4 citations
- Politecnico di MilanoIT2 papers
- Centre National de la Recherche ScientifiqueFR1 paper
- Centro de Aplicaciones Tecnológicas y Desarrollo NuclearCU1 paper
- Centro Ricerche Enrico FermiIT1 paper
- Eindhoven University of TechnologyNL1 paper
- Federico II University HospitalIT1 paper
- Fondazione IRCCS Istituto Neurologico Carlo BestaIT1 paper
- GSI Helmholtz Centre for Heavy Ion ResearchDE1 paper
- Institute for High Performance Computing and NetworkingIT1 paper
- Institut Pluridisciplinaire Hubert CurienFR1 paper
- Istituto Nazionale di Fisica Nucleare, Laboratori Nazionali del Gran SassoIT1 paper
- Istituto Nazionale di Fisica Nucleare, Laboratori Nazionali di FrascatiIT1 paper
4 papers
Toward High-Resolution Detection of Target Fragmentation: TEA-Sensitized NIT for Proton Therapy Applications
V. Boccia, T. Asada, A. Alexandrov +96
Nano Imaging Trackers (NIT) are fine-grained nuclear emulsions capable of tracking charged particles with sub-micrometric spatial resolution. The DAMON (Direct Measurement of Targe…
Towards Privacy-Aware Bayesian Networks: A Credal Approach
Niccolò Rocchi, Fabio Stella, Cassio de Campos
Bayesian networks (BN) are probabilistic graphical models that enable efficient knowledge representation and inference. These have proven effective across diverse domains, includin…
Automatic Cough Analysis for Non-Small Cell Lung Cancer Detection
Chiara Giangregorio, Cristina Maria Licciardello, Vanja Miskovic +7
Early detection of non-small cell lung cancer (NSCLC) is critical for improving patient outcomes, and novel approaches are needed to facilitate early diagnosis. In this study, we e…
Augmentation-Based Deep Learning for Identification of Circulating Tumor Cells
Martina Russo, Giulia Bertolini, Vera Cappelletti +4
Circulating tumor cells (CTCs) are crucial biomarkers in liquid biopsy, offering a noninvasive tool for cancer patient management. However, their identification remains particularl…