Projecten per jaar
Persoonlijk profiel
Research profile
Marco Mamprin was born in the province of Treviso, north-east of Italy, in December 1988.
He received his BSc Degree in Telecommunication Engineering from Polytechnic of Turin, Italy, in July 2014. Before graduating and while writing his BSc Thesis in Passive Optical Networks, he moved in Padua, Italy, for an experience of two years as consultant in Vodafone Telecommunication Company.
While working, in 2016 he then moved to Trieste, Italy, to study Clinical and Biomedical engineering with a jointly degree program at University of Trieste, Italy, and University of Padua, Italy. During his second year, he moved to the Netherlands and he spent a semester in the Electrical Engineering department of the Eindhoven University of Technology (TU/e). Here he completed the Erasmus program and a short internship in the Video Coding and Architectures (VCA) – Signal Processing Systems Group, working on spectral image analysis for patient tracking in spinal surgery, which will be presented at IEEE Int. Conf. Image Processing (ICIP) 2018. He then has been enrolled in TU/e for his MSc Thesis, continuing on request of Philips Healthcare on the same topic, but on optical images collected with a new augmented-reality surgical navigation technology. With this project, published later in BioMedical Engineering OnLine journal, he graduated in Trieste and obtained the joint title in March 2018.
He is continuing his research as a PhD candidate in the VCA group of TU/e focusing on the development of a computer-based decision system to assist cardiologist for a specific cardiac surgery, project which is financed by the European commission.
Expertise gerelateerd aan duurzame ontwikkelingsdoelstellingen van de VN
In 2015 stemden de VN-lidstaten in met 17 wereldwijde duurzame ontwikkelingsdoelstellingen (Sustainable Development Goals, SDG's) om armoede te beëindigen, de planeet te beschermen en voor iedereen welvaart te garanderen. Het werk van deze persoon draagt bij aan de volgende duurzame ontwikkelingsdoelstelling(en):
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- 1 Soortgelijke profielen
Netwerk
Projecten
- 1 Afgelopen
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Patient-care Advancement with Responsive Technologies aNd Engagement togetheR
de With, P. H. N., Mamprin, M., Zinger, S., Manni, F., Boers, T. & van der Hagen, D.
1/10/17 → 31/12/20
Project: Onderzoek direct
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Decision Trees for Predicting Mortality in Transcatheter Aortic Valve Implantation
Mamprin, M., Zelis, J. M., Tonino, P. A. L., Zinger, S. & de With, P. H. N., 9 feb. 2021, In: Bioengineering. 8, 2, 17 blz., 22.Onderzoeksoutput: Bijdrage aan tijdschrift › Tijdschriftartikel › Academic › peer review
Open Access4 Citaten (Scopus) -
Machine learning for predicting mortality in transcatheter aortic valve implantation: An inter-center cross validation study
Mamprin, M., Lopes, R. R., Zelis, J. M., Tonino, P. A. L., van Mourik, M. S., Vis, M. M., Zinger, S., de Mol, B. A. J. M. & de With, P. H. N., 4 jun. 2021, In: Journal of Cardiovascular Development and Disease. 8, 6, 20 blz., 65.Onderzoeksoutput: Bijdrage aan tijdschrift › Tijdschriftartikel › Academic › peer review
Open AccessBestand1 Citaat (Scopus)56 Downloads (Pure) -
Multi-view 3D skin feature recognition and localization for patient tracking in spinal surgery applications
Manni, F., Mamprin, M., Holthuizen, R., Shan, C., Burström, G., Elmi-Terander, A., Edström, E., Zinger, S. & de With, P. H. N., 7 jan. 2021, In: BioMedical Engineering Online. 20, 15 blz., 6.Onderzoeksoutput: Bijdrage aan tijdschrift › Tijdschriftartikel › Academic › peer review
Open Access -
Gradient boosting on decision trees for mortality prediction in transcatheter aortic valve implantation
Mamprin, M., Zelis, J. M., Tonino, P. A. L., Zinger, S. & With, P. H. N. D., 1 sep. 2020, ICBET 2020: Proceedings of the 2020 10th International Conference on Biomedical Engineering and Technology. Association for Computing Machinery, Inc, blz. 325-329 5 blz. (ACM International Conference Proceeding Series).Onderzoeksoutput: Hoofdstuk in Boek/Rapport/Congresprocedure › Conferentiebijdrage › Academic › peer review
Open AccessBestand87 Downloads (Pure) -
Inter-center cross-validation and finetuning without patient data sharing for predicting transcatheter aortic valve implantation outcome
Lopes, R. R., Mamprin, M., Zelis, J. M., Tonino, P. A. L., Van Mourik, M. S., Vis, M. M., Zinger, S., de Mol, B. A. J. M., de With, P. H. N. & Marquering, H. A., jul. 2020, Proceedings - 2020 IEEE 33rd International Symposium on Computer-Based Medical Systems, CBMS 2020. de Herrera, A. G. S., Rodriguez Gonzalez, A., Santosh, KC., Temesgen, Z., Kane, B. & Soda, P. (redactie). Institute of Electrical and Electronics Engineers, blz. 591-596 6 blz. 9183069Onderzoeksoutput: Hoofdstuk in Boek/Rapport/Congresprocedure › Conferentiebijdrage › Academic › peer review