliano
Full profile and recent publications of Alice Natalina Caragliano.
PhD
Alice Natalina Caragliano
PhD Candidate @ Università Campus Bio-Medico di Roma
Alice Natalina Caragliano is a Ph.D. candidate in Artificial Intelligence at Università Campus Bio-Medico di Roma. Her work focuses on developing trustworthy AI solutions for precision oncology by integrating medical imaging and clinical data. Her research interests include multimodal deep learning, medical image analysis, explainable AI, and robust learning from limited, heterogeneous, and incomplete clinical datasets.
Recent Publications
- Virtual Treatment for radiotherapy: Multimodal generative prediction of longitudinal NSCLC tumor progression2026
- Multimodal Stepwise Clinically-Guided Attention Learning for Pathological Complete Response Prediction in Breast CancerarXiv preprint arXiv:2605.07561, 2026
- Longitudinal NSCLC Treatment Progression via Multimodal Generative ModelsarXiv preprint arXiv:2603.06147, 2026
- Learning from Limited and Incomplete Data: A Multimodal Framework for Predicting Pathological Response in NSCLCarXiv preprint arXiv:2603.15100, 2026
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- Multimodal Doctor-in-the-Loop: A Clinically-Guided Explainable Framework for Predicting Pathological Response in Non-Small Cell Lung Cancer2025
- Exploring the Limitations of Virtual Contrast Prediction in Brain Tumor Imaging: A Study of Generalization Across Tumor Types and Patient Populations2025
- Doctor-in-the-Loop: An explainable, multi-view deep learning framework for predicting pathological response in non-small cell lung cancer2025
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