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dr. B. De Santi (Bruno)

Post-Doc

About Me

I graduated in 2017 in Biomedical Engineering and obtained my PhD in 2020 at the Polytechnic University of Turin with the thesis "Innovative strategies for tissue characterization in multimodal images". I'm currently doing a postdoc at the University of Twente (UT) in the Multi-Modality Medical Imaging group (M3I) on artificial intelligence and image processing techniques applied to breast photoacoustic images. My research interests are mainly in the areas of image processing and image registration.

Expertise

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

Organisations

Publications

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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Contact Details

 
 

Visiting Address

University of Twente
Faculty of Science and Technology
Technohal (building no. 18), room 2381
Hallenweg 5
7522NH  Enschede
The Netherlands

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Mailing Address

University of Twente
Faculty of Science and Technology
Technohal  2381
P.O. Box 217
7500 AE Enschede
The Netherlands

Organisations

University of Twente Drienerlolaan 5
7522 NB Enschede
+31 (0)53 489 9111
info@utwente.nl
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