Image Prof Spadea KIT-IBT

Prof. Dr.-Ing. Maria Francesca Spadea

Offene Stellen / Doktorarbeiten
Titel Projekt Kontaktperson

Veröffentlichungen


  Alle Veröffentlichungen, sortiert nach Jahren

          2024  2023  [Alle]


Ausgewählte Veröffentlichungen

Journal Articles (5)

A. M. Ponsiglione, P. Zaffino, C. Ricciardi, D. Di Laura, M. F. Spadea, G. De Tommasi, G. Improta, M. Romano, and F. Amato.
Combining simulation models and machine learning in healthcare management: strategies and applications.
In Progress in Biomedical Engineering, vol. 6(2) , pp. 022001, 2024
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D. Dragone, F. F. Donadio, C. Mirabelli, C. Cosentino, F. Amato, P. Zaffino, M. F. Spadea, D. La Torre, and A. Merola.
Design and Experimental Validation of a 3D-Printed Embedded-Sensing Continuum Robot for Neurosurgery.
In Micromachines, vol. 14(9) , pp. 1743, 2023
  PDF        
L. Tirinato, V. Onesto, D. Garcia-Calderon, F. Pagliari, M.-F. Spadea, J. Seco, and F. Gentile.
Human Cancer Cell Radiation Response Investigated through Topological Analysis of 2D Cell Networks.
In Annals of Biomedical Engineering, 2023
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Z. She, A. Marzullo, M. Destito, M. F. Spadea, R. Leone, N. Anzalone, S. Steffanoni, F. Erbella, A. J. M. Ferreri, G. Ferrigno, T. Calimeri, and E. De Momi.
Deep learning-based overall survival prediction model in patients with rare cancer: a case study for primary central nervous system lymphoma.
In International Journal of Computer Assisted Radiology and Surgery, 2023
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M. Destito, A. Marzullo, R. Leone, P. Zaffino, S. Steffanoni, F. Erbella, F. Calimeri, N. Anzalone, E. De Momi, A. J. M. Ferreri, T. Calimeri, and M. F. Spadea.
Radiomics-Based Machine Learning Model for Predicting Overall and Progression-Free Survival in Rare Cancer: A Case Study for Primary CNS Lymphoma Patients.
In Bioengineering, vol. 10(3) , pp. 285, 2023
  PDF        

Books (1)

P. Zaffino, and M. F. Spadea.
Artificial Intelligence in Medical Image Processing and Segmentation.
MDPI, 2023.
  PDF        

Conference Contributions (1)

M. Destito, P. Zaffino, J. Sabatino, C. Critelli, A. Qoku, F. Buettner, S. De Rosa, and M. F. Spadea.
Deep Learning Model for Video-Classification of Echocardiography Images.
In 2023 IEEE International Conference on Metrology for eXtended Reality, Artificial Intelligence and Neural Engineering (MetroXRAINE), 2023
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