309 citations
Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.
- Politecnico di MilanoIT2 papers
- Beth Israel Deaconess Medical CenterUS1 paper
- Broward HealthUS1 paper
- Centre National de la Recherche ScientifiqueFR1 paper
- Centro de Aplicaciones Tecnológicas y Desarrollo NuclearCU1 paper
- Centro Ricerche Enrico FermiIT1 paper
- Cliniques Universitaires Saint-LucBE1 paper
- Eindhoven University of TechnologyNL1 paper
- Federico II University HospitalIT1 paper
- Fondazione IRCCS Istituto Neurologico Carlo BestaIT1 paper
- Gentofte HospitalDK1 paper
- GSI Helmholtz Centre for Heavy Ion ResearchDE1 paper
6 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…
Towards automatic pulmonary nodule management in lung cancer screening with deep learning
Francesco Ciompi, Kaman Chung, Sarah J. van Riel +10
The introduction of lung cancer screening programs will produce an unprecedented amount of chest CT scans in the near future, which radiologists will have to read in order to decid…
Reduction of breast cancer relapses with perioperative non-steroidal anti-inflammatory drugs: new findings and a review
M. W. Retsky, R. Demicheli, W. J. M. Hrushesky +7
To explain a bimodal pattern of hazard of relapse among early stage breast cancer patients identified in multiple databases, we proposed that late relapses result from steady stoch…