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dr. B. De Santi (Bruno)

Post-Doc

Expertises

Medicine & Life Sciences
Deep Learning
Ga(Iii)-Dotatoc
Neuroendocrine Tumors
Positron Emission Tomography Computed Tomography
Somatostatin Receptors
Engineering & Materials Science
Magnetic Resonance Imaging
Tumors
Physics & Astronomy
Tumors

Publicaties

Recent
Thuillier, P., Liberini, V., Grimaldi, S., Rampado, O., Gallio, E. , De Santi, B., Arvat, E., Piovesan, A., Filippi, R., Abgral, R., Molinari, F., & Deandreis, D. (2022). Prognostic value of whole-body PET volumetric parameters extracted from 68Ga-DOTATOC-PET/CT in well-differentiated neuroendocrine tumors. The Journal of nuclear medicine, 63(7), 1014-1020. https://doi.org/10.2967/jnumed.121.262652
Salvi, M. , De Santi, B., Pop, B., Bosco, M., Giannini, V., Regge, D., Molinari, F., & Meiburger, K. M. (2022). Integration of Deep Learning and Active Shape Models for More Accurate Prostate Segmentation in 3D MR Images. Journal of imaging, 8(5), Article 133. https://doi.org/10.3390/jimaging8050133
De Santi, B., Spaggiari, G., Granata, A. R. M., Romeo, M., Molinari, F., Simoni, M., & Santi, D. (2022). From subjective to objective: A pilot study on testicular radiomics analysis as a measure of gonadal function. Andrology, 10(3), 505-517. https://doi.org/10.1111/andr.13131
Liberini, V. , De Santi, B., Rampado, O., Gallio, E., Dionisi, B., Ceci, F., Polverari, G., Thuillier, P., Molinari, F., & Deandreis, D. (2021). Impact of segmentation and discretization on radiomic features in 68Ga-DOTA-TOC PET/CT images of neuroendocrine tumor. EJNMMI physics, 8(1), Article 21. https://doi.org/10.1186/s40658-021-00367-6

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Contactgegevens

Bezoekadres

Universiteit Twente
Drienerlolaan 5
7522 NB Enschede

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Postadres

Universiteit Twente
Postbus 217
7500 AE Enschede