710 citations
Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.
- Italian Institute of TechnologyIT5 papers
- University of SouthamptonGB4 papers
- Karlsruhe Institute of TechnologyDE3 papers
- Barcelona Supercomputing CenterES2 papers
- Biologie Moléculaire Structurale et Processus InfectieuxFR2 papers
- Centre National de la Recherche ScientifiqueFR2 papers
- Institució Catalana de Recerca i Estudis AvançatsES2 papers
- Institut PasteurFR2 papers
- Johns Hopkins UniversityUS2 papers
- Northeastern UniversityUS2 papers
- Pacific Northwest National LaboratoryUS2 papers
- Universitat Politècnica de CatalunyaES2 papers
4 papers · 1 filter
A Privacy-Preserving Federated Learning Framework for Generalizable CBCT to Synthetic CT Translation in Head and Neck
Ciro Benito Raggio, Paolo Zaffino, Maria Francesca Spadea
Shortened Abstract Cone-beam computed tomography (CBCT) has become a widely adopted modality for image-guided radiotherapy (IGRT). However, CBCT suffers from increased noise, limit…
F-PSMA-1007 salivary gland dosimetry: Comparison between different methods for dose calculation and assessment of inter- and intra-patient variability
Daniele Pistone, Silvano Gnesin, Lucrezia Auditore +4
Dosimetry of salivary glands (SGs) is usually implemented using simplified calculation approaches and approximated geometries. Our aims were to compare different dosimetry methods…
Deep learning-based synthetic-CT generation in radiotherapy and PET: a review
Maria Francesca Spadea, Matteo Maspero, Paolo Zaffino +1
Recently, deep learning (DL)-based methods for the generation of synthetic computed tomography (sCT) have received significant research attention as an alternative to classical one…
Extracting quantitative biological information from brightfield cell images using deep learning
Saga Helgadottir, Benjamin Midtvedt, Jesús Pineda +5
Quantitative analysis of cell structures is essential for biomedical and pharmaceutical research. The standard imaging approach relies on fluorescence microscopy, where cell struct…